Podcasts about chief data

How Do Clinicians & Patients Feel About Prior Auth? Lynne Nowak, Chief Data and Analytics Officer, at Surescripts, shares highlights from their research on how clinicians feel about prior authorization, her point of view on responsible AI, and how it all ties back to better experiences for patients and clinicians.  All that, plus the Flava of the Week about Whoop partnering with HealthEx to offer clinician access. How does this signal the move from performance wearable to health intelligence platform, and and should we offer wearables a bigger seat at the table when building the consumer constellation of care?  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/

Gugs Mhlungu speaks with Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about the growing tensions between AI innovation and government regulation following Anthropic’s suspension of its latest AI tool. They unpack the national security concerns, the debate around releasing increasingly powerful models to the public, and what this moment signals for the future of AI governance, safety, and responsible innovation. 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.

Gugs Mhlungu speaks with Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about Anthropic’s new Claude Mythos 5 rollout and the public Claude Fable 5 model designed with safety restrictions to limit misuse and what this means for AI safety, cybersecurity, and the future of responsible AI use. 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.

For decades, digital banking has been built around clicks, menus, and workflows. But AI is changing that, creating banking experiences built around conversation, context, and intent.In this episode of Banking on Community, we sit down with Chris Cox, General Manager of Digital Engagement Solutions at CSI, and Daniel Haisley, CSI's Chief Data & AI Officer, to discuss how conversational banking is reshaping the digital experience for consumers and businesses. We explore how AI is helping banks move from reactive service to proactive guidance, deliver more personalized experiences, and strengthen customer relationships.We also discuss the practical realities of AI adoption, including data readiness, governance, risk management, and the rise of AI agents. If your institution is thinking about what's next in digital banking, this conversation is a good place to start.Thanks for listening! Feel free to submit questions on X or LinkedIn using #BankingonCommunityPod and give us a follow! LinkedInXFacebookYouTube

As the world of AI expands and people are adopting new uses every day, Justin and Matt sat down with Sheila Anderson, Chief Data & Analytics Officer at Daktronics, to hear how the company is integrating AI into the business. The conversation covers best practices for AI, what Daktronics is using, how different business segments are capitalizing on AI efficiencies and more.  

Gugs Mhlungu speaks with Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about the risks of full business automation and its potential impact on jobs and the economy, alongside a real-world AI-run café experiment in Stockholm, unpacking what it reveals about the limits and sustainability of automation in business. 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.

On our second installment of How to Raise Your Agent, we welcome Michelle Finneran Dennedy back into the SmarterMarkets™ studio. Michelle is Chief Data Strategy Officer at Abaxx Technologies. David Greely sits down with Michelle to discuss what business leaders and managers will need to do to adapt to a world where their teams include both people and agents – and how they should be thinking about integrating agents into their teams, including how to raise and govern them.

What if the real power of AI in healthcare isn't the technology itself, but how we apply it responsibly and intentionally? In this episode, Ajoy Ranga, Chief Digital Officer of Healthcare at UST Global, and Ashok Chennuru, Chief Data & Digital AI Transformation Officer at the Digital Platforms and Artificial Intelligence Office at Elevance Health/Carelon, discuss how their partnership between UST and Elevance Health is leveraging AI, data, and digital transformation to improve healthcare outcomes and consumer experience. They emphasize that scaling AI responsibly requires strong governance, human oversight, and a clear stance against using AI to deny care. Both highlight that high-quality, actionable data is foundational, but must be practical, cost-effective, and usable even when imperfect. Ultimately, they stress that success in healthcare innovation comes from starting with user experience, rapidly prototyping solutions, and fostering a mindset of continuous learning and experimentation. Tune in to hear how Elevance Health and UST are balancing innovation with responsibility to unlock AI's true potential in healthcare! Resources: Connect with and follow Ajoy Ranga on LinkedIn. Follow UST Global on LinkedIn and visit their website! Connect with and follow Ashok Chennuru on LinkedIn. Follow Elevance Health on LinkedIn and visit their website!

What does it take to bring artificial intelligence into state child welfare systems? How do you modernize legacy systems…without losing the human judgment at the heart of child welfare? And what happens when you combine data, product thinking, and human-centered design to rethink how government delivers services? Join host Michael J. Keegan and his guest Steven Hintze, Chief Data and Product Officer at the Arizona Department of Child Safety. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Gugs Mhlungu speaks with Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about global talks on vetting AI models before release, and what this could mean for innovation, safety and regulation in the fast-moving AI space. 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.

Gugs Mhlungu speaks with Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about the credibility of Google’s AI Overviews and how users can critically assess and verify information rather than relying on it at face value. The discussion also explores how AI labelling can help people identify generated content and make more informed judgments about what they read online. 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.

AI agents are appearing across every enterprise platform, but most still struggle to move beyond scripted automation into systems that can reason, adapt, and operate within real workflows.On this episode of Ctrl + Alt + AI, Dimitri Sirota,  speaks with Justin Heller, former Chief Data Officer at Synchrony Financial and Chief Data & AI Officer of Quantify Data Advisors, about how organizations can leverage their existing data to reduce cyber risks, manage unstructured data, and integrate AI effectively. Justin, formerly the Chief Data Officer at Synchrony Financial, shares insights on the evolving role of data governance in an AI-driven world and the importance of shifting from a "pilot" mentality to creating sustainable AI-driven business value. Tune in as they unpack the complexities of managing both structured and unstructured data, ensuring relevance, and achieving true data governance alignment with emerging AI technologies.What to expect:How organizations can use existing data assets to reduce cyber risks and enhance AI initiativesWhy relevance, not just accuracy, is the key to effective AI and data managementThe importance of connecting unstructured data, metadata, and AI systems for better decision-makingThings to listen for: (00:00) Meet Justin Heller(01:25) Justin's transition from CDO to data advisor(02:35) From structured to unstructured data in AI environments(04:24) Why context engineering is critical for AI-driven business decisions(06:00) Moving beyond AI pilot projects to sustainable value(08:30) How data stewards can work with AI tools(09:00) Integrating AI across existing business processes(10:03) Building governance models for unstructured data(13:00) AI in unstructured data repositories: Best practices(15:00) Measuring ROI from generative AI in enterprises(18:00) Cross-functional collaboration for effective AI implementation(20:00) The role of CDAOs in driving AI-related outcomes(21:30) Shifting from pilot programs to ongoing AI-driven business value

Podcast: Don't Panic It's Just Data!Guest: Adrian Estala, VP, Field Chief Data & AI Officer, StarburstHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAfter years of heavy investment in data lakes and warehouses, many enterprises still face a frustrating reality. Insights continue to remain slow, fragmented, and hard to trust.In the recent episode of the Don't Panic It's Just Data podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, is joined by Adrian Estala, VP, Field Chief Data & AI Officer at Starburst. They sat down to discuss why more enterprises are adopting a new architectural approach, the business semantic layer, to speed up AI adoption.What's the Core Issue in AI Data Enterprise?The core issue, Estala argues, is not a lack of infrastructure but an inconsistency between how data is organised and how enterprises think. “No one's really there yet,” he says, reflecting on a decade of backend optimisation. “We don't know what ‘perfect' architecture means, especially in the AI age.”The semantic layer, sometimes called a “context layer,” represents a shift from technical complexity to business usability. Typically, the system requires non-technical users to interpret schemas and pipelines; however, Starburst provides an abstraction that shows data in familiar business terms, along with metadata and governance rules.“If you build it right,” Estala explains, “when a CFO walks in the room and sees their semantic layer, it makes sense to them.”For an enterprise, this is more than just a usability improvement. It reduces duplication, eliminates conflicting metrics, and reduces reliance on IT teams for routine analysis. As Laney notes during the discussion, the goal is not to replace existing systems but to make them “that much more accessible” by layering business meaning on top.Also Watch: AI Is Replacing BI — Here's What CIOs Need to KnowSovereignty, Governance & the European RealityThe conversation is even more acute in regions like Europe, where data sovereignty has become a major concern. Regulatory pressure has led enterprises to rethink not only where data is stored but also how it is accessed and shared.Estala describes a federated model where data stays within national boundaries while still being usable globally. Organisations set up local clusters in countries like Switzerland or the United Kingdom, build data products locally, and apply strict rules for what can be shared centrally.“I can decide which data products are approved to be shared,” he says, alluding to compliance mechanisms that ensure sensitive information cannot be traced back to individuals.This creates a system that satisfies both regulators and business leaders. Executives no longer need to worry about jurisdictional complexities; they work with a unified view of data that has already been filtered, governed, and approved. “For them, it just feels like it's already been brought together,” Estala adds.As AI agents and copilots continue to gain popularity, the discussion also spotlights limitations. One such limitation is trust. Without confidence in the underlying data, even the most advanced AI tools struggle to provide meaningful value.“If they don't trust the answers, it's just a cool toy,” Estala says, describing a common pattern where initial excitement fades once users doubt the reliability of outputs.The semantic layer also tackles this discrepancy by embedding governance, lineage, and business rules directly into data products. Starburst helps enterprises clearly define which data is exposed to AI systems and under what conditions, making it easier to explain and justify decisions.Currently, Estala observes, AI mainly speeds up existing workflows instead of transforming them. Executives are asking the same questions they always have, but getting answers faster and from broader datasets. The real change, he suggests, will come when trust allows leaders to ask entirely new questions and rethink decision-making.How to Drive Business Value in 90 Days?For CIOs and CDOs eager to move past experimentation, the Chief Data and AI officer outlines a focused, business-led approach. Rather than launching large-scale transformations, he suggests starting with a single domain and building momentum from there.The first phase focuses on collaboration, bringing business stakeholders into the design of the semantic layer and defining the data products that are most important. “We design it with the business team in the room,” he explains, stressing ownership from the start.The next stage shifts to enablement, as teams begin to use and expand these data products themselves. This is where self-service takes root, reducing dependence on IT and promoting more exploratory use of data.By the final phase, enterprises are ready to introduce AI agents on top of a trusted foundation. At that stage, technology becomes almost secondary. “Once you get to a semantic layer that you trust, adding an agent is easy,” Estala says.As enterprises continue to adopt AI at larger scales, their competitive edge will come from algorithms and from how effectively they organise, govern, and contextualise their data. In this sense, the semantic layer is quickly becoming the backbone of modern, AI-driven decision-making.Key TakeawaysSemantic layers make governed data accessible for enterprise AI.Data sovereignty drives federated, compliant data architectures.Trusted AI needs governed, metadata-rich data products.Semantic layers deliver business value within 90 days.Virtual layers reduce duplication and speed up analytics.Chapters00:00 The Shift to Business Semantic Layers08:02 Data Sovereignty and Governance in Modern Strategies13:08 Foundational Capabilities for AI Systems18:11 AI Agents and Decision Making23:04 Practical Steps for Implementing Semantic LayersTo learn more about how data products and AI agents are changing enterprise analytics, follow:Starburst LinkedIn: @StarburstStarburst X: @starburstdataStarburst YouTube: @StarburstDataEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFollow: @EM360Tech on YouTube, LinkedIn and XStay connected for more expert insights, podcast episodes, and enterprise data strategy discussions.#SemanticLayer, #DataGovernance, #EnterpriseAI, #DataStrategy, #DataArchitecture, #AIatScale, #Compliance, #DataSovereignty, #ContextLayer, #AIagents, #DataProducts, #SelfServiceAnalytics, #CIO, #CDO, #Starburst, #AdrianEstala, #DougLaney, #DontPanicItsJustData, #EM360Tech, #TechPodcast

Gugs Mhlungu speaks with Dr Mark Nasila, Chief Data and Analytics Officer at First National Bank Risk, about how powerful AI tools can strengthen cybersecurity, but also raise concerns about misuse, and explore a growing challenge in AI behaviour, systems that tend to affirm users rather than challenge them, and what that means for risk, decision-making, and responsible innovation. 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, Sudipto Srivastava, Chief Data and Analytics Officer at Montefiore Health System, joins the podcast to discuss building effective AI governance programs and ensuring data safety across the organization. He shares priorities for 2026, including strengthening the revenue cycle and supply chain through data-driven strategies, and highlights key areas for organizational growth as analytics capabilities continue to evolve.

In this episode, Sudipto Srivastava, Chief Data and Analytics Officer at Montefiore Health System, joins the podcast to discuss building effective AI governance programs and ensuring data safety across the organization. He shares priorities for 2026, including strengthening the revenue cycle and supply chain through data-driven strategies, and highlights key areas for organizational growth as analytics capabilities continue to evolve.

In this episode, Srilekha Akula, Chief Data & AI Officer, TRIMEDX, shares how AI is enabling real time, data driven capital planning and connecting predictive maintenance to smarter supply chain decisions. She explores how health systems can reduce downtime, improve efficiency, and protect patient care by breaking down data silos.This episode is sponsored by TRIMEDX.

Your product data wasn't built for AI agents. Here's why that's a problem. In the latest episode of RETHINK Retail's award-winning AiR (AI in Retail) podcast series, host Jamie Tenser sits down with @Anne-Claire Baschet, Chief Data & AI Officer at @Mirakl and a Top AI Leader recognized by RETHINK Retail, to explore the seismic shift happening in retail discovery right now. Anne-Claire brings a rare combination of deep technical expertise and strategic vision, from her roots as a Data Scientist at AXA to leading e-commerce platforms at Aramis Group, and now driving AI innovation at Mirakl. As a recognized leader in the AI retail space, she's at the forefront of what she calls the "agentic era" in commerce. The reality check: • 53 million shopping queries happen daily on ChatGPT alone • 60% of shoppers now use AI in their shopping journey • Traditional keyword optimization? It's no longer enough What retailers must do now: ✓ Product data & API infrastructure – Make your catalog AI-responsive, not just mobile-responsive ✓ Brand content & social proof – Build trust signals that AI agents recognize ✓ Pricing transparency – Show the real price (product + promo + tax + shipping) ✓ Fulfillment capabilities – Accurate stock and delivery promises matter more than ever ✓ Performance tracking – Test, learn, and optimize for agentic channels Anne-Claire's advice for 2026? "Experiment. The ones who win are going to be those whose products AI can actually find, understand, and recommend."

What if the real power of AI in healthcare isn't the technology itself, but how we apply it responsibly and intentionally? In this episode, Ajoy Ranga, Chief Digital Officer of Healthcare at UST Global, and Ashok Chennuru, Chief Data & Digital AI Transformation Officer at the Digital Platforms and Artificial Intelligence Office at Elevance Health/Carelon, discuss how their partnership between UST and Elevance Health is leveraging AI, data, and digital transformation to improve healthcare outcomes and consumer experience. They emphasize that scaling AI responsibly requires strong governance, human oversight, and a clear stance against using AI to deny care. Both highlight that high-quality, actionable data is foundational, but must be practical, cost-effective, and usable even when imperfect. Ultimately, they stress that success in healthcare innovation comes from starting with user experience, rapidly prototyping solutions, and fostering a mindset of continuous learning and experimentation. Tune in to hear how Elevance Health and UST are balancing innovation with responsibility to unlock AI's true potential in healthcare.  About Ajoy Ranga: Ajoy Ranga is the Chief Digital Officer of Healthcare at UST. Ajoy Ranga is a distinguished technology executive with over 20 years of experience driving digital transformation in healthcare. As former Vice President of Product Engineering at Elevance Health, he led the strategy and delivery of all external-facing digital channels, impacting millions of members and partners. Ajoy is known for pioneering industry-first innovations—including AI-powered tools, conversational interfaces, and cloud-native platforms—that improved member engagement and operational efficiency. With deep expertise in product-centric engineering, mobile-first design, and scalable architectures, he has built and led high-performing global teams while advancing enterprise agility, AI adoption, and cloud modernization. About Ashok Chennuru: Ashok Chennuru is the Chief Data & Digital AI Transformation Officer at the Digital Platforms and Artificial Intelligence Office at Elevance Health/Carelon. In his role, is responsible for driving healthcare innovation through the transformative power of data and AI across the organization. In recent years, Ashok has led transformational efforts to revolutionize the business, develop foundational AI platforms, enhance operations, drive exceptional experiences, and develop an AI-enabled workforce. Ashok also spearheads much of Elevance Health's clinical and payer-provider integration efforts, including Health OS - an interoperability platform that connects provider, payer, and member data - as well as value-based platforms, population health management, and provider analytics.  Things You'll Learn: Responsible AI must be governed, monitored, and continuously evaluated. AI should augment care decisions, not restrict access to care. Actionable, integrated data matters more than perfectly clean data. Experience-first design leads to faster alignment and better outcomes. Lifelong learning and experimentation are essential for success in modern healthcare technology. Resources: Connect with and follow Ajoy Ranga on LinkedIn. Follow UST Global on LinkedIn and visit their website. Connect with and follow Ashok Chennuru on LinkedIn. Follow Elevance Health on LinkedIn and visit their website.

New data from Lumina Foundation and Gallup's Aligning Education and Work: What Employers Say Higher Education Must Deliver shows that employers still value college degrees — but have serious concerns about whether graduates are ready to use them. In this episode of the Changing Higher Ed® podcast, Dr. Drumm McNaughton speaks with Dr. Courtney Brown, Vice President of Impact and Planning and Chief Data and Research Officer at Lumina Foundation, about what 2,000 employers told Gallup about higher education, why public confidence in colleges has collapsed from 60% to one-third of Americans in a decade, and what institutional leaders must do about it. Brown also discusses Lumina's new national goal: 75% of Americans in the labor force holding a credential of economic value by 2040, up from a current baseline of 43%. Topics Covered: What the new employer data shows about degree value, skills readiness, and preparation gaps Why public confidence collapsed and which concern ranks first, second, and third among those losing faith Why current students report dramatically different experiences than the general public perceives The 43 million stopped-out Americans and why the system failed them Why today's students are not a nontraditional population to accommodate around the margins What Lumina's new credentials-of-value framework measures and why attainment without economic value is no longer sufficient Three Key Takeaways for Leadership: Stop playing defense and lead with evidence. Transparency about outcomes builds credibility. Defensive posturing does not. Treat the skills gap as a question, not a verdict. Investigate what specific skills are missing before restructuring curriculum. Redesign for the students who are enrolling, not the ones who were. Flexibility, mental health support, and advising connected to career outcomes are completion infrastructure, not amenities. Read the transcript: https://changinghighered.com/2026-lumina-gallup-report-aligning-education-and-work/ #HigherEducation #WorkforceReadiness  #LuminaFoundation #HigherEdStrategy #ChangingHigherEdPodcast

Join Stephen Ibaraki as he sits down with Dr. Caroline Chung, Vice President, Chief Data & Analytics Officer, and Professor at MD Anderson Cancer Center, for an inspiring conversation about transforming medicine through data, technology, and human-centered innovation.In this episode, Dr. Chung shares her incredible journey—from her early years as a second-generation Canadian to leading pioneering initiatives in oncology at UBC, Princess Margaret, and MD Anderson. Discover how her personal experiences, mentorship, and fearless approach to nonlinear career paths shaped her impact in medicine and data science.Career Inflection Points: How early life experiences and family inspired a mission-driven path in medicine.Precision Medicine & Innovation: Dr. Chung's focus on brain tumors, quantitative imaging, and translational research.Leading Change: Creating multidisciplinary clinics, standardizing tumor measurement, and integrating AI in oncology.Data & Technology in Healthcare: Building enterprise-level data governance, exploring digital twins, and leveraging AI, HPC, and quantum computing.Future of Medicine: Overcoming challenges in interoperability, collaboration across sectors, and fostering the next generation of innovators.

This Omni Talk Retail Fast Five segment, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, looks at Kroger's decision to create a Chief Data and AI Officer role. Chris Walton and Jenn Hahn discuss what elevating the leader of 84.51 means for Kroger's long term AI strategy and how data leadership is becoming central to retail. ⏩ Tune in for the full episode here: https://youtu.be/qZQHl9r-BUc #RetailNews #Kroger #AIinRetail #RetailTechnology #RetailInnovation #OmniTalk #RetailFastFive

My guest this week is Jon Francis, the newly appointed Chief Data & Analytics Officer, and Head of Digital at State Farm Insurance. John's career reads like a master class in how data, digital and experience converge to drive transformation. At State Farm, he's going to be focused on building smarter, more human digital experience that serves both customers and agents, a mission that sits squarely at the intersection of technology and trust.Before joining State Farm, he spent three years at General Motors as Chief Data and Analytics Officer, leading enterprise-wide data strategy and innovation. Prior to that, he served as Chief Digital and Analytics Officer at Starbucks, where he and his team built a centralized engine for analytics, machine learning, and research, powering everything from personalized marketing to AI-driven real estate decisions. If that's not enough, John's career has also spanned leadership roles at Nike, Amazon, Expedia, and T-Mobile, making him one of the few executives who's helped shape digital strategy across nearly every major industry. 

Discover how enterprise AI and data strategy are operationalized at scale in one of the most highly regulated industries in the world. Louis DiModugno, Global Chief Data Officer at Verisk, shares how he builds AI-ready data foundations across 40+ petabytes of insurance and risk data, and the best practices behind embedding AI into enterprise products. He discusses unstructured data, deepfakes, and the shift from governance to observability, offering practical insights for data leaders scaling AI responsibly. Key Moments: From Military Leadership to Chief Data Officer: Data Integrity as a Competitive Advantage (03:02): Louis shares how his experience as a U.S. Air Force Colonel has shaped his approach to data governance, data quality, and enterprise AI leadership. He explains why integrity, service, and operational excellence are essential foundations for modern CDOs building trusted, decision-ready data environments. Building AI-Ready Data Foundations at a 40+ Petabyte Scale (17:13): Managing more than 40 petabytes of insurance and risk data, Louis breaks down how Verisk transforms complex, multi-source data into AI-ready infrastructure. From entity resolution and master data management to benchmarking and predictive analytics, he outlines what it takes to prepare enterprise data for AI and advanced analytics at scale. Designing an AI-First Data Strategy for Enterprise Decision Intelligence (20:00): Louis breaks down how Verisk evolved toward an AI-first data strategy across more than 150 insurance and analytics products. Rather than treating AI as an add-on, he explains how embedding AI into core workflows enables smarter underwriting, pricing, regulatory reporting, and risk management. He also discusses the strategic role ThoughtSpot plays in delivering natural language search, embedded analytics, and scalable AI-driven decision making. AI Fraud, Deepfakes, and Risk Management in Financial Services (26:11): As AI-generated images and synthetic claims become more sophisticated, Louis discusses how the insurance industry is combating deepfake fraud and AI-driven manipulation. He shares best practices around AI risk management, vendor partnerships, and regulatory collaboration to protect policyholders and maintain trust. Unstructured Data and AI: Why Governance Still Matters (29:28): Louis explores how expanding beyond structured data is reshaping enterprise AI. He explains why incorporating unstructured data into vector databases, graph models, and knowledge systems can significantly improve model accuracy and decision confidence. At the same time, he emphasizes that stronger governance (or observability as he reframes it) is essential as organizations scale AI across regulated industries. Key Quotes: “The more data that you bring to the equation, the more elements that you have in the algorithm, the higher level of accuracy you should be able to reach with your outcomes.” - Louis DiModugno “I've tried to move away from using the word governance as much as I like to use the word observability, because I really think observability shows more aspects of what it is that we are doing with the data.” - Louis DiModugno “The underlying aspect of what ThoughtSpot's delivering to them is our insights that not only give them their answer, but also give them insights that maybe they weren't looking specifically for. One of the big benefits of ThoughtSpot is that it's trying to anticipate what you're asking for.” - Louis DiModugno “We've partnered with ThoughtSpot, which brings AI embedded within its product. By having our data available through the data sets that we populate through the ThoughtSpot products, we've got the opportunity to utilize Spotter and the natural language processing capabilities to interact with the data, so that you can ‘talk with your data'.” - Louis DiModugno Mentions From Months to Weeks: How Verisk Scaled Embedded Analytics Breaking Down Digital Media Fraud for Claims in the AI Era Randy Bean's 2026 AI & Data Leadership Executive Benchmark Survey Guest Bio  Louis DiModugno brings more than 20 years of career experience in data and analytics to his new role. He has held several leadership positions in insurance and (re)insurance at firms including The Hartford and AXA US, where he served as the company's inaugural Chief Data & Analytics Officer. Most recently, DiModugno pioneered the role of Chief Data and Technology Officer for Hartford Steam Boiler. Before entering the private sector, DiModugno served with distinction as a Colonel in the U.S. Air Force and Air Force Reserves. He has held teaching positions at Rensselaer Polytechnic Institute, and he currently serves on the Chief Data Officer Advisory Council for the George Mason University School of Business. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Each week, the CPG Guys will riff on the hottest topics in the world of omnichannel commerce. This week's topics:Kroger's new CEOMilen Mahadevan named Chief Data & AI Officer at KrogerTarget's new strategyCostco pursues tariff refundsCPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comSheCOMMERCE Website: https://shecommercepodcast.com/Rhea Raj's Website: http://rhearaj.comLara Raj in Katseye: https://www.katseye.world/DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent.CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

In this week's Omni Talk Retail Fast Five, A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, Chris and guest host Jenn Hahn of J Recruiting Services discussed: Walmart expanding its digital shelf label technology to all 4,600 of its US stores, completing what is likely the single largest ESL rollout in retail history (Source) Costco CEO Ron Vachris is publicly pledging to return any tariff refunds directly to members through lower prices (Source) Kroger creating a new Chief Data and AI Officer role by elevating Milen Mahadevan, president of its 84.51 analytics subsidiary, to lead its entire AI and data agenda (Source) Kroger deploying autonomous inventory drones from Corvus Robotics into sub-freezing cold chain distribution facilities (Source) Dick's Sporting Goods, thanks to its Move fitness rewards app, unexpectedly rocketing to #3 on the Apple App Store free download chart, landing right between Claude and Gemini (Source) And Jenn also helped us hand out this month's OmniStar Award — given in partnership with Quorso — to Mark Chenier, SVP GMM of Footwear at Academy Sports and Outdoors! There's all that, plus nihilist penguins, spring break plans, March Madness predictions, and green beer. Music by hooksounds.com #RetailNews #WalmartESL #DigitalShelfLabels #KrogerAI #RetailTech #CostcoTariffs #RetailPodcast #OmniTalk #RetailFastFive #DicksSportingGoods #OmniStar #RetailInnovation

What does it actually take to go from AI experimentation to real business impact? In this episode of the Watson Weekly, Rick Watson sits down with Anne-Claire Baschet, Chief Data and AI Officer at Mirakl — the enterprise marketplace platform powering some of the world's largest retail brands.Anne-Claire shares how she went from a passion for sci-fi and mathematics to leading AI transformation at scale — spanning French national rail, a refurbished car marketplace IPO, and now a bold mandate at Mirakl: disrupt the business responsibly with AI.In this conversation, you'll learn:Why 95% of AI projects fail to deliver ROI — and it's not the technology's faultHow Mirakl jumped from 50% to 95% Gen AI adoption by eliminating the "copy and paste game"The self-driving car framework (L0 → L1 → L2) and how to use it to assess your own SaaS AI journeyHow Mirakl's Catalog Transformer reduced categorization errors by 50% and cut onboarding time from 15 days to under 2 hoursWhy solving the right problem matters more than solving a problem the right wayWhat agent commerce means for the future of retail — and how Mirakl Nexus is preparing for itWhether you're a product leader, an AI executive, or building B2B SaaS, this episode is packed with hard-won lessons on strategy, adoption, and shipping AI that actually works.

Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota. With deep experience leading enterprise AI strategy in regulated healthcare, Ylan brings a grounded perspective on how organizations can innovate responsibly with emerging technology. Ylan joins Emerj Emerj Client Narrative & Content Strategy Lead Nick Gertsch to discuss how healthcare leaders can approach AI adoption through clear organizational posture, strong governance, and a focus on measurable customer and operational value. Ylan also shares practical takeaways, including balancing build-versus-buy decisions, embedding explainability and auditability into workflows, and prioritizing AI use cases that reduce friction in the patient experience while delivering sustainable ROI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

In this Bright Spots in Healthcare episode, Medicare Advantage leaders confront a hard truth: high activity does not guarantee high impact. As Stars cut points rise and margins tighten, traditional segmentation and broad outreach strategies are no longer sufficient. This discussion explores how leading plans are shifting from static stratification to dynamic signal monitoring, identifying which members are realistically movable, and embedding behavioral intelligence directly into operational workflows. The focus is not on doing more. It is on doing what measurably drives lift. Our guests include: Amin Serehali, Chief Data and Analytics Officer, Independent Health Mike Leiper, Director of Government Quality Programs, Highmark Brendan Generelli, Director of Medicare Stars and Quality, Johns Hopkins Health Plans David Burianek, Chief Strategy Officer for Health Plans, MedOrion Together, they explore: How plans are distinguishing between theoretical risk and practical movability, concentrating outreach on members whose behavior can realistically change within a defined window. How leading organizations are integrating claims, pharmacy, grievance, complaint, and social drivers data with behavioral science modeling to move beyond rules based campaigns. Why simultaneous pressure across HEDIS, CAHPS, and Part D often reflects fragmentation in engagement strategy rather than isolated measure failures. How targeted pilots within defined populations create clarity before scaling enterprise wide changes. Why timing is emerging as a strategic lever, with continuous signal monitoring replacing annual segmentation refresh cycles. How embedding intelligence into frontline workflows improves alignment between engagement effort and measurable Stars influence. Panelist Bios: https://www.brightspotsinhealthcare.com/events/beyond-segmentation-how-medicare-advantage-engagement-is-being-rebuilt/ Download the Episode Guide: Get key takeaways and expert highlights to help you apply lessons from the episode. https://www.brightspotsinhealthcare.com/wp-content/uploads/2026/02/Updated-Episode-Guide-Beyond-Segmentation.docx.pdf  Key Insights Summary: Find the top six strategic insights from the discussion, including detailed speaker takeaways and moderator notes. https://www.brightspotsinhealthcare.com/wp-content/uploads/2026/02/Key-Takeaways-Beyond-Segmentation-2.12.26.docx.pdf    Resources: Companion Brief: From Segmentation to Signals This companion brief expands on the behavioral intelligence framework discussed in the episode, outlining how health plans can identify movable phenotypes, align engagement timing with readiness signals, and measure causal lift against specific Stars drivers. Inside you will find insights on: Shifting from annual risk stratification to continuous behavioral signal monitoring Identifying members whose behavior is realistically influenceable within a defined measurement window Reducing wasted outreach and improving ROI through precision targeting Embedding intelligence into operational workflows rather than post hoc reporting To request your copy, email nroberts@brightspotsventures.com. Thank You to Our Episode Partner, MedOrion: Medorion partners with Medicare Advantage plans to integrate behavioral science and advanced analytics into engagement strategy. By layering behavioral phenotyping onto clinical and utilization data, Medorion helps plans identify which members are movable, optimize outreach timing, and improve measurable Stars performance. Learn more at https://medorion.com/. Schedule a Conversation with MedOrion: To explore how behavioral intelligence can strengthen your engagement strategy and improve measurable lift across HEDIS, CAHPS, and Part D, reach out to nroberts@brightspotsventures.com  to schedule a discussion with David Burianek and the Medorion team. About Bright Spots Ventures: Bright Spots Ventures helps healthcare leaders separate signal from noise and accelerate the adoption of what works. We bring health plan, provider, and innovation leaders together through curated content and high-trust convenings to build meaningful relationships and turn insight into action. Explore our podcast at www.brightspotsinhealthcare.com.

How do you know if your app marketing is actually driving growth — or just generating activity? In this episode, we speak with Dane Buchanan, Global Chief Data & Analytics Officer at M+C Saatchi Performance, about one of the most misunderstood topics in app growth: measurement. Dane explains why clicks and impressions don't tell the full story, why incrementality matters more than correlation, and how brands often underestimate their real ROI by ignoring offline impact. He also shares a case study where better measurement revealed that media ROI was actually three times higher than previously reported — changing the company's investment strategy entirely. Today's topics include: Why traditional media metrics fail to show true business impact What incrementality really means in app marketing The gap between online measurement and offline revenue A real-world case study showing 3× higher ROI Designing measurement systems that work in a privacy-first ecosystem Links and Resources: Dane Buchanan on LinkedIn M+C Saatchi Performance Business Of Apps - connecting the app industry Quotes from Dane Buchanan “In one line, incrementality is what wouldn't have happened without the media.” “The issue with digital attribution and clicks and impressions is that it doesn't truly show growth.” “If you're only measuring online sales and ignoring offline revenue, you're not seeing the full impact of your media — and that can lead to significant underinvestment” Host Business Of Apps - connecting the app industry since 2012

Large language models have dominated the AI conversation — but are small language models (SLMs) actually the future?In this episode of TechFirst, host John Koetsier sits down with Andy Markus, SVP & Chief Data and AI Officer at AT&T, to unpack how small language models are delivering enterprise-grade accuracy at a fraction of the cost and latency of massive LLMs.Andy explains how AT&T uses SLMs for:• Contract analysis at massive scale• Network analytics and outage root-cause analysis • Fraud detection and enterprise knowledge systems• AI-driven “field coding” and agent-based workflowsThey also dive into the rise of agentic AI, how structured “archetypes” replace risky vibe coding, and why the future of software development may be humans supervising autonomous AI systems rather than writing every line of code.If you're building AI for real-world, high-scale use cases — especially in enterprise environments — this conversation is essential.⸻GuestAndy MarkusSVP & Chief Data and AI Officer, AT&TFormer SVP at Time Warner Media⸻

In this episode, Craig Kurtzweil, Chief Data and Analytics Officer for UnitedHealthcare's commercial business, shares insights from UnitedHealthcare's latest employer health trends report, including rising costs among younger workers, more frequent catastrophic claims, and growing metabolic risks. He discusses how data driven strategies can help employers better target engagement, prevention, and affordability.

In this episode, Craig Kurtzweil, Chief Data and Analytics Officer for UnitedHealthcare's commercial business, shares insights from UnitedHealthcare's latest employer health trends report, including rising costs among younger workers, more frequent catastrophic claims, and growing metabolic risks. He discusses how data driven strategies can help employers better target engagement, prevention, and affordability.

Today on the Driven by Data Dilemmas Show, host Catherine Dowden-King is joined by Zachery Anderson, Former CDAO for NatWest Group. In this episode, they discuss how, for many people, the data work is great, but it's the people that suck. From nightmare managers who make you want to scream into a pillow, to everything now being branded AI. Zachery gives his takes on our dilemmas and shares some of his personal experiences of where people have sucked!Remember, you can send your own dilemmas to community@orbitiongroup.com, and Catherine will gladly read them to our expert guests to answer and provide their own insight on.Driven by Data Dilemmas is the spin-off show from the Driven by Data Podcast! Catherine Dowden-King is joined by some of our best-loved senior leaders in the data, analytics and AI space to ask them to share their experiences, advice and thoughts on data dilemmas.

Your product data wasn't built for AI agents. Here's why that's a problem. In the latest episode of RETHINK Retail's award-winning AiR (AI in Retail) podcast series, host Jamie Tenser sits down with @Anne-Claire Baschet, Chief Data & AI Officer at @Mirakl and a Top AI Leader recognized by RETHINK Retail, to explore the seismic shift happening in retail discovery right now. Anne-Claire brings a rare combination of deep technical expertise and strategic vision, from her roots as a Data Scientist at AXA to leading e-commerce platforms at Aramis Group, and now driving AI innovation at Mirakl. As a recognized leader in the AI retail space, she's at the forefront of what she calls the "agentic era" in commerce. The reality check: • 53 million shopping queries happen daily on ChatGPT alone • 60% of shoppers now use AI in their shopping journey • Traditional keyword optimization? It's no longer enough What retailers must do now: ✓ Product data & API infrastructure – Make your catalog AI-responsive, not just mobile-responsive ✓ Brand content & social proof – Build trust signals that AI agents recognize ✓ Pricing transparency – Show the real price (product + promo + tax + shipping) ✓ Fulfillment capabilities – Accurate stock and delivery promises matter more than ever ✓ Performance tracking – Test, learn, and optimize for agentic channels Anne-Claire's advice for 2026? "Experiment. The ones who win are going to be those whose products AI can actually find, understand, and recommend."

Today's guest is Ylan Kazi, Chief Data and AI Officer, Blue Cross Blue Shield of North Dakota. Ylan joins Emerj Client Narrative & Content Strategy Lead Nick Gertsch to explore balancing AI innovation with risk governance in regulated healthcare sectors. Ylan also shares practical takeaways like forming cross-functional teams for realistic policy development, applying an AI Hippocratic Oath by starting with low-risk use cases to refine processes, and leveraging AI to improve patient experiences through lab result explanations and wait time predictions. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Agencies are implementing AI in different ways, from developing internal tools to buying off-the-shelf solutions. At Space Force, Chief Data and Artificial Intelligence Officer Chandra Donelson and AI Innovation Lead Oliver Tannheiser told AI GovCast that they are using innovative strategies to bring AI to Guardians. Flywheel Award winner Tannheiser said that Space Force is using GPT systems to give Guardians access to 33 different large language models, allowing them access to different ways to solve problems using AI. Donelson added that Space Force is shifting its AI adoption mindset to identify specific problems faced by Guardians and working backward to find the right tool. Tannheiser also noted that the Space Force AI Challenge is bringing innovation to Guardians. One recent success is Polaris, an AI tool designed to help families navigate the stressors of Permanent Change of Station by finding childcare and base information.  

1045: AI is no longer a side experiment—it's a core capability. But are your people, partnerships, and governance models ready for it? In this special Metis Strategy Summit panel episode, three seasoned technology leaders explore what it really takes to build trust, scale talent, and lead responsibly in the age of AI: Paul Ballew, Chief Data & Analytics Officer, National Football League Lakshman Nathan, EVP & CIO, Paramount Mark Sherwood, EVP & CIO, Wolters Kluwer Moderated by Peter High, the conversation dives into transformation through the lens of distributed governance, workforce readiness, and the human element behind every AI ambition. Key themes from the panel include: How the NFL's “One-to-One” fan engagement model blends personalization and privacy What happens when $2B in savings depends on department-level AI strategy (Paramount) Why “value realization” starts with your CFO and ends with trust (Wolters Kluwer) The limits of centralization—and why distributed innovation may win out How to balance Copilot rollouts with responsible AI guardrails

This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to⁠ outcomesrocket.com Clean, connected data is becoming the foundation for real progress in patient access, affordability, and care delivery. In this episode, Lynne Nowak, Chief Data and Analytics Officer at Surescripts, shares how her team is using data, automation, and emerging technologies to remove friction across the healthcare system. She explains how greater interoperability improves information flow among providers, payers, pharmacies, and patients, especially benefiting underserved populations. Lynne details how her organization evaluates AI by focusing on its real-world impact, utilizing it for high-value tasks such as reviewing complex medical records for prior authorizations and digitizing benefit verification. She also highlights new insights such as “first-fill abandonment” and previews upcoming work in adherence analytics, price transparency, and direct-to-patient capabilities. Tune in and discover how smarter data, automation, and real-time insights are transforming access, adherence, and the patient experience across the care continuum. Resources Connect with and follow Lynne Nowak on LinkedIn. Follow Superscripts on LinkedIn and visit their website!

Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I discuss why culture, mindset, and leadership matter just as much as technology in driving AI transformation, based off my conversation with Will Grannis, CTO, Google Cloud. Highlights00:30 — Will has been the Chief Technology Officer at Google Cloud, one of the world's most advanced technology companies, for almost a decade. So Will's perspectives on things are pretty powerful, especially in this notion of how corporations unlock the power of AI to drive great outcomes for those companies and their customers or their patients or their stakeholders.01:10 — One of the first things that Will talked about is the big AI unlock. He said you've got to start with thinking about putting the customer at the center of everything, and then build back, build out from there. So reverse-engineer what has to change inside the organization to ensure that the customer outcomes, the customer experience, the customer value, are at the center.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 02:27 — He talked a lot about the mindset. One customer example was recently BNY Mellon. BNY Mellon has added Gemini Enterprise for its Eliza AI platform, and that is being used now. The Chief Data and AI Officer at BNY Mellon said our AI strategy in the company is simple. He said it's AI for everyone, AI everywhere, and AI for everything.03:19 — He said this is something that's enabled them now to do more things for their customers. It allows their internal people to be much more productive, be more expansive in their analysis, so that they can provide greater value to their customers. Will said it's been a huge change at the company.04:06 — So again, I hope you have a chance to check out the whole interview with Will Grannis, the Chief Technology Officer at Google Cloud. You can see it in the links here. Will's a terrific guy. One of the things you'll see here is he offers some pretty honest and candid assessments about challenges he himself has faced as the CTO at Google Cloud, and very candidly explains how he got around those. Visit Cloud Wars for more.

In this episode of The Retail Perch, Shekar Raman is joined by Zoher Karu to discuss data, analytics, and what it takes to make information truly actionable. Zoher shares his journey from earning a PhD in Electrical Engineering at MIT to building a career focused on customer data and enterprise wide analytics, including his role as VP and Chief Data and Analytics Officer at Blue Shield of California. They explore how companies with growing data sets can approach leveraging them effectively, and Zoher also highlights his current work with Taelor.Style, an AI powered menswear rental platform.

About Lynne Nowak:Lynne Nowak, MD, is a seasoned physician executive and Chief Data and Analytics Officer with deep expertise at the intersection of clinical care, data, and technology. With 15 years of frontline experience as a board-certified internist and a decade leading large-scale data, interoperability, and clinical strategy initiatives, she has built a career transforming how information improves healthcare quality, access, and cost. She has overseen major enterprise investments, driven compliance with national interoperability standards, led advanced analytics and product development teams, and guided provider-focused digital solutions across complex organizations. Known for her high-energy, collaborative leadership style, she is committed to fixing a fragmented healthcare system while empowering patients, providers, and payers through smarter, connected data.Things You'll Learn:Interoperability between providers, payers, pharmacies, and patients is becoming a powerful driver of access and outcomes. When information flows cleanly, underserved communities benefit the most.AI is only valuable when applied to problems that require deeper analysis, not simple workflows. The real gains come from using AI to handle complex record reviews while leaving simpler tasks to traditional automation.First-fill abandonment affects 20–30% of prescriptions, and most systems fail to notice because no claim is generated. Having visibility into these “silent failures” allows clinicians and plans to intervene earlier.Electronic benefit verification replaces days of manual phone calls with instant eligibility checks for patient assistance programs. This significantly reduces friction for patients attempting to initiate therapy.Automating prior authorizations can cut decision times from days to under 30 seconds. That speed directly affects access, adherence, and overall patient health.Resources:Connect with and follow Lynne Nowak on LinkedIn.Follow Superscripts on LinkedIn and visit their website.

GivingTuesday isn't just a giving day—it's a catalyst to transform your individual giving year-round. Are you making the most of it? Woodrow Rosenbaum, Chief Data Officer of GivingTuesday, and Carrie Cobb, Chief Data and AI Officer of Blackbaud, discuss the collaborative, special report from the Blackbaud Institute and GivingTuesday. They dive deep into new data and strategies, like:

Episode OverviewIn Episode 88 of CDO Matters, Malcolm Hawker sits down with Rebecca O'Kill, Chief Data and Analytics Officer at Axis Capital, for a masterclass in pragmatic data leadership. Together they explore how to evolve a data and analytics operating model for a future defined by AI, adaptability, and relentless business alignment.Rebecca shares how her team turned skeptics into allies by embedding governance into delivery, prioritizing value over frameworks, and embracing a true growth mindset — one built on experimentation, agility, and continuous learning.Episode Links and ResourcesFollow Malcolm Hawker on LinkedinFollow Rebecca O'Kill on Linkedin

On this episode, Richard Clarke, Chief Data and Analytics Officer and Board Member at Highmark Health, joins the podcast to discuss creating meaningful innovation and impact through AI. He dives into the concept of agentic AI and how it's shaping the future of healthcare delivery. Richard also offers advice for emerging leaders on building resilient organizations that can thrive amid rapid technological change.

This episode captures Walid Mehanna's perspective on how Merck KGaA has approached enterprise AI adoption through a federated strategy that prioritizes people over technology. The core message is that successful AI implementation requires building organizational capability across three dimensions - people, processes, and technology - rather than seeking a single transformative solution. Walid argues that companies must establish a broad foundation of AI literacy (exemplified by their internal MyGPT tool reaching 25,000 users) before pursuing specialized applications, while maintaining human accountability to prevent complacency. He emphasizes that AI works best when it's treated as an experimental, iterative capability distributed across the organization rather than controlled centrally, with success depending on persistence through the inevitable J-curve of initial productivity drops. The conversation reveals how a large multinational navigates the practical realities of AI deployment - from managing regulatory complexity across different geographies to making pragmatic build-versus-buy decisions - while maintaining focus on the fundamental principle that AI should augment human expertise rather than replace human judgment and responsibility. (0:00) Intro(0:29) How AI is Used at Merck(2:18) AI Applications Across the Value Chain(4:31) Challenges and Risks of AI Implementation(5:35) Federated Approach to AI Prioritization(6:44) Future AI Use Cases and Data Challenges(10:38) Building and Partnering for AI Solutions(15:11) AI in Drug Discovery and R&D(26:47) Quickfire Out-Of-Pocket: https://www.outofpocket.health/

Ashok Chennuru, Chief Data & Digital Transformation Officer at Elevance Health, discusses proactive care and strategies to enhance the customer experience. He highlights the importance of human-centered healthcare, personalizing experiences through AI, and offers advice for emerging leaders navigating the future of health transformation.

This episode features Kiran Mysore, Chief Data & Analytics Officer at Sutter Health, who shares how his team is using AI and data-driven strategies to improve patient access, support clinicians, and drive organizational growth. He highlights real-world examples of AI in diagnostics, workflow efficiency, and digital care, while outlining Sutter's vision for future expansion and innovation.

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 Hosted on Acast. See acast.com/privacy for more 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