Podcasts about chief data

Gugs Mhlungu is joined by Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about the introduction of AI in schools, exploring its potential benefits, the role it can play in education, and the value it brings to the classroom of the future. 702 Weekend Breakfast with Gugs Mhlungu is broadcast on 702, a Johannesburg based talk radio station, on Saturdays and Sundays Gugs Mhlungu gets you ready for the weekend each Saturday and Sunday morning on 702. She is your weekend wake-up companion, with all you need to know for your weekend. The topics Gugs covers range from lifestyle, family, health, and fitness to books, motoring, cooking, culture, and what is happening on the weekend in 702land. Thank you for listening to a podcast from 702 Weekend Breakfast with Gugs Mhlungu. Listen live on Primedia+ on Saturdays and Sundays from 06:00 and 10:00 (SA Time) to Weekend Breakfast with Gugs Mhlungu broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/u3Sf7Zy or find all the catch-up podcasts here https://buff.ly/BIXS7AL Subscribe to the 702 daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702See omnystudio.com/listener for privacy information.

Tapping into advanced analytics and automation, the pediatric hospital focuses on outcome-first AI design When Alda Mizaku assumed the role of Chief Data and AI Officer at Children's National Hospital, the position did not yet exist. With a background in biomedical engineering and predictive modeling, she brought both technical and clinical perspectives to what would […] Source: Children's National's Chief Data & AI Officer Says Foundational Data Governance Work Key to Deriving Meaningful Insights   on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

Mark McChlery – Co-founder and Chief Data and Analytics Officer, PayJustNow SAfm Market Update - Podcasts and live stream

In Episode 32, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Arun Nandi, Chief Data and AI Officer at Carrier, where they discuss the transformative role of AI in business and its potential impact on climate change. They explore the importance of a value-first mindset in AI initiatives, the need for cultural alignment and stakeholder engagement, and the significance of reskilling the workforce in the AI era. Arun shares insights on building an AI accelerator programme and the challenges of measuring value in AI projects, emphasising the need for discipline and consistency in tracking outcomes.Takeaways:AI is a powerful enabler for business transformation.The importance of a value-first mindset in AI initiatives.AI's impact on climate change and sustainability is significant.Building an AI accelerator can drive innovation and speed.Cultural alignment is crucial for successful AI adoption.Measuring value in AI requires discipline and consistency.Stakeholder engagement is key to successful AI projects.Reskilling the workforce is essential in the AI era.AI should be viewed as a horizontal capability across organizations.The future of work will involve collaboration between humans and AI.Chapters:00:00 Introduction to AI and Data Leadership03:03 Carrier's Evolution and Purpose05:50 The Current AI Landscape and Its Future12:13 Navigating the AI Hype Cycle17:59 Keys to Success for AI Leaders27:31 The Shift to AI-First Mindset29:06 Prioritizing Value in AI Use Cases34:42 Fostering a Value-First Mindset39:43 Problem-Solving with AI as an Enabler46:16 Accelerating AI Implementation50:26 Cultural Alignment and Co-Ownership in AI53:25 AI's Role in Climate Change and...

  How can health systems move from AI experimentation to AI execution at scale, without losing sight of what matters most: patients and providers? In this two-part episode of Bright Spots in Healthcare, Kiran Mysore, Chief Data and Analytics Officer at Sutter Health, joins host Eric Glazer to explore how Sutter is turning the promise of AI into measurable impact.  In Part 1, Kiran Mysore, Chief Data & Analytics Officer at Sutter Health, shares how his team is building clinical AI solutions that actually work—because they're built with empathy, trust, and a clear focus on impact. He walks us through: The strategic approach Sutter takes to choosing AI use cases How the team launched an ambient documentation program that reduced charting time by up to 30% The keys to earning clinician trust and enabling adoption Why ROI isn't always about dollars—but about doing the right thing for providers and patients Whether you're just starting your AI journey or looking to scale, this episode offers lessons on building a human-centered AI strategy that providers will actually embrace. About Bright Spots Ventures Bright Spots Ventures is a healthcare strategy and engagement company that creates content, communities, and connections to accelerate innovation. We help healthcare leaders discover what's working, and how to scale it. By bringing together health plan, hospital, and solution leaders, we facilitate the exchange of ideas that lead to measurable impact. Through our podcast, executive councils, private events, and go-to-market strategy work, we surface and amplify the “bright spots” in healthcare, proven innovations others can learn from and replicate. At our core, we exist to create trusted relationships that make real progress possible. Visit our website at www.brightspotsinhealthcare.com.

We kick off our Summer Playlist 2025 this week with Michelle Finneran Dennedy, Chief Data Strategy Officer at Abaxx Technologies. David Greely sits down with Michelle to discuss why CEOs and organizational leaders are shifting how they view data from seeing it as a risky liability to potentially seeing it as their greatest asset – and what that means for the ways we measure and manage our businesses.

Gugs Mhlungu is joined by Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, looking at the impact of over-reliance on AI tools as they are not always accurate or factual, and suggesting ways to use them cautiously. 702 Weekend Breakfast with Gugs Mhlungu is broadcast on 702, a Johannesburg based talk radio station, on Saturdays and Sundays Gugs Mhlungu gets you ready for the weekend each Saturday and Sunday morning on 702. She is your weekend wake-up companion, with all you need to know for your weekend. The topics Gugs covers range from lifestyle, family, health, and fitness to books, motoring, cooking, culture, and what is happening on the weekend in 702land. Thank you for listening to a podcast from 702 Weekend Breakfast with Gugs Mhlungu. Listen live on Primedia+ on Saturdays and Sundays from 06:00 and 10:00 (SA Time) to Weekend Breakfast with Gugs Mhlungu broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/u3Sf7Zy or find all the catch-up podcasts here https://buff.ly/BIXS7AL Subscribe to the 702 daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702See omnystudio.com/listener for privacy information.

Step inside the world of data innovation as Don Vu, SVP and Chief Data and Analytics Officer at New York Life, reveals how a 180-year-old institution is embracing cutting-edge AI. Don, shares insights from his unique background, spanning Major League Baseball and retail startups, now applied to transforming the insurance industry. Hear how New York Life leverages AI to make experiences proactive and intelligent, addressing challenges like the "last mile problem" in data operationalization. Key Moments: MLB Data Insights (07:28): The conversation delves into how every baseball stadium is extensively instrumented with high-speed camera and radar technology, meticulously tracking every object on the field. This massive trove of data is then shared across all baseball clubs for in-depth analysis and the optimization of strategies.The Last Mile Problem (09:38): A critical challenge in data and AI is identified as the "last mile problem," emphasizing that the primary hurdles often lie in the operationalization, change management, adoption, and acceptance of solutions, extending far beyond the mere building of models.Data & AI in Business Strategy (13:08): The discussion highlights that data serves as the fundamental underpinning for seamless operations, while AI actively transforms experiences, making them proactive and intelligent. This deep integration of AI and data is central to New York Life's core business strategy.Data Readiness & Quality (20:08): Persistent data readiness issues are addressed, underscoring that data quality, latency, governance, and stewardship—with business owners held accountable—are absolutely crucial for both structured and unstructured data environments.AI Interoperability & Agent-Driven Future (22:43): The episode explores the importance of tracking emerging AI protocols such as MCP (Model Context Protocol) and agent-to-agent protocols. A compelling vision of the future is also shared, where AI agents act on behalf of consumers. Realizing this vision depends on interoperability across AI systems, enabling smooth, intelligent collaboration between diverse platforms.GuideMe Application & AI (32:46): New York Life's innovative "GuideMe" tool, utilized by agents during client meetings, is described as possessing incredible potential for pervasive AI integration. This integration is set to significantly supercharge both the agent and client experience, streamlining financial planning.Key Quotes:“There is this phrase that data practitioners often cite. It's like this notion of garbage in, garbage out. And data quality matters. The latency of your data is significantly important. The notion of data governance and data stewardship, with a business owner being accountable for the quality of data, is really important." - Don Vu“We think human-led protection-first holistic advice and guidance is really the key here, and we have amazing advisors, we have amazing agents throughout the country, and what we're really focused on is really enhancing them and trying to make their lives easier by having AI at their side.” - Don Vu“Data is the underpinning foundation upon which that runs seamlessly and consistently. AI is the way by which it becomes proactive and intelligent across the entire set of experiences.” - Don VuMentionsHow New York Life's “Guide Me” is Leading the Way in Digital TransformationRockaway Beach: New York's Best Kept SecretLeading Change: By John P. KotterDiner: South Williamsburg, Brooklyn RestaurantGuest Bio Don Vu is the Senior Vice President and Chief Data and Analytics Officer at New York Life. In this role, Don leads the company's artificial intelligence (AI) and data team, overseeing AI, data, and insights initiatives and ensuring data architecture supports New York Life's business objectives. Prior to joining New York Life, Don served as chief data officer at Northwestern Mutual, where he spearheaded organizational transformation and enterprise data and AI strategy. His impressive career also includes leadership positions at WeWork as vice president of data and analytics and 13 years at Major League Baseball (MLB) as vice president of data and analytics. Don holds a B.S. in Information Systems and Commerce from the University of Virginia and actively contributes to the field as an advisory board member for McIntire's Business Analytics program. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Denis Coutrot, Directeur des données et de l'IA de Getlink, nous explique comment la fonction data est organisée mais aussi quelle est sa mission et quelles sont les compétences de ses équipes. Il nous livre les principaux enjeux auxquels il s'attaque aujourd'hui avec une feuille de route data/IA. Denis Coutrot nous parle de l'IA générative en précisant que ce n'est pas son seul cheval de bataille. Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In Episode 30, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Vin Vashishta, CEO & Founder of V Squared and author of best-selling book 'From Data to Profit' where they discuss the evolution of AI and data strategy in businesses. Vin shares insights from his book 'Data to Profit', discussing the importance of data in achieving ROI from AI initiatives, emphasising the need for businesses to transform their strategies and workflows to integrate AI effectively. The conversation also touches on the changing roles of CEOs, the challenges faced by Chief Data and AI Officers, and the impact of AI on job roles and skills in the workforce. Chapters:00:00 Introduction and Background of V Squared AI02:42 The Journey of Writing 'Data to Profit'05:54 Key Factors for AI Success in Businesses08:38 Transformational Strategies for Competitive Advantage11:14 The Importance of Incremental Change14:28 Navigating the AI Landscape: Use Cases and Business Strategy17:22 The Role of C-Level Executives in AI Transformation20:13 Cultural and Strategic Challenges in AI Implementation22:58 The Shift Towards Information Architecture in AI25:56 The Future of AI: Agents and Information Management29:13 The Evolution of Information Architecture30:36 AI's Impact on Data Roles35:20 Shifting Responsibilities in Data Teams36:58 The Value of Customer-Facing Products41:02 The Future of Data Roles and Job Market45:06 The Need for Continuous Reskilling52:46 Navigating Rapid Changes in the Job...

Welcome to The Prompt, a short-format minisode of How I Met Your Data, where hosts Junaid, Karen, and Anjali delve into the evolving landscape of data and AI. In this lively discussion, they explore the pivotal question of whether the Chief Data Officer (CDO) or Chief Data & AI Officer (CDAO) should report directly to a CEO, a CIO, or another C-level executive. Each host shares sharp insights based on their professional experience, addressing the challenges facing CDOs, such as their typically short tenures and the essential components required for their success. Throughout the episode, the trio touches on the significance of building a data-driven culture, assessing whether data should be seen as a cost center or a valuable asset, and the complexities of integrating data literacy within corporate strategy. They also tackle the important consideration of hiring CDOs from within the organization versus bringing in external change agents, weighing the benefits and drawbacks of each approach. Join them in this engaging conversation that challenges conventional wisdom and highlights the critical role data plays in defining today's business landscape.

What's up everyone, today we have the pleasure of sitting down with Joshua Kanter, Co-Founder & Chief Data & Analytics Officer at ConvertML. Summary: Joshua spent the earliest parts of his career buried in SQL, only to watch companies hand out dashboards and call it strategy. Teams skim charts to confirm hunches while ignoring what the data actually says. He believes access means nothing without translation. You need people who can turn vague business prompts into clear, interpretable answers. He built ConvertML to guide those decisions. GenAI only raises the stakes. Without structure and fluency, it becomes easier to sound confident and still be completely wrong. That risk scales fast.About JoshuaJoshua started in data analytics at First Manhattan Consulting, then co-founded two ventures; Mindswift, focused on marketing experimentation, and Novantas, a consulting firm for financial services. From there, he rose to Associate Principal at McKinsey, where he helped companies make real decisions with messy data and imperfect information. Then he crossed into operating roles, leading marketing at Caesars Entertainment as SVP of Marketing, where budgets were wild.After Caesars, he became a 3-time CMO (basically 4-time); at PetSmart, International Cruise & Excursions, and Encora. Each time walking into a different industry with new problems. He now co-leads ConvertML, where he's focused on making machine learning and measurement actually usable for the people in the trenches.Data Democratization Is Breaking More Than It's FixingData democratization has become one of those phrases people repeat without thinking. It shows up in mission statements and vendor decks, pitched like some moral imperative. Give everyone access to data, the story goes, and decision-making will become magically enlightened. But Joshua has seen what actually happens when this ideal collides with reality: chaos, confusion, and a lot of people confidently misreading the same spreadsheet in five different ways.Joshua isn't your typical out of the weeds CMO, he's lived in the guts of enterprise data for 25 years. His first job out of college was grinding SQL for 16 hours a day. He's been inside consulting rooms, behind marketing dashboards, and at the head of data science teams. Over and over, he's seen the same pattern: leaders throwing raw dashboards at people who have no training in how to interpret them, then wondering why decisions keep going sideways.There are several unspoken assumptions built into the data democratization pitch. People assume the data is clean. That it's structured in a meaningful way. That it answers the right questions. Most importantly, they assume people can actually read it. Not just glance at a chart and nod along, but dig into the nuance, understand the context, question what's missing, and resist the temptation to cherry-pick for whatever narrative they already had in mind.“People bring their own hypotheses and they're just looking for the data to confirm what they already believe.”Joshua has watched this play out inside Fortune 500 boardrooms and small startup teams alike. People interpret the same report with totally different takeaways. Sometimes they miss what's obvious. Other times they read too far into something that doesn't mean anything. They rarely stop to ask what data is not present or whether it even makes sense to draw a conclusion at all.Giving everyone access to data is great and all… but only works when people have the skills to use it responsibly. That means more than teaching Excel shortcut keys. It requires real investment in data literacy, mentorship from technical leads, and repeated, structured practice. Otherwise, what you end up with is a very expensive system that quietly fuels bias and bad decisions and just work for the sake of work.Key takeaway: Widespread access to dashboards does not make your company data-informed. People need to know how to interpret what they see, challenge their assumptions, and recognize when data is incomplete or misleading. Before scaling access, invest in skills. Make data literacy a requirement. That way you can prevent costly misreads and costly data-driven decision-making.How Confirmation Bias Corrupts Marketing Decisions at ScaleExecutives love to say they are “data-driven.” What they usually mean is “data-selective.” Joshua has seen the same story on repeat. Someone asks for a report. They already have an answer in mind. They skim the results, cherry-pick what supports their view, and ignore everything else. It is not just sloppy thinking. It's organizational malpractice that scales fast when left unchecked.To prevent that, someone needs to sit between business questions and raw data. Joshua calls for trained data translators; people who know how to turn vague executive prompts into structured queries. These translators understand the data architecture, the metrics that matter, and the business logic beneath the request. They return with a real answer, not just a number in bold font, but a sentence that says: “Here's what we found. Here's what the data does not cover. Here's the confidence range. Here's the nuance.”“You want someone who can say, ‘The data supports this conclusion, but only under these conditions.' That's what makes the difference.”Joshua has dealt with both extremes. There are instinct-heavy leaders who just want validation. There are also data purists who cannot move until the spreadsheet glows with statistical significance. At a $7 billion retailer, he once saw a merchandising exec demand 9,000 survey responses; just so he could slice and dice every subgroup imaginable later. That was not rigor. It was decision paralysis wearing a lab coat.The answer is to build maturity around data use. That means investing in operators who can navigate ambiguity, reason through incomplete information, and explain caveats clearly. Data has power, but only when paired with skill. You need fluency, not dashboards. You need interpretation and above all, you need to train teams to ask better questions before they start fishing for answers.Key takeaway: Every marketing org needs a data translation layer; real humans who understand the business problem, the structure of the data, and how to bridge the two with integrity. That way you can protect against confirmation bias, bring discipline to decision-making, and stop wasting time on reports that just echo someone's hunch. Build that capability into your operations. It is the only way to scale sound judgment.You're Thinking About Statistical Significance Completely WrongToo many marketers treat statistical significance like a ritual. Hit the 95 percent confidence threshold and it's seen as divine truth. Miss it, and the whole test gets tossed in the trash. Joshua has zero patience for that kind of checkbox math. It turns experimentation into a binary trap, where nuance gets crushed under false certainty and anything under 0.05 is labeled a failure. That mindset is lazy, expensive, and wildly limiting.95% statistical significance does not mean your result matters. It just means your result is probably not random, assuming your test is designed well and your assumptions hold up. Even then, you can be wrong 1 out of every 20 times, which no one seems to talk about in those Monday growth meetings. Joshua's real concern is how this thinking cuts off all the good stuff that lives in the grey zone; tests that come in at 90 percent confidence, show a consistent directional lift, and still get ignored because someone only trusts green checkmarks.“People believe that if it doesn't hit statistical significance, the result isn't meaningful. That's false. And danger...

Gugs Mhlungu is joined by Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, looking at how Google’s AI summaries are reshaping how we search, its impact on newsrooms and the future of newsrooms, journalism revenue, and how we consume information in the age of AI. 702 Weekend Breakfast with Gugs Mhlungu is broadcast on 702, a Johannesburg based talk radio station, on Saturdays and Sundays Gugs Mhlungu gets you ready for the weekend each Saturday and Sunday morning on 702. She is your weekend wake-up companion, with all you need to know for your weekend. The topics Gugs covers range from lifestyle, family, health, and fitness to books, motoring, cooking, culture, and what is happening on the weekend in 702land. Thank you for listening to a podcast from 702 Weekend Breakfast with Gugs Mhlungu. Listen live on Primedia+ on Saturdays and Sundays from 06:00 and 10:00 (SA Time) to Weekend Breakfast with Gugs Mhlungu broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/u3Sf7Zy or find all the catch-up podcasts here https://buff.ly/BIXS7AL Subscribe to the 702 daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

Agility at enterprise scale means building systems that not only make millions of micro-decisions, but also keep humans at the center — creating experiences that are timely, relevant, and respectful of the customer.What if your data knew your customers better than your frontline employees — and used that insight to serve, not sell? Today we are here at PegaWorld 2025 at the MGM Grand in Las Vegas, and we're going to talk about how National Australia Bank has built what they call a "Customer Brain" — a centralized, intelligent decisioning layer that unifies engagement across service, sales, and relationship-building at scale.To help me explore this, I'd like to welcome Christian Nelissen, Chief Data and Analytics Officer at NAB. RESOURCES National Australia Bank: https://www.nab.com/au https://www.nab.com/au The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsOnline Scrum Master Summit is happening June 17-19. This 3-day virtual event is open for registration. Visit www.osms25.com and get a 25% discount off Premium All-Access Passes with the code osms25agilebrandDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Agility at enterprise scale means building systems that not only make millions of micro-decisions, but also keep humans at the center — creating experiences that are timely, relevant, and respectful of the customer.What if your data knew your customers better than your frontline employees — and used that insight to serve, not sell? Today we are here at PegaWorld 2025 at the MGM Grand in Las Vegas, and we're going to talk about how National Australia Bank has built what they call a "Customer Brain" — a centralized, intelligent decisioning layer that unifies engagement across service, sales, and relationship-building at scale.To help me explore this, I'd like to welcome Christian Nelissen, Chief Data and Analytics Officer at NAB. RESOURCES National Australia Bank: https://www.nab.com/au https://www.nab.com/au The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsOnline Scrum Master Summit is happening June 17-19. This 3-day virtual event is open for registration. Visit www.osms25.com and get a 25% discount off Premium All-Access Passes with the code osms25agilebrandDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

In this powerful episode of Let's Talk Data, host Emma Crabtree is joined by Kay Khan, Chief Data & Analytics Officer and founder of KeyAnalytics, a female-led healthcare data consultancy on a mission to transform the NHS and wider healthcare systems through inclusive analytics, data empathy, and impact-led innovation.With a career that spans telecoms, automotive, and now healthcare, Kay shares how her personal journey as a woman, mother, and leader deeply shaped her vision for what healthcare data can do. From systemic issues in clinical data sharing to the pressing need for diverse talent pipelines, this conversation tackles the real-world impact of data on human lives.In this episode, you'll learn:Why empathy and diversity are essential to effective healthcare analytics.The hidden barriers in data literacy across clinicians, patients, and systems.How KeyAnalytics is bridging the NHS analytics skills gap with real-world bootcamps and mentoring.What inclusive hiring truly looks like - beyond the DEI tick-box.How menopause, motherhood, and return-to-work journeys must be considered in female health data policy and workplace design.Why open data is a goldmine of untapped insight — and how Key Analytics is making it accessible.Kay also shares the core pillars of her business: training, consulting, and open data platforms, and how each feeds into a purpose-driven strategy for healthcare improvement.Connect with Kay via https://www.linkedin.com/in/kaybkhan/KEY MOMENTS: 0:00 Introduction to Kay Khan and Her Healthcare Data Analytics Journey0:34 The Fundamental Changes Needed in Healthcare Data Sharing1:06 Empathy in Healthcare: Beyond Quick Diagnoses2:16 Kay's Professional Transition to Healthcare Analytics3:53 Data Rich vs Information Poor: Healthcare Challenges4:42 NHS Technology and Data Infrastructure Evolution7:33 Patient Experience and Data Sharing Gaps10:16 Data Literacy for Clinicians and Healthcare Professionals12:42 Kay's Decision to Start Key Analytics14:57 Key Analytics' Three Core Pillars: Training, Consultancy, Open Data21:32 Diversity and Inclusion in Data and Tech27:14 Supporting Women Returning to Workplace36:57 Menopause in the Workplace: Research and Support46:26 Proactive Healthcare and Preventative CareWelcome to “Let's Talk Data”, a deep dive into the transformative realm of data with the trailblazers of this disruptive industry.Your host Emma Crabtree explores the latest trends and developments in the data sector, while also delving into the personal stories of these data pioneers.They reveal how they harness data, not just in business, but in shaping their everyday lives, from optimising daily routines to making data-informed decisions. You'll hear about their motivations, role models, and how they plan to use their position to innovate, inspire and influence change.Many companies today are still missing the golden opportunity to unlock true potential with their data. Our conversations will shed light on this untapped potential as well as the pivotal role that data professionals play in driving progress.“Let's Talk Data” is your go-to source for inspiration and knowledge, providing a front-row seat to the future of data-driven insights and innovations.

Gugs Mhlungu speaks to Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, is a trailblazer in artificial intelligence (AI) and data science & Author of ‘African Artificial Intelligence about AI based companies now rehiring human beings again as a result of poor quality in AI chatbots. 702 Weekend Breakfast with Gugs Mhlungu is broadcast on 702, a Johannesburg based talk radio station, on Saturdays and Sundays Gugs Mhlungu gets you ready for the weekend each Saturday and Sunday morning on 702. She is your weekend wake-up companion, with all you need to know for your weekend. The topics Gugs covers range from lifestyle, family, health, and fitness to books, motoring, cooking, culture, and what is happening on the weekend in 702land. Thank you for listening to a podcast from 702 Weekend Breakfast with Gugs Mhlungu. Listen live on Primedia+ on Saturdays and Sundays from 06:00 and 10:00 (SA Time) to Weekend Breakfast with Gugs Mhlungu broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/u3Sf7Zy or find all the catch-up podcasts here https://buff.ly/BIXS7AL Subscribe to the 702 daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

In this episode of Technovation, host Peter High speaks with Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet, a global leader in business decision-making data and analytics. Gary shares how he oversees the company's end-to-end data strategy, from acquisition and normalization to advanced analytics and GenAI integration, serving a customer base that spans Fortune 500 giants to small businesses. Learn how Gary's team fuels innovation through alternative data, builds trusted AI tools like ChatD&B, and partners directly with C-level clients to deliver decision-ready intelligence.

In this episode, Divya Pathak, Chief Data and AI Officer at NYC Health + Hospitals, discusses how the nation's largest public health system is leveraging AI to enhance patient access, streamline operations, and ensure ethical, equitable care—while laying a strong foundation of governance and multidisciplinary collaboration.

In this episode, Divya Pathak, Chief Data and AI Officer at NYC Health + Hospitals, discusses how the nation's largest public health system is leveraging AI to enhance patient access, streamline operations, and ensure ethical, equitable care—while laying a strong foundation of governance and multidisciplinary collaboration.

Investment in data is the hallmark of successful Gen AI implementations, according to Citizens' Chief Data and Analytics Officer, Krish Swamy. Giving us a system wide view of how Citizens is leveraging Gen AI, Swamy joins the podcast to talk about harnessing the power of data to drive decision-making, enhance customer experiences, and navigate the complexities of digital transformation in the banking sector. Our conversation delves into the challenges and opportunities of building a data-driven culture within a traditional banking environment, and how Citizens is positioning itself at the forefront of financial innovation through strategic analytics initiatives. Swamy, who also heads the firm's Generative AI Council, shares his vision for the future of data in banking and the tangible ways Citizens is turning data insights into meaningful actions that benefit both the institution and its customers.

The first of two episodes from Money20/20 Asia, recorded in partnership with audax, a comprehensive plug and play banking solution powering banks to launch scalable and compliant digital business models at speed. Graham Barrett was joined by a number of the speakers on audax's booth. Our guests for this episode were: 1/ Kelvin Tan, CEO, audax 2/ Rottapron Ekabutr, EVP, Head of Consumer Digital Solution, Krungsri Bank 3/ Lito Villanueva, Chief Innovations & Inclusion Officer and Executive Vice President, RCBC 4/ Shailesh Baidwan, Maya Group President and Maya Bank Co-Founder, Maya 5/ Dr Yew Choong Chew, Chief Data and AI Officer, Ambank Group

On this episode of The Marketing Rapport, Tim Finnigan talks with Andy Davidson, Chief Data & Analytics Officer at Bright Mountain Media, about the importance of market research. Andy explains how Bright Mountain helps brands personalize outreach and services using data-driven insights. He reveals the disconnect between research and activation, where audience specifics get lost during campaign execution. Andy highlights the need to understand diverse market needs. Effective research identifies distinct customer groups and their unique requirements. This data allows personalized messaging and targeted campaigns, avoiding the wasteful "spray and pray" method. He shares client examples, like a Caribbean travel destination, where targeted audience strategies led to success. The views, thoughts, and opinions expressed are those of the speaker and do not necessarily represent the views, thoughts, and opinions of Verisk Marketing Solutions or Verisk Analytics. The material and information presented here is for general information purposes only. This podcast is not intended to replace legal or other professional advice. The Lead Intelligence, Inc. (dba Verisk Marketing Solutions) and Verisk Analytics LLC names and all forms and abbreviations are the property of its owner and its use does not imply endorsement of or opposition to any specific organization, product, or service. VERISK MARKETING SOLUTIONS DISCLAIMS ALL LIABILITY ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.

The Coast Guard is pursuing artificial intelligence via data analytics to enhance its diverse missions, Deputy CIO and Chief Data and AI Officer Brian Campo told GovCIO Media & Research during Sea-Air-Space in National Harbor, Maryland. Campo said that the Coast Guard is learning lessons from other military branches and DHS components to adopt a "fast follower" approach to AI. Campo emphasized the synergy between his dual roles, allowing for a streamlined approach to implementing data-driven AI solutions. Despite budgetary constraints, the Coast Guard is using AI and automation to improve efficiencies. He also said that the service is focusing on using AI to simplify and make marine regulations more accessible to mariners and other in the maritime domain.

In Episode 20, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Dan Robertson, Chief Data & Analytics Officer at Bupa, where they discuss the relationship between organisational culture, operating models, change and transformation and delivering value, which includes;How doing a business degree fuelled an interest in using data to support decision-making.Why starting his career as a programmer made him realise that he wanted a different path.Being the inaugural CDO for multiple, large, complex organisations. Why your operating model holds more weight than any solution in changing an organisation.Why tuning in to organisational culture is the key to success for a transformational CDO.Getting an understand of company culture in the interview process.Why the amount of change required to embed that operating model defines the rockiness of the data strategy journey. Anchoring the implementation of change to the vision and purpose of the organisation.The importance of understanding ‘how things get done'.Why alignment on company purpose and vision impacts the ability to affect change. Tying incentives and objectives to that vision and purpose.Why your boss needs to ‘get it' or be prepared to get it, so you don't come unstuck when things get tough. Why the middle of the organisation will likely be the biggest cultural roadblock.Why federation is usually better for large organisations.The impact that maturity has on deciding on a centralised or federated model. Offering a service model to balance the pros and cons of operating models. Why the vision, purpose and north-star of the organisation is so important.The role of architecture of breaking down silos to unlock value. The common symptoms of what blockers to value creation are. The importance of Data Literacy both internally in D&A teams and in business teams. Why your team need to be able to explain the investment case to the exec that aligns to your purpose. The link between expectations and the average tenure of the CDO.The 3 key inflection points as a transformational CDO.Why you need to be careful about choosing which value-based use case you start with. Presenting different data strategy options to the exec. Deciding whether you're aiming to be more data-driven or want competitive advantage. Understanding the size of the possible prizes. Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you

Fan Mail: Got a challenge digitizing your intake? Share it with us, and we'll unpack solutions from our experience at Cytora.In this episode of Making Risk Flow, host Juan de Castro sits down with Cassandra Vukorep, Chief Data and AI Officer at Lloyd's of London, to explore the impact of data and AI on commercial insurance. They discuss Lloyd's role as an ecosystem platform for over 100 syndicates, the importance of data standardisation, and efforts to streamline operations through the Core Data Record (CDR). With only 8% of insurers adopting AI across multiple functions, Cassandra highlights key challenges, including legacy systems and process redesign. They also examine how AI will become a competitive differentiator in the coming years. This conversation offers valuable insights into Lloyd's digital transformation and how insurers can navigate the complexities of AI adoption to drive efficiency and innovation in the evolving insurance landscape.To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'.Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.Check out the three most downloaded episodes: The Five Pillars of Data Analytics Strategy in Insurance | Craig Knightly, Inigo 20 Years as CEO of Hiscox: Personal Reflections and the Evolution of PPL | Bronek Masojada Implementing ESG in the Insurance and Underwriting Space | Simon Tighe, Chaucer, and Paul McCarney, Moody's

In this episode of the Wise Decision Maker Show, Dr. Gleb Tsipursky speaks to Alex Alonso, Chief Data & Analytics Officer at SHRM, about why we're in the third wave of Gen AI adoption.You can learn about SHRM at https://www.shrm.org

Dr. Chanuki Illushka Seresinhe is a leading figure in the data science community. She currently holds the position of Chief Data and Technology Officer at Boon, an organisation that integrates AI, psychology, and human expertise to address and solve meaningful societal challenges. Additionally, she is the co-founder of Beautifulplaces.ai, an initiative dedicated to generating informative data on the aesthetics of outdoor spaces. In her prior commercial role at Zoopla and Hometrack, Dr. Seresinhe leveraged machine learning and AI technologies to enhance user experiences and property valuations in the UK property market. Chanuki's commercial experience was first established during her tenure as a commercial data scientist at Channel 4, which laid the groundwork for her subsequent role as the Director of Data Science at Culture Trip. This podcast was recorded in June 2023.

In Episode 17, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Steve Green, Chief Data & Analytics Officer at Sumitomo Mitsui Banking Corporation (SMBC) where they discuss the self-inflicted barriers to CDO success, which includes:Transitioning from being a true technologist into a change agent. Setting up a chief data office from scratch. The 6 pillars of the data office. Why he built an advisory team and how it delivers value daily. The benefit of having a holistic view of the D&A industry from his time at the FCA. The struggle to meet operational needs as well as the needs of the regulator. Why data offices create problems by building point solutions. Thinking 5 years ahead to balance long-term strategy with immediate needs.Building to answer questions that you don't yet exist.To deliver value on strategic outcomes, you have to be in the strategy conversations. How data teams are constantly delivering what businesses ask for but not what they need. The lesson that most data offices are still learning, the hard way.Navigating your way into the right conversations if you're not already in them.Setting the correct expectations with your business.Why how you run the data office is more likely to dictate success than where it sits.Why it can't only be the CDO who's capable of engaging with the business.How the interview process should tell you what type of expectations the firm has. The importance of building relationships with people before you need to engage with them.Why learning how to make stuff happen beats generic data or leadership skills. The importance of effective and intentional hiring. Why data offices need to be better at blowing their own trumpet. Pushing the boundaries of why data offices exist.Transitioning from defensive to value generating. Why many data offices create barriers for themselves and end up behind the curtain. Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

Today's guest is Shayde Christian, Chief Data & Analytics Officer at Cloudera. Founded in 2008, Cloudera believes that data can make what is impossible today, possible tomorrow. They empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.Shayde leads all data and analytics functions at Cloudera, overseeing data science, machine learning, business intelligence, data architecture, data engineering, platform engineering and DevOps. He helps customers navigate their hybrid cloud migration and optimization journeys. Shayde has built or revitalized six enterprise data analytics organizations for Fortune 500 companies, global tech firms and startups.In this episode, Shayde talks about:His unique career journey, following passions and pursuing a true calling,How Cloudera evolved beyond Hadoop, pioneering AI-driven data solutions,Driving success through secure AI, data quality and feedback,Scalability, ROI, killer apps and AI-driven automation,Why attracting AI talent is hard; teams bootstrap skills internally,Why Cloudera is a great place to work with a focus on innovation and purpose,How his team aims to bridge the tech-business gap using AI,Leading the software evolution, investing in generative AI for success

In this special HIMSS25 recap episode of The Dish on Health IT, host Tony Schueth, CEO of Point-of-Care Partners (POCP), is joined by co-hosts Brian Bamberger, POCP's Life Sciences Lead, and Vanessa Candelora, Senior Consultant and Program Manager of the HL7 Gravity Project. Together, they break down the biggest themes from the conference, covering interoperability, artificial intelligence (AI), FHIR adoption, and the growing focus on improving data quality in healthcare innovation.HIMSS25 once again proved to be a crucial gathering of healthcare leaders, vendors, and policymakers, drawing nearly 28,000 attendees. Vanessa notes the continued focus on interoperability and trust, with a clear divide between experienced stakeholders refining their strategies and newcomers trying to grasp the fundamentals of FHIR. Brian, a HIMSS veteran, points out that first-time attendees often struggle with the complexity of both the conference itself and the discussions around health IT's latest advancements, particularly AI and its real-world applications.To add perspectives from the conference floor, Tony introduces a series of interviews with HIMSS25 attendees and industry leaders, including Anna Taylor, Associate Vice President, Population Health and Value-Based Care of MultiCare, Erin Weber, Chief Policy & Research Officer, CAQH, Mariann Yeager, CEO, The Sequoia Project, Matthew Holt, Founder/Writer of The Health Care Blog, and Lynne Nowak, Chief Data and Analytics Officer. Each interview provides insights into the real-world implementation of interoperability and FHIR, the evolving use of AI, and how data privacy and governance are shaping health IT strategy.FHIR adoption was one of the topics covered in the interviews. Some, like Mariann Yeager and Erin Weber, expressed optimism about FHIR's expanding role in clinical data exchange, while others, such as Anna Taylor, highlighted persistent scalability challenges and limited adoption for administrative functions like prior authorization. Matthew Holt offered a broader view on data exchange, arguing that while data mobility has improved, the real challenge is how organizations actually use and integrate that information. Vanessa underscores that while FHIR is gaining traction globally, large-scale implementation remains a work in progress. The panel agrees that translating theoretical frameworks into real-world adoption is the next crucial step.AI was another dominant topic, with a mix of enthusiasm and skepticism surrounding its potential. The HIMSS interviewees discuss AI's growing role in streamlining administrative workflows, summarizing patient records, and enabling ambient listening for clinical documentation. However, as Brian bluntly puts it, the “magic” of AI is still far from reality—many tools promise seamless EHR integration but lack the ability to write back into clinical systems, requiring manual intervention. Lynne Nowak and others emphasized that AI's effectiveness is directly tied to data quality—bad inputs will only lead to bad outputs. The consensus? AI has real potential to enhance workflows but cannot replace clinicians, and health IT leaders must focus on governance, usability, and ensuring AI supports, rather than replaces, human decision-making.As the conversation wraps up, Vanessa highlights the critical role of policy and strategic innovation in shaping the next wave of health IT progress. With new regulatory shifts and uncertainty around TEFCA, organizations must stay agile while ensuring that patient privacy, data integrity, and consent management remain top priorities. Brian brings the discussion back to life sciences, stressing the importance of leveraging patient insights and real-world data to drive treatment adherence and improve outcomes.HIMSS25 reinforced that while FHIR, AI, and interoperability remain hot topics, the industry is now at a critical inflection point—shifting from theory to execution. Organizations must filter out hype, focus on data quality, and build scalable solutions that improve both clinical and administrative functions.For those who couldn't attend HIMSS25 or want a deeper dive into what's next for health IT, this episode provides a comprehensive breakdown of the major takeaways. Subscribe to The Dish on Health IT on Apple Podcasts, Spotify, or your preferred platform. The podcast is also available on HealthcareNOW Radio. Full video versions are also available on POCP's YouTube channel. As always, health IT is a dish best served hot. 

In Episode 16, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Helen Blaikie, Chief Data & Analytics Officer at Aston University, where they discuss the comprehensive programme they've executed to help them build a truly data confident organisation, which includes;The implications of covid on the higher education sectorHow her non-data/technical background has helped her to a better CDOWhy you have to be a strong salesperson as a CDOWhy you shouldn't be using the ‘D' worldBuilding a data confident workforce instead of a literate or fluent oneEstablishing 54 measures of success for the organisationDeveloping data products to measure the measures of successIgnoring conventional wisdom and thinking big but also starting bigThe importance of tailoring the language of the data confidence programme to something the organisation would understandThe key components of the programme and the major benefits and challenges experiencedThe learnings from attempting to personalise the programmeCreating pathwaysEmbedding data confidence requirements into the recruitment process for non-data rolesTips on building advocacy and creating championsWhy training should be the last thing you doWhy timing is key when thinking about the training component of these programmesWhy it's important that you have the correct foundations to deliver a data confidence programmeThe qualitative and quantitative measures of success of a data confidence programmeThe power of true business partnering to improve data productsMeasuring lead indicators to quantify business outcomesThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota. Ylan returns to the show to discuss the latest developments in AI adoption within healthcare. The conversation explores key obstacles, including cultural resistance, the need for an AI Hippocratic Oath, and the risks of holding AI to unrealistic standards. Ylan also examines how agentic AI—capable of operating across systems to accomplish complex tasks—is reshaping healthcare operations. From optimizing administrative processes to rethinking claims management, AI has the potential to drive efficiency while maintaining human oversight where it matters most. This episode is sponsored by Searce. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

For Founders and Funders and those supporting the startup ecosystem, this episode was a kool convo around all things fundraising, founder journey, cap tables, dilution and more. For the chat with Peter of Carta, I am joined by Startup Guru Bobby Napiltonia, the Managing Partner @TheGTMFirm and former head of the AppExchange at @Salesforce and @Twilio's first CRO.  See https://www.thegtmfirm.com/ Subscribe and Share!

AI-Driven Healthcare: Sutter Health's Journey to Scale Clinical Innovation Join Kiran Mysore, Chief Data & Analytics Officer at Sutter Health, as he shares insights on scaling AI adoption, building sustainable innovation infrastructure, and transforming healthcare delivery through data-driven approaches. Learn how one of the nation's largest health systems is successfully integrating advanced analytics and AI into clinical practice while maintaining governance and ethical standards. • Real-world implementation of clinical AI at scale • Building sustainable innovation infrastructure • Data strategy for improved patient and provider experiences • Governance frameworks for responsible AI adoption • Implementation and impact from digital scribes to diagnostics To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

A discussion with Kira Barclay, CEO and founder of Black Antler Advisory & Consulting. Kira is also the past Chief Data & Analytics Executive at John Deere, where she spent nearly 20 years.Kira talks about how growing up on a farm gave her an innate understanding of John Deere's business. She knew how customers used Deere's equipment and even went to the John Deere store with her grandpa for coffee when she was young. She dives into how sensors have transformed both factories and equipment, leading to a current goal of individually tracking and managing literally every seed planted! She outlines her focus on developing and investing in the people working on her team. She finishes with a discussion of how grit helped her succeed and why she loves having some free time to think through problems. Don't miss her explanation of how she got into an ecommerce side gig! #analytics #datascience #ai #manufacturing #IOT #internetofthings #agriculture #farming

Join host Cindi Howson alongside Chris Bruman, Chief Data and Analytics Officer at Dow, and Dan Futter, Chief Commercial Officer at Dow, as they explore how data-driven innovation is reshaping business and customer experiences. From the hub-and-spoke model for data management to the power of real-time insights, they discuss the role of data literacy, leadership, and AI-driven decision-making in driving success. Don't miss this conversation on the future of AI, data strategy, and innovation.Discover the innovations that inspire Chris Bruman and Dan Futter, how data has shaped their careers, and which tech leaders they admire most.Key Moments: Revolutionizing Data: The Hub-and-Spoke Model: The Dow team highlights the shift to digital, while Cindi Howson reflects on IT's evolution. They explain Dow's decentralized hub-and-spoke model, balancing governance with agility for faster insights, accuracy, and career growth. (9:04)Why Data & Business Literacy Matter: Our guests stress understanding business needs, defining clear roles within the hub-and-spoke model, and supporting skill development. This approach simplifies processes, builds confidence in analytics, and drives value for Dow. (18:02)The Integrated Data Hub: A Game-Changer: Dow's data hub slashes data science time from months to a day. Prioritizing quality over speed prevents tech debt, ensuring strong governance. Now the go-to source for innovation, it plays a crucial role in Dow's data strategy. (28:03)Balancing Competing Demands in Industry: Our knowledgeable leaders in the industry underscore the importance of prioritizing data projects for impact. Decentralization eases bottlenecks, but demand remains high. Dow now requires senior sponsorship to ensure measurable value and optimize resources. (36:06)Key Quotes:"Too often, we wait until the project's done to figure out how to get the value and who's going to sponsor it. We have to flip that around and secure senior sponsorship before we even start." – Chris Bruman"If I talk data mesh to my business clients, there's going to be a blank stare, right? So we use hub and spoke—it's more visual and makes a lot more sense. At the end of the day, it's really about decentralization." – Chris Bruman"Instead of just showing a data sheet or marketing collateral and making the customer hunt for insights, we now surface specific text, data, and even language customization—getting them straight to the front door, not just the right street." – Dan Futter"It's not just about finding data—it's about ensuring its integrity. Where is that data? How does it get created? Which processes generate it? How do we train people so that, from the start, it stays high-integrity?" – Dan FutterMentionsWhat is a data mesh?SpaceXIn Our Time PodcastWalking the Dog PodcastGuest Bios:Chris Bruman Chris Bruman is the Chief Data and Analytics Officer at Dow, a multinational company with operations in 31 countries that serves customers in a wide range of markets.Dan Futter Dan Futter is the Chief Commercial Officer for Dow. Through his leadership in Customer Experience and Marketing/Sales disciplines, Dow is on track to become the most customer-centric material science company in the world. He was the program lead for the design, development, and launch of the company's groundbreaking Dow.com e-commerce platform and is passionate about the role digital technology plays in transforming customer journeys. Dan serves on the Executive Committee and is Chair of the Medals Committee of the Society of Chemical Industry America. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

949: New York Life is embracing AI and data to enhance customer experience and business strategy. In this episode of Technovation, Don Vu, Chief Data & Analytics Officer, shares how he's leading a transformation at the 180-year-old mutual insurance giant. Don discusses how AI and data modernization are reshaping insurance, the role of data in improving agent and customer interactions, and how New York Life is structuring its organization for agility and innovation. He also reflects on his career spanning Major League Baseball, Northwestern Mutual, and WeWork, and what excites him about AI's future.

Maribel Lopez of Lopez Research hosted a podcast at AWS Reinvent, discussing QuickSight with ATracy Daugherty GM, QuickSight at Amazon Web Service and Travis Muhlestein, Chief Data and Analytics Officer at GoDaddy. QuickSight, a cloud-based BI tool, enables real-time data sharing and decision-making through dashboards, pixel-perfect reports, and Q for asking data questions. In the podcast, Muhlstein shares how QuickSight has transformed GoDaddy's approach from static dashboards to real-time, interactive data exploration and analysis, enabling more agile, data-driven decision-making across the organization.Follow the guests at:Maribel Lopez https://www.linkedin.com/in/maribellopez/Travis Muhlestein, Chief Data and Analytics Officer at GoDaddy https://www.linkedin.com/in/travis-muhlestein/Tracy Daugherty GM, QuickSight at Amazon Web Services https://www.linkedin.com/in/tracy-daugherty-28a1014/

In Episode 9, of Season 5 of Driven by Data: The Podcast. Kyle Winterbottom is joined by Paul Hollands, Chief Data & Analytics Officer at AXA where they talk about value as the North Star, in which they discuss:How structuring the data agenda can drive impact as the first CDAO at the UK & Ireland level. How a clear North Star helps AXA UK & Ireland focus on the commercial impact of data and AI. Building strong foundations to execute data and AI use cases effectively. Balancing central coordination and business unit autonomy with a federated operating model. How business sponsorship from engaged CEOs supports the data mission. The value of having a team fully aligned behind a clear vision. Using a strong North Star to simplify complex processes and stay on track. How understanding the business environment helps measure data leaders' performance. Tackling the irony of CDOs being expected to excel at measuring value but lacking clarity on their metrics. Why being business-focused in theory doesn't always translate to practice. The difficulty of measuring the value of certain data processes. How stakeholder management and strong relationships drive data success. Encouraging CDOs to share more stories about their impact. Building knowledge-sharing communities to promote value-driven data practices. How GenAI is being industrialised and trust is being built around its use. Exploring how AXA and its staff are using GenAI in practical ways. Adapting data strategies over time as GenAI shapes the direction of data and AI. Avoiding distractions from shiny new trends in data and analytics by staying focused on long-term value. Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

What does it take to build a personal brand that truly stands out?   In this episode, Karen dives into the world of personal branding with two inspiring guests, each offering unique perspectives and strategies:  Robin Sutara, Chief Data and Strategy Officer at Databricks, who shares her journey from being behind the scenes to building her personal brand and being a visible thought leader. Robin emphasises the importance of consistency and overcoming imposter syndrome when sharing expertise online, especially on platforms like LinkedIn. She also shares how she makes time for content creation and advocating for opportunities to present work.  Olivia Arnold, Communications Director for Women in Data, who provides actionable strategies and advice for building your personal brand online. Livi stresses the importance of understanding your motivations and goals before sharing content. She breaks down how to engage your audience effectively, structure compelling content, and align your online persona with your offline presence. From writing in your authentic voice to analyzing what resonates with your audience, she offers practical advice to help you build connections and grow your visibility.  Listen to this episode for actionable tips to help grow your visibility and excel in the data community! 

Imagine a world where every piece of property tells a story—where every plot of land, building permit, and insurance claim contributes to a dynamic narrative that evolves over time. In the first episode of Season 5 of Core Conversations, you are invited you to step beyond the ordinary view of properties as an amalgamation of square footage and floor plans to uncover the living, breathing essence of property.Join host Maiclaire Bolton Smith and CoreLogic's Chief Data and Analytics Officer John Rogers as they take you on a journey into the $45 trillion real estate market — America's largest and most influential asset class. Discover how every event in a property's lifecycle, from its beginning as raw land to construction and finally its role in society — as well as everything in between like its vulnerabilities to climate risks — shapes its unique story.But this isn't just a story about data. It's about the groundbreaking innovations, like AI and Climate Risk Analytics, that are empowering industries like real estate, insurance, and government to navigate an increasingly complex world. Listen to real-world examples of how technology is automating listings, helping reduce wildfire insurance premiums, and driving decisions that build resilience for the future.In This Episode:1:53 – What does it mean to have the full picture of a property, and why would someone need all that data?7:17 – How can AI help someone see the full picture through all of the data that a single property (or a portfolio of properties) holds?13:18 – What will it look like to be a housing industry professional as AI evolves into an everyday tool?16:24 – How can high-quality climate data help the insurance industry in a market where it's becoming increasingly difficult to be profitable?20:04 – Erika Stanley does the numbers in the housing market in The Sip.21:15 – How can companies use climate resilience to ensure financial resilience?27:29 – How will data increase resilience in the property industry going forward?Up Next: What Will a Second Trump Presidency Mean for U.S. Housing?Links: Explore CoreLogic DataRead CoreLogic Intelligence Find full episodes with all our guests in our podcast archive here: https://clgx.co/3HFslXD5 Copyright 2025 CoreLogic Explore CoreLogic DataRead CoreLogic Intelligence

How can artists know if their creations are being used to train artificial intelligence? And if they are, should those artists be compensated? On today's show we speak with Vermont's Chief Data and AI Officer Josiah Raiche about the state's role in regulating AI, and artist Jane Adams helps us parse the philosophical questions AI poses to the creative process.On Capitol Hill last year, Sen. Peter Welch (D-Vt) introduced nearly a half dozen bills concerning AI. He's vowed to continue those efforts during this new Congress. Welch has also joined the influential Senate Finance Committee, alongside Sen. Bernie Sanders (I-Vt). This committee deals with taxation, trade agreements, tariffs and government health programs. In an interview on Vermont Edition, Senator Welch explains why he opposes tariffs on Canada, Mexico and China proposed by President-elect Donald Trump, as well as his work on regulating AI.Broadcast live on Monday, January 6th, 2025, at noon; rebroadcast at 7 p.m.

In this episode, Laura Dyrda is joined by Christopher Hutchins, Senior Vice President, Chief Data & Analytics Officer at Lifepoint Health. Chris shares how Lifepoint leverages data and technology to improve healthcare access in rural America, the organization's commitment to quality care, and the innovative strategies shaping its future.

In this episode, Laura Dyrda is joined by Dr. Philip Payne, inaugural Chief Health AI Officer at Washington University Medicine, and Deborah O'Dell, Chief Data and Analytics Officer at BJC Health System. They discuss the groundbreaking Center for Health AI, the collaboration driving innovation in patient care and operations, and how AI is transforming healthcare training, employee experience, and precision medicine.

On our season 7 finale, we sit down with Shari Garcia Rozen, Chief Data and Artificial Intelligence Officer (CDAO) at the Office of the Director of National Intelligence (ODNI), who takes us through a fascinating career journey, from her first job as a Sales Associate at the GAP to her current pivotal role in shaping data and AI strategy for the U.S. government.Shari shares her unique career path, which includes stints as a Private Sector Consultant at Booz Allen Hamilton working in the financial sector, and how these experiences fueled her curiosity, analytical mindset, and energy to tackle some of the nation's most complex intelligence challenges. We also dive into what it means to work in the intersection of data and artificial intelligence, and the critical role these technologies play in national security.Outside of work, Shari talks about her favorite hobbies such as hiking, traveling, crafting, and yes, sleep (it's important!). And in a fun twist, she recounts a time she had the thrilling opportunity to drive a Ferrari at the iconic Ferrari factory in Maranello, Italy.Tune in for an inspiring conversation about curiosity, career evolution, and nerding out. Hosted on Acast. See acast.com/privacy for more information.

Key Moments: Focusing on Value with Bill Schmarzo 1:48Unlocking the Collective Genius with Walid Mehanna 4:07Building a Data-Literate Workforce with Valerie Logan 5:58Creating a Human-Centric AI Strategy with Sadie St. Lawrence 7:40Selecting the Right Tools with Katie Russell 11:23Implementing tools responsibly with Robert Garnett 16:00Why Clean Data Matters with Barr Moses 19:36Ensuring Responsible AI for the Long-Term with Dr. Gary Marcus 25:45 Key Quotes:“Data-driven is not important. Value-driven—that's what's important. We should focus on value.” — Bill Schmarzo, Head of Customer Data Innovation at Dell Technologies“Our role was rather to activate the organizational muscle… to try things out and tell us what has the highest opportunity and possibility.” — Walid Mehanna, Chief Data and AI Officer at Merck Group“It's really a mindset and a muscle… we need to foster this kind of lasting change.” — Valerie Logan, CEO of the Datalodge“Teaching people to ask better questions is more about critical thinking than technology.” — Sadie St. Lawrence, Founder of the Human Machine Collaboration Institute“We wanted to make analytics accessible to everyone, combining real-time data and intuitive tools so every team member can gain insights and contribute to our mission to decarbonize.” — Katie Russell, Head of Data and Analytics at OVO Energy As we are looking at applications of AI within our environment, we are focused first on responsibility, making sure that we have a broad enough data set when we're building machine learning models, for instance. And so that's at the heart of anything that we do.” – Robert Garnett, Vice President for Government Analytics and Health Benefits Cost of Care at Elevance Health“Our world is moving towards a place where data is the product—and in that world, directionally accurate just doesn't cut it anymore.” — Barr Moses, CEO and Co-Founder of Monte Carlo“The tech policy that we set right now is going to really affect the rest of our lives.” —  Dr. Gary Marcus, Scientist, Advisor to Governments and Corporations, and Author of Taming Silicon ValleyGuest Bios Bill Schmarzo Bill Schmarzo has extensive hands-on experience in the areas of big data, data science, designthinking, data monetization, and data economics. Bill is currently part of Dell Technology's core data management leadership team, where he is responsible for spearheading customer co-creation engagement to identify and prioritize the key data management, data science, and data monetization requirements.Walid MehannaWalid Mehanna is Chief Data & AI Officer at Merck KGaA, Darmstadt, Germany, where he leads the company's Data & AI organization, delivering value, governance, architecture, engineering, and operations across the company globally. With many years experience in startups, IT, and consulting major corporations, Walid encompasses a strong understanding of the intersection between business and technology. Katie RussellKatie Russell is the Data Director at OVO Energy, leading teams of Data Scientists, Data Engineers and Analysts who are transforming OVO's data capability. As part of a technology led business, leveraging data using artificial intelligence keeps OVO truly innovative, delivering the best possible service for our customers. Rob GarnettRobert Garnett serves as Vice President for Government Analytics and Health Benefits Cost of Care at Elevance Health. In this role, he leads a data-driven organization supporting analytics and insights for Medicaid, Medicare, Commercial and enterprise customers in the areas of population health, cost of care, performance management, operational excellence, and quality improvement. Valerie LoganFounding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. With train-the-trainer bootcamps, and a peer community, she's certifying the world's first Data Literacy Program Leads. In 2023, The Data Lodge was acquired as the basis of a newly formed venture, Data Society Group (DSG), aimed at fostering data and AI literacy and cultural change at scale. Valerie is excited to also serve as the Chief Strategy Officer of DSG. Previously, Valerie was a Gartner Research VP in the CDO team where she pioneered Data Literacy research and was awarded Gartner's Top Thought Leadership Award.Sadie St. LawrenceSadie St. Lawrence  is on a personal mission to create a more compassionate and connected world through technology. Having grown up on a farm in Iowa she witnessed first-hand how advancements in technology rapidly changed how we work and earn a living, which in turn affected the overall success of a community. Through her work, she noticed that while many organizations and individuals have good intentions when it comes to D&I in data careers, there was a lack of progress.Dr. Gary MarcusGary Marcus is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of six books. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this special episode, you'll get to listen in on conversations I had while attending Blueprint Conference, 2024. Here's the list of guests in this Part 2 of my Blueprint Conversations series.Kenon Chen, EVP of Strategy and Growth at Clear Capitalhttps://www.linkedin.com/in/kenon-chen-72201b4/https://www.clearcapital.com/John Rogers, Chief Data & Analytics Officer at CoreLogichttps://www.linkedin.com/in/john-rogers-a4053a38/https://www.corelogic.com/Brandon Peterson, CEO of Geokeyhttps://www.linkedin.com/in/brandon-peterson-6ab6b997/https://geokeyaccess.com/Amber Kahr, Co-founder of Billionshttps://www.linkedin.com/in/amberkahrhttps://www.joinbillions.comNick Schanbaum, Co-founder of Durango Turnkey Serviceshttps://www.linkedin.com/in/nick-schanbaum-01ab3831/https://durangotks.com/