Podcasts about data strategy

In our latest senior leader interview, Craig is joined by Emel Morris, CIO at Central Bedfordshire Council.Emel shares her journey from corporate communications into IT leadership and the skills that helped her transition into the role. She also outlines why today's CIO must focus on stakeholder engagement, change, and aligning technology to real service outcomes.Craig and Emel also discuss pressures on public sector services, cyber security, AI alongside the importance of inclusion and Women in SAP.To learn more about the UKISUG referral scheme, visit: https://www.sapusers.org/community-referral-scheme

Guests: Tim Kreytak, CEO and Co-Founder of Ironside, one of North America's leading analytics and data consulting firms and a multiple Inc. 5000 honoree. Jason Breazeale, Vice President of Technology at Burn Boot Camp, a rapidly growing fitness franchise with nearly 400 locations. Overview: Yes, your company needs to be using AI. But before you start buying subscriptions and upgrading your tech stack, you need to understand what actually drives successful AI integrations: a bedrock of solid data. Without clean, accessible, and trusted data, even the most advanced AI tools will fail to deliver results. On today's show, Tim Kreytak and Jason Breazeale discuss why you need BIG data mastery before AI can help your company Make BIG Happen.

Matt Ober is a Managing Partner at Social Leverage, an early stage venture capital firm focused on investing in fintech and enterprise SaaS. The firm is best well know for being early investors in Robinhood, Etoro, Alpaca, & Kustomer which was acquired by Meta. Mat was most recently the Chief Data Scientist at Third Point. Prior to joining Third Point, Matt was the Head of Data Strategy at WorldQuant and part of the WorldQuant Ventures founding team focused on private investments in fintech, data, and technology companies. Matt is the founder of InitialDataOffering.com which is the largest community of data buyers and data vendors. Matt holds a Chartered Alternative Investment Analyst (CAIA) designation and sits on the board of governors for his alma mater, California State University Chico. In this conversation, we discuss:- Identifying trends - Prediction Markets allowing people to monetize their niche - The degenerate economy & financial nihilism - Never been a better time to build a business - Tokenization of all assets - Stablecoins - Consumption-based data models - Early-stage investing - How wealth management technology is changing - How AI is influencing all startups Social LeverageX: @SocialLeverageWebsite: www.socialleverage.comLinkedIn: Social LeverageMatt OberX: @obermattjLinkedIn: Matt Ober---------------------------------------------------------------------------------This episode is brought to you by PrimeXBT.PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.  PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50FollowApple PodcastsSpotifyAmazon MusicRSS Feed

Business Intelligence scheitert selten an Tools – sondern an fehlender Klarheit über Rollen, Verantwortung und Zusammenarbeit. In dieser Episode von TDWI Data Universe spricht Mirjam Cohrs (Director Group BI & Data Strategy, Bilfinger SE) über die Rolle von Business Intelligence Competence Centern (BICC) und warum BI häufig „zwischen den Stühlen“ landet. Mirjam zeigt, wie ein BICC dann wirksam wird, wenn es als strategisches Bindeglied zwischen Fachbereichen, IT und Management agiert: mit klarer Vision, Governance und einem Gesamtüberblick über laufende und geplante Initiativen. Dabei geht es nicht um Zentralisierung um jeden Preis, sondern um ein bewusstes Zusammenspiel: zentrale, geprüfte Datenbasis – kombiniert mit dezentraler fachlicher Logik. Ein zentrales Thema ist der Umgang mit Schattenreporting, das oft aus gut gemeintem Self Service entsteht. Statt Daten-Downloads und paralleler Eigenlösungen setzt Group BI auf geprüfte Daten aus den ERP-Systemen, bereitgestellt über eine zentrale Plattform. Eine Episode über BI als Stabsfunktion, über Verantwortung statt Silos – und darüber, wie Datenorganisation echte Entscheidungsfähigkeit ermöglicht.

Mathias is Head of Data for Marketing at N26, the Berlin-based neobank valued at over $9 billion. He joined as a Senior Data Analyst in May 2020 and has since scaled the team to 12 people.We cover :

This conversation features a thoughtful discussion between Nathan and Kelley Hecht on how nonprofits can use AI in practical, responsible ways.  Nathan introduces Kelley and highlights her work at AWS, where she helps nonprofit organizations adopt cloud technology and AI with a strong focus on data, security, and ethics. Kelley shares her journey into AI, explaining how early confusion helped her understand the gap between hype and reality. Together, they explore common misperceptions about AI, stressing that it is not about tools alone, but about clear goals, good data, and strong decision-making.   The conversation emphasizes data as a strategic asset and introduces Amazon's "working backwards" approach to solving problems. Nathan and Kelley also discuss challenges faced by both small and large nonprofits, the importance of leadership support, and the role of culture in AI adoption. They conclude by reinforcing that AI should strengthen human connection, not replace it.    HIGHLIGHTS  [02:22] Kelley's Role and Contributions to Nonprofit AI  [07:04] Challenges and Misperceptions in AI Adoption   [12:11] AI's Role in Nonprofit Ecosystems   [15:00] Data Strategy and AI Integration   [20:52] Working Backwards: Starting With the Why  [24:16] Moving Beyond "AI as the Answer"  [32:59] Data as the Lifeblood of the Organization  [41:45] Future of AI in Nonprofit Sector   Connect with Kelley:  LinkedIn: linkedin.com/in/kelleyhecht  Connect with Nathan and Scott:  LinkedIn (Nathan): ⁠⁠linkedin.com/in/nathanchappell/⁠⁠  LinkedIn (Scott): ⁠⁠linkedin.com/in/scott-rosenkrans⁠⁠  Website: ⁠⁠fundraising.ai/⁠⁠ 

José Meroño es Director AI & Data Strategy en el Grupo Adecco España. Con más de dos décadas de experiencia en liderazgo organizativo, desarrollo de negocio y gestión del talento, está al frente de iniciativas clave para modernizar los procesos internos del grupo, apostando por la eficiencia, la digitalización y la innovación. Desde su posición, impulsa activamente la integración de inteligencia artificial en la gestión del talento y los procesos de recursos humanos, con el objetivo de crear organizaciones más ágiles, centradas en las personas y preparadas para el futuro del trabajo.

Collecting and analyzing student data and then acting on any findings to support student success is a struggle for many institutions. Often data is in the wrong format, inaccessible to the right teams or there are so many analytics colleges don't know where to start. Many administrators also lack the data literacy needed to make accurate, data-informed decisions. In this episode, we're sharing a discussion Inside Higher Ed Editor in Chief Sara Custer had with higher ed leaders at IHE's Student Success 2025 event. Courtney Brown, vice-president of strategic impact and planning at the Lumina Foundation, Elliot Felix, the higher education advisory practice lead at Buro Happold and Mark Milliron the president of National University bring unique experiences and perspectives to the question of how institutions can be data-driven and student centered. This episode is sponsored by the Gates Foundation.

Was braucht es, um eine datengetriebene Organisation wirklich zu bauen – nicht nur als Buzzword? In dieser Folge spricht Jonas Rashedi mit Marc Roulet von sevDesk, VP Data & Analytics, über den Weg zu echter Data-DNA. Marc berichtet, wie er bei sevDesk eine zentrale Data-Organisation mit über 20 Mitarbeitenden aufgebaut hat, wie Analytics, Engineering und Data Science eng verzahnt zusammenarbeiten – und welche sechs strategischen Säulen sie dafür definiert haben: von Infrastruktur über Insights bis Literacy. Besonders spannend: Wie sich die Rolle verändert hat – von einer Finance-getriebenen Supportfunktion hin zur CEO-nahen Strategieinstanz. Und was passiert, wenn man einfach mal zwei Data Lakes zu viel hat… MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Du möchtest gezielt Werbung im Podcast MY DATA IS BETTER THAN YOURS schalten? Zum Kontaktformular: https://2frg6t.share-eu1.hsforms.com/2ugV0DR-wTX-mVZrX6BWtxg Zum LinkedIn-Profil von Marc: https://www.linkedin.com/in/marc-roulet-data/ Zur Homepage von sevdesk: https://sevdesk.de/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00 Vorstellung & Einstieg 06:00 Von eBay zu sevDesk – Marcs Werdegang 12:00 Was macht sevDesk & wie datengetrieben ist das Produkt? 20:00 Data-Strategie: 6 Säulen für die DNA 28:00 Kultur, Matrix & Teamaufbau 36:00 AI, Data Literacy & MLOps 44:00 Reporting, KPIs & Managementstruktur 52:00 Data Circle & Zusammenarbeit in der Breite

„Ich kann jetzt keine Datenkultur aufbauen, die der Unternehmenskultur entgegenwirkt.“

For Steve Dennis and Michael LeBlanc's final episode recorded live at the CommerceNext Growth show, they welcome two visionary leaders from Tapestry, the global house of brands that includes Coach and Kate Spade: Pooja Chandiramani, VP Global Media Strategy & Planning, Marketing Analytics, Operations and Transformation, and Avinash Kaushik, Brand Strategy & Marketing Transformation.Pooja and Avinash unpack Tapestry's ongoing transformation, which embeds analytics as a core pillar of brand growth. For Coach in particular, analytics isn't just incremental—it's a complete transformation journey. By using data to generate insights that directly drive business impact, Tapestry ensures marketing investments are accountable, measurable, and tied to outcomes.Avinash, a globally recognized thought leader and author, explains how Tapestry embraces intent-centric marketing to connect authentically with consumers. Moving beyond the outdated “accessible luxury” positioning, the company has shifted toward "expressive luxury"—a modern framework that reflects values-driven, authentic consumer engagement, particularly resonant with younger audiences.The conversation dives into the cultural foundations necessary for analytics to thrive. Avinash emphasizes that “culture is more important than data,” crediting Tapestry's CEO Joanne Crevoiserat and senior leadership for creating an environment where data can challenge assumptions and guide decisions. This culture enables bold experiments, including measuring the incrementality of brand marketing—one of the toughest questions in retail.Pooja highlights how creative pre-testing has become a critical unlock. By partnering with Human Made Machine, Tapestry tests campaigns with real audiences before investing media spend. This approach ensures that creative—responsible for up to 70% of marketing impact—delivers measurable results in driving brand awareness and incremental sales. It's a cultural shift, moving from subjective opinions about creative to decisions grounded in data.The episode also explores the role of AI and machine learning in accelerating agility, simplifying decision-making frameworks, and enabling global scalability. Both leaders stress that outcomes-based planning—rather than activity-based planning—keeps Tapestry aligned with its ambitious growth goals.  About UsJennifer MarloHead of Content, CommerceNextJennifer Marlo drives industry-leading programming at CommerceNext, drawing on experience from Ascendant Network and iMedia Connection, where she spearheaded content strategies to inspire retail, brand and agency marketing leaders. Guided by the belief that “a rising tide lifts all boats,” Jennifer uses in-person and digital platforms to educate and foster industry collaboration. Steve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling authro of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, top retail influencer, keynote speaker and media entrepreneur. Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.

As AI becomes a central pillar of business decision-making, enterprises face a new challenge, and that is making their data AI-ready. It's no longer enough to collect and digitise information. For organisations, data must be structured, contextualised, discoverable, and usable—both by humans and intelligent systems.AI can only deliver if your data is truly ready, but most enterprises are drowning in fragmented, incomplete, or slow-to-update data. In this episode of Don't Panic, It's Just Data, host Doug Laney and Sushant Rai, Vice President of Product of AI and Data Strategy at Relito, explore how modern data unification strategies are changing enterprises, enabling AI to deliver faster, more reliable insights. They focus on the shift from traditional Master Data Management (MDM) to next-generation AI-ready data cores, uncovering the risks of fragmented data and the strategies to overcome them.Why AI-Ready Data MattersAI, especially large language models (LLMs), is changing how people interact with data. Analysts, executives, and frontline teams now expect natural language queries and instant, actionable insights.Sushant explains:"AI performs at its best when it has full context, empowered with the right data. This allows AI agents to make decisions and take actions on behalf of your business."When you embed intelligence into your data layer, AI can help you manage and scale your data without drowning your teams in manual work. This will only work if your data is structured, clean, governed, and constantly updated, everything that makes it truly AI-ready.The Data Scale ChallengeThe volume of data being turned over daily is staggering. As Sushant notes:"The amount of data getting generated every single day is so massive that there's no way to keep up without AI. Even the largest organizations, with massive data stewardship teams, can't catch up manually."This gap is driving the change in the modern data platforms, where AI automates stewardship, enriches data continuously, detects anomalies, and maintains quality in real time.Want to learn more about modern data unification and AI-ready platforms? Visit Reltio.com for insights, resources, and case studies.TakeawaysData unification provides a trusted, real-time view of key business elements.Organizations must balance speed and trust in data management.Classic MDM is evolving into modern data unification platforms.Real-time data access is crucial for AI and analytics.AI can enhance data quality and governance processes.Successful data initiatives require clear business outcomes and ownership.Data unification should be viewed as a business platform, not just an IT project.AI agents will play a significant role in automating data governance.Organizations need to focus on both structured and unstructured data.The future of data management involves continuous unification and...

Send us a textGuest: Prasanth Chilukuri, Co-Founder & Managing Partner at Soul Street Ventures -- The biggest threat to early-stage SaaS growth isn't competition. It's founder distraction, unfocused GTM motions, and chasing quick wins instead of building a real business.In this episode, Prasanth Chilukuri, co-founder and managing partner of Soul Street Ventures, joins host Ken Lempit to reveal why most early-stage SaaS companies struggle long before product issues surface — and how disciplined strategy, a tight ICP, and hands-on founder coaching unlock meaningful, scalable traction.Drawing on his experience both as a SaaS founder (Tekmetric) and investor, Prasanth explains why “scale with soul” isn't just a mantra, but a framework for building durable companies that don't rely on hype, vanity channels, or coast-driven valuation games.Key takeaways from this episode:Why misaligned ICPs and GTM distractions quietly stall early-stage SaaSHow to test, retest, and refine GTM motions using real customer behaviorWhy AI discoverability is reshaping marketing efficiency (and what to do about it)How venture style differs across regions — and why it matters for foundersWhy founder coachability, discipline, and mindset are the strongest predictors of growthHow unique SaaS data assets create new value (and why most companies underuse them)If you're a B2B SaaS founder, CRO, or CMO navigating early-stage go-to-market, evaluating AI's impact on your product, or preparing for institutional capital, this episode offers a practical, grounded playbook for building a company that truly lasts.---Not Getting Enough Demos? Your messaging could be turning buyers away before you even get a chance to pitch.

In this special Cloud Wars report, Bob Evans sits down with Michael Ameling, President and Chief Product Officer of SAP Business Technology Platform, for a deep dive into how SAP is helping customers navigate the fast-moving AI Era. Ameling and Evans discuss how SAP's Business Data Cloud, partnerships with Snowflake and Databricks, HANA Cloud innovations, and new AI-powered tools and agents are helping SAP evolve from an applications powerhouse into a data-and-AI-driven business platform for the next generation.SAP's AI Data FutureThe Big Themes:SAP HANA Cloud Becomes an AI-Optimized Database: SAP HANA Cloud is evolving into “the database AI was looking for." As a multi-model system supporting spatial, graph, vector, and document storage, HANA Cloud enables AI workloads to run more efficiently and contextually. Recent additions, like vector engines and Knowledge Graph capabilities, give customers powerful tools for retrieval-augmented generation (RAG), contextual reasoning, and advanced analytics.Developers Are 'The AI Revolution': Developers aren't observing the AI Revolution, they are the revolution. With modern AI tools, developers can innovate faster, solve bigger problems, and directly influence business outcomes. SAP is investing heavily in meeting developers where they are by enhancing IDEs, building business-aware development tools, and providing context-rich assets such as APIs, business objects, and process insights. AI acts as a teammate, not a replacement.SAP: An Applications and a Data Company: SAP must be both an applications and a data company. Customer value emerges when applications, data, and AI converge seamlessly. SAP's decades of industry expertise give it unparalleled business context, which becomes even more powerful when embedded into AI agents and data platforms. With more than 34,000 SAP HANA Cloud customers and rapidly expanding AI adoption, SAP is positioning itself as the platform where business process knowledge meets modern AI capability.The Big Quote: " . . what we need to understand that AI is our teammate. It's like asking your best friend who has a lot of knowledge, but you can ask multiple friends at the same time. Not everything is always right, but you can ask questions, you can continuously improve. If we understand that pattern, we understand that AI helps us to solve much bigger problems as a developer, and then, of course, having much more impact on real business."More from Michael Ameling and SAP:Connect with Michael Ameling on LinkedIn, or get more insights from SAP TechEd.  Visit Cloud Wars for more.

The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to unpack why the gap exists between AI hype and actual impact, and what it takes to make AI scale, explainable, and ROI-driven.From the shift toward “AI with ROI” to the new era of human + AI systems and data quality challenges, Sumeet shares how leading enterprises are moving from flashy demos to measurable value and trust in the next phase of AI. CHAPTER MARKERS00:00 The AI Hackathon Era03:10 Hype vs Reality in Agentic AI06:05 Redesigning the Human AI Interface09:15 From Demos to Real Economic Outcomes12:20 Why Scaling AI Still Fails15:05 The Importance of AI Ready Knowledge18:10 Data Quality and the Biggest Bottleneck20:46 Building the Customer 360 Knowledge Layer23:35 Push vs Pull Systems in Modern AI26:15 Rethinking Enterprise Workflows29:20 AI Agents and Outcome Driven Design32:45 Where Agentic AI Works Today36:10 What Enterprises Still Get Wrong39:30 How AI Changes Engineering Priorities55:49 The Future of GPUs and Efficiency Challenges -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Decoding Shopify's Strategic Shift: What It Means for MerchantsIn Gartner's recent Magic Quadrant, Shopify has gained significantly in Execution and Vision. Whilst analyst reports shouldn't be seen as definitive, what's interesting is charting Shopify's fast ascent from challenger to leader.In this podcast, James & Paul look at the key strategic developments in 2025 that have fuelled this shift, and explore what they reveal about Shopify's direction of travel, as well as the implications for ecommerce teams.As Shopify continues to solidify its position as a market leader, understanding its strategic direction is crucial for businesses looking to leverage the platform effectively, as well as deciding if it's the right platform to bet on.What you'll get from the pod:Insightful analysis: get a deeper understanding of Shopify's strategic moves and how they impact the ecommerce landscape. Expert opinion: hear from industry experts as they dissect Shopify's latest initiatives. Actionable takeaways: discover practical insights that can help you leverage Shopify's capabilities.Key discussion points:AI and automation: Shopify's focus on AI capabilities aims to enhance automation and self-service, offering merchants new ways to streamline operations and improve customer experiences. Atlas AI store builder: empowers merchants to build stores with minimal developer support, expanding accessibility and innovation in store creation. Data strategy: Shopify's first-party data strategy is set to benefit advertising and customer insights, providing merchants with valuable data to drive decision-making. Payment focus: The integration with Lovable highlights Shopify's commitment to securing payment processes and enhancing brand awareness. Get James & Paul's informed perspective on how Shopify's strategic direction impacts your business.Key chapters:[00:30]- Introduction to Shopify's Strategy[03:30]- AI and Automation in Shopify[10:00]- Atlas AI Store Builder[16:00]- Shopify's Data Strategy[22:00]- Why Invest In Lovable?[28:00]- Omnichannel Experience

Leaders are under pressure to "do something with AI," but many end up making the same preventable mistakes that derail their data strategy before it starts. In this episode, Ashok sits down with David Cohen, founder of Superposition Strategy, to run a live workshop identifying the top five strategic missteps leaders make—and more importantly, how to avoid them. If you're leading or supporting a data or AI initiative, this episode is your tactical blueprint for getting it right. You'll hear David walk through an interactive exercise designed to prioritize problems and focus on high-impact solutions. Together, he and Ashok unpack real-world examples from highly regulated industries, debate the role of data as a profit center, and share facilitation tactics that help teams speak up and make better decisions. Whether you're drowning in stakeholder expectations or trying to build buy-in, you'll walk away with actionable strategies to make your AI and data efforts more resilient—and more effective. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... The 5 most common mistakes leaders make in AI and data strategy Why "no leadership buy-in" is the #1 killer of data initiatives The power of divergent thinking in early-stage problem framing What leaders get wrong about experimentation and timelines Real examples from healthcare, finance, and automotive sectors Why facilitation tools like silent brainstorming and dot voting matter How governance can unlock innovation—if you start early The hidden advantage small consultancies have with AI Using structured workshops to create shared understanding and focus Mentioned in this episode LEGO Build Together sets Ford Labs, 99P Labs, Capital One Labs (innovation labs examples) Facilitation techniques (dot voting, silent ideation, Roman voting) David's Linkedin: https://www.linkedin.com/in/davcohen06/ David's company: https://www.superpositionstrat.com/  Superposition's youtube channel: https://www.youtube.com/@Superpositionstrat Subscribe to the Convergence podcast wherever you get podcasts, including video episodes on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.  

Industrial Talk is onsite at SMRP 2025 and talking to Colin Morris, Sr. Director of Solution Consulting at MaintainX about "Mobile first asset management platform". Scott MacKenzie interviews Colin from MaintainX at the SMRP conference in Fort Worth, Texas. Colin discusses Maintain X's mobile-first platform, which integrates with various systems like SCADA, ERPs, and wireless sensors to enhance maintenance decisions and asset availability. The platform, which has a three-week implementation period, supports voice summaries to capture technician knowledge and offers a full web client. MaintainX recently raised funding to enhance AI and mobility features. Colin emphasizes the importance of data strategy and extensibility in modern maintenance practices. Listeners can learn more at gomaintainx.com. Action Items [ ] Reach out to Colin on LinkedIn or the maintain X website to learn more about the platform. Outline Introduction and Welcome to Industrial Talk Podcast Scott MacKenzie introduces the Industrial Talk podcast, sponsored by CAP Logistics, emphasizing the importance of 24/7 insights into supply chains.Scott MacKenzie welcomes listeners to the podcast, highlighting the SMRP conference in Fort Worth, Texas, and introduces Colin from MaintainX.Colin shares his experience of working with Maintain X for over two years and his background in the software industry, including his time at Rockwell Automation. Colin's Background and MaintainX's Funding Colin discusses his career journey, including his 10 years in the software business before joining MaintainX.Scott MacKenzie inquires about Colin's first SMRP experience, and Colin expresses his excitement and impressions of the conference.Colin explains MaintainX's recent funding round, which will enhance AI and mobility features, and improve the product's strength.Scott MacKenzie asks about MaintainX's strategic vision and priorities, focusing on AI and mobility. MaintainX's Features and Differentiation Colin elaborates on MaintainX's mobile-first application, which is designed for technicians and other business users.Scott MacKenzie asks how MaintainX differentiates itself from other solutions, and Colin emphasizes the platform's extensibility and connectivity.Colin explains MaintainX's ability to ingest information from various sources, including wireless sensors, SCADA, and ERPs, to improve maintenance decisions.Scott MacKenzie and Colin discuss the importance of bidirectional connectivity and API bridges to integrate with existing systems. Data Strategy and Implementation Colin highlights the importance of understanding data strategy and building integrations with other systems.MaintainX offers in-house integration teams and self-serve tools for customers to connect their systems.Colin discusses the challenges of OEE and the need for real-time analytics to improve asset availability.Scott MacKenzie inquires about the point of diminishing returns with data, and Colin explains the need to balance data collection with business impact. Implementation Period and Third-Party Solutions Colin explains MaintainX's average implementation period of three weeks, emphasizing outcome-based goals.MaintainX has a team of over 40 implementation consultants, most of whom are engineers, to ensure successful setups.Colin confirms that Maintain X supports third-party solutions, including vibration vendors, Ignition, Kepware, and industrial protocols like MQTT.MaintainX is an SAP partner and connects with Oracle and other...

1026: What if your company's data could become a public good and a competitive moat? Beaumont Vance, SVP of Data and AI at Paychex, shares how his team transforms payroll and HR data into real-time economic insight, powering everything from AI copilots to U.S. government response efforts. With 1 in 11 U.S. workers on the platform and 39 million client interactions annually, Paychex treats data as infrastructure.

Join Actualize Consulting's Senior Consultant, Dom Boyle, and Senior Manager Will Robertson as they dive into crafting a powerful data strategy within treasury organizations. They break down the full transformation journey from understanding why data strategy matters to implementing enterprise data lakes and ensuring robust data governance. Whether you're looking to centralize your financial data, improve decision-making, or explore AI applications in treasury, this Actualizing Success episode offers actionable insights to help you get started.Listen to learn more about:The fundamentals of data strategy and its importance for treasurySteps to validate existing data, build a minimum viable product (MVP), and design a comprehensive data schemaHow to consolidate systems and build a centralized enterprise data lakeKey roles and responsibilities in maintaining data governance, including data stewards and governance leadsInnovative AI and machine learning use cases, from predictive forecasting to payment anomaly detection and automated core data enrichmentThanks for listening to this episode of the Actualizing Success Podcast! We hope you enjoyed the discussion and will come back for more. In the meantime, don't forget to rate this episode and leave a review!   Get in touch with Actualize at www.actualizeconsulting.com     We'd love to hear from you! If you have any questions, comments, or would like to collaborate on a future episode, please contact us at podcast@actualizeconsulting.com.     

Black Friday is around the corner, and if your product-based clients aren't ready with their e-commerce marketing, it's not too late. Progress over perfection is the name of the game.In this episode, I'm joined by Business Strategist Carlyn Bushman to talk about e-commerce marketing, Shopify strategy, and how freelancers like you can confidently support product-based clients heading into Q4. We're breaking down what's actually working in today's noisy e-com world, like using Shopify data, SMS campaigns, and smart AI tools, so you can bring real strategy to your clients.Carlyn Bushman is the founder of Carlyn Bushman Consulting and the powerhouse behind POP Academy—a no-fluff, all-strategy learning hub for product-based business owners who want to scale smart and stay profitable. With a background in corporate leadership and deep expertise in business strategy, she's obsessed with helping founders ditch the guesswork, master their numbers, and finally build the business they've been dreaming about with practical tools, real talk, and data that actually drives growth.Listen to learn more about:How to use Shopify analytics and Sidekick AI to plan smarter Q4 promotionsWhy SMS marketing is outperforming email (and how to start small)Real talk on omni-channel marketing and what “being everywhere” actually meansTips for creating multiple day-of promos for Black Friday, Small Business Saturday, and Cyber MondayHow freelance marketers can support e-commerce clients with data-driven strategy and executionThis episode gives you the exact tools, talking points, and tactics to confidently show up for your product-based clients and turn their data into measurable sales growth.Sponsored by The Digital Marketer's Workgroup Are you already doing marketing work but need more clients and a stronger referral network? Join our tight-knit community of freelancers and get access to behind-the-scenes conversations, support, and troubleshooting that every solo marketer needs. Plus, you'll benefit from advanced trainings, networking opportunities, and exclusive job leads. Apply here!Links Mentioned in the Show: Grab Carlyn's FREE Grant Resource List here. Carlyn took care of the research, so you can focus on applying. Get access to grant opportunities up to $100,000 covering startup support, industry-specific capital, and opportunities for creatives, women-owned brands, and beyond. Grants are added weekly, so bookmark it and keep it on hand to reference all year long!Watch our video in Carlyn's Founder Series: Marketing That's Actually Working in 2025 with Emily ReaganThe Mom Test by Rob FitzpatrickConnect with Carlyn:Instagram: @carlynbushmanconsulting Facebook: CMB BrandsWebsite:

In this episode of the Thread Podcast, host Justin Vandehey sits down with Max Mozes, Director of Revenue Operations at Walmart for Business, to unpack what it takes to build a world-class B2B motion inside one of the world's largest retail organizations.Before joining Walmart, Max carried a quota as a seller, scaled local business teams at LevelUp (acquired by Grubhub for $400M), and held key operational roles at Amazon Business — giving him a unique perspective on how to connect frontline sales experience with scalable systems and data strategy.Together, Justin and Max dive into:The evolution of RevOps from sales enablement to strategic business architectureHow Walmart is redefining B2B commerce for 30+ million potential business customersWhat RevOps looks like when you're serving both local bakeries and Fortune 500sThe art of structuring and prioritizing massive datasets across millions of prospectsWhy data enrichment and hierarchy matter more than just “more data”What's hype vs. what's real when it comes to AI and GTM automationAnd the soft skills that separate good operators from great ones: agency, resourcefulness, and ownership Key TakeawaysB2B at scale is an architecture problem. Data flows, enrichment, and prioritization define how sales teams actually execute.RevOps must translate complexity into clarity. The role is as much about storytelling as it is about systems.AI and data are only as powerful as the processes behind them. Automation should amplify human productivity, not replace it.Resourcefulness + Agency = Operator Superpowers. The best RevOps leaders identify problems, fix them, and bring solutions already in motion.Memorable Quotes“Every business in the U.S. is a potential Walmart customer — from a one-person bakery to a university with a $300M endowment.” “There's no sales team big enough to manually reach every account — so data prioritization becomes your growth strategy.” “RevOps isn't about the system you use. It's about how you organize information so sellers can take action.” “Agency and resourcefulness — that's the difference between operators who just report problems and those who drive change.”Chapters00:00 — Introduction: From Seller to RevOps Leader 02:00 — Lessons from LevelUp and Amazon Business 03:30 — Bridging Sales and Operations 05:00 — Inside Walmart for Business: Scaling B2B at Retail Scale 08:00 — Data Architecture, Enrichment, and Prioritization 11:00 — AI Hype vs. Reality in Enterprise RevOps 14:00 — Building Resourceful Teams and Taking Ownership 17:00 — Walmart for Business: Hiring and Next StepsResources & MentionsWalmart for Business — https://business.walmart.comGrubhub acquires LevelUp — $400M acquisition (TechCrunch, 2021)Max Mozes on LinkedIn — https://www.linkedin.com/in/maxwellmozes About the GuestMax Mozes is the Director of Revenue Operations at Walmart for Business, where he leads strategy, data, and process optimization for one of the largest B2B commerce initiatives in the U.S. His career spans sales and RevOps roles at Amazon, Grubhub/LevelUp, and high-growth startups, giving him a rare perspective on building go-to-market infrastructure from both startup scrappiness and enterprise scale.

In this episode, Emma sits down with Chris Rueckert, SVP of Commerce at Flywheel, to explore how shopper media is evolving and why it matters more than ever. Chris shares details on Flywheel's new shopper media offering, highlighting the importance of connecting data, strategy, and the in-store experience.Listen in to learn how we're helping brands bridge the gap between retail media and shopper marketing, and why a holistic, consumer-centric approach is key for driving sales. Interested in learning more about our Retail Insights AI assistant? Let's connect: https://www.flywheeldigital.com/contact-us

What's the most overlooked element in a successful DevOps strategy? According to Salesforce Architect and community leader Raksha Sanganee, it's culture.In this powerful episode of DevOps Diaries, Jack McCurdy sits down with Raksha to uncover her remarkable journey from a school finance officer to a respected DevOps consultant. She shares the invaluable lessons learned while training over 300 people in Salesforce for free and unpacks her core principles for transforming a team's software delivery lifecycle.Tune in to learn why "seeing is believing" is the key to overcoming client skepticism, how to build unbreakable trust, and why you should never, ever forget your backups!About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:00:00 Introduction to Raksha Her Journey04:23 Transitioning to Salesforce and Community Impact09:13 Understanding DevOps: Culture and Trust13:41 Common Mistakes in DevOps and Importance of Automation18:24 Building Trust with Clients and Overcoming Skepticism23:02 The Role of Training and Demos in DevOps27:29 Data Strategy and Best Practices in Salesforce32:00 The Importance of Community and Continuous Learning36:31 Parting Wisdom and Final Thoughts

Company background: "HSO is the second largest Microsoft partner in the globe," Holwagner reports. It focuses on industries including professional services, manufacturing, finance, and the public sector. HSO continues to grow not only with its traditional ERP services but also around cloud and AI services. "The mission here is really to improve our clients' business performance with the results of Microsoft solutions."AI's market impact: "It's definitely a transformation happening faster than anything I've seen before," Holwagner says. While there's already been significant advancements with AI, it's still only the beginning of what has yet to be built out and understood. He breaks down AI across four different roles:At the top level, boards and owners are pushing for areas of efficiency to stay competitive, reimagining the business model using AI.The next level is the CTO or an IT manager; they have efficiency demands, but they're also primarily thinking about how to contain information and data in a security model.The business leaders or department heads are being tasked to think about efficiency using AI but they're mostly busy keeping their engine going. They need tools that show them where to get ROI.The last level is HR, which might be considering where AI is filling in for various jobs.Perspectives for applying AI: HSO looks from a responsibility perspective in three different areas. First, it aims to educate customers on what's possible while also focusing on what's doable. Second is protection, which involves having control over your domain information. The third area is thinking about use cases for specific AI components.Organizational transformation: With the introduction of AI, there's a transformation happening across organizations in a variety of industries. AI has been thought of as a technical element when it needs to be included in functional conversation, especially for consulting businesses, Holwagner notes. Leaders and managers must understand the concepts of weaving in AI to give it value. AI transformation will likely lead to a "healthy reduction in certain areas" in the workforce, but "the transformation of what people are going to do in the organization is going to change." It will be more business logic transformation consulting and fewer hands-on the keyboard-related tasks, Holwagner shares.Summit NA: HSO will be attending Community Summit North America. You can connect with HSO at booth #209. The HSO team will be presenting several sessions throughout the event as well, including:The Latest D365 AI Agents and Features to Automate Your Supply Chain on Monday, October 20thDelivering a Scalable, Secure Data & AI Platform on Monday, October 20th3 Hidden Risks of AI in the Enterprise—and How to Manage Them Responsibly on Tuesday, October 21stSolving Customer Master Data Challenges for a 360° View in Dynamics 365 CE (CRM) and F/SCM (FO) on Wednesday, October 22nd Visit Cloud Wars for more.

Kellanova's pilot offers a blueprint for using data clean rooms to bridge gaps between brands and retailers, unlock deeper shopper insights and rebuild brand value amid inflationary pressure

The Information's Cory Weinberg talks with TITV Host Akash Pasricha about EA's $55 billion takeover and the private equity firms behind it. We also talk with Snowflake's Josh Klahr about the company's new consortium to end the AI data wars and The Information's Anissa Gardizy about why "fear" is fueling NVIDIA's spending spree. Lastly, we get into humanoid robots with Rodney Brooks, creator of the Roomba, who gives a reality check on their dexterity.Articles discussed on this episode:https://www.theinformation.com/articles/jensen-huang-using-nvidia-cash-rule-ai-economyTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

What does a banana have to do with data strategy? In this episode of the Chief Strategy Officer Podcast, we sit down with Claudio Finol, Chief Strategy Officer at Fyffes, one of the world's oldest and most recognized produce companies. Fyffes bananas, pineapples, and melons may be a familiar sight in your grocery store, but behind the scenes the company is navigating some of the most complex strategy challenges of our time—climate change, global supply chains, digitization, and the disruptive power of data. Claudio shares how Chief Strategy Officers across industries can learn from agriculture—a sector as old as civilization—about using data to push Michael Porter's productivity frontier, transform traditional business models, and even create new revenue streams. From John Deere's reinvention into a data-driven platform company to the strategic tension between optimizing your core and monetizing aggregated data, this conversation uncovers lessons every CSO should hear. Things We Will Cover in This Episode:- How Fyffes is blending tradition with transformation in the global produce industry. - Why data is no longer just supporting products—it is becoming the product. - Michael Porter's productivity frontier and its relevance in the AI era. - How companies like John Deere turned data into a competitive advantage and 95th-percentile growth engine. - The two strategic paths with data: optimizing the core vs. creating new data products. - What CSOs must do today to prepare their organizations for digitization, AI, and data-driven business models.  Why ListenIf you're a Chief Strategy Officer, innovation leader, or executive thinking about the future of business, Claudio's insights will challenge you to rethink what business you're really in. Whether you're managing physical products, digital platforms, or services, this episode shows how data strategy, AI readiness, and organizational culture can define the competitive frontier in the years ahead.  Learn more about Outthinker's community of chief strategy officers - https://outthinkernetwork.com/ Follow us on LinkedIn - https://www.linkedin.com/company/outthinker-networks

What does it really mean to future-proof financial data? That's the question at the heart of my conversation with George Rosenberger, General Manager of NYFIX at Broadridge. George has spent his career moving through every corner of the capital markets, from trading desks to broker-dealers, and now into the software side where he oversees order routing, post-trade matching, and the adoption of new AI tools. His perspective is uniquely positioned between the history of financial markets and their rapidly accelerating future. This discussion takes inspiration from Broadridge's fifth annual Digital Transformation and Next Gen Technology study, which collected insights from more than five hundred technology and operations leaders across financial services. The survey highlights both the progress and the pressure points facing the industry. Forty-one percent of leaders still cite data security as a major hurdle, and while cloud, AI, and cybersecurity dominate the technology stack, a third of firms still lack security built into their core systems. George explains why this gap persists, how legacy platforms complicate modernization, and what steps firms can take to extract value from old infrastructure while preparing for what's next. We also explore the irony that many organizations overestimate their digital maturity. Generative AI adoption has surged from forty to seventy-two percent in a year, but governance, compliance, and data quality concerns remain. George stresses the importance of measuring outcomes, not just intentions, and shares how Broadridge is approaching AI responsibly through initiatives like its Algo Copilot, which helps traders make sharper decisions. If you're curious about how financial services can strengthen cybersecurity, reduce technical debt, and rethink data strategy as a true engine of innovation, this episode offers both a candid reality check and a roadmap. The speed of change is staggering, but with the right strategy, leaders can build resilience and stay ahead in a digital-first world.

In this episode, we have a conversation with co-editors of a new book, published by Routledge, entitled, “Maximizing the Impact of Assessment in Higher Education: Closing the Loop with Change Management.” Our guests are Cindy Cogswell and Gavin Henning. Cindy is Director of Data Strategy at New York University. Gavin is Professor and Director of Higher Education Administration Graduate Programs, along with serving as Director of the Center for Innovation in Teaching, Learning, and Scholarship, at New England College. Link to publication referenced in this episode:Maximizing the Impact of Assessment in Higher Education: Closing the Loop with Change Management:https://www.routledge.com/Maximizing-the-Impact-of-Assessment-in-Higher-Education-Closing-the-Loop-with-Change-Management/Cogswell-Henning/p/book/9781032649085 This season of Leading Improvements in Higher Education is sponsored by the Center for Assessment and Research Studies at James Madison University; learn more at jmu.edu/assessment. Episode recorded: July 2025.  Host:  Stephen Hundley.  Producers:  Chad Beckner and Angela Bergman.  Original music:  Caleb Keith.  This award-winning podcast is a service of the Assessment Institute in Indianapolis; learn more go.iu.edu/assessmentinstitute. 

In this episode of Reboot IT, host Dave Coriale sits down with Ginger Ausloos, Vice President of Technology Solutions and Data Strategy at AACSB International, and Gretchen Steenstra, Director, Project Strategy and Leadership at DelCor, to explore the evolution from digital transformation to digital strategy. Ginger shares how her organization has embraced cloud-based systems, built a transparent IT culture, and developed a governance model that empowers business units. The conversation also dives into leadership styles, AI adoption, and the importance of aligning IT with organizational goals. Themes and Topics:Digital Strategy vs. Digital TransformationGinger emphasizes that it's time to move from digital transformation to governing and optimizing digital strategy.AACSB's digital strategy sits just below organizational strategy and guides tools, communication, and member engagement.Many associations still focus on transformation, but the real challenge is managing change in a cloud-based world.Leadership Through Transparency and PartnershipGinger uses a public-facing Monday board to share IT priorities and progress with the entire organization.Business units are involved in strategic planning, fostering collaboration and shared ownership.Her leadership style is described as “gentle maneuvers” rather than command and control.Best-of-Breed Technology and Integration StrategyAACSB avoids long-term vendor lock-in, preferring 3-year contracts and best-of-breed solutions.A centralized data warehouse enables flexible integrations and easier system replacements.The organization has decoupled its AMS from other systems to reduce disruption and increase agility.Governance and Change ManagementGinger highlights the importance of protocols for change to avoid chaos in a cloud environment.The IT Steering Committee, though currently paused, played a key role in prioritizing initiatives across departments.Change management is reframed as adoption and strategic communication, using digital strategy as the glue.AI Adoption and Organizational ReadinessGinger is pursuing a doctorate focused on AI and machine learning, but sees slow adoption at the organizational level.She warns that AI is being explored individually, not strategically, and leaders need to drive top-down initiatives.-ChatGPT-enhanced emails are not enough. Real transformation requires leadership engagement.Professional Development and Personal GrowthGinger is a Six Sigma Black Belt, beekeeper, and self-described professional development junkie.Her journey from receptionist to VP over 20 years reflects a deep commitment to learning and leadership.She encourages her team to keep moving forward: “If you're not moving forward, you're being left behind.”

In banking, every second matters. Fraud happens in milliseconds. Customers demand instant answers. And AI can only deliver value if it's powered by live, real-time data. Yet many banks are still relying on batch reports and outdated systems, making decisions based on yesterday's insights. The shift can't wait. Forrester predicts that by 2025, half of all businesses will use AI-powered self-service as their primary customer touchpoint. That future won't be possible without real-time data at the core. Banks that leverage streaming data will transform customer experiences, manage risks more efficiently, and unlock the full potential of AI. Those who don't risk being left behind. Today, I'm joined by Guillaume Aymé, CEO of Lenses.io and a leading voice on data innovation. Together, we'll explore why real-time data is becoming the lifeblood of modern banking, the hurdles institutions must overcome, and how to build the foundation for AI-driven success. This episode of Banking Transformed is sponsored by Lenses Lenses 6.0 is a Developer Experience designed to empower organizations to modernize applications and systems with real-time data autonomy. This is particularly crucial as AI adoption accelerates, and enterprises operate hundreds of Kafka clusters across multi-cloud environments. As the industry's first multi-Kafka developer experience, Lenses 6.0 allows teams to access, govern and process streaming data across any combination of Apache Kafka-based streaming platforms, from a single interface. https://lenses.io/

In this episode of the NASP Podcast, Sheila Arquette, President & CEO of the National Association of Specialty Pharmacy, sits down with Hillary Gretton, Director of Data Strategy at Claritas Rx. Together, they explore today's challenges in market access and patient journey analytics, and how Access Analytics is helping specialty pharmacies, payers, and partners tackle these barriers. The conversation highlights real-world use cases from Claritas Rx's recent whitepaper, From Prescription to Abandonment: How 31% of Specialty Medications Go Unfilled Across Therapeutic Areas, showing how better data can drive better outcomes.

Daniel M. Goldberg is the Partner and Chair of the Data Strategy, Privacy & Security Group at Frankfurt Kurnit Klein & Selz PC. He advises on a wide range of privacy, security, and AI matters. His expertise spans from handling high-stakes regulatory enforcement actions to shaping the application of privacy and AI laws. Earlier this year, the California Privacy Lawyers Association named him the "California Privacy Lawyer of the Year." In this episode… California is reshaping privacy compliance with its latest updates to the California Consumer Privacy Act (CCPA). These sweeping changes introduce new obligations for businesses operating in California, notably in the areas of Automated Decision-Making Technology (ADMT), cybersecurity audits, and risk assessments. So, what can companies do now to get ahead?  Companies can prepare by understanding the scope of the new rules and whether or not they apply to their business, as the regulations are set to take effect on October 1, 2025, if they are filed with the Secretary of State by August 31. If that filing happens later, the next effective date will shift to January 1, 2026. The rules around ADMT are especially complex, with broad definitions that could apply to any tool or system that processes personal data to make significant decisions about consumers. Beyond ADMT, certain companies will also need to conduct comprehensive cybersecurity audits through an independent auditor, a process that may be challenging for smaller organizations. Risk assessments impose an additional obligation by requiring reviews of activities such as processing, selling, or sharing sensitive data, and using ADMT for significant decision-making, among others, with attestations submitted to regulators. The new rules make it clear that California regulators also expect companies to maintain detailed documentation and demonstrate accountability through governance. In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Daniel Goldberg, Partner and Chair of the Data Strategy, Privacy & Security Group at Frankfurt Kurnit Klein & Selz PC, about how companies can navigate the CCPA's new requirements. From ADMT to mandatory cybersecurity audits and risk assessments, Daniel provides a detailed overview of the complex requirements, explaining the scope and its impact on companies. He also outlines how these new rules set the tone for future privacy and AI regulations, why documentation and governance are central to compliance, and shares practical tips on the importance of reviewing AI tool settings to ensure sensitive data and confidential information are not used for AI model training.

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 Strong science isn't just a checkbox; it's a growth strategy that can set digital health startups apart in crowded markets. In this episode, Dr. Jennifer Huberty, CEO & founder of Fit Minded, explores how behavioral health companies at any stage can build scientific credibility without depleting their resources. She stresses that many startups fail to recognize the value of the data they already possess: data that can drive business decisions, fuel marketing narratives, and even lead to peer-reviewed publications. Jennifer walks through cost-effective research strategies, such as retrospective analyses and national surveys, while cautioning against fragmented, one-off studies that lack strategic alignment. She also introduces the idea of “traveling science,” a framework for making research actionable across departments, and emphasizes that trust, transparency, and clear alignment with business goals are essential for impactful, lasting research partnerships. Tune in and learn how to leverage research not just for credibility, but for growth, clarity, and competitive advantage in the behavioral health tech landscape! Resources: Connect with and follow Dr. Jennifer Huberty on LinkedIn. Follow Fit Minded on LinkedIn and explore their website. 

Nonprofit leadership isn't just about managing resources — it's about vision, resilience, and the bold action it takes to solve the toughest challenges in our communities. Dr. Dawn Belamarich, CEO of Collaboratory, is leading a bold mission to solve Southwest Florida's biggest social challenges by 2040. With roots as a therapist and the discipline of a business leader, Dawn shares how she blends compassion with strategy to drive impact. From data-driven initiatives to scholarships that change lives forever, her leadership lessons resonate with nonprofit executives, Board members, and emerging leaders alike. You'll learn: Why every nonprofit must be run like a business to sustain its mission How optimism became Dawn's leadership superpower—and why it matters The power of scholarships and community funding to change lives Straight talk for Board members and CEOs navigating tough times Why knowing your “why” is essential for every nonprofit professional If you're ready for practical wisdom, candid insights, and real inspiration to lead with courage, this episode is for you. Prefer video? Watch the full episode on YouTube, https://youtu.be/9IXlGHn0eQY. Standout Quotes “A nonprofit is a business. If there's no money, there's no mission.” — [18:03] “It's the game changer of game changers when you see a life transformed by a scholarship.” — [15:43] “Know your why. Write it on your mirror, remind yourself every day, because many things will try to take you off course.” — [40:12] Chapters & Timestamps 00:00 – Welcome & Collaboratory's Bold 2040 Mission 01:05 – From Therapist to Nonprofit CEO: An Unexpected Journey 07:15 – Finding Inspiration in People, Innovation, and Optimism 13:42 – Scholarships & Success Stories That Change Lives 18:03 – Running Nonprofits Like a Business 21:39 – Navigating Funding Challenges with Collaboration 24:21 – Straight Talk for Board Members and Nonprofit CEOs 29:47 – Failures, Lessons, and Surprising Leadership Insights 38:12 – Final Advice for Nonprofit Leaders: Know Your Why Guest Bio Dr. Dawn Belamarich is President & CEO of Collaboratory, Southwest Florida's regional community foundation with a bold mission to solve the area's biggest social challenges by 2040. A licensed mental health therapist with a doctorate in business and leadership, Dawn brings a unique blend of compassion and strategy to her work. Before joining Collaboratory, she held senior leadership roles at Recovery Centers of America, where she led clinical and operational excellence for a national addiction treatment provider. Her career spans both nonprofit and for-profit sectors, giving her a distinctive perspective on driving impact with business discipline. Dawn also serves on the Board of the ARCHway Institute, a national organization providing education and resources for those impacted by addiction. Originally from New Jersey, she now calls Cape Coral, Florida home, where she enjoys the outdoors, spending time with family, and life with her husband Dave and their...

1007: Can AI transform a 200-year-old commercial real estate company? In this episode, Peter High speaks with Yao Morin, Chief Technology Officer of JLL, a $24B global commercial real estate leader. Yao shares how she is leading JLL's AI and data transformation which is reshaping how buildings are operated, how software is developed, and how employees work. Yao details how JLL is building customer-facing AI products like the JLL Property Assistant, driving cultural change through AI literacy programs, and launching internal tools like JLL GPT that already see 17,000 daily users. She also explains why she believes Scrum teams will shrink, engineers will code less, and AI adoption will soon be table stakes across industries. Key topics include: AI strategy across internal and external JLL platforms The APEX program for AI-driven software engineering Metrics for measuring AI impact beyond efficiency gains Ethical AI design, data privacy, and client trust

Enterprise AI is still in its infancy, with less than 1% of enterprise data currently used to fuel AI, according to Raj Verma, CEO of SingleStore. While consumer AI is slightly more advanced, most organizations are only beginning to understand the scale of infrastructure needed for true AI adoption. Verma predicts AI will evolve in three phases: first, the easy tasks will be automated; next, complex tasks will become easier; and finally, the seemingly impossible will become achievable—likely within three years. However, to reach that point, enterprises must align their data strategies with their AI ambitions. Many have rushed into AI fearing obsolescence, but without preparing their data infrastructure, they're at risk of failure. Current legacy systems are not designed for the massive concurrency demands of agentic AI, potentially leading to underperformance. Verma emphasizes the need to move beyond siloed or "swim lane" databases toward unified, high-performance data platforms tailored for the scale and complexity of the AI era.Learn more from The New Stack about the latest evolution in AI infrastructure: How To Use AI To Design Intelligent, Adaptable InfrastructureHow to Support Developers in Building AI Workloads Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Text us your thoughts on the episode or the show!In this episode of Ops Cast by MarketingOps.com, powered by The MO Pros, hosts Michael Hartmann, Mike Rizzo, and Naomi Liu speak with Dean de la Peña, VP of Identity, Data Strategy, and SaaS at Resonate.Dean discusses the role of predictive intelligence in marketing and explains how brands can utilize more comprehensive data signals to enhance audience targeting and personalization. He also outlines the importance of identity resolution and data structure in building effective campaigns.Topics covered include • How to apply predictive consumer intelligence to marketing workflows • The value of identity resolution in campaign planning • Practical approaches to scaling personalization based on real dataThis episode is intended for marketing operations professionals looking to improve their use of data in audience engagement.Episode Brought to You By MO Pros The #1 Community for Marketing Operations Professionals Visit UTM.io and tell them the Ops Cast team sent you. Join us at MOps-Apalooza: https://mopsapalooza.com/Save 10% with code opscast10Support the show

You think using AI is your moat? Nope. Just using LLMs isn't enough to power your company's AI success. But do you know the real fuel? Having your data right is the ACTUAL key. So how do you do it? And how does your company's data strategy change with agentic AI? Find out from Deloitte's US Chief Data Analytics Officer, Ashish Verma.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Transformative Data Strategy for AI SuccessImportance of Data Strategy in AIDeloitte's Data Marketplace ApproachMulti-Agent Orchestration ChallengesStructured vs. Unstructured Data in AISynthetic Data and AI TransformationAgentic AI and Data Labeling EssentialsAI's Impact on Business Value ChainTimestamps:00:00 "AI Success Requires Data Strategy"05:27 Data Integration and Utilization Insights10:31 Contextual Data Marketplace Evolution13:06 Structuring Unstructured AI Insights17:02 Agent Reasoning and Orchestration Insights20:37 Data Annotation Challenges23:39 AI's Impact on Industry Evolution26:09 "Data Strategy: Begin with the End"Keywords:transformative data strategy, AI success, generative AI, non-technical people, data teams, data strategy, business leaders, companies, careers, unedited podcast, livestream, Deloitte, US chief data and analytics officer, data analytics, GenAI, data experiments, third-party data, synthetic data, data marketplace, data concierge, chief data officer, compute environment, deterministic, probabilistic, AI transformation, digital transformation, data minder, CFO, CMO, public domain data, business partner data, metadata, business glossary, technical catalog, agentic AI, multi-agent orchestration, agent registry, agent orchestration, open standard protocols, economic AI, digital transformation strategy, data advantages, structured data, unstructured data, hybrid data, PowerPoint, staffing optimization, resource management, query engine, relevance-ranked search, annotation, data regulation, governance, data procurement, data curation, data feeds, data platforms, information indexing, future predictions.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Struggling with data trust issues, dashboard drama, or constant pipeline firefighting? In this deep‑dive interview, Lior Barak shows you how to shift from a reactive “fix‑it” culture to a mindful, impact‑driven practice rooted in Zen/Wabi‑Sabi principles.You'll learn:Why 97 % of CEOs say they use data, but only 24 % call themselves data‑drivenThe traffic‑light dashboard pattern (green / yellow / red) that instantly tells execs whether numbers are safe to useA practical rule for balancing maintenance, rollout, and innovation—and avoiding team burnoutHow to quantify ROI on data products, kill failing legacy systems, and handle ad‑hoc exec requests without derailing roadmapsTurning “imperfect” data into business value with mindful communication, root‑cause logs, and automated incident review loops

What does it really take to build confidence in enterprise data? At Arvest Bank, it started with a single use case and a commitment to simplicity. In this episode, Thomas Brence sits down with Josh Cohen live from Collibra's Product Premiere to talk about what it means to make trust tangible—and how Arvest is laying the groundwork for deeper data quality and governance maturity.By bringing Collibra under the data engineering team and focusing on clear business value, Arvest is transforming how its finance and performance teams interact with data. Josh shares how his team is tackling source-to-target validation, establishing trust through small wins, and navigating change management with a pragmatic, top-down approach.From reluctant stakeholders to AI readiness, hear how one bank is building trust in its data—one rule, one report, and one relationship at a time.Three reasons you should listen to this episode:1. Start small to prove value fast. Learn how Arvest focuses on specific, high-value reporting needs to make data governance meaningful—and measurable—for business stakeholders.2. Rethink ownership to drive adoption. Explore Arvest's shift Collibra from the governance team to data engineering, and how that decision helped accelerate quality initiatives.3. Navigate change with clarity. Get practical advice on managing resistance, setting expectations, and securing executive buy-in to make data quality stick.ResourcesConnect with ThomasConnect with JoshEnjoyed this episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

On today's episode, Andy and former Green Beret and CIA operative Scott Mann break down reports that the Trump administration is working with Palantir to build a centralized citizen database. With critics from all sides warning of authoritarian overreach, they explore what this means for privacy, national security, and the future of civil liberties in America. Focal Point is an IRONCLAD Original Sponsors:  Marek Health Take control of your health today! Head to https://www.MarekHealth.com and use code FOCALPOINT for 10% off at checkout. Learn more about your ad choices. Visit megaphone.fm/adchoices

Kyle de Bruin is Managing Director at Leesman where he is passionate about measuring and analyzing the experiences of employees in their places of work. Mike Petrusky asks Kyle about how high-performance offices deliver a great employee experience and they review lessons learned from the past five years of workplace change. The lack of variety in office design is a significant challenge, as employees are staying at their desks due to the increased use of video calls and the need for private conversations. Kyle believes that the facility management and corporate real estate industry is data-rich but insights-poor, so he hopes AI advancements can help organize and analyze unstructured data. The value of real estate assets should not solely be measured by occupancy rates and workplace leaders need to focus on creating spaces where employees can focus and be productive, so Mike and Kyle offer the advice and inspiration you need to be a Workplace Innovator! Take the Eptura™ Podcast Survey: https://forms.office.com/r/jY577CbNcx Connect with Kyle on LinkedIn: https://www.linkedin.com/in/kyledebruin/ Learn more about Leesman: https://www.leesmanindex.com/ Read the “Lessons Learned” article Kyle referenced: https://www.leesmanindex.com/articles/redefining-the-workplace-why-employee-experience-matters/ Discover free resources and explore past interviews at: https://www.workplaceinnovator.com/ Learn more about Eptura™: https://eptura.com/ Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikepetrusky/  

Redefining leadership requires authenticity, cross-functional collaboration, and a willingness to embrace non-linear career paths. Kari Wilhelm, SVP of Data Strategy and Commercialization at Worldpay, embodies these principles as she navigates the complex intersection of payments technology and data innovation.In this fascinating conversation, Kari reveals how her unconventional journey from economic research in Hong Kong to management consulting at McKinsey ultimately led her to the payments industry. Rather than viewing her diverse background as a limitation, she's leveraged these varied experiences as strategic assets that provide unique perspectives on complex business challenges. As she notes, "I've really experienced that kind of non-linearity as more of a strength rather than a setback."Kari offers profound insights on modern leadership, emphasizing the importance of building inclusive team cultures, setting clear expectations, and providing the necessary tools for success. She highlights how the pandemic has transformed leadership dynamics, creating new challenges for maintaining collaborative environments across dispersed teams. Her practical solutions for adapting leadership approaches in virtual settings demonstrate her thoughtful, pragmatic approach to team management.The conversation explores the unique strengths women bring to payments leadership, particularly their ability to work cross-functionally and build consensus across stakeholders. Kari observes that women often excel at listening deeply to understand underlying needs rather than just surface requests, allowing them to craft solutions that address fundamental issues and build alignment across diverse groups.As leader of Worldpay's data strategy initiatives, Kari provides fascinating glimpses into how AI and data analytics are transforming the payments landscape. Her current focus on leveraging Worldpay's vast transaction data to provide merchant insights represents the cutting edge of payments innovation, with potential to reshape how consumers discover and purchase products.Whether you're a payments veteran, an aspiring leader, or simply curious about the human elements that drive technological innovation, Kari's perspective offers valuable guidance on navigating today's complex business environment with authenticity and purpose.

Data collection is no longer a back-office task. It is now the foundation of manufacturing intelligence. In this episode of Manufacturing Hub, we are joined by Brian Bribe, founder of Mach Controls, to explore the practical realities of modernizing data infrastructure inside manufacturing facilities.Brian brings a frontline perspective to OT architecture and walks us through what it actually takes to connect legacy equipment, build scalable pipelines, and enable true real-time decision-making. We dive deep into Unified Namespace (UNS) principles, the evolution of MQTT and Kafka in industrial settings, and why so many manufacturers struggle to get ROI from new digital systems. From co-op student to founder of a systems integration firm, Brian shares how his early hands-on experience shaped his understanding of controls, business systems, and the gaps in between.Topics include historian layers, challenges with SCADA-based centralization, how to scope a machine connectivity project, practical change management tips, and the path to flattened architectures using modern pub-sub tools. This is a must-watch for engineers, plant managers, and decision-makers looking to make sense of the data revolution inside their factories.

Discover how to turn decades of data into a competitive edge, build lasting customer relationships beyond the first click, and apply AI in ways that truly drive impact. Joining us is Vineet Mahajan, CTO of US News & World Report, who shares how he's led the 90-year-old brand through a sweeping digital transformation. From rearchitecting infrastructure to deploying semantic search, generative AI, and agentic tools, Vineet explains how his team is reimagining what a legacy institution can become—and what every tech leader can take from that journey.Key Moments:00:00 Meet Vineet Mahajan, CTO of US News & World Report04:45 How to Unlock the True Value of Your Data09:55 Why First-Party Data Is Key to Building Customer Relationships14:32 What Is Semantic Search and How Can Generative AI Improve UX?18:39 How to Overcome Data Cleaning and Structuring Challenges21:18 How to Evaluate Emerging Tech Trends (Like Agentic AI)25:43 How to Lead Change: Data Governance and Digital Transformation32:38 What's Next for US News & World Report and the Future of AI-Driven Strategy -- Brightspot is the leading content management platform built for modern teams. Your content lifecycle - from ideation to archival - moves faster, handling any volume, variety, or velocity with ease. Unlike legacy platforms that demand heavy dev work and struggle with scale, Brightspot is user-friendly, endlessly customizable, and enterprise-ready. Think dynamic, modern experiences, shipped in minutes—not months. Trusted by some of the world's leading tech organizations, Brightspot reduces total cost of ownership, boosts productivity, and gives you the governance, security, and performance your teams need. Visit brightspot.com/ITVisionaries to learn more.---This episode was produced by the team at Mission.org and brought to you by Brightspot.

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.

You think using AI is your moat? Nope. Just using LLMs isn't enough to power your company's AI success. But do you know the real fuel? Having your data right is the ACTUAL key. So how do you do it? And how does your company's data strategy change with agentic AI? Find out from Deloitte's US Chief Data Analytics Officer, Ashish Verma.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Transformative Data Strategy for AI SuccessImportance of Data Strategy in AIDeloitte's Data Marketplace ApproachMulti-Agent Orchestration ChallengesStructured vs. Unstructured Data in AISynthetic Data and AI TransformationAgentic AI and Data Labeling EssentialsAI's Impact on Business Value ChainTimestamps:00:00 "AI Success Requires Data Strategy"05:27 Data Integration and Utilization Insights10:31 Contextual Data Marketplace Evolution13:06 Structuring Unstructured AI Insights17:02 Agent Reasoning and Orchestration Insights20:37 Data Annotation Challenges23:39 AI's Impact on Industry Evolution26:09 "Data Strategy: Begin with the End"Keywords:transformative data strategy, AI success, generative AI, non-technical people, data teams, data strategy, business leaders, companies, careers, unedited podcast, livestream, Deloitte, US chief data and analytics officer, data analytics, GenAI, data experiments, third-party data, synthetic data, data marketplace, data concierge, chief data officer, compute environment, deterministic, probabilistic, AI transformation, digital transformation, data minder, CFO, CMO, public domain data, business partner data, metadata, business glossary, technical catalog, agentic AI, multi-agent orchestration, agent registry, agent orchestration, open standard protocols, economic AI, digital transformation strategy, data advantages, structured data, unstructured data, hybrid data, PowerPoint, staffing optimization, resource management, query engine, relevance-ranked search, annotation, data regulation, governance, data procurement, data curation, data feeds, data platforms, information indexing, future predictions.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

Step into the future of policing where data is a mission-critical asset. Cindi Howson talks with Aimee Smith, Director of Data at the Metropolitan Police, about the Met's bold data transformation—from digitizing records dating back to 1829 to using AI and cloud tech for smarter, faster decisions. Hear how initiatives like the V100 program and real-time analytics help improve city safety. Key Moments: Genesis of the Met's Data Strategy (03:35) - The Met's data strategy's origin is traced to former Commissioner Cressida Dick's leadership, who envisioned leveraging data to transform policing, leading to a program building data capabilities and broadening analytics use beyond traditional intelligence and performance applications.  Mission with Data and AI (13:34): The Met's overarching mission to use data and AI for precise decision-making is articulated, acknowledging the complexity of policing's multiple goals: crime prevention, incident response, organized crime intervention, victim service, and custody safety.  Infrastructure Evolution (15:18): The transformation of the Met's data infrastructure over 5 years, from 8 separate operational systems to an integrated one with cloud technology adoption, is described, enhancing analytics and data science capabilities.  V100 Initiative (19:58): The V100 initiative, a data and analytics effort to reduce violence against women and girls by prioritizing individuals with a history of harm, is explained.  Concert Security Powered by Analytics (27:50): The use of ThoughtSpot by frontline officers is illustrated with a sergeant's innovative application for analyzing crime data around events like the Taylor Swift Eras tour to improve policing plans.  AI Agent Development (36:37): An innovative project to build an AI agent that assists frontline officers at crime scenes by providing real-time guidance is outlined, aiming to improve public protection and investigative outcomes.  Key Quotes:“So if an officer wants to start being able to do their own searches, creating their own sort of planners, thinking about doing their own trend analysis essentially, of crime data, which is great, isn't it? I mean, that's just exactly how you want ThoughtSpot to be used. Every officer has access to that.” - Aimee Smith"I like to think of it as a utility belt—you know how cops wear their utility belt? Well, hanging on there is this ThoughtSpot tool. A sergeant invented a way to use it for planning major events, concerts, to make sure our presence is right. And now that's replicable by other people who want to do the same thing." - Aimee Smith"One of the 5 principles of our business strategy for London to keep it safe is to be more precise in the use of data for decision making. So it's a high-level principle of our strategy. That makes data and analytics much harder, because there aren't enough data specialists and too many data parts to point at all those missions in one go.” - Aimee SmithMentionsMet Police's V100 InitiativeMet Police Develops an Open Data Strategy with the Open Data InstituteMet Police's Concert Preparation for Taylor Swift's Eras Tour Cressida Dick Reflects on Public Trust in the Digital Age The Data Protection ActGuest Bio Aimee Smith's distinguished career in the Metropolitan Police Service (MPS) spans almost a quarter-century, truly a testament to her profound dedication to integrating robust data into the very core of police decision-making. She embarked on her journey in 2001 as an Intelligence Analyst, steadily rising through the ranks. By 2014, her leadership capabilities led her to head UK Policing's largest Confidential Intelligence Unit. A pivotal "light-bulb moment" crystallized for her the critical importance of effective data management in driving operational outcomes, inspiring her to passionately spearhead the comprehensive MPS data transformation program. In a landmark achievement, Aimee was appointed as the first Director of Data for the MPS, where in 2019, she successfully established the inaugural Data Office within law enforcement, fundamentally reshaping how the service leverages its information. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.