Data Masters Podcast

Why Context Is the New Currency in Data Strategy with Chris Tabb of LEIT DATA

nandi.ngubentombi@tamr.com (TAMR) — Wed, 27 May 2026 08:56:00 -0400

Data strategy is shifting upstream, moving from how organizations visualize data to the data that supplies those visualizations. In this episode, Chris Tabb, Co-Founder and Chief Commercial Officer of LEIT DATA, joins us to explore why traditional ROI thinking fails data teams, how the friction framework changes how organizations build business cases and what the emerging context layer means for AI-ready data architectures.

KEY TAKEAWAYS

00:00 Introduction.

02:50 Dashboards only create value when they drive a clear business decision.

05:15 Data strategy is shifting from visualization back toward the quality of the underlying data.

13:30 Business value is a positive evidence effect on business objectives, not a bottom-line metric.

15:10 Friction, measured by time, effort and frequency, is the foundation for a data business case.

17:00 Force multipliers solve a problem once and yield compounding returns across the organization.

22:10 Reading the annual report first will anchor any data project to the business's actual objectives.

26:30 The context layer unifies ontologies, knowledge graphs, semantic layers and vector databases under one concept.

28:30 Scoring and tuning prompt context is how organizations get more accurate, consistent AI outputs.

35:10 Meta metadata, data about the data about the data, is where enterprise value now lives.

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

RESOURCES MENTIONED

Chris Tabb:

https://www.linkedin.com/in/chris-tabb-mean-data-streets/

LEIT DATA LinkedIn:

https://www.linkedin.com/company/leit-data/

LEIT DATA website:

https://leit-data.com/

O'Reilly book by Joe Reis and Matt Housley [Fundamentals of Data Engineering]:

https://www.amazon.com/Fundamentals-Data-Engineering-Robust-Systems/dp/1098108302

#DataStrategy #DataManagement #DataMastersPodcast

Applying the Scientific Mindset to Machine Learning, Data Science and AI with Jonathan Burley of Bloomberg Industry Group

nandi.ngubentombi@tamr.com (TAMR) — Wed, 15 Apr 2026 07:45:29 -0400

Building effective AI products isn't just about using the latest large language model; it's about asking the right questions and solving real problems. In this episode, we’re joined by Jonathan Burley, Director of AI of Bloomberg Industry Group, to explore his journey from modeling climate systems to leading AI strategy. Jonathan discusses why the scientific mindset is critical in machine learning, the value of the minimum viable experiment and how to avoid the pitfalls of generative AI demos.

Key Takeaways:

00:00 Introduction.

03:14 The evergreen skills of handling data nuances help scientists transition into industry.

08:57 The scientific method provides a foundational mindset for reasoning under uncertainty.

16:39 Frame conversations around concrete business problems instead of leading with new technology.

19:46 Focus on minimum viable experiments to test core assumptions before committing to a minimum viable product.

24:46 Find unexciting areas of the economy where AI tools can deliver rapid and measurable ROI.

38:20 Approach generative AI demos with caution because they easily disguise incomplete products.

41:51 Solve the most boring, thankless and repetitive tasks to build tools experts actually want to use.

Resources Mentioned:

Jonathan Burley

https://www.google.com/search?q=https://www.linkedin.com/in/jonathanburley/

Bloomberg Industry Group | LinkedIn

https://www.linkedin.com/company/bloomberg-industry-group/

Bloomberg Industry Group | Website

https://www.bloombergindustry.com/

Actifai | Website

https://www.actif.ai/index.html

Continuous Delivery — David Farley

https://www.youtube.com/c/ContinuousDelivery

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

Bridging the Gap Between Engineering and Business Strategy with Dr. Elena Alikhachkina

nandi.ngubentombi@tamr.com (TAMR) — Mon, 09 Mar 2026 00:00:00 -0400

AI is not a side project; it is a business model shift. In this episode, we’re joined by Dr. Elena Alikhachkina, Chief Data and AI Officer of TE Connectivity, director, board advisor and author, to explore why AI demands a product mindset, how “learning data” powers continuous AI loops and what boards must do now to govern AI responsibly. Elena shares why technical skills alone are no longer enough, how trust is being redefined in the age of digital employees, and why 2026 will mark a turning point for data, governance and enterprise transformation.

Elena challenges the idea that data is “the new oil” and instead reframes it as a living, learning asset embedded in business processes. We unpack what it really means to build AI loops, why product leaders must be deeply embedded in operations and how governance, data readiness and performance accountability must evolve as agents join the workforce.

Key Takeaways:

00:00 Introduction.

02:38 AI is reshaping data careers and elevating product and business skills.

06:00 Product leaders go beyond dashboards to uncover the real business problem.

09:43 Data teams must embed in operations and “walk the floor” to drive adoption.

13:33 Data is not oil — it must power continuous learning loops.

16:15 AI pilots fail when they do not close the loop with user feedback and new data.

20:20 Boards face confusion and must translate AI into governance responsibilities.

23:00 Data governance and data readiness must become board-level metrics.

25:00 Leaders will manage digital employees and agents alongside humans.

28:21 2026 will move AI beyond chat interfaces into embedded enterprise systems.

30:50 The AI opportunity is underestimated, but security and compliance may slow scale.

Resources Mentioned:

Dr. Elena Alikhachkina

https://www.linkedin.com/in/dr-elena-alikhachkina-2265041/

TE Connectivity | LinkedIn

https://www.linkedin.com/company/te-connectivity/

TE Connectivity | Website

https://www.linkedin.com/company/te-connectivity/

Re:Coded Newsletter

https://www.re-coded.com

National Association of Corporate Directors | Website

https://www.nacdonline.org

Johnson and Johnson | Website

https://www.jnj.com

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

Startup Reality Check: Why Cool Products Don’t Always Sell with Martin Miller of FastCTO, M-Vision and Unriveted Media Podcast

nandi.ngubentombi@tamr.com (TAMR) — Thu, 12 Feb 2026 09:01:47 -0500

Most startups don’t fail because the product is bad; they fail because nobody is willing to pay for it. In this episode, Martin Miller, CTO of FastCTO and M-Vision, Inc., and Host of Unriveted Media Podcast, joins us to break down what it really takes to go from a startup idea on a napkin to a real product people will pay for. Martin shares why founders need to validate demand early, understand the buying cycle of their target market and avoid relying on hope as a strategy.

Key Takeaways:

00:00 Introduction.

03:15 Validate your idea early by asking customers if it solves a problem they’d pay to fix.

04:34 Experiential learning shows solving your own problem is a start; traction comes when others pay.

10:28 Building rarely guarantees demand; people need to know you exist.

14:58 Vibe coding feels like magic but it’s built on design patterns.

20:19 Entry-level roles are shrinking but experienced builders benefit most.

25:45 Five great builders beat fifty low-cost developers.

30:18 Don’t obsess over tech, focus on whether customers will pay.

32:15 Talk to prospects early, turn them into paying customers and focus on sales, not just code.

Resources Mentioned:

Martin Miller

https://www.linkedin.com/in/martinemiller/

FastCTO | LinkedIn

https://www.linkedin.com/company/fastcto/

FastCTO | Website

https://fastcto.com/

M-Vision, Inc. | LinkedIn

https://www.linkedin.com/company/m-vision-inc/

M-Vision, Inc. | Website

https://www.m-vision.com

Unriveted Media Podcast | LinkedIn

https://www.linkedin.com/company/unriveted-media/

Unriveted Media Podcast | Website

https://www.unriveted.media

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

Breaking Into Data Careers: Practical Paths for Newcomers and Career Switchers with Avery Smith of Data Career Jumpstart

nandi.ngubentombi@tamr.com (TAMR) — Wed, 21 Jan 2026 06:00:00 -0500

Breaking into the data world doesn’t always have to follow a straight path. Avery Smith, Founder at Data Career Jumpstart, joins us to explore exactly how newcomers and career switchers can do it successfully. Avery shares why most people start with the wrong tools, why data analyst roles offer the easiest entry point and how focusing on skills, portfolio and network creates real momentum. He also breaks down why internal pivots often outperform external job hunts and how AI is reshaping, but not replacing, the work of analysts and data scientists.

Key Takeaways:

00:00 Introduction.

02:37 Beginners shouldn’t start with Python because it adds unnecessary complexity early on.

06:07 Data work should prioritize real business impact over flashy tools.

10:11 In tight markets, companies prefer analytics because it delivers quicker, more reliable wins.

15:13 Skills matter, but your portfolio and network are what actually create opportunities.

21:19 The real value isn’t the code — it’s the insights it produces and how clearly you show them.

26:14 Lead with small asks; advice opens more doors than asking for a job.

33:03 AI has assisted data work, enhancing workflows rather than replacing roles.

37:15 Good data still needs clear explanation to drive real decisions.

Resources Mentioned:

Avery Smith

https://www.linkedin.com/in/averyjsmith/

Data Career Jumpstart

https://datacareerjumpstart.com

Data Career Podcast

https://datacareerpodcast.com

Tableau

https://www.tableau.com/

Excel

https://excel.cloud.microsoft/en-us/

Streamlit

https://streamlit.io/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

How Open Source, Python and AI Are Shaping the Data Future with Wes McKinney of Posit PBC, Voltron Data and Composed Ventures

nandi.ngubentombi@tamr.com (TAMR) — Wed, 07 Jan 2026 06:00:00 -0500

The future of analytics isn’t just about bigger models — it’s about building smarter, more interoperable data systems. Wes McKinney, Principal Architect of Posit PBC, Chief Scientist of Voltron Data and a General Partner at Composed Ventures, joins us to explore how the modern data stack is evolving and what it means for the future of analytics. Wes reflects on his journey building pandas and Apache Arrow, sharing how open-source ecosystems grow, transform and shape the way organizations work with data today. Wes also highlights the rising importance of semantic layers, agentic workflows and defensive coding practices as teams embrace AI-driven development.

Key Takeaways:

00:00 Introduction.

02:32 Wes didn’t expect pandas to drive AI but he recognized Python’s unrealized potential.

05:09 A lucky convergence helped Python’s tools snowball into the AI standard.

10:40 Early big data focused on essentials, not the interoperable stacks we rely on today.

15:44 The composable data stack grew through bottom-up, grassroots open-source momentum.

21:56 Many “data science” roles ultimately became business intelligence and dashboard work.

25:24 Complex statistical work still depends on human judgment, not fully autonomous agents.

30:27 Frontier models retrieve table data reliably, while smaller models fail dramatically.

35:16 Better models and coding agents shifted Wes from an AI skeptic to an adopter.

40:07 AI-driven code demands stronger testing and review to avoid costly failures.

45:14 An AI-built finance project ballooned, revealing how agents inflate codebases.

Resources Mentioned:

Wes McKinney

https://www.linkedin.com/in/wesmckinn/

Posit PBC | LinkedIn

https://www.linkedin.com/company/posit-software/

Posit PBC | Website

https://posit.co/

Voltron Data | LinkedIn

https://www.linkedin.com/company/voltrondata/

Voltron Data | Website

https://voltrondata.com/

Composed Ventures | LinkedIn

https://www.linkedin.com/company/composedvc/

Composed Ventures | Website

https://composed.vc/

pandas

https://pandas.pydata.org/

Apache Arrow

https://arrow.apache.org/

DuckDB

https://duckdb.org/

DataFusion

https://datafusion.apache.org/

Jupyter Notebook

https://jupyter.org/

Parquet

https://parquet.apache.org/

Iceberg

https://iceberg.apache.org/

Delta Lake

https://delta.io/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

Empowering Clinicians Through AI and Data Innovation with Spriha Gogia of Ophelia

nandi.ngubentombi@tamr.com (TAMR) — Mon, 15 Dec 2025 06:00:00 -0500

Data is messy, especially in healthcare. In this episode, Spriha Gogia, Senior Director of Data at Ophelia, joins us to explore how data teams can navigate complexity while driving meaningful outcomes. She shares how embracing the chaos, prioritizing business impact and connecting data to organizational goals help healthcare organizations move from reactive to proactive. Spriha also discusses the evolving role of AI in healthcare, clarifying what AI truly means and how generative models can empower clinicians and improve patient care without losing the human touch.

Key Takeaways:

00:00 Introduction.

02:42 Spriha’s passion for science led her from academia to data-driven healthcare.

06:46 Healthcare data spans systems to wearables, and data teams must make it cohesive.

10:14 Data silos persist, but an enterprise data warehouse brings order to chaos.

16:32 Data leaders should embed in strategy discussions to align with business goals.

20:08 A data product is any analysis or dataset that delivers value to its stakeholders.

24:28 AI mimics human tasks — machine learning predicts outcomes autonomously.

30:10 GenAI can ease clinician burnout by automating repetitive documentation tasks.

35:25 OUD care generates persistent, complex data requiring ongoing patient tracking.

Resources Mentioned:

Spriha Gogia

https://www.linkedin.com/in/sprihagogia/

Ophelia | LinkedIn

https://www.linkedin.com/company/opheliahealth/

Ophelia | Website

https://ophelia.com/

Generative AI

https://generativeai.net/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

From Insights to Impact: Making Data Work for Customers with Peter Laflin of Morrisons

nandi.ngubentombi@tamr.com (TAMR) — Wed, 03 Dec 2025 06:00:00 -0500

Data becomes truly powerful when it starts with people, not platforms. In this episode, Peter Laflin, Director of Data and Analytics at Morrisons, joins us to explore how one of the UK’s largest supermarket chains turns customer insights into smarter business decisions. Peter shares how empathy drives Morrisons’ data strategy, from understanding shoppers’ in-store needs to building AI-driven solutions that make everyday experiences smoother. He also discusses how his team measures success by business impact, fosters neurodiverse collaboration and ensures data remains trustworthy in an AI-first world.

Key Takeaways:

00:00 Introduction.

02:45 Starting with customers helps solve problems, like finding cranberry sauce at Christmastime.

05:50 Data team members work in stores to build empathy and improve the shopping experience.

10:11 Success is measured by business impact, not tickets or code.

14:39 High-performing teams win or lose together, driving customer satisfaction and growth.

22:20 The right environment helps people thrive and do their best work.

25:05 Different thinking styles spark better ideas and stronger solutions.

30:41 Centralize for speed, then decentralize once data foundations are strong.

38:10 The age of data governance demands trust so AI can enhance human judgment.

Resources Mentioned:

Peter Laflin

https://www.linkedin.com/in/peter-laflin-3a92092/?originalSubdomain=uk

Morrisons | LinkedIn

https://www.linkedin.com/company/morrisonsjobs/

Morrisons | Website

https://www.morrisons.jobs/

Google

https://www.google.com/

Gemini

https://gemini.google.com/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

How Semantic Layers Future-Proof Data Strategies with David P. Mariani of AtScale

nandi.ngubentombi@tamr.com (TAMR) — Thu, 06 Nov 2025 07:14:52 -0500

The semantic layer is becoming the backbone of trusted, AI-ready data. We’re joined by David P. Mariani, Chief Technology Officer and Co-Founder of AtScale, to explore why defining a shared business language is critical for scalable analytics and AI innovation. David explains how the semantic layer enables teams to align on metrics, eliminate silos and create flexibility across BI tools, data platforms and emerging AI interfaces. He also shares how open standards and large language models are reshaping how businesses interact with their data.

Key Takeaways:

00:00 Introduction.

02:22 Semantic layers began in BI tools, tightly linked to the presentation layer.

08:02 Combining a semantic layer with LLMs unlocks powerful insights.

12:57 Relying on one BI tool creates inconsistent metrics as AI adds new consumption layers.

17:29 Open-sourcing SML prevents lock-in and standardizes semantic models.

22:38 Semantic layers with GenAI reshape strategy through language and a strong query engine.

25:45 Without a semantic layer, LLMs were wrong 80% of the time.

30:33 Data engineers should build base semantic objects as part of their pipeline.

38:53 MCP with semantic layers and knowledge graphs gives LLMs a richer context.

Resources Mentioned:

David P. Mariani

https://www.linkedin.com/in/davidpmariani/

AtScale | LinkeIn

https://www.linkedin.com/company/atscale-inc-/

AtScale | Website

https://www.atscale.com/

SML

https://www.atscale.com/blog/introduction-to-sml-a-standard-semantic-modeling-language/

Model Context Protocol (MCP)

https://modelcontextprotocol.io/docs/getting-started/intro

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

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Leading Financial Transformation Through Data Innovation with Jean-Christophe Lionti of Mizuho

nandi.ngubentombi@tamr.com (TAMR) — Mon, 27 Oct 2025 10:49:53 -0400

The role of the Chief Data Officer is no longer confined to governance and compliance — it’s now about driving innovation, business growth and strategic transformation. We’re joined by Jean-Christophe Lionti, Member of the Board of Trustees of RSF | Regenerative Social Finance and Managing Director and Chief Data Officer of Mizuho, to explore how data leaders balance risk management with growth, build strong foundations for AI and turn data into a business asset. JC shares insights on breaking down organizational silos, building trusted pipelines, aligning data initiatives with business goals and preparing enterprises for an AI-driven future. He also reflects on lessons from his leadership journey and offers advice for aspiring CDOs navigating the data landscape.

Key Takeaways:

00:00 Introduction.

02:05 The CDO balances between offense and defense, driving innovation.

04:50 A 360-degree customer view is essential for growth and scale.

10:43 Data warehouses help, but rapid tech change makes them only part of the solution.

15:48 Build a rigorous foundation with minimal data movement and progressive curation.

20:12 Legacy practices often aim to fix data issues, but cleansing remains essential.

26:12 Delivering an MVP quickly and unlocking funding and significant annual savings.

29:54 AI is everywhere, so organizations must invest strategically to maximize its value.

34:57 Stay close to the business and focus data efforts where they deliver value.

Resources Mentioned:

Jean-Christophe Lionti

https://www.linkedin.com/in/jean-christophe-lionti-539499/

RSF | Regenerative Social Finance | LinkedIn

https://www.linkedin.com/company/rsf-social-finance/

RSF | Regenerative Social Finance | Website

https://rsfsocialfinance.org/

Mizuho | LinkedIn

https://www.linkedin.com/company/mizuho/

Mizuho | Website

https://www.mizuhogroup.com/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataMastersPodcast

Balancing Data Context and AI Scale with Sastry Durvasula of TIAA

nandi.ngubentombi@tamr.com (TAMR) — Wed, 17 Sep 2025 09:40:33 -0400

The future of data-driven organizations depends on context, not just models. We’re joined by Sastry Durvasula, Chief Operating, Information and Digital Officer of TIAA, to explore how a century-old institution is transforming operations, client experiences and services with next-generation technology. Sastry shares how TIAA balances innovation with responsibility, leveraging vast datasets and AI to solve complex problems at scale while protecting vulnerable clients. He highlights strategies for embedding empathy in customer interactions, improving data quality and building a “workforce of the future” where humans and machines collaborate seamlessly.

Key Takeaways:

00:00 Introduction.

03:09 TIAA manages vast data across retirement, wealth and asset management.

08:00 AI strategy rests on four pillars: tech, client experience, operations, and services.

16:10 Human service agents handle complex participant needs with AI support.

21:42 Operating officers must blend operational expertise with AI and technology.

25:13 AI solutions help protect older adults from fraud and cognitive decline risks.

30:25 Complaints come through every channel and require timely resolution.

34:56 Beyond semantics, the real focus is on building the workforce of the future with AI.

38:55 AI agents shift economies by changing how consumers shop and services operate.

Resources Mentioned:

Sastry Durvasula

https://www.linkedin.com/in/durvasula/

TIAA | LinkedIn

https://www.linkedin.com/company/tiaa/

TIAA | Website

https://www.tiaa.org/public

TIAA Institute Research

https://www.tiaa.org/public/institute

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

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Redefining Energy Through Data and AI with Dak Liyanearachchi of NRG Energy

nandi.ngubentombi@tamr.com (TAMR) — Wed, 03 Sep 2025 06:00:00 -0400

A traditional energy company is rewriting its future with data, AI and a customer-first mindset. We’re joined by Dak Liyanearachchi, Executive Vice President and Chief Technology Officer of NRG Energy, to explore how one of America’s largest energy companies is redefining its identity as a tech-forward, customer-centric organization. Dak shares how NRG is connecting the entire energy value chain — from generation to smart home consumption — through data and AI innovation. We also discuss the broader implications of grid efficiency, AI-driven forecasting and the cultural change required to power true digital transformation.

Key Takeaways:

(03:04) NRG spans energy generation to smart home energy use across deregulated markets.

(07:05) Transforming the customer experience starts with managing home energy at the last mile.

(09:48) Smart energy usage requires intelligent management of consumption and generation.

(10:49) Data enables personalized insights to help customers choose the right energy plan.

(14:24) A forecasting model simulates usage and market data to guide five-year energy planning.

(20:00) GenAI boosts productivity and improves customer engagement through automated support.

(25:02) The challenge isn’t adopting GenAI — it’s clearly defining what to do with it.

(28:57) Ongoing transformation is fueled by a tech-first mindset and a focus on delivering value.

Resources Mentioned:

Dak Liyanearachchi

https://www.linkedin.com/in/dak-liyanearachchi-0664381/

NRG Energy | LinkedIn

https://www.linkedin.com/company/nrgenergy/

NRG Energy | Website

https://www.nrg.com/

Renew Home

https://www.renewhome.com/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

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Scaling Efficient Marketing Through Generative AI Automation with Lillian Pierson of Data-Mania

nandi.ngubentombi@tamr.com (TAMR) — Wed, 20 Aug 2025 06:00:00 -0400

AI is everywhere, but what does meaningful adoption actually look like in marketing? We’re joined by Lillian Pierson, Fractional CMO and Growth Advisor of Data-Mania, to unpack how organizations can use AI strategically to drive results. Lillian outlines practical examples and a maturity model for AI in marketing, helping teams align tech with business outcomes. She breaks down where AI delivers the most value — from low-risk productivity tools to fully automated, cross-functional workflows — and offers guidance on the metrics that matter, how to tackle data fragmentation and why upskilling is critical for growth.

Key Takeaways:

00:00 Introduction

02:53 AI shifts marketing from manual campaigns to real-time systems.

05:29 Marketing success with AI depends more on strong data foundations than flashy tools.

10:41 The bigger the AI investment, the more strategic de-risking it needs.

15:59 Humanic uses AI to find hidden user segments from behavioral data.

19:57 Marketing issues often stem from data silos and fragmentation.

22:22 Without a data layer, ad algorithms can’t optimize or validate market fit.

26:27 AI bridges marketing and tech through vibe coding and automation.

30:29 Try vibe coding tools — you’ll be surprised what you can build.

Resources Mentioned:

Lillian Pierson

https://www.linkedin.com/in/lillianpierson/

Data-Mania | LinkedIn

https://www.linkedin.com/company/data-mania/

Data-Mania | Website

https://www.data-mania.com/

Cursor

https://cursor.com/

Windsurf

https://windsurf.com/editor

Humanic

https://www.humanic.com/

Growth Solutions

https://growthsolutions.in/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

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Moving Beyond Chatbots: Rethinking AI Interfaces with Ozair Ali of ekai

nandi.ngubentombi@tamr.com (TAMR) — Wed, 06 Aug 2025 06:00:00 -0400

AI can mimic human language, but does that make it intelligent? We’re joined by Ozair Ali, Co-Founder of ekai, to unpack what it truly takes to turn cutting-edge AI into real-world solutions. Drawing on his global experience in startups, government and academia, Ozair brings unique insight into the limitations and possibilities of LLMs in the enterprise. He walks us through the practical UX challenges of working with LLMs, the statistical roots of modern AI and what makes an interface more than just a chat window.

Key Takeaways:

(02:56) AI terms often come from engineering, causing common confusion.

(05:57) Like the brain, LLMs show emergent behavior that’s hard to explain.

(09:00) LLMs mimic human speech but lack calibration.

(16:11) RAGs aren’t the first step — cheaper, simpler methods often get the same results.

(20:07) It’s mind-blowing that chat is still the default AI interface, as something better must exist.

(25:18) Non-technical users can build fast, blurring the line between data and software engineers.

(31:00) LLMs favor data-rich giants, but there’s hope for new disruptors to emerge.

(32:49) AI can unlock opportunities globally despite local infrastructure challenges.

Resources Mentioned:

Ozair Ali

https://www.linkedin.com/in/ozairali/

ekai | LinkedIn

https://www.linkedin.com/company/ekaiai/

ekai | Website

https://www.ekai.ai/

Conway’s Game of Life

https://playgameoflife.com/

Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

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Solving Business Problems With Smarter Data Products with Manav Misra of Regions Bank

nandi.ngubentombi@tamr.com (TAMR) — Wed, 23 Jul 2025 06:30:00 -0400

Most data teams focus on building assets — only a few focus on making them useful. Manav Misra, Chief Data and Analytics Officer of Regions Bank, explores what it takes to make data genuinely useful in a complex enterprise. Manav shares lessons from academia, startups and enterprise leadership, walking us through how he applies a product mindset to drive real impact with data in the banking sector.

Key Takeaways:

(02:25) Falling in love with AI led Manav from engineering to academia and beyond.

(06:16) Startups offer a faster learning curve for early career professionals.

(10:02) Start with the customer problem and keep solutions as simple as possible.

(15:04) A data product must be usable, measurable and deliver real impact.

(19:49) Manav added “analytics” to his title to highlight a focus on business impact.

(23:03) Data product partners bridge tech teams and business users to deliver real value.

(26:19) Starting from consumption ensures governance efforts stay focused and impactful.

(28:28) Federated governance builds ownership and relevance across teams.

Resources Mentioned:

Manav Misra

https://www.linkedin.com/in/manavmisra/

Regions Bank | Website

https://www.linkedin.com/company/regions-financial-corporation/

Regions Bank | Website

https://www.regions.com/

Colorado School of Mines

https://www.mines.edu/

The opinions expressed in the presentation are statements of the speaker’s opinion, are intended only for informational purposes, and are not formal opinions of, nor binding on Regions Bank, its parent company, Regions Financial Corporation and their subsidiaries, and any representation to the contrary is expressly disclaimed.

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Balancing Innovation and Security in Analytics with Oren Falkowitz of Gigasheet

nandi.ngubentombi@tamr.com (TAMR) — Thu, 26 Jun 2025 10:05:53 -0400

Security isn’t just a checkbox — it’s the foundation of trustworthy data analytics. Oren Falkowitz, Advisor at Gigasheet, joins us to explore what it really takes to secure data in the digital era. With a background spanning NSA, US Cyber Command, Amazon and Cloudflare, Oren brings a deep understanding of how to strike a balance between access and protection, especially as analytics demands grow. He explains why most companies fail to define what they need to protect, why phishing remains a top vulnerability and how treating security as a technology — not just a human — problem changes the game.

Key Takeaways:

(03:24) Government and private sector data security face similar foundational challenges.

(06:08) User training alone won’t stop phishing — it’s like expecting drivers not to text.

(10:29) Apache Accumulo shows cell-level controls matter more than having all the data.

(18:50) Intelligence turns technical data into real decisions.

(24:42) LLMs need rich, licensed data — scraping alone isn’t enough.

(27:59) Cyberattacks work because they look real, visually or organizationally authentic.

(31:03) Security improves by mastering the basics, not chasing the newest trend.

(32:43) Strong analytics matter more than the breach itself when it comes to security impact.

Resources Mentioned:

Oren Falkowitz

https://www.linkedin.com/in/orenjfalkowitz/

Gigasheet | LinkedIn

https://www.linkedin.com/company/gigasheet/

Gigasheet | Website

https://gigasheet.com/

Apache Accumulo

https://accumulo.apache.org/

Cloudflare

https://www.cloudflare.com/

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Amplifying Community Voices Through Data with Russell Stevens of MIT Center for Constructive Communication

nandi.ngubentombi@tamr.com (TAMR) — Fri, 13 Jun 2025 06:00:00 -0400

Data doesn’t just reflect communities — it can help shape more inclusive, constructive conversations. We’re joined by Russell Stevens, Head of Strategy and Development at the MIT Center for Constructive Communication, to explore how qualitative data, storytelling and ethical AI design can bridge gaps in society and decision-making. Russell shares how his team moved beyond traditional media analytics to build a platform that amplifies unheard voices through small-group conversations. He explains why trust, local context and human-in-the-loop sense-making are critical for turning narratives into actionable insight.

Key Takeaways:

(03:50) MIT used early language models to analyze media data and gauge public opinion.

(09:27) Ingesting more data only amplified the loudest voices, not diverse perspectives.

(18:31) Peer-led talks in Newark schools revealed stories that would never be revealed to adults.

(24:55) Like Tamr, the process uses humans to guide AI through iterative coding.

(30:40) Radical transparency and consent are core to ethical data use.

(37:07) Hearing humanity in others is essential to overcoming division.

(41:32) Replacing people with AI personas is a rejected dystopian shortcut.

(43:12) Without humanity, all you’re left with is empty thematic summaries.

Resources Mentioned:

Russell Stevens

https://www.linkedin.com/in/russell5mit/

MIT Center for Constructive Communication | LinkedIn

https://www.linkedin.com/company/cccatmit/

MIT Center for Constructive Communication | Website

https://www.ccc.mit.edu/

Cortico

https://cortico.ai/

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Building Emotional Loyalty Through Data with Claudia Infante of Margaritaville

nandi.ngubentombi@tamr.com (TAMR) — Wed, 21 May 2025 06:00:00 -0400

Data is the backbone of every great brand, but for Margaritaville, it’s also the bridge to a lifestyle of laid-back escapes and unforgettable memories. Claudia Infante, Chief Data Officer of Margaritaville, joins us to explore how this iconic brand blends data-driven decisions with the spirit of escapism. Claudia shares insights into the company’s unique licensing model, their approach to data governance, and how they prioritize customer experience while managing diverse data sources.

Key Takeaways:

(02:12) Margaritaville grew from a song to a lifestyle brand, starting with a t-shirt shop in Key West.

(06:26) Hotels handle more complex customer and operational data than restaurants.

(11:56) Margaritaville is an emotion, creating deep connections and lasting memories.

(17:27) Strong brands build community and connections beyond just products.

(20:43) Intentional data collection focuses on purpose and meaningful use over hoarding.

(27:03) Clear data purpose reduces risk and aligns with business goals.

(31:23) Marketing focuses on storytelling and letting customers engage on their terms.

(37:36) Margaritaville offers diverse experiences, letting customers choose their own path.

Resources Mentioned:

Claudia Infante

https://www.linkedin.com/in/claudiainfante/

Margaritaville | LinkedIn

https://www.linkedin.com/company/margaritaville/

Margaritaville | Website

https://www.margaritaville.com/

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Reducing Documentation Burden Through Real-Time Data Capture with Dr. Stephanie Lahr of Artisight

nandi.ngubentombi@tamr.com (TAMR) — Fri, 09 May 2025 06:48:17 -0400

AI isn’t magic — it’s science powered by quality data. Dr. Stephanie Lahr, Chief Experience Officer of Artisight, sits down with us to explain how data, computer vision and ambient sensors are transforming patient care. She reveals how Artisight helps clinicians reclaim time by automating documentation, improving the quality of data and restoring focus to human connection. Stephanie also shares her journey from internal medicine physician to healthcare technology leader, emphasizing that reducing burnout and elevating care begins with smarter data collection.

Key Takeaways:

(03:04) Stephanie’s journey from clinician to digital health leader started with a hurricane and an EMR revelation.

(08:38) Even in the time of Hippocrates, medicine has always relied on data through observation and testing.

(12:08) In healthcare, patient care comes first — data entry comes second.

(17:40) Computer vision captures real-time patient data without burdening clinicians.

(21:30) Virtual care uses real-time support without recording or storing sensitive data.

(27:39) High-quality insights depend on high-quality data — it’s a continuous cycle.

(31:20) AI success in healthcare requires collaboration between clinicians, data scientists and system leaders.

(34:41) Precision medicine improves treatment, but restoring humanity to care is what truly drives innovation.

Resources Mentioned:

Dr. Stephanie Lahr

https://www.linkedin.com/in/stephanie-lahr-md-chcio-767b916/

Artisight | LinkedIn

https://www.linkedin.com/company/artisight/

Artisight | Website

https://artisight.com/

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Using Real-Time Insights To Drive Manufacturing and Supply Chain Agility with Tom Ferrucci of Natco Home Group

nandi.ngubentombi@tamr.com (TAMR) — Wed, 30 Apr 2025 06:31:08 -0400

Real-time data from the factory floor is becoming a powerful driver of operational efficiency and competitive advantage. We’re joined by Tom Ferrucci, Chief Information Officer of Natco Home Group, to unpack how data is transforming the manufacturing floor. With over 30 years of experience in IT and digital transformation, Tom shares how manufacturing processes are not just supported by data but are actively producing it, offering new insights into efficiency, automation and supply chain resilience.

Key Takeaways:

(02:26) The manufacturing floor holds valuable data that drives cost savings and efficiency gains.

(06:37) Real-time telemetry from machines replaces outdated manual tracking and offers deeper insights.

(07:46) RFID tags, originally for compliance, are now enhancing internal visibility in warehousing operations.

(10:17) Automated systems use sensor data to reduce scrap, speed up repairs and trigger maintenance workflows.

(11:37) Linking data to key metrics such as mean time to repair helps drive operational improvements.

(15:47) Applying data-driven strategies to the supply chain helps improve predictability in a volatile environment.

(21:00) Strong data governance and classification ensure fast-moving insights stay accurate and reliable.

(22:18) Manufacturing is data-rich and full of untapped potential when fully leveraged.

Resources Mentioned:

Tom Ferrucci

https://www.linkedin.com/in/tomferrucci/

Natco Home Group | LinkedIn

https://www.linkedin.com/company/natco-home-products/

Natco Home Group | Website

https://www.natcohome.com/

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Building Credibility in the Age of Misinformation with Paul Smith of Amnesty International

nandi.ngubentombi@tamr.com (TAMR) — Wed, 09 Apr 2025 06:00:00 -0400

What if the truth was buried in a sea of misinformation and it was your job to find it? Paul Smith, Chief Information Officer of Amnesty International, joins us to explore how unstructured data drives advocacy in the fight for global human rights. Paul highlights the ethical and operational complexities of data in the nonprofit world, making this a must-listen for anyone navigating data integrity in high-stakes environments.

Key Takeaways:

(03:16) Unstructured data is key to documenting human rights abuses.

(06:43) Amnesty International verifies data using reverse image search, metadata and cross-referencing.

(12:34) SharePoint and Preservica help manage, archive and access multilingual data.

(16:35) AI adds speed and scale across Amnesty International’s research and evidence processes.

(20:21) Generative adversarial networks help mitigate AI risks like bias and censorship.

(24:18) Nonprofits need to guide people, from learning about the cause to becoming advocates.

(28:33) The future of advocacy depends on AI, crowdsourcing and protecting privacy.

(30:13) The flood of false information is an important area to watch out for in advocacy efforts.

Resources Mentioned:

Paul Smith

https://www.linkedin.com/in/pdsmithmba/

Amnesty International

https://www.linkedin.com/company/amnesty-international/

Preservica

https://preservica.com/

Microsoft Sentinel

https://azure.microsoft.com/en-us/products/microsoft-sentinel/

Microsoft Defender

https://www.microsoft.com/en-us/microsoft-365/microsoft-defender-for-individuals

SharePoint

https://www.microsoft.com/en/microsoft-365/sharepoint/collaboration

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Building a Data-Driven Future in Construction with Annette Cooper of Graham

nandi.ngubentombi@tamr.com (TAMR) — Thu, 27 Mar 2025 06:00:00 -0400

Gut instinct alone isn’t enough in construction — data is now a game-changer. Annette Cooper, Director of Data and Analytics at Graham, sits down with us to explore how data is transforming the construction industry. She explains how Graham leverages analytics to manage risk, optimize efficiency and improve project execution. Annette emphasizes that success comes from solving real business problems rather than simply generating reports.

Key Takeaways:

(03:17) Graham is expanding rapidly through acquisitions, creating new data challenges.

(04:05) Risk management is a priority in an industry with long project timelines and tight margins.

(07:26) Many project managers are eager for data insights but lack access to the right tools.

(09:05) A standardized data strategy is essential for integrating multiple systems post-acquisition.

(12:45) Project estimations require a balance of historical data and real-world unpredictability.

(17:22) Effective data teams focus on solving problems, not just collecting data.

(20:01) Data should drive decisions, not just generate reports that frustrate users.

(25:42) Predictive models can highlight risks early, but human expertise remains crucial.

(31:55) The future of AI in construction lies in automating insights, not replacing workers.

(35:10) AI can streamline building code compliance by identifying design issues before construction begins.

Resources Mentioned:

Annette Cooper

https://www.linkedin.com/in/annette-cooper-2aa442bb/

Graham | LinkedIn

https://www.linkedin.com/company/grahambuilds/

Graham | Website

https://www.grahambuilds.com/

New Zealand Ministry of Business, Innovation & Employment

https://www.mbie.govt.nz/

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Understanding Audience Intent Through Content Consumption with Joetta Gobell of Dotdash Meredith

nandi.ngubentombi@tamr.com (TAMR) — Fri, 21 Feb 2025 06:00:00 -0500

Joetta Gobell, Senior VP of Data Strategy and Insights at Dotdash Meredith, joins us to discuss strategies for reaching consumers in their moment of need. She explains how Dotdash Meredith leverages its vast network of brands to provide timely, relevant content. She highlights how D/Cipher helps advertisers connect with audiences based on their content interactions rather than invasive data collection. She emphasizes prioritizing user experience over ad revenue to ensure advertising enhances rather than disrupts content engagement.

Key Takeaways:

(02:31) Leveraging the power of brands to help people in their moment of need.

(04:14) Joetta’s background in math, psychology, and cognitive science shapes her approach to data.

(06:09) Publishing has constantly evolved, requiring adaptability.

(08:58) Human needs haven’t changed — only the way we deliver information.

(10:28) Prioritizing user experience leads to better long-term success.

(14:07) Targeting needs and behavior is more effective than using user data.

(19:25) Data is not the only source of insight — context is more powerful than identity-based targeting.

(24:50) Balancing AI and human teams by understanding each other’s strengths and weaknesses.

(31:05) Understanding content meaning is key to effective advertising.

(40:26) Interpreting data is more valuable than simply collecting it.

Resources Mentioned:

Joetta Gobell -

https://www.linkedin.com/in/joetta-gobell-9378832/

Dotdash Meredith | LinkedIn -

https://www.linkedin.com/company/dotdashmeredith/

Dotdash Meredith | Website -

https://www.dotdashmeredith.com/

D/Cipher by Dotdash Meredith -

https://www.dotdashmeredith.com/advertising

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How To Pitch Your Data Story with Scott Taylor of MetaMeta Consulting

nandi.ngubentombi@tamr.com (TAMR) — Wed, 18 Dec 2024 10:37:00 -0500

Scott Taylor, “The Data Whisperer” and Principal Consultant of MetaMeta Consulting, shares techniques for communicating the value of data in a business context. He emphasizes simplifying complex data concepts to align with business goals, advocating for clear communication, the avoidance of technical jargon and the use of relatable analogies. From practical strategies for engaging C-suite leaders to insights on navigating AI-driven challenges, Scott offers actionable advice for data practitioners looking to bridge the gap between technical expertise and business outcomes.

Key Takeaways:

(03:24) Two types of data storytelling: one for analytics and one for data management.

(05:30) Truth in data must come before deriving meaning from it.

(08:10) Avoid buzzwords and focus on vocabulary the business understands.

(12:21) Listen to earnings calls or strategy meetings to learn your company’s objectives.

(17:23) Master data is foundational to delivering business value at scale.

(22:17) Use industry-specific analogies to clarify data’s impact.

(26:42) Poor data management can amplify errors in AI-driven systems.

(28:04) Master data challenges exist in every industry and era.

(33:19) Developing storytelling skills is essential for career growth.

Resources Mentioned:

Scott Taylor -

https://www.linkedin.com/in/scottmztaylor/

MetaMeta Consulting -

https://www.linkedin.com/company/metametaconsulting/

"Telling Your Data Story" by Scott Taylor -

https://www.metametaconsulting.com/the-book

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Building Data-Driven Marketplaces and Automated Logistics with Natarajan Subbiah of Uber Freight

nandi.ngubentombi@tamr.com (TAMR) — Wed, 11 Dec 2024 06:23:03 -0500

Natarajan Subbiah, Chief Product Officer of Uber Freight, joins us to discuss how data science is reshaping the logistics industry. He explains Uber Freight’s innovative approach to optimizing supply chains by combining human expertise, digitalized workflows and large language models to automate pricing, load tracking and delivery management. Natarajan also shares insights on balancing centralized and decentralized teams, the role of data in ensuring marketplace liquidity and strategies for building high-performing, collaborative teams.

Key Takeaways:

(02:30) Marketplaces thrive on data to balance supply and demand efficiently.

(03:30) Uber Freight”s introduction of upfront pricing to simplify logistics.

(07:20) Liquidity is the key metric for marketplace success.

(07:35) The easiest way to grow a marketplace is to constrain it on multiple dimensions.

(12:10) 80 to 90% of complete goods or supply parts for goods get moved on trucks.

(17:22) What scaling automatization means for the freight industry.

(22:14) Over time, about 80% of freight will be moved in a highly automated way.

(26:59) Centralized vs de-centralized teams, pros and cons.

Resources Mentioned:

Natarajan Subbiah -

https://www.linkedin.com/in/natarajan-subbiah-b82ba3a/

Uber Freight | LinkedIn -

https://www.linkedin.com/company/uber-com/

Uber Freight | Website -

https://www.uberfreight.com/

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How Data Streaming Transforms Data Flow and Analytics with Will LaForest of Confluent

nandi.ngubentombi@tamr.com (TAMR) — Tue, 26 Nov 2024 12:01:56 -0500

On this episode, we are joined by Will LaForest, Global Field CTO of Confluent, to discuss the transformative impact of data streaming on businesses and platforms. He explains the shift from traditional monolithic big data models to data streaming systems, moving from data analysis to continuously bringing new data to the same questions, enabling hyper-personalized customer experiences and operational efficiency.

Key Takeaways:

(02:59) Will’s early career sparked a passion for large-scale data systems.

(05:25) Data streaming shifts the paradigm by delivering a constant stream of data to the questions.

(08:23) Data streaming helps decouple data producers and deliver data to the consumers in real time.

(17:05) Real-time data streams are used across multiple industries, including financial services and cybersecurity.

(19:36) Ride-sharing exemplifies the indispensable role of data streaming.

(22:49) Reliability, decoupling and speed are some of the reasons data streaming has taken off.

(27:00) Streaming supports hyper-personalized experiences.

(39:36) Confluent simplifies streaming adoption for businesses of all sizes.

Resources Mentioned:

Will LaForest -

https://www.linkedin.com/in/willlaforest/

Confluent | LinkedIn-

https://www.linkedin.com/company/confluent/

Confluent Platform -

https://www.confluent.io/

“Data Mesh” by Zhamak Dehghani -

https://www.thoughtworks.com/insights/books/data-mesh

Apache Kafka -

https://kafka.apache.org/

Apache Flink -

https://kafka.apache.org/

MongoDB -

https://www.mongodb.com/

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How Ground Truth Data Fuels Accurate Machine Learning Models with Rouzbeh Gerami of Nielsen

nandi.ngubentombi@tamr.com (TAMR) — Wed, 13 Nov 2024 06:05:00 -0500

Rouzbeh Gerami, Senior Vice President of Data Science at Nielsen, joins us on this episode to discuss the complexities of measuring audiences and defining their characteristics across diverse media and platforms. He explains how the shift toward digital privacy impacts audience measurement and highlights the crucial role of high-quality ground truth data in teaching machine learning models to correct massive raw data.

Key Takeaways:

(03:08) How physics equips data scientists with unique skills.

(08:43) Nielsen’s history and mission.

(09:23) The evolution of audience measurement.

(11:46) The challenge of measuring fragmented digital media consumption.

(16:12) Nielsen’s efforts to stay relevant in the privacy-protected world.

(20:20) Ground truths help AI learn and correct massive data.

(23:40) Privacy’s impact on smaller publishers and media outlets.

(32:40) The need for continuous learning in a rapidly evolving industry.

Resources Mentioned:

Rouzbeh Gerami -

https://www.linkedin.com/in/rouzbeh-gerami-69b0b77/

Nielsen One Ads -

https://www.nielsen.com/news-center/2023/nielsen-one-launches-globally/

“The Innovator’s Dilemma” by Clayton Christensen -

https://www.hbs.edu/faculty/Pages/item.aspx?num=46

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Transforming Data and AI for Seamless Customer Experiences with Lori Bieda of BMO

nandi.ngubentombi@tamr.com (Tamr) — Wed, 30 Oct 2024 06:05:00 -0400

In this episode, Lori Bieda, Chief Data and Analytics Officer of BMO North American Personal and Business Bank, explains how BMO leverages data and AI to drive business efficiency, personalize and enhance customer experiences, and mitigate risk. Lori highlights the importance of balancing centralized data governance with data democratization to make fast, smart and effective decisions across business units. She also shares how BMO is using AI-powered tools to make its home-buying process more transparent and personalized.

Key Takeaways:

(02:07) BMO centralizes data governance and distributes analytics across business units.

(04:50) Centralized data governance ensures regulatory compliance and reduces costly data issues.

(07:59) Decentralized analytics empower teams to make fast, data-driven business decisions.

(09:06) The importance of democratizing data and making it easily consumable for business units.

(12:23) Personalized customer experiences and fraud prevention.

(17:52) The risk of data security breaches has grown significantly, necessitating a strong focus on AI-driven fraud prevention.

(19:48) Convincing organizations to invest in data and AI requires showing both the risks of inaction and the benefits of investment.

(24:00) BMO is using AI to streamline its home-buying process, creating a more transparent and personalized experience.

Resources Mentioned:

Lori Bieda -

https://www.linkedin.com/in/loribieda/

BMO North American Personal and Business Bank -

https://www.linkedin.com/company/bank-of-montreal/

BMO | Website -

https://www.bmo.com/

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Evolution in Healthcare and Education Through Data and AI with Tom Andriola of UC Irvine

nandi.ngubentombi@tamr.com (Tamr) — Wed, 16 Oct 2024 07:39:00 -0400

On today’s episode, we are joined by Tom Andriola, Vice Chancellor, Information, Technology and Data, and Chief Digital Officer of UC Irvine. Tom discusses the growing impact of AI and technology on education and healthcare. From AI assisting in patient diagnosis to unbundling traditional degree programs, Tom reveals how institutions like UCI are adapting to the changing digital and workforce landscape. He explores how AI, data analysis and creative innovation can revolutionize the future of both learning and healthcare, making them more efficient, accessible and personalized.

Key Takeaways:

(02:47) UCI operates across two distinct sectors: healthcare and education.

(03:27) Healthcare and education are becoming more data-driven, from teaching to patient care.

(05:09) Effective AI depends on having strong data foundations.

(08:33) The traditional four-year degree model is evolving due to online and AI-assisted learning.

(10:30) Unbundling education focuses on mastering specific skills, not completing full degrees.

(12:19) UCI offers both online and in-person options for lower-level courses.

(16:30) Wearable tech is reshaping healthcare by providing continuous health data.

(20:57) UCI’s student and patient-centered strategy uses data to enhance outcomes and personalize care.

(24:15) The future of data is moving toward conversational, query-based, AI-driven analytics.

(28:04) Data analysts may evolve into expert prompters, helping businesses get what they need faster.

(34:47) Institutions need to challenge whether data aligns with their values.

Resources Mentioned:

Tom Andriola -

https://www.linkedin.com/in/tomandriola/

UC Irvine -

https://www.linkedin.com/school/university-of-california-irvine/

Digital Squared -

https://digitalsquared.buzzsprout.com/

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Integrating AI and Data Into Executive Strategy with Austin Tidmore

nandi.ngubentombi@tamr.com (Tamr) — Wed, 02 Oct 2024 12:23:00 -0400

On today’s episode, we’re joined by Austin Tidmore, Vice President of Data Innovation at ASGN Incorporated. Austin shares his vision of innovation as an intentional data-powered process developed to achieve business goals. He emphasizes the importance of augmenting human capabilities with AI rather than replacing them and highlights the critical intersection of innovation and data in shaping enterprise-level strategies.

Key Takeaways:

(02:05) Unify businesses with data and AI to operate more efficiently and add value for clients.

(03:10) Innovation is linked to maximizing operational efficiency.

(06:35) Consulting accelerates career growth through diverse exposure.

(12:33) The difference between innovation and disruption.

(13:47) The talent and staffing industry is ripe for innovation.

(15:00) AI augments human decisions, it doesn’t replace them.

(18:30) The role of AI in both crafting résumés and mining through the noise.

(23:47) The challenges for LLM and enterprises posed by unstructured data.

(26:40) Graph databases can help structure and navigate data.

(29:46) Innovation is intentional and needs to align with business value.

Resources Mentioned:

Austin Tidmore -

https://www.linkedin.com/in/austintidmore/

ASGN Incorporated | LinkedIn -

https://www.linkedin.com/company/asgn-incorporated/

ASGN Incorporated | Website -

https://www.asgn.com/

University of North Texas -

https://www.unt.edu/

Clayton Christensen's Disruptive Innovation -

https://hbr.org/1995/01/disruptive-technologies-catching-the-wave

Hadoop and Big Data -

https://hadoop.apache.org/

Spark Clusters -

https://spark.apache.org/

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How AI Enhances Human Collaboration and Drives Innovation with Nishit Sahay of Marvell Technology

nandi.ngubentombi@tamr.com (Tamr) — Thu, 19 Sep 2024 14:57:00 -0400

On today’s episode, we welcome Nishit Sahay, Chief Information Officer of Marvell Technology. Nishit discusses the role of data in shaping business strategies, particularly in high-stakes areas. He explains how Marvell navigates the complexities of an unstable global supply chain while developing cutting-edge semiconductor solutions. Nishit also emphasizes the importance of collaboration between technology and people, asserting that one should not replace the other.

Key Takeaways:

(00:43) Marvell’s semiconductors power many AI applications and 5G technologies.

(06:31) Data-driven transformations come from integrated ecosystems and business processes.

(07:51) Data ecosystems support faster, more informed decision-making.

(10:00) The importance of a company’s collaborative culture and clean processes.

(14:19) Global factors like geopolitical tensions and shifts in silicon demand impact Marvell's supply chain.

(18:07) Building and feeding AI systems.

(23:35) Technology doesn’t replace people; it enhances their productivity.

(27:00) Nishit’s career advice: Ask for help and foster collaboration.

Resources Mentioned:

Nishit Sahay -

https://www.linkedin.com/in/nishit-sahay-8143641/

Marvell Technology | LinkedIn -

https://www.linkedin.com/company/marvell/

Marvell website -

https://www.marvell.com/

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Cracking the Code: AI Integration Strategies for Business Success with Elena Alikhachkina, Data and Technology Pioneer, Global Data Power Woman

nandi.ngubentombi@tamr.com (Tamr) — Thu, 14 Dec 2023 10:00:00 -0500

In this episode of the Data Masters Podcast, your host, Anthony Deighton, welcomes Elena Alikhachkina to discuss the intricate world of AI and its profound impact on business. As AI quickly becomes a part of everyday life, business leaders grapple with challenges in effectively aligning it with their strategies. Elena sheds light on dispelling AI myths and emphasizes the pivotal question guiding AI journeys in the enterprise.

From Jargon to Insights: A Guide to Effective Data-Driven Collaboration with Joel Shapiro, Associate Professor of Data Analytics at Northwestern University’s Kellogg School of Management

nandi.ngubentombi@tamr.com (Tamr) — Thu, 30 Nov 2023 10:00:00 -0500

Join Anthony Deighton and Joel Shapiro as they discuss the challenges and opportunities for data teams to become more effective and valuable within their organizations. Joel covers a wide range of topics related to successful collaboration between business and data scientists including, problem spotting and problem scoping, the challenge of working with imperfect data, and the impact of AI on decision-making.

The Future of AI and Data-Driven Technologies: Insights from Randy Bean, founder and CEO of NewVantage Partners

nandi.ngubentombi@tamr.com (Tamr) — Thu, 16 Nov 2023 10:00:00 -0500

Join Anthony Deighton and Randy Bean as they discuss key trends such as data-driven transformation, the challenges organizations encounter in becoming data-driven, generative AI, and the future of AI and data technologies. Randy, an advisor to Fortune 1000 leaders, brings you into the boardroom to share what’s top of mind for CEOs regarding AI and the evolving role and expectations for CDOs. You’ll only hear it here!

Exploring the Modern Data Stack and AI: A Conversation with David Jayatillake, Co-Founder and CEO of Delphi Labs

nandi.ngubentombi@tamr.com (Tamr) — Thu, 02 Nov 2023 12:48:00 -0400

Join Anthony Deighton and David Jayatillake in this engaging podcast as they discuss the modern data stack, the power of AI in data analysis, and the future of data interfaces. Discover how data teams can ensure clean and curated data, and explore the exciting possibilities of accessing and analyzing data in a seamless and efficient manner. Don't miss out on this insightful conversation!

The Future of Data and Analytics Teams: Insights from Misha Advena, Head of Analytics at Miro

nandi.ngubentombi@tamr.com (Tamr) — Thu, 19 Oct 2023 09:00:00 -0400

Join Anthony Deigthon for this insightful episode as we navigate the ever-evolving landscape of data and analytics teams with Misha Advena. Gain a deeper understanding of the strategies and approaches that can shape the future of your organization, ensuring it remains agile and data-driven in an increasingly complex environment.

Unveiling the Secrets of Effective Data Collaboration with Mode’s Benn Stancil, Co-founder & CTO

nandi.ngubentombi@tamr.com (Tamr) — Thu, 05 Oct 2023 10:10:00 -0400

In this episode of the Data Masters podcast Anthony Deighton speaks with Benn Stancil, co-founder and CTO at Mode, who challenges common ideas about data collaboration. Benn emphasizes that effective collaboration isn’t about using Google Docs-like tools but understanding data visualization evolution for smooth collaboration. The conversation also explores how collaboration varies with different types of work, providing valuable insights into the true nature of successful data collaboration. Don’t miss these expert insights!

Bayesian Optimization for Databases: A Conversation with Dana Van Aken, co-founder and CTO at OtterTune

nandi.ngubentombi@tamr.com (Tamr) — Thu, 21 Sep 2023 09:00:00 -0400

In this episode, we welcome Dana Van Aken, co-founder and CTO at OtterTune. Their SaaS solution leverages AI to streamline database tuning, addressing configuration challenges and enhancing the performance of PostgreSQL and MySQL—all while reducing costs. Join us to delve into the challenges faced by database administrators and explore the exciting future of database management with advancements in machine learning and language models.

Ethical, Responsible, and Trustworthy AI

nandi.ngubentombi@tamr.com (Tamr) — Fri, 04 Aug 2023 06:45:00 -0400

In this episode of the Data Masters podcast, Anthony Deighton interviews Dr. Eva-Marie Muller-Stuler, a partner in Data and Analytics at Ernst and Young. They discuss how the advent of advanced language learning models (LLMs) like ChatGPT, Bard, and others, requires new thinking in ethical, responsible, and trustworthy AI.

Harnessing the Power of Data Analytics for Business Innovation: An Interview with Adam Wilson, SVP and GM at Alteryx Analytics Cloud

nandi.ngubentombi@tamr.com (Tamr) — Thu, 20 Jul 2023 06:30:00 -0400

In today's highly competitive business environment, the key lies in discovering new and interesting data, seamlessly onboarding it, and stitching it together to form training sets that generate powerful algorithms. Accelerating this process goes beyond operational savings. It's a game-changer, allowing you to outpace your competition, deliver unparalleled customer experiences and capture greater market share. Join us today as we welcome Adam Wilson, Senior Vice President and General Manager at Alteryx Analytics Cloud and former CEO of Trifacta before its acquisition by Alteryx in 2022. In this interview, Adam shares his expertise and insights on harnessing the potential of data analytics to fuel business innovation

Navigating the Frontier of AI-Language Models

nandi.ngubentombi@tamr.com (Tamr) — Thu, 06 Jul 2023 06:15:00 -0400

This thought-provoking podcast episode delves into the fascinating world of GPT's large language models and neural nets. Join us as we explore the impact of adding a chat interface to GPT and how it has taken off, captivating the public's consciousness. Our guest, an expert in the field, shares insights on the divergent opinions surrounding large language models and neural nets in relation to language. Welcome to another episode of DataMasters. Our guest today is Dean Abbott, founder and president of Abbott Analytics. Since March 1999, Abbott Analytics has led organizations through applying and integrating leading-edge data mining and machine learning methods to marketing, research, and general business endeavors. Abbott Analytics has been dedicated to improving efficiency, ROI, and regulatory compliance through machine learning. Before founding Abbott's Analytics, Dean worked as Wonderkind's chief data scientist and co-founder of Smarter HQ. Our guest will answer critical questions surrounding GPTs, including the following: 1. What are the strengths and limitations of GPT's chat interface? Can it generate content with creativity and style? 2. How does trust play a role in interacting with language models like GPT? Can we blindly rely on their output? 3. What distinguishes GPT from traditional search engines in terms of generating authoritative information? How does the concept of truth come into play? 4. What are the challenges associated with the data input for generative models? How does data quality affect the success of these models? Join us for this captivating conversation as we delve into the world of GPT, large language models, and the complexities of language processing in the age of neural nets. Gain valuable insights and challenge your preconceptions about the future of AI-powered language technology.

Navigating the Evolving Role of the Chief Data Officer

nandi.ngubentombi@tamr.com (Tamr) — Wed, 21 Jun 2023 06:00:00 -0400

Unlocking the true potential of data and transforming it into invaluable insights is the hallmark of a Chief Data Officer. In today's data-driven world, the role of a CDO extends beyond traditional data management. The most successful CDOs recognize the power of data products in overcoming the challenges of messy, incomplete, incorrect, and siloed enterprise data. We spoke with Salema Rice, founder and CEO of CDO Today, a membership-based organization that offers mentorship, advisory, and thought leadership to data and analytics professionals. With experience as a Partner, Global Managing Director, Chief Data and Analytics Officer at Accenture, and Global Chief Data and Analytics Officer at Bain Capital, Salema is well-versed in the common mistakes and pitfalls to avoid when implementing a data product strategy. Tune into this episode of Data Masters for insights and best practices from a seasoned CDO on quickly seizing opportunities to deliver the promise your organization's data holds. www.tamr.com

Osmo is Giving AI the Ability to Smell

nandi.ngubentombi@tamr.com (Tamr) — Thu, 08 Jun 2023 05:45:00 -0400

After spending time in college researching neuroscience, this episode’s guest found that we really don’t know much about smell or how to quantify it despite smell being such an integral part of our lives. That’s why he’s made it his mission to incorporate smell with technology.

Turning Up The Volume On Silent Data Bugs

nandi.ngubentombi@tamr.com (Tamr) — Wed, 24 Nov 2021 12:34:00 -0500

Anthony sits down with Kevin Hu, CEO and co-founder of Metaplane, a new data observability company. The two discuss whether bugs exist in data, what Kevin learned from Y Combinator, and what the kids are studying these days.

How To Help End-Users Truly Be Data-Driven

nandi.ngubentombi@tamr.com (Tamr) — Fri, 29 Oct 2021 02:55:00 -0400

Anthony sits down with Trifacta’s CEO Adam Wilson to talk about changes to the data landscape, why we need to pay more attention to how we people become “data-driven”, and how Tamr and Trifacta work in harmony to deliver transformative data initiatives.

'The Data Knows' — Finding Answers To Drive Digital Health Innovation

nandi.ngubentombi@tamr.com (Tamr) — Wed, 29 Sep 2021 02:53:00 -0400

Anthony sits down with Mike Alvarez, Director of Digital Services at Fuse by Cardinal Health, to talk about data innovation in the healthcare industry. They discuss leveraging data to help patients understand their best paths to care and better stick with treatments. Using data from points of care and external entities to help providers determine the best outcome and cost for value-based care. And, they tackle a popular question, “are dashboards dead?”

Fail Fast, Learn Faster

nandi.ngubentombi@tamr.com (Tamr) — Fri, 03 Sep 2021 02:51:00 -0400

The author, Fail Fast, Learn Faster joins Anthony to talk about his new book, his love of literature, and how it connects to data, and shares some of his favorite stories from his career.

Finding the business value for moving data to the cloud

nandi.ngubentombi@tamr.com (Tamr) — Thu, 17 Jun 2021 02:50:00 -0400

Anthony chats with Evren Eryurek, Director of Product Management at Google Cloud about what’s happening today with cloud migrations, and uniquely how Google is helping make the transition easy and helping to unlock the value of business data in the cloud. The two also discuss the Google and Tamr partnership, and Evren shares his advice for recent grads interested in a career in technology.

Mining data for gold medals

nandi.ngubentombi@tamr.com (Tamr) — Thu, 29 Apr 2021 02:47:00 -0400

Gus Kaeding talks to Anthony about how the U.S. Ski & Snowboard teams are using data to improve team performance and win more medals. Gus explains where the similarities start and end with the famous “Moneyball’ approach to team selection. Why communication with coaches and athletes about data findings is just as important as the results. The challenges of starting a data program from scratch, and what’s next for the team as they approach the 2020 Winter Olympics.

Attacking data science with an 'always learning mindset'

nandi.ngubentombi@tamr.com (Tamr) — Sat, 17 Apr 2021 02:45:00 -0400

Shopify’s Ella Hilal tells us why effective data leaders need to instill an ‘always learning mindset’ and possess a willingness to reject conventional wisdom. Ella also talks about how the data organization continues to evolve at Shopify, the unique challenges of serving entrepreneurs from all over the world, and how data is being used to power growth and expansion at Shopify.

It’s about solving a business problem, not the data

nandi.ngubentombi@tamr.com (Tamr) — Thu, 15 Oct 2020 02:43:00 -0400

Kathleen Maley was most recently Head of Consumer and Digital Analytics at KeyBank where she led a large team of analysts who used data and analytics to shape strategies. Before that, she spent more than a decade at Bank of America in a variety of roles that helped the bank use data in areas such as risk management and pricing. Kathleen shares why she stopped using the term data driven, why aligning around a business problem is key for data and analytics teams, the role language plays in communicating with business colleagues, and what she’s learned as a female analytics leader.

Dataops and the state of digital transformation

nandi.ngubentombi@tamr.com (Tamr) — Wed, 23 Sep 2020 15:13:00 -0400

Andy Palmer is a serial entrepreneur who’s helped found or fund more than 50 companies, including Vertica, a pioneer in the database management industry. He’s currently CEO of Tamr, a data mastering platform that uses machine learning to do the heavy lifting around consolidating, cleansing, and categorizing data. Andy’s also served as CIO of Infinity Pharmaceuticals, a biotech startup, and ran data and software engineering operations at the research group of pharmaceutical company Novartis. Andy’s approach to data mastering involves dataops. This concept has emerged in recent years and shares traits with dev ops. He discusses what dataops is and how it helps companies with their digital transformation projects. He also talks about Tamr’s upcoming DataMasters Summit and how the event will provide people with practical advice on where to start their dataops journeys.” To find more information about DataMasters Summit 2020, including the complete list of speakers, and to register to attend, please visit: http://tamr.com/summit2020.

Data and the City

nandi.ngubentombi@tamr.com (Tamr) — Wed, 09 Sep 2020 15:11:00 -0400

Stefanie Costa Leabo, Chief Data Officer for the City of Boston, talks about her non-linear career path (she considered becoming a political science professor at one point), the tangible connection between her work and what happens outside of city hall, and how sharing data helps Boston’s residents better understand what’s going on in their city.

The role empathy plays in data visualization

nandi.ngubentombi@tamr.com (Tamr) — Wed, 26 Aug 2020 15:00:00 -0400

A key part of data is communicating it to others, and that’s where data visualization comes in. Nick Stepro, senior vice president of product management at Arcadia Healthcare, has made data visualization his career. He talks about how he got into data visualization, why you need empathy in design and how he manages to communicate the value of data without taking away from its meaning.

Overcoming COVID-19 data collection challenges

nandi.ngubentombi@tamr.com (Tamr) — Wed, 12 Aug 2020 14:55:00 -0400

Data is critical to combating COVID-19. But challenges around COVID-19 data collection and sharing prevent this information from being fully utilized by federal and state governments. That’s the perspective of Paul Balas, who was previously the Chief Advisor Advanced Analytics at mining company Newmont. Paul shares how his analytics background gives him a unique perspective on the topic of COVID-19 data collection, what’s required to better align government stakeholders and how the private sector resolved similar data collection issues.

How Data Keeps El Al Israel Airlines Airborne

nandi.ngubentombi@tamr.com (Tamr) — Thu, 30 Jul 2020 14:53:00 -0400

Ido Biger, CDO at El Al Israel Airlines, shares how embedding himself in different El Al departments made him a better leader, what practices he brought to the airline from his previous jobs and what he teaches the next generation of data leaders as an adjunct lecturer.

An Introduction to Dataops

nandi.ngubentombi@tamr.com (Tamr) — Wed, 15 Jul 2020 14:52:00 -0400

Data ops has emerged as a way for organizations to better manage their data pipelines. You’ll hear more about this concept from Chris Bergh, head chef, founder and CEO of DataKitchen, a software company that aims to help data professionals regain control of their data pipelines. He’ll talk about how his experiences in the software industry lead him down the data ops path, define what data ops is and why companies should give data ops a try.

Getting Data Mastering at Scale Right

nandi.ngubentombi@tamr.com (Tamr) — Wed, 01 Jul 2020 14:49:00 -0400

What’s required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr. Mike talks about common data mastering mistakes, why traditional tools aren’t right for the task, and shares examples of companies that have successful mastered data at scale.

The Entrepreneurial Approach to Data Management

nandi.ngubentombi@tamr.com (Tamr) — Wed, 17 Jun 2020 14:46:00 -0400

As vice president of data management and operations at Thomson Reuters, Marc Alvarez applies an entrepreneurial approach to data management. During his career, he’s found that treating data less like an IT project and more like a business asset requires fundamental changes around data management. In this episode, Marc talks about what’s driving change around how companies use data, the role technologies like cloud computing and automation play in this shift and how organizations can get better business results from their data.

The State of the CDO

nandi.ngubentombi@tamr.com (Tamr) — Wed, 03 Jun 2020 14:41:00 -0400

Success as a CDO increasingly means knowing how to use data to drive revenue. But at many organizations, data leaders are still figuring out how to work with their business counterparts. That's one takeaway from a survey of 300 C-suite executives on the topic of data and digital transformation. Conducted by NewVantage Partners since 2012, the survey includes the perspectives of leading Fortune 1000 companies including American Express, Capital One, Ford Motors, General Motors, Johnson & Johnson, Mastercard, and Met Life. In this episode, Randy Bean, founder and CEO of NewVantage Partners, talks about the survey's results and looks at the overall state of the CDO. He discusses what makes a successful CDO, where the CDO should sit in an organization and why data initiatives need to be tied to business goals."

The Evolution of the CDO

nandi.ngubentombi@tamr.com (Tamr) — Wed, 20 May 2020 14:39:00 -0400

Once responsible for data governance, companies increasingly want CDOs who use data to drive the business. Someone who not only saw that evolution but experienced it is Mark Ramsey, who held the title of CDO when the role was very new. Mark served as a data leader twice in his 30-year career. First as CDO at Samsung Mobile and then as Chief Data and Analytics Officer at GlaxoSmithKline. In this episode, Mark shares his thoughts on how the role has changed, what it’s like to be a company’s first CDO and if a company’s reporting structure is a factor in a CDO’s success. And he’ll talk about how data is used in sports car racing, a sport he’s passionate about.

Lights, Camera, Data

nandi.ngubentombi@tamr.com (Tamr) — Mon, 11 May 2020 09:00:00 -0400

When you think about Hollywood, you probably think about movies, actors and scripts. But behind the scenes, tremendous amounts of data power a complex supply chain that shapes the movie trailers you watch and the release date of the next blockbuster. In this episode of Datamasters, Eric Iverson, who was the CIO of Sony Pictures Television and CIO and CTO at top talent agency Creative Artists Agency, or CAA, shares how data powers the media and entertainment industry. He talks about how data is leveraged in television and movie production, the role data plays in television show distribution, and the data transformation that the entertainment industry went through in recent years.

With Liberty and Data for All

nandi.ngubentombi@tamr.com (Tamr) — Mon, 11 May 2020 08:45:00 -0400

As deputy CTO in the Obama administration, Nick oversaw the Open Data Initiative, which lead to government data being publicly released for use by the private sector. In this episode of DataMasters, Nick talks about the connection between government data and your favorite mobile apps, the technical challenges agencies faced as they catalogued and listed data sets, and how he created a data culture.