Podcasts about data analytics

In episode three of this special series of Defensible Decisions discussing Ogletree's Talent Risk Assessor, shareholders Scott Kelly (Birmingham/Washington) and Chris Near (Columbia) are joined by Chrissy Blantz from the firm's Data Analytics team to examine separations and terminations—an area of the employment lifecycle where legal risk is often most acute. Using a hypothetical multi-state employer, the speakers walk through how a statistically significant flag in overall separation rates can be disaggregated by involuntary versus voluntary terminations and further broken down by separation reason codes to identify the actual driver behind the pattern, in this case, disproportionate use of temporary, time-limited roles. The episode illustrates how a data-driven, legally informed inquiry, conducted under privilege and properly documented, builds a defensible position even when the underlying cause turns out to have a legitimate explanation.

That challenge is at the center of the 2026 Emerging Technologies for Defense Conference & Exhibition (ETC), taking place September 8–10 in Washington, D.C.In this special episode of Emerging Tech Horizons, NDIA's Jen Walsh, Director of Divisions, and Rachel Sutherland, Director of Public Relations and Communications, provide a preview of what attendees can expect at this year's conference. From senior Department of Defense leadership and combatant commands to industry innovators, engineers, acquisition professionals, and researchers, NDIA ETC brings together the organizations responsible for developing, integrating, funding, and fielding defense technology and next-generation capabilities.The episode also features Dr. Suzette Johnson, Chair of NDIA's Systems Engineering Division, who discusses how mission engineering, systems integration, digital engineering, and agile practices help transform emerging technology into mission-ready solutions that advance national security.This year's event features:Keynote presentations from senior defense leaders, including the Chairman of the Joint Chiefs of Staff and senior officials from Research & Engineering and Acquisition & Sustainment.A classified program on September 8, bringing together experts to discuss emerging technology and national security challenges in a secure environment.The Global Defense Hackathon, where teams from government, industry, and academia collaborate on real-world defense innovation challenges.A new co-location with the Society of Defense Financial Management's Data Analytics and Decision Support Conference, connecting defense technology development with the acquisition and financial frameworks needed to field capabilities.Conference Registration: https://www.ndiatechexpo.org/registration  NDIA: https://www.ndia.orgEmerging Tech Horizons Podcast: https://youtube.com/playlist?list=PL5oQnv75FK5aCB0IeYAWVPon0C7Xa75sr&si=bLmHXoFhuLhA5WnM  Be sure to follow us on social media for updates, early access to upcoming events, inside scoops, & more:LinkedIn: https://bit.ly/4htROo0Twitter: https://bit.ly/48LHAx3Facebook: https://bit.ly/47vlht8 And for more podcasts, articles, & publications all things emerging tech, check out our website at: ndiaeti.org  #EmergingTechETI #ETC #DefenseInnovation #NationalSecurity #DefenseTechnology

In episode two of this special series of Defensible Decisions discussing Ogletree's Talent Risk Assessor, shareholders Scott Kelly (Birmingham/Washington) and Chris Near (Columbia), who are joined by Chrissy Blantz from the firm's Data Analytics team, focus on dispositions and merit-based hiring documentation. The speakers explain how disposition codes work alongside dashboard analytics to show whether hiring decisions are consistently tied to job-related, posted criteria, and offers practical guidance on auditing job advertisements and disposition practices to reduce litigation risk. The episode closes by previewing episode three, which will apply these same documentation principles to separations and terminations.

Steven Song is the founder and CEO of Diald, an AI-powered decision intelligence platform for commercial real estate. Before founding Diald, Steven worked on both the investing and development sides of real estate, and built his career across architecture and urban planning, training at Carnegie Mellon and the University of Pennsylvania. He was a founding principal at SCAAA, a global strategy, planning, and design firm, and is a partner at Axle Companies, a family office focused on real estate investment and social impact ventures. Steven is based in Los Angeles.(02:26) Why CRE Decisions Are Still Judgment-Driven (04:41) The Signal That Killed an Atlantic City Deal (07:44) Contextual Drift: The Risk Nobody Models(10:20) Diald's approach (11:59) AI Token Costs and Asking Better Questions (14:27) Tools vs. Workflows (15:52) Diald's Underwriting (17:58) Killing Bad Deals Earlier (19:18) How AI Upgrades the Analyst Role (20:44) Where General Purpose AI Fails at Underwriting (24:23) Does AI Make CRE More Efficient or More Competitive (26:02) What Underwriting Looks Like in 5 Years (27:14) Where Human Judgment Still Matters (29:06) The Local Signals Investors Miss (31:15) Collaboration Superpower: Denise Scott Brown and Reyner Banham

This special series of Defensible Decisions, discusses Ogletree's Talent Risk Assessor dashboard that helps employers integrate data from the full employment lifecycle to give management a birds' eye view of the legal risks associated with employment decisions. Episode one features shareholders Scott Kelly (Birmingham/Washington) and Chris Near (Columbia), who are are joined by Chrissy Blantz from the firm's Data Analytics team, to examine how Ogletree's Talent Risk Assessor evaluates selection and hiring processes for legal risk. Using a continuing hypothetical involving a multi-state employer, the group walks through stage-by-stage funnel analysis and explains why a statistical flag should prompt a legally informed inquiry rather than a conclusion about compliance. Scott, who is chair of the firm's Workforce Analytics and Compliance Practice Group, also previews the data quality and documentation considerations that will be addressed in the next episode of the series.

In this episode, Ross Jarvis Director of Strategy at Angstrom Sports discusses how AI, data, and analytics are transforming the sports betting industry, with a focus on the launch of the innovative Seven app. The conversation explores product development, industry trends, and the future of data-driven betting experiences.Key TopicsAI and data analytics in sports bettingDevelopment and impact of the Seven appAngstrom's role in pricing and risk managementTrends in US sports and football bettingProduct innovation and user engagement strategiesHost: Charlie HornerGuests: Ross Jarvis & Ted Orme-ClayeProducer: Anaya McDonaldEditor: Anaya McDonaldLearn how Optimove's Positionless Marketing is changing how iGaming teams operate. Discover how operators are using Optimove's Positionless Marketing Platform to launch personalised CRM campaigns, dynamically change casino lobbies and bet slips, and create engaging gamified experiences. Learn more at optimove.com.Finally, remember to check out Optimove at https://hubs.la/Q02gLC5L0 or go to Optimove.com/sbc to get your first month free when buying the industry's leading customer-loyalty service. 

In this episode, Tom Fox welcomes back Vince Walden, CEO of konaAI, which is the sponsor of this podcast series. Vince is well known for his leadership in data analytics, machine learning, and AI, and we take a deep dive into all of these topics through the lens of the Scoular FCPA Enforcement action. The Scoular case is a unique learning tool for using data analytics, machine learning, and AI for compliance. In this matter, roughly 2,000 near-$2,000 payments were tied to customs brokerage activity. This case illustrates broader uses of data analytics beyond numbers, including mining unstructured text in invoice and payment-description fields (e.g., repeated terms like “re-inspection fee” and Spanish phrases) and linking it to structured AP data. Walden explains how combining structured and unstructured data reduces investigator bias, how round-dollar and repetitive payments to high-risk vendors can be continuously risk scored using hundreds of tests, and how machine learning can “find more like this” across large transaction populations. We discuss integrating communications data when available, using monitoring within typical 30–60-day payment cycles to prevent payments, supporting self-disclosure decisions amid DOJ guidance, and launching a minimum viable analytics program by starting with AP spend, invoices, POs, and payments pulled from ERP systems. Key highlights: Structured vs. Unstructured Data Red Flags Round Dollars Text Mining and Three Lines Transactional Fingerprints Machine Learning for Compliance Linking Comms and Payments Prevention Through Monitoring Continuous Improvement and ROI Self-Disclosure and Culture Data 90-Day Analytics Roadmap Resources: konaAI Vince Walden on LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn To learn about the intersection of Sherlock Holmes and the modern compliance professional, check out Tom's latest book, The Game is Afoot-What Sherlock Holmes Teaches About Risk, Ethics and Investigations on Amazon.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

Steve Smith welcomes Pol Otin O'Callaghan back to the GreatBase Tennis Podcast, a highly ranked Spanish junior and former Campbell University standout who holds a master's in Data Analytics and will begin his first season as Head Coach of Ave Maria's Men's and Women's Tennis Teams for 2026-27. Pol will be mentored by Steve, who is serving the Ave Maria Athletic Department as Director of Tennis, and the two dig into everything from culture-building and recruiting philosophy to the technical and tactical nuances of the modern game.The conversation ranges widely, from the World Cup and Spanish soccer to grip changes, the myelin science behind habit formation, and why so many talented juniors stall out because they never learned to volley or go forward. Pol brings sharp, thoughtful questions throughout, and Steve draws on decades of stories and philosophy to make the case that fact-based instruction, patience, and a real appreciation for the history of the game are what separate players and coaches who truly develop from those who simply chase results.

How do you lead 16 agencies and serve 8.2 million people without losing sight of the individual? NYC's Deputy Mayor of Health and Human Services Helen Arteaga shows what happens when a leader moves beyond the binary of efficiency vs. compassion, using data and local insights to get both right. In this episode, you'll learn: Why a structured system for serving people from birth through end-of-life means better, consistent care. How to use neighborhood-level data and geographic targeting to serve people before they hit crisis. How to get the right processes in place before feeding data to an AI. The importance of early intervention with babies and children. Why ensuring equal access to good care is so personal for DM Arteaga, and how she honors her father's legacy by doing so. Guest: New York City's Deputy Mayor of Health and Human Services Helen Arteaga Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

The Chicago White Sox retired Ozzie Guillen's #13 in a beautiful ceremony and in poetic fashion the South Side team beat the Guardians to end up taking the series in the rubber match. Jackson Scudder, of ETSU Baseball Director of Data / Analytics & Baseball Unstitched joined the crew to recap Ozzie night, dive into the 2026' White Sox draft class, and filter through the debuts of the trade deadline acquisitions & call-ups.

In Episode 19 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is rejoined by Marion Shaw, Senior Director, Data Analytics and Data Management at Cencora, where they discuss why building a genuine data culture is a people and process problem rather than a technology one, and what it actually takes to embed trust, curiosity and business value into how an organisation works with data.The conversation centres on Marion's new book, Why Data Culture Matters, and digs into why trust is the single attribute with the biggest ripple effect on a data culture, plus the "AI paradox" — why people distrust their own data yet blindly trust the same data when an AI hands it back to them.They also discuss:Why so many organisations pour money into technology yet still fail to see the returns.What Why Data Culture Matters covers, and who Marion wrote it for.How data culture should reflect and be built around a company's existing business culture.Why there is no universal blueprint for data culture — every organisation's version looks different.How giving people access to data without teaching them to interpret it undermines self-serve initiatives.How trust is built through recognisability, explainability, transparency and repeatability.Why CDOs should never promise something they can't actually deliver.What the "AI paradox" means for organisations rolling out generative AI tools.How younger generations risk losing critical thinking skills by taking AI output at face value.Why healthy scepticism should be a core attribute of every data culture, regardless of industry.How to measure progress in building a data culture beyond simple adoption metrics.Why dashboard adoption is a flawed proxy for a genuinely data-driven culture.Why data teams need to shift from being "order takers" to acting as business partners.What the biggest mistakes are that organisations make when trying to mandate a data culture from the top down.Why flexibility, not rigid planning, is the mindset shift data leaders need most.Why influence and communication skills are essential to embedding a data culture successfully.Thanks to our sponsor, Data & AI Literacy Academy.Data & AI Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data & AI literacy first.At Data & AI Literacy Academy, they don't just teach data skills. They empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. They're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data & AI literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that they offer. They embed a deep data culture shift through a transformative change management programme.They take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com/driven

Melissa welcomed Assistant Clinical Professor Stephen Burrows to the show to talk about Sacred Heart University's new Health Data Analytics program, which is the director of.Image Credit: Sacred Heart University

Imagine redesigning your most important processes from a blank sheet of paper, with no legacy systems to hold you back. Alpa Lally, Chief Product Officer at Grant Thornton, shares how the company is transforming into a frontier firm by reimagining core processes instead of automating them. She unpacks how embedded analytics reshapes client conversations, why AI governance is what helps you move faster, and how to reinvent your career in the age of AI. Key Moments: From Structural Engineering to Product Leadership (01:36): Alpa explains how designing buildings taught her the vision, strategy, and foundation-up thinking she now applies to product. Becoming a Frontier Firm (06:27): Rethinking how work gets done for 13,000-plus professionals means recognizing that automating a broken process just does the wrong thing faster. Embedding ThoughtSpot Analytics (14:57): By putting insights in auditors' hands on day one, Grant Thornton shifts client conversations from data gathering to strategy. The AI Proof Gap: Governance Enables Speed (19:32): Alpa reframes governance as what lets you move faster, sharing that 78% of firms doubt they'd pass an AI governance audit. Is Product Management Dead? (24:33): The role is evolving, not dying, and AI raises the value of deciding which opportunities are actually worth pursuing. Key Quotes: “A frontier firm uses AI not just to improve how work gets done, but fundamentally rethinks how the work gets done. It's moving beyond productivity gains and creating entirely new ways to deliver value.” - Alpa Lally “The challenge is if you simply automate a broken process, you end up doing the wrong thing faster.” - Alpa Lally “What ThoughtSpot has done is [give us] our ability to embed them immediately into the flow [which] has opened up a whole level of different insights that we can offer, not to our practitioners only, but imagine an auditor showing up on day one to your client and having these insights already calculated, already delivered.” - Alpa Lally Mentions Grant Thornton's 2026 AI Impact Survey Report Wall Street is debating the AI buildout. Enterprises just answered: More than 80% say their GPUs run at half capacity or less Hers for the Taking by Tracey Newell Guest Bio Alpa Lally is the Chief Product Officer at Grant Thornton. Alpa is an experienced product management executive with several years in designing, developing, and launching consumer and business products for large to mid-sized to small organizations, fintechs, startups, and Fortune 500. She has led global cross-functional teams to drive high growth targets while staying laser-focused on solving customer and consumer problems. Alpa leverages data and analytics to drive successful business outcomes that deliver results and achieve corporate growth goals. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Data innovation isn't about buying better tools. As Dallas and Cleveland show, it's about how leaders listen, support risk-taking, and work alongside agencies. The result? A culture where innovation thrives, and scales. Host Stephen Goldsmith speaks with Brita Andercheck, Chief Data Officer in Dallas, and Liz Crowe, Chief Innovation and Technology Officer in Cleveland, about how they drive transformative change across city governments. From reporting structures to how you listen to agencies to going out into the field yourself, they share the unglamorous work that actually drives transformation. In this episode, you'll learn: How to strike the balance between centralization and decentralization Why a problem-first approach beats technology-first Why data teams should measure their ROI The importance of collaboration and relationships How to create psychological safety so teams "fail smart" Guest: Dr. Brita Andercheck – Chief Data Officer and Director of the Office of Data Analytics and Business Intelligence, city of Dallas Dr. Liz Crowe – Chief Innovation and Technology Officer, city of Cleveland Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

Singapore has lifted the 15-month wait-out period for private property owners looking to buy HDB resale flats, marking the end of a temporary cooling measure introduced in 2022. The Government says the policy has achieved its objective, but what does its removal mean for resale prices, competition among buyers, and the broader housing market? On The Big Story, Hongbin Jeong speaks to Lee Sze Teck, Senior Director of Data Analytics, Huttons Asia, to find out more.See omnystudio.com/listener for privacy information.

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Introduction (00:12): Host Chris Cesar welcomes listeners back to Getting Granular and introduces Paid Media Analyst Connor Lom, Granular's youngest hire and a graduate of the company's mentorship program. Connor shares a bit about himself, including his love of music, marathon training, and community service. From College to Paid Media (07:15): Connor explains how he discovered Granular through a university mentorship program while pursuing degrees in marketing and data analytics. After applying to more than 200 jobs, he credits persistence, networking, and building relationships for ultimately landing his role at Granular. Breaking into the Industry (11:12): Connor reflects on entering paid media with little prior experience, what surprised him most about the industry, and how AI has quickly become both an essential tool and a source of uncertainty for new professionals. Developing Skills Through Data (14:45): Connor discusses his growing responsibilities across Google Ads, Microsoft Ads, Meta, LinkedIn, programmatic advertising, and measurement. He explains why he enjoys analytics, controlled testing, and learning just as much from unsuccessful experiments as successful ones. Why Granular Stood Out (17:59): Company culture, mentorship, collaboration, and a willingness to invest in developing talent made Granular the ideal place for Connor to begin his career. He shares why feeling supported and respected has been instrumental in his professional growth. Building Better Client Relationships (20:53): Connor explains his approach to managing client work by staying curious, asking thoughtful questions, remaining organized, and treating every client's business as if it were his own. He also emphasizes the importance of building trust through genuine relationships. The Future of Paid Media (27:35): Connor shares why both the most exciting and most concerning aspect of PPC is its constant evolution. As AI continues reshaping the industry, he believes marketers must balance embracing automation with maintaining strategic control. Words of Wisdom: Build Relationships, Not Just Applications (29:22): Connor encourages students and job seekers to spend less time submitting applications and more time connecting with professionals through informal coffee chats, certifications, and continuous learning. His advice highlights how meaningful relationships can open more doors than resumes alone. Wrap-Up (32:05): Chris thanks Connor for joining the podcast and congratulates him on checking "appear on a podcast" off his bucket list before encouraging listeners to subscribe for more conversations about paid media, PPC, and digital marketing.

Comments/ideas: ACFpod@outlook.comIs India's net zero push real, or just clever PR? Arun Kumar of Asia Research and Engagement joins the podcast to explain why the greenwashing era is ending and why decarbonisation now wins on cost, not sentiment. We dig into the hard-to-abate sectors, green steel and cement, alongside power, coal, renewables, carbon markets, corporate PPAs and how Indian banks are pricing climate transition risk. Essential listening for anyone in climate finance, energy transition and sustainable investment across India and the wider Asia Pacific.Ref.: Asia Research and Engagement Group, ARE's Asia Transition PlatformABOUT ARUN: Arun Kumar is a Strategic Advisor at Asia Research and Engagement (ARE), a Singapore-headquartered organisation whose collaborative platform connects institutional investors with large listed companies to accelerate the energy transition. His focus spans the highest market-cap companies in hard-to-abate sectors, Power, Cement, Steel and Automobiles, plus Banks and financial institutions. A recognised expert in India's power sector with over 30 years of experience, Arun brings deep expertise across power trading, management consulting and equity research. He has held senior positions at PTC India, HSBC, KPMG and CRISIL, advising investors, policymakers, regulators and corporates on critical aspects of the energy sector. His work spans Asia, the US, Europe and India. Arun holds a Master's in Economics from the Delhi School of Economics and an MBA from IMI Delhi, plus an advanced certification in Cloud Computing, Data Analytics and Blockchain from IIT Madras.Recommendations:Climate Capitalism by Akshat Rathi: A Bloomberg journalist's ground-level account of how clean technologies, from China's electric cars and batteries to solar, wind and green steel, are becoming commercially viable and profitable.  https://www.hachette.co.uk/titles/akshat-rathi/climate-capitalism/9781529329957/ Value(s): Building a Better World for All by Mark Carney: The former Bank of England governor and current Canadian Prime Minister argues that finance and markets must be steered by human values rather than price alone. https://books.google.com/books/about/Value_s.html?id=Jz6XzQEACAAJHOST, PRODUCTION, ARTWORK: Joseph Jacobelli  |  MUSIC: Ep76 onward excerpts from Vivaldi's La Follia, played by Luca Jacobelli.

Dan Mosher is the CEO of DealGround, an AI-native platform helping commercial real estate brokers and investors find deals faster by organizing property data, identifying opportunities, and connecting directly with property owners. A veteran Silicon Valley entrepreneur, operator, and investor, Dan previously built and led the Merchant team at Postmates through its acquisition by Uber, served as President of Presto, and helped scale BrightRoll tenfold before its acquisition by Yahoo. Live from ICSC+Proptech in Las Vegas.(01:09) AI Survey with FirstAmerican (03:07) How DealGround Helps Brokers Find More Deals (06:08) Why AI Adoption Outpaces Trust (10:14) MCPs, Integrations & Fitting Into Broker Workflows

This episode is sponsored by Deel.Hire, manage and pay, anyone, anywhere: https://www.deel.com/nickdayhr/In this episode of @thehrldpodcast Nick Day is joined by Nelly Salinas, a global HR operations leader and Director of Global HR Operations at Accertify Inc. Nelly's path into HR started nowhere near HR. She began her career in industrial engineering and IT project management before discovering that projects rarely fail because of technology, they fail because people were never aligned in the first place. That engineering lens is exactly what she brings to global HR operations today.Nick and Nelly explore why the future of HR will not belong to the most human leader alone, but to the hybrid leader who can connect people, process, systems, data, and strategy in one conversation. They unpack where AI is genuinely creating value in HR right now versus where organizations are mistaking experimentation for transformation, why AI can make recruiters lazy if it replaces human connection instead of freeing up time for it, and how homogenized AI written CVs are making it harder than ever to spot real talent. They also dig into the near impossible balancing act of standardizing HR processes across global regions without losing local nuance, why data literacy and change management are becoming non-negotiable skills, the ongoing debate over whether payroll should sit inside HR or finance, and what a realistic first step into agentic AI actually looks like for HR leaders who have not started yet.In a world where HR is being asked to improve employee experience, scale global operations, adopt AI responsibly, and still deliver measurable outcomes, this episode makes the case that technology and humanity were never competing priorities. The job has always been to bring both together.A must-listen for HR leaders, global operations professionals, and anyone trying to figure out what skills will actually matter in the next phase of HR.Enjoyed this? Check out our sister podcast @thepayrollpodcast for more great content!Nelly Salinas's LinkedIn: https://www.linkedin.com/in/nellysalinascabala/Nick Day's LinkedIn: https://www.linkedin.com/in/nickday/Find your ideal candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the HR L&D Newsletter: https://jgarecruitment.ck.page/23e7b153e7Stay tuned for the next episode of the HR L&D Podcast, brought to you by Nick Day, CEO at JGA Recruitment, landing soon!Timestamps:(00:01) Why HR Is Asking the Wrong Question About AI(02:46) From Industrial Engineering to Global HR Operations(05:04) HR's Collaboration Gap With IT(07:13) What It Means to Be a Hybrid HR Leader(08:52) Where AI Is Actually Showing Up in HR(10:31) Is AI Making Recruiters Lazy?(15:28) Experimentation vs Real Transformation(17:56) Standardizing Global HR Without Losing Local Nuance(21:51) The Skills HR Leaders Need to Future-Proof Their Careers(26:06) HR as Strategic Partner, Not Back Office(29:59) Using AI and Data Analytics to Drive Real HR Insights(31:56) Getting Started With AI and the Future of Agentic HR

Children's Nebraska transformed fragmented data into a strategic asset by creating a centralized data warehouse and executive-facing Power BI dashboards. In this episode, learn how the organization unified claims, financial, scheduling, and demographic data to deliver real-time insights, strengthen decision-making, and fuel growth across the enterprise.

A single battery cell can shut down an entire storage plant.It's one of the many operational realities that make battery storage fundamentally different from solar, and one of the reasons software, analytics, and automation are becoming just as important as the batteries themselves.Ty Fenton, Director of Data Analytics at FlexGen, joins Nico Johnson to explore what really happens after a battery project is commissioned. From managing thousands of individual cells to processing enormous volumes of operational data, Ty explains why operating battery storage requires a completely different mindset than operating solar. They also explore how AI data centers are creating new demands for battery storage and why operators are rethinking the role batteries will play in supporting the next generation of digital infrastructure.Expect to learn:

Most companies recruit interns to take work off someone's plate. Your Health does the opposite — and it's why several of its current executives, including a Chief Information Officer, first walked in the door as interns. In this episode, Jamie sits down with Heather Bower, Director of Experiential Learning, who has taken the reins of Your Health's internship, mentorship, preceptorship, and apprenticeship programs. Heather shares how a long-standing program is being rebuilt with structure, data, and intention — organized into semester cohorts, anchored by a four-day all-company orientation, and designed so every intern owns a project with genuine stakes. In this conversation, you'll hear: Why "get interns because they're cheap" is exactly the wrong spirit — and what replaces it How one MBA intern's shadowing experience redirected him toward nursing school The "spreadsheet whisperer" intern who taught regional leadership to pull data faster What surprises interns most once they're inside healthcare: the human complexity How Your Health uses feedback loops to move interns toward roles where they'll actually shine If you're early in your career and unsure where you fit, this episode is a map to possibilities you may not know exist. Press play and rethink what an internship can really be. www.YourHealth.Org

An extra half hour of The Panel with Wallace Chapman, where to begin, he's joined by Nights host Susana Lei'ataua. Then: United States President Donald Trump has gone from labelling cryptocurrency a scam, to earning $1b from is in a year. Marta Khomyn is a Senior Lecturer of Finance and Data Analytics at Adelaide University. She breaks down this major pivot.

Qdrant Roundtable episode: The Current State of Agentic RetrievalJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to Qdrant for the collaboration!// AbstractAI agents are only as good as the information they can find, retrieve, and remember. In this community roundtable with the Qdrant team, we explored the latest advances in agentic memory, vector search, retrieval systems, and production AI architectures.As AI agents move beyond simple chatbots into systems that can reason across large amounts of information, retrieval is becoming one of the most important layers in the AI stack. The discussion covered the real-world challenges of building agents that remember what matters, forget what doesn't, and consistently retrieve the right context at the right time.If you're building AI agents, RAG systems, or production AI applications, this conversation offers practical insights into where retrieval is headed and what it takes to build reliable, scalable agentic systems.// BioEwa SzyszkaEwa is a Developer Relations professional based in San Francisco with a background in Computer Science and Hardware Engineering, passionate about bridging the gap between technology and the developer community. She holds a BSc in Computer Science and an MSc in Electronics, bringing a strong blend of deep technical foundations and communication skills to her work.Dylan CouzonDylan is based in New York City, and he helps developers build better AI applications. He is passionate about AI, programming, open source, and robotics, and enjoys sharing what he's building and learning along the way.Neil KanungoNeil is an experienced professional with expertise in data science, developer relations, and product growth. Currently serving as the Head of Developer Relations at Qdrant, Neil previously held the position of VP of Product Led Growth & Developer Relations at KX, where significant increases in product registration and user activation were achieved. At TIBCO, Neil managed a team focused on enhancing the adoption of TIBCO Spotfire through various initiatives, including tutorial videos and live webinars. With a strong technical background, Neil has developed innovative solutions in analytics, machine learning, and data visualization across multiple roles, including Engineering Data Analyst and Asset Integrity Engineer at Enterprise Products. Neil holds a Bachelor of Science in Radiation Physics from The University of Texas at Austin, a Master of Science in Mechanical Engineering from Texas Tech University, and is pursuing a Master in Applied Data Science from the University of Michigan.Evgeniya SukhodolskayaDeveloper Relations at Qdrant with 8 years of IT experience across software engineering, machine learning, and technical management, and 4 years in Developer Relations. Holds a Master's in Machine Learning, Data Analytics, and Data Engineering. Passionate about NLP, data-centric AI, and the role of vector search in advancing AI technologies.Andrei CristeaAndrei is a Berlin-based Developer Relations Engineer at Qdrant, a prominent open-source vector database. With a Master's degree in Artificial Intelligence from TU Munich, his expertise bridges AI, data infrastructure, and knowledge engineering.Hosted by Demetrios// Related LinksWebsite: https://qdrant.tech/~~~~~~~~ ✌️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/]

What happens when cutting-edge artificial intelligence meets one of our most essential industries? In the latest episode of the Georgia Tech Research Podcast, host Stephanie Richter explores this fascinating intersection with two leading voices in the field. Walker Byrnes, Branch Head for AI, Machine Learning, and Data Analytics at the Georgia Tech Research Institute is joined by Ashley Peterson, Senior Vice President of Scientific and Regulatory Affairs of the National Chicken Council, for an in-depth conversation about how AI is quietly reshaping food safety in poultry processing.   Walker has become a go-to expert on AI-driven foreign material detection, smarter monitoring systems that help prevent recalls, and secure language tools that help plants navigate complex regulations. But this isn't about treating AI like a magic black box; this is about careful, intentional innovation that strengthens the fundamentals of food safety. Throughout the episode, Walker shares his journey into AI, what his team is currently working on, and practical advice for both plant leaders and regulators on integrating these tools effectively. From discussing data security and ownership challenges to explaining how AI systems handle the real-world chaos of variable poultry processing, this conversation offers valuable insights for anyone interested in the future of food safety and agricultural technology. Listen now to discover how GTRI is helping shape the AI world - carefully and intentionally - to improve the safety of the food we eat every day. Brought to you by the State of Georgia's Agricultural Technology Research Program.

The rapid expansion of AI in financial services is creating a widening gap between enterprise ambition and the operational readiness required to deploy systems that are secure, compliant, and trusted. In this episode, Dr. Oscar A. Rodriguez, Vice President of Data Analytics at Citi, joins Daniel Faggella, Emerj CEO and Head of Research, to describe how leaders build the operating model for safe AI at scale, from aligning stakeholders to embedding governance, accountability, and data quality from the start. The discussion highlights practical decisions around cross‑functional alignment, foundation‑first governance, risk ownership, and preparing for evolving regulatory and security demands. This episode is sponsored by Securiti AI. Download the free "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1 to go deeper on how early governance prevents AI failures.

In this episode of our Defensible Decisions podcast series, shareholder Scott Kelly (Birmingham/Washington) is joined by Pete Bell and Chrissy Blantz from the firm's Data Analytics team to introduce the firm's Talent Risk Assessor—a comprehensive dashboard built to help employers identify workforce risk across the entire employment lifecycle. Scott, who is chair of the firm's Workforce Analytics and Compliance Practice Group, discusses with Pete and Chrissy how the tool brings together data on hiring, separations, talent progression, and pay equity into a single, actionable view. Tune in to learn how Ogletree's legal and data analytics teams collaborated to build a proactive solution for employers navigating today's evolving compliance landscape.

What happens when a software company building AI tools for HR teams uses those same tools to transform itself? Josh McKenzie, Chief Technology Officer at ELMO Software Group, shares how his team rebuilt their entire software development lifecycle around AI agents and redrew the boundaries of every engineering role. He breaks down how to lead that shift without losing people's trust, why domain expertise is the real SaaS moat, and how the right analytics partner unlocks decisions HR teams have never been able to make before. Key Moments: The SaaS Moat: What AI Can't Erode (06:37): Josh argues SaaS value runs deeper than software. Accountability, compliance, and domain expertise keep purpose-built platforms irreplaceable. How ELMO's AI Journey Started (10:23): ELMO started by mapping every role against AI impact. Turning that lens on their own engineering team set the full transformation in motion. Why ELMO Chose ThoughtSpot Over Building Its Own Analytics (18:42): A homegrown tool requiring too much user expertise led ELMO to look elsewhere. ThoughtSpot Spotter and natural language capabilities closed the gap. Why HR Teams Are the Most Underserved (20:21): Payroll here, benchmarking data there, performance data somewhere else. HR teams have been drowning in spreadsheet hell for years. Josh explains how AI finally closes that gap. From Engineer to CTO: Build a Team of Complements (24:17): Josh reflects on the mindset shift that defined his path to the C-suite. Great leadership means building a team whose strengths cover your blind spots. Key Quotes: “ ThoughtSpot was particularly interesting for us… The big thing for us was the Spotter product. Allowing users to bridge that data analyst gap was really important. So, that product has yielded really, really great results for us.” - Josh McKenzie “I think it's really important that we instill a culture where it's okay to fail, and it's okay to make a mistake. You want to be vocal about your mistakes so others don't repeat the same mistake.” - Josh McKenzie “My belief is you want to focus on your secret sauce. So, what is the thing that makes your business super successful? And for us, that's where we came to look at ThoughtSpot. It has a really nice visual user interface and allows you to create some great dashboards.” - Josh McKenzie Mentions Hiring and Onboarding Taking Longer Despite Widespread AI Adoption, New Australian Research Finds The 5 Levels of AI Coding (Why Most of You Won't Make It Past Level 2) WireGuard: Next Generation Kernel Network Tunnel | Jason A. Donenfeld Guest Bio As the Chief Technology Officer, Josh McKenzie is responsible for both technical strategy and delivery (build, release and operation) of the ELMO product suite. Josh has a proven track record of successfully leading technology teams and implementing transformative strategies that enhance efficiency, drive growth, and elevate overall technological capabilities. Josh has 20 years of experience in technology, primarily in FinTech. Before joining ELMO in 2024, Josh held executive and senior positions at Lendi Group, OFX, ASX and Westpac. Josh holds a Bachelor of Computer Science from the University of Newcastle and an MBA from the University of Sydney. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

The Chicago White Sox had a reality check this past week, but begin the week with a series win vs CLE and Kyle Teel coming off the IR. Jackson Scudder of ETSU Baseball Director of Data / Analytics & Baseball Unstitched joined the crew to talk overall progression at the MLB level on the South Side with a focus on what the data showed growth. In addition, we went into the 2026 MLB Draft with early round selections at 1 & 41!

City leaders are on the front lines of data use, but most lack visibility into the federal data landscape, what's available, what's changing, and how federal policy decisions affect local outcomes. This gap delays emergency response, misdirects resources away from high-need neighborhoods, and undermines AI systems that depend on accurate data and community trust. Host Stephen Goldsmith speaks with Denice Ross,  Director of Federal Data Policy at the Federation of American Scientists, about the relationship between local and federal data, what city CDOs should prioritize, and why cities have untapped power to shape federal data policy. In this episode, you'll learn: The often-hidden relationship between local data needs and federal data infrastructure How to identify and access the federal data your city should be using Why now is the time to prepare for Census 2030 and protect funding How community participation in data decisions prevents disparities and builds legitimacy for AI systems How local data leaders can advocate effectively during federal policy windows Guest: Denice Ross –  Director of Federal Data Policy at the Federation of American Scientists; former United States Chief Data Scientist Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

Andreas Rotenberg is Co-founder and COO of Pulley, an AI-powered permitting platform helping developers and operators move projects through approvals faster. Before Pulley, he was part of the team at Honest Buildings through its acquisition, then served as Chief of Staff at Procore through its IPO. Pulley has supported over $15 billion in projects approved across the U.S. Live from ICSC+Proptech in Las Vegas.(0:00) - First ever ICSC+Proptech live podcast(1:47) - Why Permitting Is a Growing Bottleneck(2:41) - What's Happening During Permitting Timelines(4:13) - Jurisdictional Complexity Across the U.S.(5:08) - What CRE Teams Underestimate About Permitting(7:35) - Why Pulley(8:18) - The Origin Story(10:53) - Combining Technology with Local Expertise(14:26) - Where AI Creates Real Value in Permitting(17:36) - Trust, Hallucinations & Accuracy(19:07) - Municipalities & Public Sector Modernization(20:40) - Second & Third Order Effects of Faster Permitting(22:41) - Collaboration Superpower: Vaclav Smil

Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment. Key Moments: From Reactive to Proactive with Agentic AI (04:46): Supply chain disruption response has changed from slow email chains and fragmented data to agentic systems that flag issues and test decisions in real time. Boris illustrates how Ligentia navigated that shift firsthand. Embedding Analytics Into the Customer Platform (09:00): Boris explains why bolting analytics onto a separate tool creates friction and why embedding intelligence directly into the existing customer platform is the better call. How to Phase a Data Transformation That Sticks (12:12): Boris outlines three phases: stabilize the foundation, standardize definitions, then build a usable experience. Skipping the plumbing is where most transformations fail. Where AI Ownership Really Belongs in the Enterprise (14:03): Understand why AI ownership should sit where value is created. Learn how centralized governance ensures data accuracy and security across the organization. What the Asyad Acquisition Unlocks for Ligentia (22:49): Boris shares how the new investment opens doors to scale the platform globally, automate logistics workflows, and monetize data beyond services. Key Quotes: “ We wanted to control the brand experience, the same login for our customers. Removing the friction and having the experience of being in one trusted platform for making those decisions… This is where [ThoughtSpot] came in.”  - Boris Rabkin “I think AI should be owned where value is created. It shouldn't be a centralized  function inside a lab. If it's not close to the product and the people that are using it, AI won't create the value.” - Boris Rabkin “Speed is one thing, but confidence in the data is something that really drives decisions.” - Boris Rabkin Mentions The EU AI Act's ‘Wait and See' Window Is Closing Asyad Group and Ligentia Join Forces to Accelerate Global Growth and Enhance Technology-Driven Supply Chain Solutions ThoughtSpot Supply Chain Solutions & Case Studies The Acquired Podcast: Formula 1 | From Bankrupt Teams to a Global Sports Empire  The Acquired Podcast: Costco | How a Wholesale Club Built a Customer Fanaticism  Guest Bio Boris Rabkin is the Chief Information Officer at Ligentia. As a Chief Information Officer and Board Member, he brings a distinctive blend of strategic vision and execution capabilities to drive business growth and operational excellence through digital transformation. With extensive experience leading global teams and technology initiatives, Boris is driven by a passion for leveraging data, AI, and automation to build scalable, secure, and resilient enterprises that deliver lasting value. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Hackathons are becoming an increasingly important tool in the defense innovation ecosystem. When designed intentionally, hackathons can work for everyone involved in defense innovation. In this episode of Emerging Tech Horizons, Dr. Arun Seraphin is joined by Nick Lanham, Chair of NDIA's Data Analytics and Enterprise Platforms Division and Senior Data & AI Analyst at Kairos, and Charles Ott, Vice President and Solution Strategist at Maximus, to discuss NDIA's hackathon model and what makes it effective.The conversation offers a practical look at how this hackathon works: bringing together technologists, industry leaders, and government users for a focused, time‑boxed effort to tackle real defense problems. Rather than operating as a competition or a coding exercise, the hackathon is designed as a collaborative learning environment—one where participants share knowledge, test ideas, and better understand both user needs and institutional constraints. Lanham and Ott explain why this approach benefits everyone involved. Across the board, participants leave with a clearer picture of the problem space and stronger connections across the defense innovation community.The episode looks back at NDIA's inaugural hackathon, highlights what worked, and previews what's planned for the upcoming event at the Emerging Technologies for Defense Conference. More broadly, it explains why thoughtfully designed hackathons are emerging as a valuable complement to traditional acquisition and innovation processes.Learn more and get involved with this year's NDIA Hackathon: https://hackathon.ndia.org/browse?status=upcomingRead ETI's brief on Hackathons as a defense acquisition tool: https://www.emergingtechnologiesinstitute.org/publications/brief-series/competing-for-capabilitySAVE THE DATE: 2026 NDIA Emerging Technologies for Defense Conference and Exhibition September 9-10, 2026, at the Walter E. Washington DC Convention Center: ndiatechexpo.org/Be sure to follow us on social media for updates, early access to upcoming events, inside scoops, & more:LinkedIn: https://bit.ly/4htROo0Twitter: https://bit.ly/48LHAx3Facebook: https://bit.ly/47vlht8 And for more podcasts, articles, & publications all things emerging tech, check out our website at: ndiaeti.org#DefenseHackathon #DefenseInnovation #EmergingTechnologies #NationalSecurity

Will Parrish is the Co-Founder and Chief Customer Officer of Lula, a Kansas City-based proptech platform built to streamline property maintenance for property managers and their residents. Will co-founded Lula alongside CEO Bo Lais with a mission to make property maintenance smarter — pivoting the business during the pandemic to focus on property managers in the single-family rental space, a move that fueled rapid growth. Lula recently closed a $28 million Series A round and is expanding from 42 markets to 60, with heavy investment in AI and automation. Before co-founding Lula, Will spent nearly two decades in enterprise sales and business development, including a long tenure at Thomson Reuters. (00:53) - How Lula Started(02:34) - Trading Corporate for Startup Life(03:29) - Is Maintenance Archaic(05:49) - Where Work Orders Fail(07:30) - Scaling 100K Work Orders(12:28) - Building Vendor Trust & Quality(13:19) - Expanding Markets(16:16) - Flat Rate Pricing Playbook(19:15) - Ideal Rental Customers(21:54) - Integrations(25:47) - AI In Maintenance(30:21) - Future of Lula(32:14) - ROI for Property Owners & Operators(35:49) - Hardware play ahead?(39:12) - Collaboration Superpower: MacGyver

In this episode of Control Intelligence, Mike Bacidore is rejoined by Dr. Brian Romano, director of technology development at Arthur G. Russell Company. With more than four decades of experience in industrial automation and control systems engineering, Romano's career has centered around innovation, leadership and a forward-looking commitment to advanced technology in manufacturing. His work includes control systems architecture, enterprise connectivity, digital transformation and predictive analytics, even combining them to offer production-as-a-service capabilities by leveraging remote monitoring capabilities. Beyond his industry leadership, Romano brings a passion for developing the next generation of engineers, serving as adjunct faculty at both Central Connecticut State University and the University of Hartford. His academic achievements, including a Ph.D. in Technology and Innovation, an MBA in Business and Data Analytics, and multiple national honor societies, complement his work as an entrepreneur, a published researcher and the 2022 Division Leader of Year with the International Society of Automation. He is also an ISA fellow.

Summary In this episode, Randy Vlasic shares his entrepreneurial journey from childhood struggles to building a successful logistics business. He discusses the importance of relationships, technology, and strategic focus in scaling operations and navigating industry challenges. Keywords logistics, entrepreneurship, business growth, technology, supply chain, freight, trucking, automation, leadership, startup Key  topics Randy Vlasic's entrepreneurial background Building and scaling Lumi Logistics Impact of technology and AI in logistics Industry challenges: driver shortages, automation, and market volatility Strategies for long-term growth and relationship management Key  Frameworks Relationship-Driven Business Focus and Scalability Technology and Data Analytics Automation and AI Action  Items Build strong relationships with clients and partners Leverage technology to automate routine tasks Focus on scalable growth strategies Invest in building a leadership team Titles From Childhood Struggles to Logistics Success: Randy Vlasic's Journey Scaling a Logistics Business: Strategies and Insights with Randy Vlasic Sound bites "Relationships matter more than you think." "Focus and strategic growth are key to scaling." "Treat others well, and success will follow." Chapters 00:00 Introduction to the Accidental Entrepreneur 01:08 Randy's Early Life and Career Journey 03:05 Transitioning to Logistics and Freight Brokering 10:14 Starting a Business: The Franchise Experience 14:17 Navigating Legal Challenges and Business Growth 17:22 The Impact of COVID-19 on the Freight Industry 21:35 Shifting Focus: From Operations to Leadership 24:36 Strategies for Sustained Business Growth 26:35 Waste Management and Automation Challenges 28:55 The Evolution of Data Management 30:34 The Future of Jobs in Automation 33:36 AI and Data Analytics in Logistics 36:08 The Importance of Testing Environments 38:06 Navigating Market Volatility in Logistics 40:46 The Impact of Autonomous Driving on Logistics 42:25 Shifting Focus to Middle Market Clients 46:18 Building Relationships in Business 49:07 Advice for New Entrepreneurs Resources Randy Vlasic's Website - https://randyvlasik.com Lumie Logistics - https://lumielogistics.com Guest links Website - https://randyvlasik.com LinkedIn - https://linkedin.com/in/randyvlasic  

All Home Care Matters and our host, Lance A. Slatton were honored to welcome Seth Low-Tufo as guest to the show.   About Seth Low-Tufo, Chief Financial Officer & Chief Operating Officer at A Place for Mom:   As Chief Financial Officer and Chief Operating Officer of A Place for Mom, Inc., Seth Low-Tufo is focused on strengthening core operating processes and identifying opportunities to grow the business profitably. He is responsible for all aspects of the company's Finance function, including strategic planning, investor relations, controllership, accounting, tax, liquidity management, and treasury operations. In addition, Seth is responsible for the company's Legal, Human Resources, and Data & Analytics functions.   Seth is an experienced leader with proven ability to drive transformational change. He joined A Place for Mom following more than a decade at GE. Most recently, Seth was CFO of GE's Onshore Wind Americas business, the leading manufacturer of wind turbines in the U.S. In this role, he rebuilt the finance function and helped drive 50% revenue growth while improving operational efficiency and accountability. Earlier in his career, Seth was the Financial Planning leader for GE Capital's $200 billion asset disposition process and head of Pricing for its $90 billion commercial lending and leasing business. Seth earned a bachelor's degree in mathematics and economics from Wesleyan University.     About A Place for Mom:   A Place for Mom is the leading platform that guides families through every stage of the aging journey. We simplify the search for senior care by offering free, personalized support—and when families are ready, we refer them to partners from our network of over 15,000 senior living communities and home care agencies.   Our mission is to guide caregivers and their loved ones to a confident place, so families can focus on what matters most: their love for each other.

Pytheas Energy CEO Josh Zuker joins Inside Startup Investing to discuss how the company is using AI and data analytics to revive overlooked oil wells abandoned by major operators. Drawing on his unconventional journey from finance and real estate into oil and gas, Josh explains how Pytheas identifies underperforming “stripper wells,” optimizes production through monitoring technology, and builds long-term value from assets others leave behind. The conversation dives into the economics of oil production, how Pytheas approaches acquisitions and operational efficiency, and why the company ultimately views itself as both an energy operator and a technology company. Josh also shares his vision for turning Pytheas' growing dataset into a scalable software and analytics platform that could eventually serve independent operators across the oil and gas industry. Chris and Josh also discuss the future of AI in energy, blockchain and tokenization opportunities in commodities, and Pytheas Energy's long-term vision to scale production, acquire more assets, and potentially pursue an IPO.

In this episode of The College Admissions Process Podcast, I sit down with representatives from Denison University to take a closer look at the admissions process at a highly selective liberal arts college.From Denison's philosophy of the “multi-interested” student to a behind-the-scenes look at how applications are reviewed, this conversation offers valuable insights for students and families navigating the college search.Featured GuestsJesse Leary Yagher – Director of Recruitment, Denison UniversityCaitlin Ladda – Director of Selection, Denison UniversityGrace Ostrosky – Current sophomore, studying Creative Writing & JournalismKey TakeawaysThe “Multi-Interested” StudentDenison encourages exploration. Students are not expected to declare a major right away and have the flexibility to discover their academic interests through their sophomore year.The Transcript Matters MostDenison places significant emphasis on the high school transcript as the strongest predictor of future success, supporting their long-standing test-optional approach.A Truly Holistic ReviewApplications are reviewed by real people—often beginning with a territory manager who understands the context of a student's high school. Authenticity in essays matters far more than trying to sound “perfect.”Research & Mentorship OpportunitiesPrograms like the Summer Scholars initiative give students the opportunity to conduct faculty-mentored research, with funding and housing support.A Campus That Continues to EvolveDenison continues to expand its academic offerings, including programs in Finance and Data Analytics, along with new campus facilities like Noble Hall.Demonstrated InterestEngaging with Denison—through interviews, visits, or virtual events—can play a meaningful role in the application process.Denison Admission & Financial Aid

In this special episode of Tangent Proptech, Edward Cohen is on the red carpet at one of the most exclusive commercial real estate events of the year: the Real Estate Gala in New York City. This episode features rapid-fire conversations with founders, investors, brokers, developers, and operators across the proptech and commercial real estate ecosystem. A big focus of the evening was on AI. Namely, this question: how is AI being used in real estate right now? And possibly more front-and-center: what's hype and what's here to stay? From leasing and marketing to underwriting and financial modeling, this episode explores where artificial intelligence is already driving value in real estate, where it's falling short, and how we can close the gap.(00:00) - Welcome to the Real Estate Gala Red Carpet Interviews (02:30) - Cyrus Claffey (ButterflyMX): AI Across Product, Marketing, & Operations (06:00) - Zach Molzer (Molzer Development) & Madi Bremer (CBRE): Networking & AI in Leasing (08:30) - Gabe Einhorn (VryfID): Content, Consistency, and AI Efficiency (10:00) - Kaylan Knitowski (Franklin Street): AI Workflows and Competing with Experience (13:30) - David Auerbach (Hoya Capital): Driving Tech Adoption in Real Estate (14:45) - Adam Steiner (Rick, Steiner, Fell, and Benowitz): Document Automation & Bridging Tech and Business (16:45) - Humberto Lopes (HL Dynasty, Gotham Housing Alliance): A Human-First Real Estate Perspective (19:15) - Jovian Lopes (Gotham Housing Alliance): AI for Research vs Human Relationships (21:00) - Lauren O'Breza (Foresite CRE): AI in Brokerage & Underwriting (24:30) - Pablo Barreiro (Fortec): Simplifying Tech Adoption & the Future of Financing (26:00) - Shanti Ryle (Crexi): AI Data Enrichment & Storytelling Advantage (30:30) - Rameen Inayat (Ryan): AI for Admin & Property Tax Insights (32:00) - Collaboration Superpower: Priya Parker 

How will artificial intelligence transform the most human parts of wealth management? In this episode, we explore where technology meets empathy, and what the future looks like for financial professionals and their clients as AI adoption accelerates across the industry. Our guest, Carrie Nelson, is the founder of Atlas Point and a veteran leader with experience at Ernst & Young, Experian, and Edward Jones. Carrie shares her journey from big-firm consulting to building a platform that empowers advisors to navigate a rapidly changing landscape, with a focus on the coming great wealth transfer and the next generation of clients. Together, we discuss why human connection is still essential—even as AI creates new efficiencies—and how Atlas Point blends behavioral science and smart tools to bridge the gap. For anyone interested in the future of finance, entrepreneurship, or the emotional side of money, this is a must-listen episode filled with real-world stories and actionable insights.   To get the latest from Carrie Nelson, you can follow her below! https://www.linkedin.com/in/carrie-nelson-5377864/ https://www.theatlaspoint.com/   Sign up for Marcia's newsletter to receive tips and the latest on Angel Investing! Website: www.marciadawood.com Do Good While Doing Well Learn more about the documentary Show Her the Money: www.showherthemoneymovie.com And don't forget to follow us wherever you are! Apple Podcasts: https://pod.link/1586445642.apple Spotify: https://pod.link/1586445642.spotify LinkedIn: https://www.linkedin.com/company/angel-next-door-podcast/ Instagram: https://www.instagram.com/theangelnextdoorpodcast/ Pinterest: https://www.pinterest.com/theangelnextdoorpodcast/ TikTok: https://www.tiktok.com/@marciadawood

Ido Genosar is the CEO and Founder of Verobotics, the pioneering robotics solution for building façade maintenance, inspection, and upkeep. Prior to this, he led innovation at Aluminium Construction, Israel's biggest façade constructor. His diverse background in building exteriors, technology and global business development is at the core of his mission to solve deep-rooted inefficiencies with breakthrough innovation.(00:50) - “Miracle” Robotics(02:50) - What the Façade Robot Does(03:11) - Humanoids vs. Task-Specific Robots(04:28) - Why Robotics Demos Fail in the Real World(06:05) - VC Lens on Robotics(09:13) - Funding & Adoption Reality(12:48) - Façades as a Data Blind Spot(15:11) - Construction Signoff & Compliance(16:00) - Unions, Scaffolding & Safety(18:07) - New Data-driven Decisions(20:52) - Where's the Long-Term Value (29:33) - Humans in the Loop(31:48) - Best-Fit Buildings Today(33:03) - Robots in 5 to 10 Years(36:43) - Collaboration Superpower: Sir James Dyson, Leonardo Torres

This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, Eric and John welcome Michael Driscoll, Co-Founder and CEO of Rill Data. Mike discusses the transformative impact of AI on business intelligence (BI) and data analytics. He also explores the shift from traditional dashboard-based tools to more dynamic, code-driven, and AI-powered interfaces that provide deeper insights. During the conversation, the group emphasizes the importance of a metrics-first approach, the potential of leapfrog architectures using technologies like data lakes and real-time analytical databases, and how AI agents are increasingly becoming the primary users of data tools. The conversation highlights the evolving landscape of data infrastructure, where open standards, flexibility, and intelligent interfaces are reshaping how businesses interact with and understand their data, and more.  Highlights from this week's conversation include: Welcome Back Mike Driscoll (1:11) Philosophy Behind BI Tools (2:04) Building a Natural Language Processing Server (4:33) Deployment of MCP Servers (6:07) The Role of Visualizations in BI (10:09) Measuring Product Success (12:43) Navigating Changes as Data Professionals (16:13) Efficiency Gains with Code (19:00) The Future of Data Teams (22:29) Long-term Use of Rutter Stack (25:16) Analytics Landscape Overview (30:59) Future of BI Architecture (33:04) AI's Role in Analytics (35:07) Interoperability and Talent Pool (39:41) The Crowded BI Market (42:03) Final Thoughts and Takeaways (46:07) The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data. RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Utility-scale batteries are far more complex than they appear. Ty Fenton, Director of Data Analytics at FlexGen, breaks down how software keeps massive battery systems running — from detecting a single failing cell among thousands to predictive diagnostics powered by machine learning. The episode dives into real-world degradation versus lab data, operators who intentionally voided warranties for short-term profit, and why AI training loads create extreme power spikes that only batteries can absorb. Recorded live at Intersolar San Diego.   Topics Covered: FlexGen = Flexible Generation Battery Management Battery Technology Software Point of Interconnection Energy Storage Systems Warranty Terms Battery Manufacturer Lithium-Ion Batteries Data Centers Training Load Profile Machine Learning Accelerated Aging   Reach out to Ty Fenton here: LinkedIn: www.linkedin.com/in/ty-fenton-84782830/ Website: www.flexgen.com   Learn more at www.solarSEAN.com and be sure to get NABCEP certified by taking Sean's classes at www.heatspring.com/sean www.solarsean.com/pvace

Zach Schofel is the Co-Founder and CEO of Cosign, a data-driven guarantor platform helping property owners and managers boost economic occupancy while expanding housing options for renters. Cosign aims to redefine renter underwriting and help multifamily owners convert more demand into leases. He is also a Principal at Eastman Residential, the largest buyers of distress student housing in the country. He leads a portfolio of 3,000+ multifamily units across the US, with a focus on student housing and value-add multifamily strategies. (01:34) - The Eastman Residential Story (02:29) - Cosign Origin (03:39) - Limits of Credit Scores (06:46) - Fraud Screening Landscape (08:05) - Scale of the Problem (11:54) - Underwriting Signals (13:25) - Value creation in Multifamily tech (15:49) - How VC Underwrites Insurtech (18:06) - Feature: Blueprint: The Future of Real Estate 2026 in Vegas on Sep. 22-24 (20:35) - Cosign's Differentiation (24:17) - Mark Cuban's Investment (26:21) - AI in Operations(28:18) - Collaboration Superpower: Jared Kushner & Philip Hubert

Supreme Ecom's AC Hampton breaks down how he turned a dropshipping business into $1.8 million in six months—and why it's the smartest path to brand ownership. For more on Supreme E-com and show notes, click here Subscribe and watch Shopify Masters on YouTube!Sign up for your FREE Shopify Trial here.

Grab our breakdown of the 5 Low-Cost Businesses That Make $1 Million: https://www.franchiseempire.com/lowcost?utm_source=feapr0926We dive into the latest franchise business sales data, offering a thorough data analysis of 2023 vs. 2024 figures. This segment provides key insights into average and median sales, helping you with your own data interpretation for smarter decisions. Learn how to better understand your sales reports and drive significant business analytics.------------------Considering Investing In A Franchise?

Oded Noy is the Chief Technology Officer at Crexi, where he leads the development of technology transforming the commercial real estate industry. A serial entrepreneur, mentor, and investor, Oded previously co-founded TrueCar, helping scale it through its IPO, and has been a longtime managing partner at Amplify.LA, an early-stage venture fund. With a track record of building and advising high-growth SaaS companies, Oded brings deep expertise in scaling platforms, driving innovation, and building high-performing teams. Known for his philosophy that great work comes from being part of something bigger than yourself, he is also a passionate advocate for mentorship and developing the next generation of builders.(01:43) - Crexi's Evolution(02:55) - The CRE Info Problem(03:13) - Why Docs Create Bottlenecks(06:42) - Information vs Intelligence in CRE(08:54) - Proprietary Data Advantage (09:28) - Lessons from TrueCar for CRE(10:07) - Crexi Vault(11:25) - Becoming the CRE OS(13:56) - Build vs Buy in the AI Era(17:14) - Vibe Coding Inside Real Estate Firms(21:52) - Feature: Blueprint: The Future of Real Estate 2026 in Vegas on Sep. 22-24(22:43) - How AI Compresses Deal Cycles(24:29) - What Differentiates Winners in CRE(30:48) - What Gets Automated Next(35:39) - Collaboration Superpower: Geoffrey Hinton & Marcus Licinius Crassus