Podcasts about Data integration

In this Tyler Tech Podcast episode, Burgandi Grace, principal project manager for artificial intelligence at Tyler Technologies, and Heidi DeVore, CAMA specialist from the Kansas Department of Revenue's Property Valuation Division, discuss how governments are working to connect fragmented systems and make data more usable across agencies. Recorded live at Tyler Connect 2026 in Las Vegas, the conversation brings together both a broad view of modernization efforts and a detailed, statewide example of what it takes to align data across more than 100 local offices. Like many government organizations, Kansas operated with systems that were technically standardized but functionally disconnected. While counties used the same property appraisal software, differences in scale, processes, and data practices meant the state was effectively working with 105 separate systems. That fragmentation made it difficult to share data, report consistently, or provide timely insights across jurisdictions. Together, Burgandi and Heidi offer a grounded look at how governments are improving access to data, supporting better performance tracking, and making incremental progress toward more connected operations — while balancing technical, organizational, and operational considerations along the way. This episode also highlights the 2026 State CIO Priorities Playbook, designed to help government leaders turn strategy into action. The playbook provides practical insights, real-world examples, and actionable guidance across top priorities like AI, cybersecurity, modernization, accessibility, and digital services. 2026 State CIO Priorities Playbook: From Planning to Execution: Turning Priorities Into Progress And learn more about the topics discussed in this episode with these resources: Download: NASCIO 2026 State CIO Top 10 Priorities Download: AI for Impact: Proven Results for Government Download: Modern Governments Live in the Cloud Download:Building a Resilient Government Watch:Kansas Centralizes Property Valuation Data Statewide Read:How Digital Services Shape Public Trust in Local Government Listen to other episodes of the podcast. Let us know what you think about the Tyler Tech Podcast in this survey!

In this episode of FP&A Unlocked, Paul Barnhurst chats with Derek Baker, the Head of Strategic Finance at Circle, a growth-stage SaaS company. Derek shares insights from his experience in building strategic finance functions, scaling finance teams, and using AI to optimize financial reporting.Derek Baker is the Head of Strategic Finance at Circle, a growth-stage SaaS company focused on building an all-in-one platform for online communities. He has built the Strategic Finance function from the ground up, covering areas like pricing, sales compensation, investor due diligence, and AI-powered financial reporting. Prior to Circle, Derek co-founded The FP&A Hub with Paul Barnhurst and Liran Edelist to support finance professionals. His career spans FP&A roles across SaaS, marketplace, and biotech startups. Expect to Learn:How AI is transforming financial reporting and analysis in FP&A.The role of business partnering in aligning FP&A with strategic decisions.Derek's transition from spreadsheets to AI-driven financial models.How FP&A evolves as companies scale.Here are a few relevant quotes from the episode:“Spreadsheets are great for MVP models, but AI and data warehouses are the future for repeatable, scalable analysis.” – Derek Baker“AI can manage context better than prompts, and this is what drives its power in finance.” – Derek BakerDerek shares that the future of FP&A is all about embracing technology and innovation. He emphasizes that it's no longer just about spreadsheets and traditional methods; it's about leveraging AI and data to drive smarter financial decisions. By focusing on both the strategic and technical sides of finance, professionals can better align with business goals and create more impactful outcomes. Follow Derek:LinkedIn: https://www.linkedin.com/in/derek-d-baker/Website: https://community.thefpahub.com/home Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Introduction & Derek's Background[06:00] – What Does Great FP&A Look Like?[12:00] – Scaling Finance Functions in Startups[17:00] – The Role of AI in FP&A[22:00] – Building an AI-Powered Financial Reporting System[28:00] – Why Data Architecture is Key to AI Success[33:00] – The Future of Financial Modeling with AI[40:00] – Automating Monthly Finance Reports Using AI[45:00] – Data Integration and Financial Modeling for Future Growth[50:00] – Insights on Scaling FP&A Teams in Tech Startups[53:00] – Final Thoughts & Key Takeaways

AI is a force multiplier, not a magic wand; health systems can't turn AI tools into measurable ROI if their data remains siloed. Success with AI depends less on creating content and data and more on distilling that information into insights that produce better decisions. In this podcast, Health Catalyst's Robbie Hughes discusses how leaders can move beyond individual building block tools towards integrated solutions that combine generative AI with statistical models. 

Jon Brewton, CEO, Data2, stops by, and we talk about accountability.The negative issues we are facing about Data Centers and AI are hitting the front pages, and we need accountability for AI. We also need accountability for local politicians and all elected officials.Jon just presented right behind the Head of AI in Energy for Microsoft in an AI presentation. There were several key points in the Microsoft presentation that there was no company that could scale accountability across disparate systems. After Jon presented, the Microsoft presenter came up and said you may be the only company in the world that can provide accountability across disparate systems at scale. This is huge.When the AI lead presenter comments, “Your presentation just dispelled everything that I said that there is no accountability in AI.” This is critical.1. AI in the Energy IndustryThe conversation centers on how artificial intelligence is transforming the energy sector. While AI is positioned as a major strategic opportunity, there's a critical distinction between AI being impressive and AI creating real, measurable business value. The speakers emphasize that many companies are investing heavily in AI without seeing corresponding productivity gains.2. The Hallucination Problem & AI ValidationJohn Bruton discusses Data Squared's patented solution for addressing AI “hallucinations”—instances where AI systems generate plausible-sounding but incorrect information. The core issue is that AI without validation and cross-checking is worthless. The patent focuses on creating explainable, trustworthy, and auditable AI results, allowing organizations to “lift the hood” and see exactly how the system is reasoning.3. Data Integration & Legacy SystemsA major challenge in the energy industry is connecting disparate, fragmented systems that have accumulated over decades. The speakers highlight a real-world example where an oil company with eight acquired subsidiaries had billing processes taking 2 months; using Data Squared's solution, they reduced it to 2 minutes with verification. The key insight: you cannot create sustainable AI value without solving structural data integration problems first.4. The Four Major AI MisconceptionsLLMs aren't the solution: Large language models (ChatGPT, Gemini, etc.) are only a small component; the real challenge is data orchestration, context continuity, and workflow integrationMore data ≠ better AI: Simply aggregating all available data doesn't improve AI; inconsistent definitions and siloed information actually create problemsInfrastructure forecasting is based on promise, not proven demand: Data center expansion is being driven by theoretical AI adoption, not current production-grade deploymentsAI should augment humans, not replace them: The goal should be human-machine collaboration, not automation that eliminates jobs5. Data Center Infrastructure & Eminent DomainThe conversation addresses growing public concern about large data centers being built on private land. The speakers propose an alternative: small-scale, distributed data centers connected via mesh networks, placed next to existing energy sources (stranded gas, geothermal, etc.). This approach could:Reduce infrastructure footprint by ~90%Cut upfront capital costs by ~90%Reduce energy consumption by ~90%De-risk infrastructure at scale6. Federal Government & Legacy SystemsData Squared is working with federal agencies (DoD, VA, FBI) to integrate decades-old systems. The VA alone has operated systems from 1947, 1956, 1963, and the 1980s—all disconnected. The speakers emphasize that government is “probably the worst offender” for unintegrated legacy systems.7. Nuclear Energy & AI IntegrationThe speakers discuss the growing role of nuclear power (including small modular reactors) in supporting AI infrastructure. They emphasize that nuclear applications require absolute reliability, transparency, and auditability—making Data Squared's approach particularly valuable.8. ROI & Business ValueA recurring theme is the CEO question: “I'm spending millions on AI—where's my return?” The speakers argue that with proper validation and integration, AI can deliver measurable bottom-line value, but only when the structural data problems are solved first.This is huge, with accountability, AI can be rolled out, and we need accountability across AI and the political landscape.As I mentioned in my last SubStack article, we need political accountability at the national, state, and local levels. Get involved and help provide accountability at the local levels, and keep us posted.We need data centers rolled out responsibly and not hurting consumers. With accountability, this can be done.We have several more topics and interviews with Jon and other CEOs in the AI and Energy space on the drawing board, covering nuclear, natural gas, midstream, downstream, oilfield services, exploration, and especially utilities.Connect with Jon on his LinkedIn, and tell him Stu sent you. https://www.linkedin.com/in/jon-brewton-datasquared/Data2 if you have any business systems, can you trust A? Well, they have the patent on validation. https://data2.zoholandingpage.com/energySubstack article https://theenergynewsbeat.substack.com/p/ai-with-accountability-why-validation

Jon Brewton stopped by the Energy News Beat Podcast and let us know how his meetings with the Department of Energy went. This is extremely cool for the entire energy sector, as we are facing energy crunches, rising demand, and cost issues, and Jon and the entire Data 2 group have solutions. We have to maintain and continue to achieve Energy Dominance through our Exports and provide more energy at lower costs. You have heard me say Energy Security starts at home, but Energy Dominance is displayed through your exports. Well, you have to produce more than you use to export, and the Data2 team is helping bridge this gap. The overarching theme of our discussion is that innovation and technology are essential for the oil and gas industry to navigate current market challenges and maintain global competitiveness.1. Oil & Gas Industry ChallengesThe conversation opens with discussion of current market pressures, including declining oil prices, surplus tanker capacity in the Gulf, and geopolitical risks (particularly around Iran). These factors are creating significant operational and financial pressures on the industry.2. Technology as a SolutionA major focus is on how technology can help the industry do more with less—such as:Tapping into depleted reservoirs more effectivelyOptimizing operational workflowsImproving overall productivity and efficiency3. Data Integration & ManagementThe transcript emphasizes a critical industry problem: fragmented and disparate data systems. The discussion highlights how companies struggle with data silos and the need for better data integration solutions to make informed decisions.4. AI-Powered ApplicationsSpecific use cases are discussed, including:AI tools for invoice processingWater management optimizationWorkflow automation5. Data Integrity & TrustThere's significant emphasis on the importance of transparency and explainability when deploying AI systems. Building trust through data integrity is crucial for industry adoption.6. Public-Private CollaborationThe transcript discusses potential partnerships between private companies and government agencies (like the Department of Energy) to maintain U.S. competitiveness in global energy markets.7. Real-World ApplicationsThe speaker shares examples from their company, Data Squared, demonstrating how their technology solutions have helped clients with data integration, cost savings, and operational improvements.Please connect with Jon on his LinkedIn here: https://www.linkedin.com/in/jon-brewton-datasquared/For more information on Data2 and how AI can transform your energy company with patented technology, check out: https://www.data2.ai/resources/the-decision-lag-reportData2 Website: https://www.data2.ai/You can also find all of the stories on https://energynewsbeat.com/Check out the Energy News Beat SubStack https://theenergynewsbeat.substack.com/A shout-out to Steve Reese and the Reese Energy Consulting group for sponsoring the Podcast https://reeseenergyconsulting.com/.. https://www.data2.ai/resources/the-decision-lag-reportAnd we have WellDatabase rolling in as a new sponsor.

In this episode of Treasury Leaders, Host Jan-Willem Attevelt, Co-founder of Automation Boutique, speaks with Marianna Polykrati, Group Treasurer of AVRAMAR and Co-Founder of Tetraktys Treasury, about the evolving role of treasury, where human judgment meets automation, and why treasury is far more than just numbers.Marianna shares her journey from banking and venture capital into corporate treasury, explaining how the function sits at the centre of liquidity, risk, operations, and strategy. She breaks down the reality behind automation and AI in treasury, highlighting both the opportunities and the limitations. While automation can remove manual work and improve efficiency, she stresses that poor processes cannot be fixed by technology alone.The conversation explores how treasury teams should approach automation, data, and system selection, from APIs and RPA to AI-powered tools. Marianna also explains why communication, adaptability, and cross-functional understanding remain essential skills, even as technology advances.Beyond systems and tools, she offers a human perspective on treasury, emphasizing that treasury is ultimately about people, decisions, and responsibility.What You'll Learn in This Episode:Treasury as a Strategic Function How treasury connects liquidity, risk, and operations across the business.Automation vs. Reality Why fixing processes matters more than rushing into automation.AI in Treasury Where AI helps and where human judgment is still required.Choosing the Right Systems When to use a TMS, and when simpler or tailored solutions work better.APIs and Cash Visibility How real-time data improves treasury decision-making.Cash Flow Forecasting Why interpretation and scenario planning cannot be fully automated. Skills That Matter The mix of communication, business understanding, and technical ability needed today.Episode Breakdown with Timestamps:[00:53] Introduction and Marianna's Background[03:15] People Skills and Cross-Functional Treasury[05:45] Automation, AI, and Process Limitations[10:03] Treasury Systems and Practical Approaches[13:13] APIs and Real-Time Cash Visibility[21:18] AI in Forecasting and Data Integration[35:35] “Treasury Is Not Numbers” and Final InsightsFollow our guest Marianna Polykrati: LinkedIn: https://www.linkedin.com/in/marianna-polykrati-61b5847/Tetraktys Treasury: https://www.linkedin.com/company/tetraktys-treasury/AVRAMAR: https://www.linkedin.com/company/avramar-seafood/Follow Treasury Leaders:Website: https://corporate-treasury-101.com/LinkedIn: https://www.linkedin.com/company/treasury-leaders/Follow Our Hosts:Hussam Ali on LinkedIn: https://www.linkedin.com/in/hussam-r-ali/Guillaume Jouvencel on LinkedIn: https://www.linkedin.com/in/guillaume-jouvencel/Jan-Willem Attevelt on LinkedIn: https://www.linkedin.com/in/attevelt/Philip Costa Hibberd on LinkedIn:https://www.linkedin.com/in/philip-costa-hibberd/GHA Marketing Website: https://ghapodcast.com/Automation Boutique Website: https://automationboutique.com/

Hey Voices from the Bench community! Jessica Love here, sending a shoutout from Utah! If you're passionate about creating natural, beautiful smiles—but want to simplify your workflow without sacrificing aesthetics—this is for you. I'm honored to be part of Ivoclar's development team introducing a powerful new stain and glaze system featuring Structure Paste, IPS e.max Ceram Art. Create stunning depth and lifelike color in as little as one firing. Let's continue to innovate, simplify, and create meaningful change—one smile at a time. When it comes to digital dentures, design is easy—manufacturing is where things get messy. That's why the Elevate Denture Solution brings it all together. Built by Roland DGSHAPE, Ivoclar, and FOLLOW-ME! Technology Group, it combines machine, materials, and CAM into one fully optimized workflow—so you get consistent, high-quality results without the guesswork. Want to simplify production and scale with confidence? Check it out at rollanddga.com/elevate. This week, Elvis and Barb finally track down the always-on-the-move Katie (now Katherine!) Wilcox to hear her journey from dental assisting to lab tech to helping shape one of the industry's fastest-growing digital solutions companies. What starts as a conversation about avoiding small talk and loving lab life quickly turns into a deep dive into outsourcing, automation, and how labs are surviving (and thriving) in a post-COVID world. Katherine shares how her early curiosity in the back of a dental office led her into dental technology, why she fell in love with the bench, and what pulled her out of it into sales and software. From cold-calling labs during COVID to helping scale a global design center, she offers a behind-the-scenes look at how outsourcing evolved from “no way” to “no-brainer” for labs trying to manage workload and staffing challenges. The conversation shifts into the evolution from Evident to EviSmart, where the focus is now on automation, workflow optimization, and reducing the chaos of digital file management. Katherine breaks down how connecting systems, eliminating repetitive tasks, and adding AI-driven QC is helping labs do more with less—without sacrificing quality. Join us at exocad Insights 2026, happening April 30–May 1, 2026, on the stunning island of Mallorca, Spain. This two-day event features powerhouse keynotes, hands-on workshops, live software demos, and top-tier industry showcases—all in one unforgettable setting. Barb and Elvis will be on site bringing you exclusive interviews, plus don't miss the Women in Dentistry Lunch, celebrating career growth, wellbeing, and the real stories shaping our profession. And of course, cap it all off with the legendary exoGlam Night under the stars. Tickets are limited. Visit exocad.com/insights-2026 and use code VFTBPalma15 for 15% off.Special Guest: Katherine Wilcox.

What You'll Learn in This Episode:In this episode, Andy Olrich, Patrick Adams, and guest John Broadbent break down what Industry 4.0 really means, and why it's not as complex or expensive as many think.You'll learn how to start small, connect existing systems, and use data more effectively to improve operations. The conversation highlights why Industry 4.0 is about integration, not technology, and how even simple steps, like auditing spreadsheets or connecting one machine, can kickstart your transformation.If you've ever thought “we're not ready for Industry 4.0,” this episode will challenge that belief and give you a practical starting point.Key Takeaways:1. Industry 4.0 isn't about technology, it's about integration2. Industry 4.0 is a journey, NOT a one-time project3. Visibility is the first step to transformation4. Context matters more than dataLinks:Lean Solutions 2026 SummitLean Solutions Websitehttps://realisepotential.com.au/Email: john@realisepotential.com.au

In this episode of Cloud Wars Live, Bob Evans speaks with Steve Miranda, Executive Vice President of Applications Development at Oracle, about the company's latest leap into AI-driven enterprise software. Miranda outlines Oracle's introduction of “agentic applications,” a new category that blends AI agents, automation, and business workflows into outcome-driven systems. He explains how Oracle's strategy has evolved from embedding AI into apps to building thousands of agents — and now to delivering fully agentic apps that transform how users interact with enterprise software. The conversation highlights both the opportunity and confusion customers face in this rapidly shifting AI landscape. Rise of Agentic AI The Big Themes: From Features to Outcomes: A major shift is the move from feature-based software to outcome-driven systems. Instead of executing predefined tasks, AI agents are now given business goals, such as optimizing supply chains or improving financial performance, and they generate multiple strategies to achieve them. Users then act as decision-makers, selecting preferred options. This represents a profound change in human-computer interaction, where software becomes a collaborative partner. Explosive Growth of AI Agents: Oracle's rapid expansion from around 50–100 agents to over 1,000 demonstrates the accelerating pace of AI adoption. This growth reflects both customer demand and the scalability of AI-driven architectures. The agents are not limited to simple automation but are capable of reasoning, analyzing enterprise-wide data, and making recommendations. This scale also lays the foundation for agentic applications. Future of SaaS Reimagined: Miranda makes it clear that SaaS is undergoing a fundamental transformation. Traditional applications will coexist with agentic systems for now, but the long-term trajectory points toward AI-driven interfaces becoming dominant. Oracle plans to expand agentic capabilities across its entire application suite, from finance to supply chain to HR. As AI-to-AI interactions and data integration improve, these systems will become even more powerful. The Big Quote: “These are agents where you're giving the agent a business outcome and a goal, and the agents [are] recommending to you optimizations or how you get there. And then you, as a user or human in the middle of this process, actually instruct those agents on which of the plans to execute, and it goes ahead and automates and executes those transactions. So it's a fundamentally different way of presenting the applications." More from Steve Miranda: Connect with Steve on LinkedIn or learn more about AI agents for Fusion Applications. Visit Cloud Wars for more.

Welcome to The SaaS CFO Podcast! In this episode, host Ben Murray sits down with Matthieu Hafemeister, co-founder and CEO of Concourse. Matthieu shares his journey from growing up in Paris to launching a fast-scaling AI startup in New York, drawing on his experiences in venture capital at Andreessen Horowitz and operational roles at Jeeves. Together, they dive deep into how Concourse leverages agentic AI to revolutionize finance teams—from automating workflows across complex data sources to increasing team capacity and strategic output. Listeners will get a behind-the-scenes look at Concourse's rapid growth, its recent $12 million Series A raise, and the evolving landscape of AI for enterprise finance. Matthieu also offers insights on the challenges of founder-led sales, best practices for scaling go-to-market, and why staying lean is a key part of their strategy. Whether you're a SaaS founder, finance leader, or simply curious about the future of agentic AI, this conversation is packed with practical lessons and fresh perspectives. Don't miss it! Show Notes: 00:00 "Startup Growth and Complexity Insights" 06:03 Data Integration for Workflow Efficiency 07:36 AI Adoption Accelerates Across Industries 10:59 "AI Automating Workflows, Not Tools" 13:40 "AI Startup's Breakout Journey" 19:47 Evolving Pricing with Token Model 23:26 "AI Impact on Margins" 25:53 Streamlining Finance Team Workflows 27:31 "Custom AI for Enterprise Success" 30:41 "Proof of Concepts Drive Success" 34:38 "Concourse.ai: AI Insights Hub" Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/concourse-raises-12-million-in-series-a Matthieu Hafemeister's LinkedIn: https://www.linkedin.com/in/matthafemeister/ Concourse's LinkedIn: https://www.linkedin.com/company/concourseai/ Concourse's Website: https://www.concourse.co/ To learn more about Ben check out the links below: Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

In this episode of Home Health Revealed, Hannah Vale sits down with Ethan from Flychain to talk about the truth behind AI in home health and hospice, and why agencies are feeling both excitement and uncertainty about what automation really means for the future of the industry. They discuss how AI is already being used across clinical, operational, and financial workflows, why payers are leveraging automation to review and deny claims at scale, and what providers can do now to stay ahead. The conversation also explores how better data integration, stronger revenue cycle processes, and clearer financial visibility can help agencies protect margin while continuing to grow. Hannah and Ethan also talk through the importance of having the right tech stack, how financial and operational data need to work together, and why agencies that understand their numbers will be in the strongest position as reimbursement pressure continues. If you are a home health or hospice leader trying to understand where AI fits into your organization, this episode breaks down the hype, the reality, and what agencies should be doing now to future-proof their operations. Listeners interested in learning more about the tools discussed in this episode can visit Flychain to explore financial visibility and AI-driven reporting solutions, or learn more about revenue cycle strategy and performance improvement through HealthRev Partners. Chapters (00:00:03) - Home Health Revealed: The AI CFO(00:03:12) - Do You Need to Worry About Your Job?(00:05:57) - What AI Looks Like for Home Health?(00:10:46) - How Can EMRs Align Their Tech Stack with AI?(00:13:41) - Is AI the CFO of the Future?(00:15:46) - Should I Buy or Start with an EMR?(00:19:19) - Sources of Truth in the EMRs(00:20:45) - Payment-side AI: How do we keep up with pay(00:24:22) - Home Health Industry's Fight Against AI and the Audit Crack(00:29:32) - What Does AI Look Like For Healthcare Operations?(00:37:07) - Healthcare Finance: Automation and Data Integration(00:43:10) - Are You Scared of AI Taking Jobs?(00:43:54) - What Would Home Health and Hospice Leaders Do With AI?(00:48:39) - Where to Reach Out to Ethan Glass

In this EMRA*Cast episode of Bridging Health and Humanity, host Natalie Hernandez speaks with Dr. Maya Yiadom, MD, MPH, MSCI, an associate professor and director of Precision Analytics and Data Integration in Emergency Medicine at Stanford, about how artificial intelligence is reshaping emergency care.  They discuss practical AI already in use (predictive analytics and ambient AI scribes), how AI can be designed from clinical workflows to improve detection and timeliness (for example, speeding recognition of STEMI), and the promise of tools that reduce documentation burden and support decision-making.  Dr. Yiadom also grapples with real risks — biased training data, subgroup performance, privacy and cloud constraints — and emphasizes protecting trainee learning while teaching residents how to use AI responsibly. She closes on an optimistic note: AI as a fail-safe that augments clinicians' judgment rather than replaces the human art of medicine.  

The Pipeliners Podcast is continuing a series on inline inspection (ILI) with Marc Lamontagne of the Lamontagne Pipeline Assessment Corporation. In this episode, Marc discuss data. Specifically, what should operators do with all of the data they're collecting? Marc provides his perspective on data integration, what to look for in the data as it pertains to the condition of pipes in the field, the importance of using visualization and mapping to enhance your view of data, and other tools that can help you process the data to make informed decisions and reduce risk. Visit PipelinePodcastNetwork.com for a full episode transcript, as well as detailed show notes with relevant links and insider term definitions.

In this final Market Maker markets episode of the year, Anthony and Piers deliver a global recap of 2025's biggest winners, losers, and trends. From the AI-driven tech shake-up and Wall Street's banking boom to the surprise surge in Spain's stock market, they break down the key moves. Looking ahead to 2026, will inflation, a Fed leadership transition, or even a ‘Great AI Energy Blackout' derail the bull run? Listen in for clear insights, easy-to-follow strategy, and a few surprising predictions.(00:00) Intro & 2025 in Review(03:50) US Equity Sectors(05:08) Hyperscalers Dominant (14:41) AI Investment Ecosystem(21:01) Data Integration vs SaaS Stocks(22:45) Financials Stage a Comeback(30:18) Value Rotation(33:59) Healthcare Divisions(42:52) Highlights in Fixed Income(46:52) Gold Shines while Oil Slumps(49:54) The End of the US Dollar?(53:19) Outlooks for US Stocks in 2026(59:22) Potential Risks(1:02:38) Black Swan Event

Data integration in healthcare is redefining AI in sales and how sales enablement teams create real customer value. In this episode of B2B Sales Trends, we explore how modern sales leaders cut through dashboard noise, align sales and operations, and use AI to strengthen focus and trust - not replace human judgment. Harry Kendlbacher sits down with Robert Brandt, Vice President of Sales Operations at Medline Industries, to unpack how healthcare buying behavior is evolving - and what it takes to keep sellers focused on value instead of fire drills. This is a grounded, real-world conversation about customer perception, data integration, and the future of AI in B2B sales.

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.

Kevin Shtofman is the Global Head of Alliances and Corporate Development at Cherre, a real estate data platform powering over $3.3 trillion in AUM. With 20+ years of experience across real estate, finance, and consulting, Kevin leads global initiatives to integrate and contextualize data from systems, third parties, and JV partners, helping investors, operators, and asset managers make smarter decisions. At Cherre, he also oversees strategic partnerships, global expansion, and the innovation roadmap. Prior to joining Cherre, Kevin held leadership roles across the industry, including Chief Operating Officer at NavigatorCRE, and Global Real Estate Technology Strategy Lead at Deloitte, where he advised clients on emerging technologies like AI, automation, and blockchain. A recognized voice in real estate innovation, Kevin brings two decades of experience bridging data, operations, and technology across global real estate markets. Outside of work, Kevin is a golf enthusiast, occasional Ironman, and proud father of three daughters.(02:05) - Kevin's Background(05:19) - Challenges in Real Estate Data Management(06:52) - Cherre's Approach to Data Integration(13:48) - Evolution of Cherre's Platform(21:41) - Client Success Stories(24:58) - Future of Real Estate and AI(25:23) - Feature: Blueprint - The Future of Real Estate - Register for 2026: The Premier Event for Industry Executives, Real Estate & Construction Tech Startups and VC's, at The Venetian, Las Vegas on September 22nd-24th, 2026. As a friend of Tangent, you can save $300 on your All-Access pass(29:58) - Introducing Cherre AI Agent Marketplace(33:58) - AI Use Cases(40:06) - The Future of Real Estate Data(42:29) - Affordable Housing and Investment(47:37) - Collaboration Superpower: William Levitt (Wiki) & Larry Brown (Wiki)

Dr. JC Bonilla and Ardis Kadiu dive into the shifting landscape of artificial intelligence—from industry layoffs and OpenAI's trillion-dollar ambitions to what they're hearing on the ground at higher education conferences. With thousands of miles traveled and dozens of conversations had with CIOs, trustees, and technologists, this episode explores how AI is reshaping org charts, influencing new browser experiences, and slowly (but surely) becoming a real operational force across campuses. If you're curious about how agentic AI is showing up in enrollment marketing and student success, this is a must-listen.00:00 "AI Signals and Impacts"06:09 Amazon Restructures for Growth08:01 OpenAI Shifts to For-Profit Model10:41 "From Dot-Com Bust to AI Boom"13:55 "Sora 2: Revolutionizing Media Creation"17:49 Navigating IP and Content Challenges23:43 "OpenAI's Chromium-Based Innovation"25:04 Integrated Browsing Experience Insights29:04 "Agentic AI Shaping Economy"32:49 Driving Change in Education Leadership33:56 Evolving AI Trends in Education39:35 "Data Integration for Autonomy"43:02 "Transitioning to Agentic Workflows"45:07 AI: Operational Enabler, Not Novelty47:51 Driving Adoption for Agentic Workflows51:27 Generation AI: Enrollify Podcast Network - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dave Malda discusses the significance of iPaaS (Integration Platform as a Service) in the e-commerce sector. He explains how iPaaS serves as middleware that facilitates seamless data transfer between various systems, enhancing user experience and operational efficiency. The discussion highlights the importance of automation in reducing manual errors and improving overall business growth. Malda emphasizes the need for e-commerce businesses to consider integration solutions early on to stay competitive in a rapidly evolving market.TakeawaysiPaaS is an integration platform as a service that automates data transfer.It serves as middleware, connecting various systems in the cloud.Automation through iPaaS enhances user experience by providing timely updates.Manual processes can lead to delays and errors in data handling.High-volume businesses benefit significantly from implementing iPaaS solutions.E-commerce owners should prioritize integration to remain competitive.Custom integrations can hinder business efficiency and growth.Choosing the right platform is crucial for successful integration.iPaaS can help businesses market effectively to their customers post-purchase.Understanding the architecture of iPaaS is essential for leveraging its benefits.Chapters00:00Introduction to iPass and E-commerce Integration02:48Understanding Integration Platforms as a Service (iPaaS)05:19The Importance of Automation in E-commerce

Most think that algorithms are the modern root cause of innovations. But says not only are organizations today powered by data, they innovate through data. With several other colleagues, Marta is bringing data studies back to the forefront of information systems research. She produces workshops, a forthcoming book, and an online bibliography with seminal readings. We talk to Marta about the relationship between data and meaning, representation versus innovation, and whether we all soon live in a hyperreality created through synthetic data that lost all connection to the real-world. Episode reading list Alaimo, C., & Kallinikos, J. (2022). Organizations Decentered: Data Objects, Technology and Knowledge. Organization Science, 33(1), 19-37. Aaltonen, A., Stelmaszak, M., & Xu, D. The Data Studies Bibliography. . Chen, H., Chiang, R., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impacts. MIS Quarterly, 36(4), 1165-1188. Wand, Y., & Wang, R. Y. (1996). Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM, 39(11), 86-95. Xu, D., Stelmaszak, M., & Aaltonen, A. (2025). What is Changing the Game in Data Research? Insights from the “Innovating in Data-based Reality” Professional Development Workshop. Communications of the Association for Information Systems, 56(8), 194-208. Kent, W. (1978). Data and Reality. North-Holland. Hirschheim, R., Klein, H. K., & Lyytinen, K. (1995). Information Systems Development and Data Modeling: Conceptual and Philosophical Foundations. Cambridge University Press. Goodhue, D. L., Wybo, M. D., & Kirsch, L. J. (1992). The Impact of Data Integration on the Costs and Benefits of Information Systems. MIS Quarterly, 16(3), 239-311. Aaltonen, A., & Stelmaszak, M. (2024). Data Innovation Lens: A New Way to Approach Data Design as Value Creation. SSRN, . Recker, J., Indulska, M., Green, P., Burton-Jones, A., & Weber, R. (2019). Information Systems as Representations: A Review of the Theory and Evidence. Journal of the Association for Information Systems, 20(6), 735-786. Bowker, G. C., & Star, S. L. (1999). Sorting Things Out: Classification and Its Consequences. MIT Press. Baudrillard, J. (1981). Simulacra and Simulation. University of Michigan Press. Harari, Y. N. (2024). Nexus: A Brief History of Information Networks from the Stone Age to AI. Random House. Wittgenstein, L. (1953). Philosophical Investigations. Basil Blackwell. Stelmaszak, M., Wagner, E., & DuPont, N. N. (2024). Recognition in Personal Data: Data Warping, Recognition Concessions, and Social Justice. MIS Quarterly, 48(4), 1611-1636. Aaltonen, A., Stelmaszak, M., & Lyytinen, K. (Eds.). (2026). Research Handbook on Digital Data: Interdisciplinary Perspectives. Edward Elgar Publishing. 

Traditional AR and AP finance is no longer enough. With evolving disclosure requirements, tariff pressures, and increasing supplier expectations, treasurers must deliver liquidity and visibility with fewer resources while managing heavier supplier demands. In this episode, Sean VanGundy and Jeremy Reedus join Craig Jeffery from Strategic Treasurer and Michel Abranches from Monkey Tech (Money is Key) to explore how working capital 2.0 helps treasurers move beyond one-size-fits-all programs. They discuss how hybrid approaches, such as auction-based supplier financing for lower rates alongside automated dynamic discounting, can optimize AR and AP, strengthen supplier adoption, and deliver measurable EBITDA impact. The conversation also highlights how real-time visibility gives treasurers a true decision cockpit and how removing the lift of supplier onboarding and support enables higher participation and improved governance. https://www.monkeytech.com/

Industrial Talk is onsite at SMRP 2025 and talking to Manpreet Singh, CEO/CTO at Nanoprecise about "Energy Centered Maintenance". Scott Mackenzie interviews Manpreet Singh, CEO of Nanoprecise, about their energy-centric maintenance technology. Nanoprecise's "Machine Doctor" uses sensors to diagnose and prescribe maintenance for machines, linking mechanical issues to energy consumption. Singh highlights that 75% of a machine's life cycle cost is electricity, and even minor faults can increase energy consumption by 5%. The platform integrates with existing systems like CMMS and uses AI algorithms to improve efficiency and reduce energy waste. Singh emphasizes the importance of augmenting maintenance professionals' skills to address the industry's talent crunch. Action Items [ ] Reach out to Manpreet Singh (CEO, Nanoprecise) to learn more about the company's solutions.[ ] Connect with Manpreet Singh on LinkedIn. Outline Introduction and Welcome to Industrial Talk Podcast Speaker 1 introduces Scott Mackenzie as the host of the Industrial Talk Podcast, highlighting his dedication to industry innovations and trends.Scott MacKenzie welcomes listeners to the podcast, celebrating industry professionals and their contributions to changing lives.Scott mentions the current location at the SMRP event, noting the ongoing work and the need to lay down carpet.Scott introduces the guest, Manpreet Singh, and the topic of energy-centered maintenance, expressing excitement about the discussion. Manpreet Singh's Background and Career Journey Manpreet Singh shares his background as an engineer, starting in the manufacturing industry with pressure vessels and heat exchangers.He discusses his transition to renewable projects, his interest in IoT, and his experience in health tech before moving to Canada.Manpreet joined Nanoprecise as CTO in early 2023 and has since taken over as CEO, leading the company's growth and development.Scott and Manpreet discuss their shared background in renewable energy, specifically in solar projects. Overview of Nanoprecise and Energy-Centered Maintenance Manpreet explains Nanoprecise's technology, called Machine Doctor, which senses and diagnoses machine parameters and prescribes necessary actions.He highlights the importance of energy-centered maintenance, linking mechanical issues to energy consumption.Scott inquires about the applicability of Nanoprecise's solution to assets in motion, and Manpreet confirms their focus on rotary equipment.Manpreet provides insights into the significant energy waste due to inefficiencies and faults in machines, emphasizing the need for better maintenance practices. Energy Consumption and Life Cycle Costs Manpreet discusses the impact of minor and major faults on energy consumption, noting that a minor issue can increase energy consumption by 5%, while a major fault can increase it by 25-40%.Scott and Manpreet agree on the importance of reducing energy consumption to improve overall efficiency.Manpreet explains that 75% of the life cycle cost of a motor-driven machine is electricity, making energy efficiency crucial.The conversation shifts to the paradigm shift in maintenance practices, focusing on both mechanical health and energy consumption. Data Integration and Platform Capabilities Manpreet describes Nanoprecise's platform, which integrates sensor data and provides actionable insights.He explains the importance of correlating mechanical health with energy...

In this special Cloud Wars interview, Oracle Executive Vice President for Applications Development Steve Miranda joins Bob Evans to discuss how Oracle's transformation from CloudWorld to AI World signals a seismic leap in enterprise technology. Miranda shares how Oracle has delivered more than 600 agents, launched the Agent Studio and Marketplace, and unified AI capabilities across its Fusion Applications and industry verticals. The result: a powerful convergence of data, intelligence, and automation driving the next wave of business transformation.AI-driven EnterpriseThe Big Themes:Oracle's Next Seismic Shift: Oracle's renaming of CloudWorld to AI World isn't a branding exercise, it's a declaration. Just as “OpenWorld” and “CloudWorld” reflected past technology revolutions, “AI World” marks Oracle's belief that AI represents a shift of even greater magnitude. Miranda describes this era as one where automation and intelligence redefine enterprise operations. Oracle's applications division is now delivering hundreds of AI-driven agents and features at unprecedented speed.Agents Everywhere: In just two years, Oracle has gone from announcing 50 generative AI features to delivering over 600 agents across its Fusion and vertical applications. These agents automate tasks, surface insights, and optimize processes, often eliminating manual decision-making entirely. Oracle's rapid release cadence (quarterly updates backed by Oracle Cloud Infrastructure (OCI)) means customers constantly inherit new capabilities without disruption.OCI, the Engine: Oracle's leadership in hosting and training large language models within Oracle Cloud Infrastructure (OCI) gives its applications a built-in edge. Customers automatically benefit from the latest AI tools, performance improvements, and model upgrades without manual migration. OCI's second-generation architecture, featuring Exadata, cloud-native identity, and networking, delivers both reliability and continuous innovation.The Big Quote: “For many of our customers, it's great timing to have AI delivery, because they've gone live. They've gone through multiple phases. They're on the cloud. They're used to getting quarterly updates. Now, this is a big thing, but they're used to that people part of the transformation." Visit Cloud Wars for more.

This episode explores how treasury teams can unlock the full value of their data. Paul Galloway breaks down key challenges like integration and trust, covers tools from TMS platforms to AI and APIs, and discusses forecasting models. Learn how to build a stronger data architecture and use forecasting techniques that improve visibility and decision-making across the organization.    

In this episode of IDEA Collider, we are joined by Alex Telford, a biotech founder, writer, and thinker based in the San Francisco Bay Area. As the co-founder of Convoke Bio, Alex discusses his journey from studying biochemistry at UCL to founding a company that develops software tools for streamlining biopharmaceutical workflows.The conversation dives into the impact of AI and language models on the biotech industry, addressing inefficiencies in drug development, and exploring the potential of synthetic biology and personalized medicine. The discussion also touches on the future of drug discovery, China's role in biotech, and the challenges of understanding neuroscience and consciousness. Don't miss this insightful discussion on the future of biopharma innovation! 00:00 Welcome to Idea Collider00:04 Introducing Alex Telford01:59 Alex's Journey from UCL to Convoke Bio05:29 The Mission and Work of Convoke Bio07:57 Challenges in Pharma Decision Making14:05 The Role of AI in Pharma18:26 Knowledge Management and AI27:58 Staying Updated in the Fast-Moving AI Field30:25 AI's Impact on Industry Economics31:38 AI in Clinical Trials and Drug Development35:56 China's Role in Drug Discovery39:24 Neuroscience and AI: Blurring the Lines46:05 Future Predictions in Pharma51:20 Addressing Cognitive Bias in Pharma53:13 Concluding Thoughts and Future Directions Keep up with Alex Telford;LinkedIn: https://www.linkedin.com/in/alexander-telford/Website: atelfo.github.ioX: https://twitter.com/atelfoSubstack: atelfo.substack.com Follow Mike Rea On;Website: https://www.ideapharma.com/X: https://x.com/ideapharmaLinkedIn: https://www.linkedin.com/in/bigidea/ Listen to more fantastic podcast episodes: https://podcast.ideapharma.com/

This episode is sponsored by SGNL. Visit sgnl.ai/idac to learn more.In this sponsored episode of Identity at the Center podcast, hosts Jeff and Jim discuss hot trends in the identity space, focusing on continuous identity with their guest Erik Gustavson, co-founder and CPO at SGNL. Erik shares his journey into the IAM space, exploratory projects, the thought processes behind SGNL's continuous identity solutions, and provides insights on how SGNL's approach integrates with existing identity and security tools. He delves into trends such as the convergence of identity and security, the generational change in identity tech, and the practical use cases SGNL addresses. The episode concludes with a light-hearted conversation about the perfect meal for Jeff, reflecting Eric's passion for cooking.Connect with Erik: https://www.linkedin.com/in/erikgustavson/Learn more about SGNL: https://sgnl.ai/idacTimestamps00:00 Introduction and Episode Overview00:36 Sponsor Spotlight: SGNL01:10 Guest Introduction: Erik Gustavson01:41 Eric's Journey into the IAM Space05:47 Role of a Chief Product Officer07:54 The Concept of Continuous Identity20:26 Data Integration and Policy Enforcement26:40 Target Audience for SGNL29:42 Introduction to SGNL's Ecosystem30:13 Complementing Existing Systems30:44 Challenges with Current Identity Solutions33:27 New Trends in Authorization Management34:09 Aligning with AMP and PBA37:58 Use Cases and Real-World Applications46:31 What Sets SGNL Apart48:37 Future Trends in Identity and Security52:35 A Lighter Note: Cooking and Personal Interests58:32 Conclusion and Final ThoughtsConnect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.com

Marketing teams waste 73% of their budget on misdirected campaigns. Eddie Patzsch, marketing strategist at Optimove, explains why data integration outperforms content personalization when resources are limited and shares insights from working with enterprise CMOs who prioritize technical foundations over creative campaigns. The discussion covers frameworks for shifting from perception-based to data-driven marketing decisions and strategies for building technical marketing leadership that drives measurable ROI through accurate audience targeting.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Can you have too much data for an AI application? In the mad dash to collect the raw material for AI applications, it can be tempting to pull in as much as you can. Product manager Emily Jasper returns to the podcast with a set of recommendations for more strategic use of data with host Eric Hanselman. Just as it might not be wise to load up on everything on a buffet, being strategic about using the data that best suits the goals of your project can improve outcomes and help to manage risk. By understanding the data that you're putting to work, you can bound the universe of outcomes and simplify the process of bringing it into the AI application pipeline. At the same time, the process of data governance becomes clearer when the sources are better understood.  Bringing an understanding of the set of data resources that an enterprise has is critical and has to be accompanied by knowledge of the quality of that data. The principles of library sciences are back in focus in AI, as organizations work to curate data characteristics and provenance. As in so much of AI, matching the ecosystem of tools, data providers, and capabilities to the use cases being built is fundamental to project success. Managing risk in AI has become a process of bringing the right data to the right problem. More S&P Global Content: The path from LLMs to agentic AI Next in Tech | Ep. 224: Context Around MCP Next in Tech | Ep. 225: Security for MCP For S&P Global Subscribers: Data Management Market Monitor & Forecast Automation pervades data management practices – Highlights from VotE: Data & Analytics Technology Primer: Model Context Protocol explained The evolution of agentic process automation: Midyear market and technology update Pace of AI agent advancement could spur M&A in the sales automation market Credits: Host/Author: Eric Hanselman Guest: Emily Jasper Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

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)

In this episode of The Full Desk Experience's Industry Spotlight, Chris Hesson joins Kortney Harmon to cut through the AI hype and reveal how recruiters are truly reshaping their day-to-day processes. Chris brings years of experience working with hundreds of recruiting teams, offering a behind-the-scenes look at how AI is streamlining workflows, surfacing new insights, and freeing recruiters to focus on the one thing AI can't replace: relationships.Key insights you can't miss:How AI is helping recruiters move from fragmented, “spray and pray” sourcing to structured, targeted outreachReal numbers on time savings—up to 11 hours a week— and what top firms are doing with that extra capacityThe evolving role of operations leaders in aligning tech, data, and process for sustainable successWhy relationships remain the differentiator, and how AI can strengthen—not weaken—the human touchIs your team chasing every new AI tool without a clear process? Are you saving time but not reinvesting it in the conversations and relationships that drive revenue?Press play now to hear Chris's proven insights and discover how to future-proof your recruiting desk in the AI era._________________Follow Chris Hesson on LinkedIn: LinkedIn | ChrisFDE+: AI Recruiting Revolution Conference: https://fde-ai-recruiting-advantage.heysummit.com/Follow Crelate on LinkedIn: https://www.linkedin.com/company/crelate/Want to learn more about Crelate? Book a demo hereSubscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience 

What's really going on in freight brokerage right now? Why are rates stuck, and how should we position ourselves as brokers for the next market shift? Together with our guest today, Ken Adamo of DAT Freight & Analytics, we dig into the supply-and-demand imbalance that's keeping rates flat, the impact of tariffs and interest rates on shipper behavior, and why DAT's acquisition of Convoy's tech could change how we approach automation! Plus, the reality of cold calling in a stagnant market, how shorter RFP terms make sense right now, and why consistent service still beats chasing margin in building trust with shippers! Hear all these and more from today's episode!   About Ken Adamo Ken Adamo, Chief of Analytics and Vice President of Strategy and Business Development at DAT Freight & Analytics, leads strategy, customer engagement, and industry analysis. He played a key role in DAT's acquisition of Trucker Tools, strengthening the company's visibility solutions. A recognized expert in freight market trends, Adamo has helped customers navigate shifting conditions by translating complex data into practical insights. He has led key strategic initiatives, advanced predictive analytics, and serves as a trusted resource for industry analysts, customers, and journalists. Before DAT, he led pricing and decision science teams at FedEx, developing forecasting models to optimize decision-making and profitability. He was named a 2025 Pro to Know (Rising Stars category) by Supply & Demand Chain Executive and has been quoted in the Wall Street Journal and trade publications. Ken holds a bachelor's degree in Finance from the University of Akron and an MBA from The Ohio State University.   Connect with Ken Website: https://www.dat.com/  LinkedIn: https://www.linkedin.com/in/ken-adamo-8481611a/ / https://www.linkedin.com/company/dat-freight-and-analytics/  

Matthew and Mo dive into this week's hottest fitness topics — from personal diet experiments to the future of wearables in healthcare, political plays in fitness, market shifts in Pilates, and the explosive rise of Hyrox. This no-guest episode is packed with insights, debates, and predictions shaping the fitness industry. In this episode: • Matthew's 5-week results on the Warrior Diet. • Mo's take on the White House wearable health initiative. • The political and cultural impact of reviving the Presidential Fitness Challenge. • Why Pilates is booming — and if it's nearing saturation. • Planet Fitness' rumored acquisition of Basic-Fit. • How Hyrox is becoming a lifestyle brand. • Predictions for the next mega-brands in fitness.   Support fitness industry news by sponsoring future LIFTS episodes. Contact us at wendy@escapefitness.com for advertising opportunities. Subscribe on YouTube and turn on notifications so you never miss a new video: https://www.youtube.com/user/EscapeFitness

Guest: Dr. Neal DriscollWildfire season used to have a start and end date, but in today's climate, it feels like it never really stops. As flames race across parched landscapes and smoke clouds drift for miles, the stakes for early detection, response, and resilience have never been higher. Enter ALERTCalifornia, a groundbreaking program using high-tech cameras, real-time data, and cutting-edge research to help first responders and communities stay one step ahead of disaster. At the center of it all is Dr. Neal Driscoll, who is leading this powerful collaboration between science, public safety, and technology. How can a network of mounted cameras change the way we fight wildfires? And what's next for one of the most advanced wildfire monitoring systems in the world?Chapters00:00 Introduction to Wildfire Challenges02:43 The Alert California Program06:06 AI and Camera Technology in Fire Detection08:52 Collaboration with CAL FIRE11:56 Operational Impact and Community Involvement14:56 Weather's Role in Fire Management17:43 Data Integration and Future Prospects20:53 Public Engagement and Awareness23:48 Cascading Disasters and Multi-Hazard Approach26:52 Future of Alert California and Technology Advancements29:39 Conclusion and Call to ActionSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Unlock the power of Alteryx for tax professionals in this insightful episode of Alter Everything! Join us in an interview with Adrian Steller, Director of Tax Technology at Ryan, to explore how Alteryx revolutionizes tax processes, automates data workflows, and enhances efficiency for tax teams. Discover real-world Alteryx use cases in VAT compliance, transfer pricing, and automation, and learn practical tips for transitioning from Excel to Alteryx. Whether you're a tax analyst, data professional, or business leader, this episode provides actionable insights on leveraging Alteryx for tax data transformation, reporting, and analytics.Panelists: Adrian Steller, Director @ International Tax Technology - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Ryan (Company)Ryan Tax Lab (Podcast)Alteryx Community BlogsAlteryx Help Docs Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

Chain.io is a vertical integration platform deeply embedded in the shipping and logistics space, helping connect massive freight companies with retail brands through the millions of messages required to track shipments and navigate customs. With $18 million in funding, the company has positioned itself as critical infrastructure for an industry that became front-page news during COVID. In this episode, Brian Glick shares hard-won lessons about building in a legacy industry, the realities of enterprise sales cycles, and why he never took himself out of the sales process. Topics Discussed: Building vertical iPaaS for logistics before the category existed in supply chain How COVID accelerated understanding of data movement as a strategic problem The challenge of selling complex integration technology to legacy industries Transitioning from founder-led sales while maintaining founder involvement Using podcasting as relationship-building infrastructure for 10-year customer lifecycles Building authentic employee thought leadership without formal programs The impact of AI on traditional integration and data movement businesses GTM Lessons For B2B Founders: Don't fully remove yourself from enterprise sales—strategically deploy your founder advantage: Brian learned that completely stepping back from sales was a mistake. Instead, he discovered the power of strategic founder involvement: "As a founder I am an incredible asset to my team, but that doesn't mean I have to be on every meeting." He now enters deals at the beginning to build relationships, trusts his sales team to advance opportunities, then returns at crucial moments to help close negotiations. This approach maximizes founder value while empowering the sales team. Timing pain points matters more than pain intensity: Chain.io experienced a counterintuitive sales pattern during COVID—initial uptick as customers felt pain, followed by a downturn when pain became overwhelming. Brian observed: "A little bit of pain is good for sales... when it gets too much pain, people freeze up." B2B founders should recognize that acute customer pain creates urgency, but excessive pain paralyzes decision-making. The sweet spot is when customers feel enough discomfort to act but retain capacity to evaluate new solutions. Legacy industries require relationship-based, not scale-based GTM motions: After trying to build a "standard SaaS BDR SDR style go-to-market machine," Brian realized it was wrong for both his market timing and industry culture. He pivoted back to relationship-driven sales focused on live events and consultative engagement. For enterprise logistics customers making decisions that affect 40 countries, "nothing is simple and no decision is made by one person who's going to click a buy now button." Founders in traditional industries should think more like SAP than HubSpot. Use podcasting as relationship infrastructure, not lead generation: Brian launched his podcast "almost day one" as free marketing, but discovered its real value in relationship building for long sales cycles. He doesn't track metrics or measure ROI traditionally, noting: "I know that I've gotten a CIO of a major freight company... [who] sent me a screenshot of my podcast... and I know how much that one customer pays me is more than I've ever invested in the podcast." For B2B founders with complex sales cycles, content should build relationships rather than optimize for attribution. Build category understanding through customer education, not just problem-solving: When Chain.io launched in 2017, "that category did not exist in supply chain." Brian spent years helping customers understand that data movement was a strategic, first-tier problem rather than something "you tack on the end of some other project." Category creation often requires patient market education—founders must be prepared to invest in customer understanding before expecting rapid adoption, especially in conservative industries.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM 

In this bonus episode recorded live from the eduWeb Summit, Dustin speaks with Thomas Steinman from Halda about how AI is reshaping the future of admissions and marketing—one prompt at a time. From demystifying AI in the hands-on “AI Studio” at the event to making the case for stronger data integration, Thomas breaks down what higher ed pros need to know about creating more personalized, scalable student experiences. The theme? Start small, stay curious, and let the data do the heavy lifting.Guest Name: Thomas Steinman - Director of Strategic Partnerships at Halda.AIGuest Social: LinkedInGuest Bio: As Director of Strategic Partnerships at Halda, Thomas Steinman helps to transform the way higher education institutions engage with prospective students. He works with his teams to craft red-carpet web experiences that captivate and inspire. Thomas is proud to help schools reimagine their online presence, revolutionizing how they connect with students and showcase their value. - - - -Connect With Our Host:Dustin Ramsdellhttps://www.linkedin.com/in/dustinramsdell/About The Enrollify Podcast Network:The Higher Ed Geek is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

In this episode of FP&A Tomorrow, host Paul Barnhurst welcomes Adam Rakich, founder and Consulting Director at North Texas, to discuss why the budgeting process is universally loathed and how to fix it. Drawing from decades of experience implementing planning and consolidation systems, Adam shares strategies to transform budgeting from a burdensome task into a strategic advantage. With humor, insight, and plenty of real-world experience, Adam breaks down common pitfalls and offers practical, actionable advice for finance professionals at every level.Adam Rakich has spent over a decade streamlining finance processes across industries, working with top software platforms like Adaptive Insights, Workday, and OneStream. As the author of The Business User's Guide to Data Integration, he is known for making complex finance concepts accessible, especially to non-technical professionals. At North Texas, Adam helps organizations build better, more collaborative FP&A functions without the pain.Expect to Learn:Why most budgeting processes are broken and how to shift the mindset to fix them.The importance of soft skills in elevating finance's strategic impact.How to avoid the "Jurassic Park" trap of doing more just because you can.The value of driver-based planning and why simplicity often beats complexity.The "James Bond Philosophy" of budgeting: when to seduce and when to take a firmer stance.Here are a few quotes from the episode:"The James Bond approach to budgeting: seduce when you can, shoot when you have to metaphorically, of course." - Adam Rakich"Pick your battles. If you ask for everything, people will tune out and give you nothing." - Adam Rakich"Budgeting works best when it's not adversarial. Finance shouldn't be the department of ‘no'." - Adam RakichAdam shared valuable insights into why budgeting processes often fall short and how a shift in mindset can make all the difference. He emphasized the power of simplicity, the role of soft skills in finance, and the importance of involving stakeholders in meaningful ways. His practical advice on driver-based planning, managing expectations, and building strong business relationships offers key takeaways for finance professionals looking to lead more effective and collaborative FP&A functions.Corporate Finance Institute: You know the numbers. Now it's time to own the story.The new FP&A Professional (FPAP) Certification from CFI is built for finance professionals who want to lead with insight-not just report the data.Learn more at: https://corporatefinancialinstitute.pxf.io/c/6003589/3067930/23723Follow FP&A Tomorrow:Newsletter - Subscribe on LinkedIn - https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6957679529595162624 Follow Adam:LinkedIn - https://www.linkedin.com/company/northexis/Website - https://northexis.com/Follow Paul: Website - https://www.theFP&Aguy.com LinkedIn - https://www.linkedin.com/in/thefpandaguyEarn Your...

In an era defined by unpredictable trade tensions, the semiconductor industry finds itself at the epicenter of economic and geopolitical uncertainty. This episode unpacks insights from The Future of Commerce, exploring why traditional manufacturing strategies are no longer enough—and how leading firms are responding.From multi-tiered supplier networks to AI-driven modeling tools, companies are rethinking how they build, plan, and respond. And it's not just about survival. With the right tech stack and strategic foresight, some firms are turning disruption into competitive advantage.What You'll Learn in This Episode:Why Tariff Strategies Alone Fall ShortWhy moving chip production isn't fast or simpleHow geopolitical volatility outpaces long-term planningThe Case for Flexible, Multi-Path Supply ChainsBuilding diverse supplier ecosystems beyond single-threaded modelsUsing predictive tools to identify optimal sourcing routesThe Role of Data Integration and AIConnecting finance, procurement, planning, and logistics for real-time agilityHow generative AI helps generate adaptive strategies, not just dashboardsHow Scenario Modeling Guides Strategic Capacity InvestmentsWeighing factory builds, incentives, and tariff scenarios in places like India and the U.S.When doing nothing—or delaying—might actually be the smartest moveKey Takeaways:Tariff uncertainty is now a constant—not an exceptionSupply chain resilience is built on optionality, not just redundancyIntegrated systems and predictive analytics give companies speed, visibility, and confidenceAI and scenario modeling help firms shift from reactive decisions to proactive strategyIn today's global economy, preparation is power—and data is the advantageSubscribe to our podcast for expert insights on supply chain resilience, global trade trends, and intelligent commerce. Visit The Future of Commerce for data-backed research on how businesses can adapt to disruption and thrive. Share this episode with business strategists, procurement teams, and anyone navigating complexity in global manufacturing.

The Missing Data Stack for Physical AI // MLOps Podcast #328 with Nikolaus West, CEO of Rerun.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractNikolaus West, CEO of Rerun, breaks down the challenges and opportunities of physical AI—AI that interacts with the real world. He explains why traditional software falls short in dynamic environments and how visualization, adaptability, and better tooling are key to making robotics and spatial computing more practical.// BioNiko is a second-time founder and software engineer with a computer vision background from Stanford. He's a fanatic about bringing great computer vision and robotics products to the physical world.// Related LinksWebsite: rerun.io~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Niko on LinkedIn: /NikolausWestTimestamps:[00:00] Niko's preferred coffee[00:35] Physical AI vs Robotics Debate[04:40] IoT Hype vs Reality[12:16] Physical AI Lifecycle Overview[20:05] AI Constraints in Robotics[23:42] Data Challenges in Robotics[33:37] Open Sourcing AI Tools[39:36] Rerun Platform Integration[40:57] Data Integration for Insights[45:02] Data Pipelines and Quality[49:19] Robotics Design Trade-offs[52:25] Wrap up

In this episode of CPM Customer Success, we dive deep into one of the most persistent challenges in Finance: data integrity. Host Andy walks through how fragmented systems, manual reconciliations, and inconsistent data definitions wreak havoc on financial reporting and compliance. But the real focus? How OneStream solves it all in one unified platform. Learn how OneStream's built-in Data Quality Engine catches issues at the source—before the close, before the audit, and before trust erodes. We spotlight two powerful success stories: a global auto supplier and a leading insurance company that both transformed their close cycles and restored confidence in their numbers. Expect actionable insights on: Automating data validation and intercompany eliminations Eliminating Excel-based reporting risks Strengthening SOX and IFRS compliance Integrating ESG reporting with finance data Enabling full audit traceability and drill-down transparency Whether you're dealing with five ERPs, preparing for regulatory audits, or chasing intercompany mismatches across time zones, this episode is your blueprint for building trust, speed, and control into your finance operations—with OneStream.

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.

In this episode, Brent Hutto of Truck Parking Club joins us to share their initiative to address truck parking challenges and provide safe and efficient parking, targeting large and medium fleets! Listen to our conversation!   Here's What to Learn From This Episode: Truck Parking Club's Mission: Solving truck parking issues, from single-truck solutions to scalable options for fleets, and enabling property owners to monetize their land. Value Shift for Parking: Truck Parking Club aims to reposition paid parking as a profitability and risk management tool for fleets. The recent partnership with GenLogs enhances cargo theft recovery by supplying law enforcement with real-time parking data, thereby adding value for brokers and shippers. Legal Parking Importance: The necessity of legal parking to mitigate liability and avoid nuclear verdicts. The company is rapidly expanding, with over 2,000 locations and plans for 5,000, which aids operational efficiency. Integrating parking data into route planning helps maximize driver hours and profitability, reducing turnover and stress.  

Industrial Talk is onsite at DistribuTech 2025 and talking to Kellie De Pooter, Director, Global Marketing and Internal Communications at G&W Electric Co. about "A resilient and reliable grid". Scott MacKenzie hosts an industrial talk podcast featuring Kellie De Pooter, Global Director of Marketing and Communications at G&W Electric. Kellie discusses the growth of the DistribyTech event in Dallas, Texas, and the importance of collaboration with utilities. G&W Electric's booth features an innovation corner for customer feedback on new products. They focus on resiliency, reliability, and digitalization, using sensing technology and condition-based monitoring to improve grid performance. Kellie highlights a successful collaboration with a customer on a 69 kV apparatus. The conversation also touches on the increasing demand for power due to AI and data centers, emphasizing the need for efficient data utilization. Action Items [ ] Integrate G&W's sensing technologies into their overhead reclosers and underground switches to provide more granular data to utilities. [ ] Explore ways to seamlessly integrate the data from G&W's solutions into utilities' own cloud/SCADA systems. [ ] Collaborate with customers to pilot G&W's new condition-based monitoring and asset management solutions. Outline Kellie De Pooter G&W Electric: Introduction and Event Overview Scott MacKenzie introduces the Industrial Talk podcast, highlighting its focus on industry innovations and professionals. Scott welcomes listeners and mentions the event being broadcasted from DistribuTech in Dallas, Texas. Scott introduces Kellie De Pooter, Global Director of Marketing and Communications for G&W Electric, and praises her previous appearances on the show. Kellie De Pooter confirms her presence at the event and discusses the growth of the event, noting its global expansion. Kellie De Pooter's Role and G&W Electric's Booth Kellie De Pooter explains her role at G&W Electric, a 120-year-old company based in Chicago, and their products for utilities and commercial/industrial customers. Scott comments on the impressive booth setup by G&W Electric, which won an award last year. Kellie describes the innovation corner in their booth, which is invite-only and used to gather customer feedback on new, unmarketed products. The innovation corner allows for collaborative problem-solving and potential development of new solutions. Challenges in the Utility Sector Scott and Kellie discuss the challenges faced by the utility sector, including increasing power demand and the need for modernization and digitalization. Kellie emphasizes the importance of resiliency and reliability of the grid, and the role of AI and other technologies in addressing these challenges. G&W Electric is investing in sensing technology and condition-based monitoring to help utilities make better decisions and improve grid reliability. The company is working with a partner to test and develop these technologies, with plans to scale them across the industry. Data Integration and Analytics Scott inquires about the process of integrating data from G&W Electric's apparatus into the cloud and how it is analyzed. Kellie explains that the data is currently being pushed to the partner's cloud, but plans are in place to integrate with utilities' existing systems.

Welcome to The Ecommerce Braintrust podcast, brought to you by Julie Spear, Head of Retail Marketplace Services, and Jordan Ripley, Director of Retail Operations. Today, we're thrilled to welcome two fantastic guests: Lauren Livak Gilbert, Executive Director of the Digital Shelf Institute, and Jon Harding, SVP and Global CIO at Conair. They're here to share insights from a recent report they released in partnership with MikMak—a practical guide to managing technology change across the business, specifically how to leverage IT teams to accomplish transformational growth. Tune in to find out more!  

This week on the Fitness + Technology podcast, host Bryan O'Rourke welcomes Marco Benitez to the show. Marco is the CEO & Founder of ROOK, a wearable API that transforms health data and empowers apps and software with actionable insights. ROOK easily processes and embeds data from hundreds of wearables with single integration and shares access to deeper understanding and more actionable insights that allows users to make more informed decisions, find better solutions, and drive innovation. Today, Marco joins Bryan to talk about his business, data usage, and the implications on our industry. One Powerful Quote: 15:36: “The alignment between healthcare and fitness is the new name of wellness. Wellness is prevention.” 4-10 Bullet Points (w/ timestamps) - Highlighting key topics discussed: 2:50: Bryan asks Marco about his background and his business, ROOK.  10:34: Bryan inquires with Marco about unifying data standards as the biggest opportunity and challenge for health. 13:46: Bryan and Marco talk about the delivery system of healthcare and benefitting from data collection. 19:58: Bryan and Marco talk about ROOK. 22:25: Marco shares his pearls of wisdom to the listeners.  Bullet List of Resources: https://www.tryrook.io/ https://beyondactiv.com/ Guest Contact Information: https://www.linkedin.com/in/marcobzg/ https://www.bryankorourke.com/ https://www.linkedin.com/in/bryankorourke/ http://www.fittechcouncil.org/ https://www.youtube.com/user/bko61163

In this episode, George interviews Allison Fine, President of Every.org, about their innovative donation platform for nonprofits. Fine discusses Every.org's unique value proposition, including no transaction or setup fees, acceptance of various payment methods including cryptocurrency, and a focus on meaningful donor engagement. The conversation also covers the challenges of maintaining a zero-fee model, Every.org's growth spurred by partnerships with notable philanthropists, and their use of AI to enhance storytelling and donor relations. The episode highlights Every.org's significant impact, having raised over $110 million for over 7,000 organizations, and their recent success with fiscal sponsorships. Fine offers valuable insights into relational fundraising and the benefits of using Every.org's platform to simplify and maximize fundraising efforts. 00:00 Introduction and Guest Welcome 00:49 Elevator Pitch for Every.org 01:39 Challenges and Solutions in Nonprofit Fundraising 03:17 Focus on Nonprofit Experience and Technology 05:58 Data Integration and CRM Challenges 09:37 The Importance of Relational Fundraising 17:14 Future Plans and Exciting Developments 19:37 Conclusion and Final Thoughts

My guest today is Kelly Granat. Kelly is the Co-Chief Investment Officer and Managing Director at Lone Pine Capital, one of the most storied and successful hedge fund and investment firms of the last several decades. We explore how investing has evolved since Kelly joined the industry and she shares insights into Lone Pine maintaining its edge through deep fundamental research and a collaborative culture. We discuss what makes great businesses and great investments, how leadership can transform companies, and Kelly's perspective on evaluating management teams and identifying opportunities around corporate change that the market often misprices. Please enjoy my conversation with Kelly Granat. Subscribe to Colossus Review. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Ramp is the fastest-growing FinTech company in history, and it's backed by more of my favorite past guests (at least 16 of them!) than probably any other company I'm aware of. Go to Ramp.com/invest to sign up for free and get a $250 welcome bonus. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Imagine completing your research five to ten times faster with search that delivers the most relevant results, helping you make high-conviction decisions with confidence. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. – This episode is brought to you by Ridgeline. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. I think this platform will become the standard for investment managers, and if you run an investing firm, I highly recommend you find time to speak with them. Head to ridgelineapps.com to learn more about the platform. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Learn About Ramp, Alphasense, & Ridgeline (00:06:09) Market Structure Evolution (00:08:39)The Impact of Passive Investing (00:10:21) Collaboration & Team Dynamics (00:13:48) Excitement in Periods of Extreme Change (00:14:21) The Role of Competition & Curiosity (00:22:00) Fundamental Research & Data Integration (00:27:34) Investment Philosophy (00:35:31) People-Centric Investing (00:42:24) Succession Planning (00:49:32) Facing the Pressure of Early Success (00:50:31) Burnout & Rediscovery (00:57:08) Learning from Industry Leaders (00:58:04) Evaluating Talent and Competition (01:11:29) Lessons in Investment (01:27:27) The Kindest Thing Anyone Has Ever Done For Kelly 

Send Everyday AI and Jordan a text messageYour data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Barr questions on AI and dataUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. the Importance of Data2. Challenges and Opportunities in Leveraging Data3. Adoption of Data Practices4. Data Use Case Examples5.Generative AI, LLMs, and Data IntegrationTimestamps:00:00 Empower AI proficiency with daily insights.06:02 Data observability ensures reliability and issue resolution.07:15 Understanding data's importance is crucial for businesses.13:07 Personalized AI relies on unique enterprise data.15:20 Large enterprises struggle with data consistency, smaller teams advantage.19:42 Generative AI analyzes sports data for insights.22:56 Personalized financial products using reliable data.23:56 Credit Karma Intune boosts external and internal productivity.28:02 Peak data reached; synthetic data becomes crucial.30:36 Recap available on your everydayai.com.Keywords:Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management. Ready for ROI on GenAI? Go to youreverydayai.com/partner

Dr. Corey Callaghan, Assistant Professor of Wild Ecology and Conservation at the University of Florida, joins us to discuss the dynamics of citizen science and how data collected by bird watchers and turkey hunters can contribute to wildlife research. Be sure to download the eBird app in the show notes below to help us double the turkey observations this season! Resources: Callaghan, C. T., et al. (2021). Global abundance estimates for 9,700 bird species. Proceedings of the National Academy of Sciences.   Deer University eBird Florida Wildlife Corridor  iNaturalist Merlin Bird ID Natural Resources University Network NWTF Proposal Application  Snapshot USA   Donate to wild turkey research: UF Turkey Donation Fund , Auburn Turkey Donation Fund  Do you have a topic you'd like us to cover? Leave us a review or send us an email at wildturkeyscience@gmail.com!   Dr. Corey Callaghan Website, Publications Dr. Marcus Lashley @DrDisturbance, Publications Dr. Will Gulsby @dr_will_gulsby, Publications Turkeys for Tomorrow @turkeysfortomorrow  UF DEER Lab @ufdeerlab, YouTube   Please help us by taking our (QUICK) listener survey - Thank you!  Check out the NEW DrDisturbance YouTube channel! DrDisturbance YouTube Watch these podcasts on YouTube Leave a podcast rating for a chance to win free gear! Get a 10% discount  at Grounded Brand by using the code ‘TurkeyScience' at checkout! This podcast is made possible by Turkeys for Tomorrow, a grassroots organization dedicated to the wild turkey. To learn more about TFT, go to turkeysfortomorrow.org.    Music by Artlist.io Produced & edited by Charlotte Nowak

Send Everyday AI and Jordan a text messageYour data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Barr questions on AI and dataUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. the Importance of Data2. Challenges and Opportunities in Leveraging Data3. Adoption of Data Practices4. Data Use Case Examples5.Generative AI, LLMs, and Data IntegrationTimestamps:00:00 Empower AI proficiency with daily insights.06:02 Data observability ensures reliability and issue resolution.07:15 Understanding data's importance is crucial for businesses.13:07 Personalized AI relies on unique enterprise data.15:20 Large enterprises struggle with data consistency, smaller teams advantage.19:42 Generative AI analyzes sports data for insights.22:56 Personalized financial products using reliable data.23:56 Credit Karma Intune boosts external and internal productivity.28:02 Peak data reached; synthetic data becomes crucial.30:36 Recap available on your everydayai.com.Keywords:Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.