Podcasts about data analytics

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

Ina Vaduvescu is director of analytics at Marshmallow, the UK-based unicorn that offers affordable car insurance for newcomers to the UK. The scaleup raised $90 million in 2025 at a $2 billion valuation. She leads a team of 12 analysts and has spent the past few years building and structuring the analytics function.We cover :

Learn all about how an internal auditor uses data to solve the world's problems, one brick at a time.In this episode of the Data Podcast for Nerds, we talk with David Lee, Director of IT Audit & Data Analytics, to discuss how he transitioned from hardware in the Air Force to revolutionizing the world of internal audit. From his "Aha!" moment with Jupyter Notebooks to his current obsession with Databricks, David explains why the secret to mastering AI isn't just about technical skill, it's about the willingness to fail and build it back better.Highlights

Dr. Amol Verma is a physician and scientist in General Internal Medicine at St. Michael's Hospital and the Temerty Professor of AI Research and Education in Medicine at the University of Toronto. Dr. Verma co-founded and co-leads GEMINI, Canada's largest hospital clinical data research network. Objectives of GEMINI, using data to improve the quality of care [1:49] Digitization of health care and unlocking siloed information to improve health care delivery [5:01] Scaling GEMINI and interoperability across institutions and electronic medical records systems [7:50] Pooling data: batch data dumps vs. real-time data feeds [11:16] Data de-identification, Five Safes framework, and handling unstructured personal health information [13:35] What is federated learning? [18:20] Benefits of data sharing in health care from reducing length of hospital stay to recognizing/predicting delirium in patients [22:15] Ensuring transparency and fostering trust [29:10] Explaining the use of AI to patients [33:45] Resources: GEMINI AI Scribes: Key Considerations for the Health Care Sector (IPC Guidance) AI Scribes Checklist: Key Considerations for the Health Care Sector (IPC Guidance) Principles for the Responsible Use of Artificial Intelligence (IPC and Ontario Human Rights Commission) Digital Health Under PHIPA: Selected Overview (IPC Guidance) Case of Note: Artificial intelligence gone wrong: Why custodians need strong AI frameworks and policies (IPC Guidance) Privacy Day 2026: Trustworthy AI in Health: The Promise, Perils, and Protections (YouTube) Privacy Day 2025: The Power of PETs: Privacy Enhancing Technologies (YouTube) Info Matters is a podcast about people, privacy, and access to information hosted by Patricia Kosseim, Information and Privacy Commissioner of Ontario. We dive into conversations with people from all walks of life and hear stories about the access and privacy issues that matter most to them.  If you enjoyed the podcast, leave us a rating or a review.  Have an access to information or privacy topic you want to learn more about? Interested in being a guest on the show? Comment on our posts on BlueSky and LinkedIn or email your ideas to podcast@ipc.on.ca. The information, opinions, and recommendations presented in this podcast are for general information only. It should not be relied upon as a substitute for legal advice. Unless specifically stated otherwise, the IPC does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this podcast, and information from this podcast should not be used or reproduced in any way to imply such approval or endorsement. None of the information, opinions and recommendations presented in this podcast bind the IPC's Tribunal that may be called upon to independently investigate and decide upon an individual complaint or appeal based on the specific facts and unique circumstances of a given case.

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.

Today, Randy Gunn, BULLWEALTH's VP and Portfolio Manager, launches the first episode in a new podcast series on Artificial Intelligence with Nabil Beitinjaneh, Faculty Lecturer at McGill University's School of Continuing Studies and Coordinator of its Data Science and Data Analytics programs. With more than 25 years of experience in systems and process engineering across both corporate and entrepreneurial settings, Nabil joins Randy for his first podcast discussion on this topic. Together, they explore how AI is not replacing professionals but reshaping how professional work is performed by increasing speed, processing power, and reach, while leaving accountability, judgment, and responsibility firmly in human hands. Their conversation also examines why human judgment becomes even more valuable in an AI-enabled world, how polished AI output can still be wrong, the risks to junior-level training and apprenticeship, the importance of governance and human oversight in high-stakes decisions, and why trust will continue to depend on context, empathy, and human understanding rather than speed alone. Overall, they offer a thoughtful and practical discussion on how AI can improve productivity and support better work when used with care, discipline, and sound judgment.

Cet épisode est le premier d'un nouveau format : le Talk Show DataGen. Trois leaders data & IA sont réunis pour débattre et échanger sur une tendance data & IA et sur l'actualité du marché.Dans ce premier épisode, on échange sur l'accélération de l'AI Analytics et son impact sur l'équipe Data Analytics avec :Juliette Duizabo, Head of Data chez PhotoroomÉdouard Flouriot, Directeur Data Analytics chez Sorareet Christelle Marfaing, ex-Head of Data chez Lydia puis chez May, aujourd'hui freelance Head of Data / Lead Data.On aborde :

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.

Fluent Fiction - Korean: Blossoming in Gangnam: Minseo's Journey to Confidence Find the full episode transcript, vocabulary words, and more:fluentfiction.com/ko/episode/2026-05-19-22-34-01-ko Story Transcript:Ko: 강남의 스타트업 인큐베이터는 언제나 활기가 넘쳤습니다.En: The startup incubator in Gangnam was always bustling with energy.Ko: 봄 바람이 불고, 창밖으로는 벚꽃이 만개해 있었습니다.En: The spring breeze was blowing, and cherry blossoms were in full bloom outside the window.Ko: 이곳에서 민서는 데이터 분석가로 일하고 있었습니다.En: Here, Minseo was working as a data analyst.Ko: 하지만 그녀는 항상 자신의 능력에 대해 회의적이었습니다.En: However, she was always skeptical about her abilities.Ko: 민서의 마음 깊은 곳에는 자신이 이 일을 잘 해낼 수 있을지에 대한 두려움이 있었습니다.En: Deep in her heart, Minseo had fears about whether she could excel in this job.Ko: 부처님 오신 날이 다가오고 모든 사람이 들떠 있는 가운데, 민서에게는 큰 문제가 닥쳤습니다.En: As Buddha's Birthday approached and everyone was excited, a major problem arose for Minseo.Ko: 중요한 프로젝트의 데이터 분석이 실패한 것입니다.En: The data analysis for an important project had failed.Ko: 키프레젠테이션을 앞두고 데이터 분석이 잘못 되었다는 사실에, 민서는 당황했습니다.En: Facing a key presentation, Minseo was taken aback to discover the data analysis was incorrect.Ko: 민서의 동료 지원과 은지는 그녀를 믿고 기다리고 있었습니다.En: Her colleagues, Jiwon and Eunji, were waiting for her, trusting in her abilities.Ko: 이들의 기대가 민서에게는 큰 부담으로 다가왔습니다.En: Their expectations weighed heavily on Minseo.Ko: 민서는 고민했습니다.En: Minseo pondered over what to do next.Ko: 도움을 요청할 것인지, 아니면 혼자 해결할 것인지 결정해야 했습니다.En: She had to decide whether to ask for help or resolve it on her own.Ko: 도움을 요청하는 것이 그녀에게는 약해보이는 것 같았습니다.En: Asking for help seemed like a sign of weakness to her.Ko: 그러나 시간이 부족했습니다.En: However, time was running out.Ko: 결국 민서는 작지만 큰 결심을 합니다.En: Ultimately, Minseo made a decision, small yet significant.Ko: 지원과 은지에게 도움을 요청하기로 한 것입니다.En: She decided to ask Jiwon and Eunji for help.Ko: "지원, 은지야," 민서는 조용히 말했습니다. "도와줄 수 있어?"En: "Jiwon, Eunji," Minseo quietly said. "Can you help me?"Ko: 지원과 은지는 즉각적으로 그녀의 요청에 응했습니다.En: Jiwon and Eunji immediately responded to her request.Ko: 셋은 밤 늦게까지 함께 데이터 분석을 진행했습니다.En: The three of them worked late into the night, analyzing the data together.Ko: 결국, 문제의 원인을 찾아냈습니다.En: Finally, they discovered the source of the problem.Ko: 데이터에 작은 오류가 있어서 그런 것이었습니다.En: It was due to a small error in the data.Ko: 이를 수정하고 나니 모두 안도의 한숨을 내쉬었습니다.En: Once corrected, they all breathed a sigh of relief.Ko: 발표 날, 세 사람은 긴장했지만 준비한 자료를 자신 있게 발표했습니다.En: On the day of the presentation, the three were nervous but confidently presented their prepared materials.Ko: 청중으로부터 박수를 받고, 투자자들은 깊은 인상을 받았습니다.En: They received applause from the audience, and the investors were deeply impressed.Ko: 민서는 자신감을 되찾았습니다. 그리고 동료들과의 관계도 한층 더 돈독해졌습니다.En: Minseo regained her confidence, and her relationship with her colleagues grew even stronger.Ko: 민서는 알게 되었습니다. 때때로 도움을 요청하는 것이 약함이 아니라, 오히려 강함이라는 것을.En: Minseo realized that asking for help at times is not a sign of weakness, but rather a sign of strength.Ko: 그리고 협력이 얼마나 중요한지를 깨달았습니다.En: She also understood how important collaboration is.Ko: 이제 그녀의 앞에는 그 무엇도 두렵지 않았습니다.En: Now, nothing ahead seemed daunting to her.Ko: 강남의 벚꽃처럼 그녀도 이제 활짝 피어난 것입니다.En: Like the cherry blossoms in Gangnam, she too had blossomed beautifully. Vocabulary Words:incubator: 인큐베이터bustling: 활기 넘치는energy: 에너지breeze: 바람bloom: 만개analyze: 분석하다skeptical: 회의적인abilities: 능력excel: 능가하다approached: 다가오다major: 큰presentation: 발표taken aback: 당황한incorrect: 잘못된colleagues: 동료expectations: 기대weighed: 부담되다pondered: 고민하다resolve: 해결하다weakness: 약함ultimate: 결국의significant: 중요한request: 요청immediately: 즉각적으로source: 원인corrected: 수정된confidence: 자신감collaboration: 협력daunting: 겁나는blossomed: 피어나다

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

On this episode of the Precision Farming Dealer Podcast, brought to you by Ag Express, we catch up with Layne Richins, chief technology officer for 24-store John Deere dealer Stotz Equipment.

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 

The first of three episodes recorded at Google Cloud NEXT, Las Vegas in partnership with Kyndryl, the world's largest IT infrastructure services provider Host Russell Goldsmith was joined by: 1/ Kris Lovejoy, Global Head of Strategy, Kyndryl 2/ Vincenzo Forciniti, AI Adoption and Data Platform Leader, Fastweb & Vodafone 3/ Adrian Tatsch, VP AI Technology & Innovation, Equifax 4/ Patrick Bobrukiewicz, VP Data Services, Thrive Restaurant Group 5/ Kaapro Kanto, VP, Cybersecurity & Digital Platforms, DNA 6/ Brad Duff-Hudkins, VP Data Analytics, Next After Each of our guests offered a grounded, real‑world view of AI adoption at scale. The episode opens with Kris Lovejoy, Global Head of Strategy at Kyndryl, who outlines why digital sovereignty, geopolitical risk and regulatory pressure are reshaping enterprise architecture. She also breaks down the guardrails required for employee productivity tools versus mission‑critical agentic systems and why modernisation itself has become a security control. Next, Vincenzo Forciniti, AI Adoption & Data Platform Leader at Fastweb and Vodafone Italia, discusses the data‑unification challenges following Fastweb's acquisition of Vodafone Italia. He shares how the team built a shared data catalogue, why change management is often harder than technology, and how modernising legacy stacks is enabling scaled AI across SDLC optimisation, operations and customer‑facing processes. We then hear from Adrian Tatsch, VP of AI Technology & Innovation at Equifax, who explains how the company is connecting APIs to AI agents using Apigee MCP, and how Equifax's multi‑billion‑dollar cloud transformation has accelerated AI maturity. Adrian explains how Equifax is redefining human vs. non‑human work, upskilling, and measuring ROI across the organisation. Patrick Bobrukiewicz, VP of Data Services at Thrive Restaurant Group, shares a hospitality‑sector perspective on AI adoption. Kaapro Kanto, VP, Cybersecurity & Digital Platforms, DNA explains how DNA moved from traditional network operations to AI‑driven SecOps, enabling small businesses to benefit from enterprise‑grade detection, automation and response, and why the biggest barrier to AI maturity is shifting from pilot experiments to trusted, scalable operational models. And finally Brad Duff‑Hudkins, VP of Data Analytics at NextAfter, explains how his team used Google's data engineering agents to cut onboarding time from 2–3 weeks to just 72 hours, and why agentic AI is already unlocking faster, more personalised, more scalable data operations for lean teams. A fast, insight‑rich episode capturing the reality of AI transformation inside complex global enterprises, from security and sovereignty to data foundations, workflow automation and the future of human‑machine collaboration.

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

Dive into the raw truth of HR analytics, why it's all about storytelling backed by solid numbers. This episode uncovers how HR leaders can finally translate their human capital efforts into undeniable business value. Prepare to be inspired, challenged, and energized to rethink what your HR data can do!  Key Insights  The gap between HR stories and financial impact is real; HR needs to quantify their contributions.  Successful organizations are integrating HR metrics with business and financial data for compelling storytelling.  External benchmarks are critical to understanding where your organization stands are you best in class or in need of improvement?  Using visualization and advanced analytics makes complex data accessible and impactful for HR leaders.  Building tight collaborations with operations and finance is essential for accurate, meaningful HR metrics.  Small steps like analyzing turnover costs or onboarding ROI can start a powerful transformation.  HR must embrace a mindset of continuous measurement, storytelling, and adjusting based on macroeconomic shifts.  Investing in analytics tools and skills early helps HR lead from a position of influence and credibility.  Timestamps  00:00 - Welcome & intro to Schon Parris, HR data rockstar 02:45 - Schon's musical side and leadership journey at ADP 03:58 - Helping HR quantify workforce value through analytics 04:40 - The gap between HR stories and quantifiable business impact 05:34 - Why HR struggles to show ROI like sales or operations 06:39 - Bridging HR and finance through better skills and tools 07:32 - How AI and advanced analytics are changing the game 09:02 - Turning HR metrics into financial and business outcomes 10:02 - The importance of collaboration in understanding turnover costs 11:01 - Performance metrics for hourly workers and ubiquitous data 12:13 - The challenge of rolling up workforce data in organizations 13:10 - Building business cases for HR investments 14:16 - The power of visualization and storytelling with analytics 15:04 - Using metrics to tell compelling, data-backed HR stories 17:15 - The importance of granular data to prevent surprises 18:30 - Small steps that HR can take to demonstrate value 20:10 - Putting the numbers into business language for leadership 21:43 - Using external benchmarks to inform strategy 23:08 - Visual storytelling to connect HR efforts with profitability 24:15 - Deep-diving into specific workforce segments 25:03 - Tracking HR impact continuously, not just quarterly 26:40 - The importance of contextualizing data within macroeconomic shifts 27:57 - Steps to start building a data-driven HR culture  Resources & Links  How to Measure HR's Impact on Business  Power of Data Visualization in HR  Turnover Cost Analysis Tool  External Benchmarks for HR Metrics  Connect with Schon Parris  LinkedIn  Twitter  Final Thought  This episode is a rallying cry for HR leaders to step into their data-driven power. Metrics are no longer optional,they are the language of impact and influence. Start small, visualize boldly, and tell your stories with undeniable proof. Your workforce's true value depends on it!

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.

Unlock AI for Retail and Predictive data analytics success with Samsoe Samsoe and Cisco Meraki. In this episode of Tech Unscripted, Bryan Jones (SVP, Cisco) sits down with Simeon Solarsky, Head of IT and Operations at Samsoe Samsoe, to explore how to bridge the gap between online presence and brick-and-mortar stores. We dive deep into how leveraging Predictive data analytics and modern infrastructure like Wi-Fi 7 can turn IT from a cost center into a powerful engine for growth. Moderator:    Bryan Jones – SVP Cisco Participants:    Simeon Solarsky – Head of IT and Operations at Samsoe Samsoe

This week, Mark catches up with Will Barton from Gundagai Meat Processors (GMP) to chat about what has changed since his last appearance on the podcast and where things are heading next for Gundagai.Gundagai has built a reputation for doing things differently, with a clear focus on eating quality and how that is measured and paid for. Will explains how a focus on eating quality, particularly intramuscular fat, has shaped their grid, and why balancing that with lean meat yield and animal health has been critical to maintaining consistency. Will also explains their feedback loop between processor and producer. With full EID integration now in place, the ability to link on farm decisions directly to carcass outcomes is no longer theoretical and is now happening at scale. Head Shepherd is brought to you by neXtgen Agri International Limited. We help livestock farmers get the most out of the genetics they farm with. Get in touch with us if you would like to hear more about how we can help you do what you do best: info@nextgenagri.com.Thanks to our sponsors at MSD Animal Health and Allflex, Heiniger Australia and New Zealand, and ProWay Livestock Equipment. Please consider them when making product choices, as they are instrumental in enabling us to bring you this podcast each week.Check out the MSD range HERECheck out Allflex products HERECheck out Heiniger's product range HERECheck out ProWay's product range HERE

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.

Discover actionable strategies to boost your insurance agency's growth without adding extra headcount. Hosted by industry experts Daniel Metcalf and Mike Stromsoe, this episode dives into the power of retention, cross-selling, and building systems that create long-term client relationships.Key Topics:The importance of viewing renewals as a sales process rather than an admin taskHow to use data analytics and AI to identify and repair leaky buckets in client retentionStrategies for onboarding clients to start retention efforts early, even before renewalsLeveraging existing client relationships for referrals and cross-sellsBuilding a client-centric team culture to prevent commoditizationThe role of communication and systems in proactive relationship managementFinancial impact of retention: lifetime value versus short-term revenueThe "Save Plays" system for at-risk accounts to retain clients before they shop aroundData accuracy and clean data as the foundation of effective retention strategyHow market softness makes existing client relationships even more vital for cash flowConnect with Daniel:LinkedInWebsiteConnect with Mike:LinkedInWebsiteStay ahead in your agency's growth by building a systemized, client-focused approach. Don't just chase new business—maximize what you already have with proven retention strategies, effective data use, and strong team communication.

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

Lalita du Perron talks to Muskan Shafat '21 about the ongoing relevance of the Stanford Global Studies/South Asia track Minor, her experiences since graduating from Stanford, and her new company Frontier Labs.Learn more about Muskan Shafat's work and how to get in touch here.Learn about Shafat's research here.Learn more about the financial clarity programme or Money System here.

In this episode of Control Intelligence, editor in chief Mike Bacidore is joined by an important figure in the controls and automation world, 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. He's played a central role in aligning machine-building with data-enabled systems before Industry 4.0 was a thing. 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.

Amid all the noise of AI hype, one thing remains constant: organizations still rely on trusted, reliable reporting as the foundation for decision-making. In fact, reporting is becoming more critical in an AI-first world, because governed, auditable data underpins every intelligent outcome. The question is how to architect for performance, scalability, and user expectations. In this episode of DM Radio, Host Eric Kavanagh will be joined by Evelyn Chou and Jeff Hainsworth of insightsoftware Data + Analytics. We'll explore how architectural choices fundamentally shape reporting outcomes. Where should processing occur? There are key differences between web-based and server-side approaches, such as tradeoffs in interactivity, precision, scalability, and embedded analytics. We'll also discuss the growing case for a hybrid strategy, where multiple reporting engines work together to meet diverse enterprise needs. From high-volume, back-end report generation to rich, interactive user experiences, modern analytics stacks increasingly demand flexibility, which should ideally be baked into the analytic architecture, not bolted on.

We're excited to welcome Lea Khasidi, product management freelancer, founder and CEO of MaPott, and soon‑to‑be author, for a powerful conversation on gender-based data analytics for product managers.Lea shares her journey from intelligence work in the IDF, through product roles in EdTech, cybersecurity, and beyond, to founding a health management app for women with chronic conditions. Along the way, one pivotal discovery while consolidating four cybersecurity platforms, seeing men and women use the same filtering feature in completely different ways, sparked her deep focus on how gender shapes behavior in our products, especially in B2B contexts where it's often ignored.Join Matt and Moshe as they explore with Lea:How a real-world analytics puzzle revealed stark gender differences in workflow, and changed how she thinks about usage dataThe three pillars of context we can't change (who users are, how they act, where they work) and the one we can: what we give them in the productHow “hacks” and workarounds used by different genders can hint at your next featuresA practical system for existing products: using analytics to segment by gender, spotting behavioral differences, then following up with observation and interviewsHow to approach gender representation when validating new products, and why balanced samples matter even for seemingly “neutral” toolsWays to lean on existing research about gender patterns in your domain (health, education, finance, etc.) instead of guessing from scratchWhy early-stage startups should ship faster and learn from usage, while mature products might rely more on A/B tests and targeted outreachThe risk of building solely from our own biases and assumptions, and why gender should be on the PM checklist, even if it's not always the first lensLea's upcoming book on gender-based analytics for PMsOne piece of advice she has for founders learning to trust their insight while staying open to the dataAnd much more!Want to connect with Lea or learn more?LinkedIn: https://www.linkedin.com/in/lea-khasidi/ Website: https://leakhasidi.comMaPott: https://www.ma-pott.com/ You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Unlock AI for Retail and Predictive data analytics success with Samsoe Samsoe and Cisco Meraki. In this episode of Tech Unscripted, Bryan Jones (SVP, Cisco) sits down with Simeon Solarsky, Head of IT and Operations at Samsoe Samsoe, to explore how to bridge the gap between online presence and brick-and-mortar stores. We dive deep into how leveraging Predictive data analytics and modern infrastructure like Wi-Fi 7 can turn IT from a cost center into a powerful engine for growth.

From Data Chaos to Clarity!In this clip, Altaf Patel, VP, Data Analytics & AI at PepsiCo, highlights a major challenge in large enterprises: fragmented intelligence.With countless dashboards and reports, decision-makers can get overwhelmed, sometimes to the point of ignoring insights altogether

Lori Runion, a director at Resultant, identifies inadequate scheduling and related staffing unpredictability as a central cause of clinician burnout. Healthcare organizations traditionally rely on historical averages for scheduling, often resulting in a mismatch between patient demand and clinician capacity. Breaking down data silos and using analytics and AI to create predictive staffing models can help forecast demand, anticipate seasonal spikes, and enable proactive staffing to reduce clinician burnout. Lori explains, " From my perspective, burnout is driven at the operational level. To say it most simply, I think that burnout is driven by unpredictability, specifically, what I want to talk a little bit about, predictive staffing. And so, when we think about staffing, the unpredictability and misalignment between patient demand and staffing capacity are really what's driving it. So I don't think it's a lack of resilience. I don't think it's necessarily that there are gaps in care, but there are constant coverage gaps and volatility in the workload. And so I think it's ultimately driven by that mismatch when patient demand and clinician capacity are misaligned. I think that healthcare is traditionally staffed based on historical averages rather than dynamic demand or patterns, and that's what creates the unpredictable shifts and last-minute schedule changes that lead to overextension and exhaustion, which drive burnout."   "So, for example, you think about your EHR, which includes your demand, your patient medical record, and you have a scheduling system that shows available capacity, and you may have claims data that shows utilization patterns or other things. So when they are only looking at one system, they have some blind spots. And so I think that if they're looking at connected systems and pulling all that data together to identify patterns and really see the full picture, that's where they can align patient demand with staffing capacity." #Resultant #HealthcareBurnout #PatientSafety #HealthcareLeadership #PredictiveAnalytics #HealthcareData #WorkforceOptimization#ClinicianBurnout #HealthcareAnalytics #PredictiveStaffing #HealthcareIT #DataDriven #PatientCare #HealthcareLeadership #AIinHealthcare #WorkforceOptimization #HealthcareInnovation resultant.com Download the transcript here

Lori Runion, a director at Resultant, identifies inadequate scheduling and related staffing unpredictability as a central cause of clinician burnout. Healthcare organizations traditionally rely on historical averages for scheduling, often resulting in a mismatch between patient demand and clinician capacity. Breaking down data silos and using analytics and AI to create predictive staffing models can help forecast demand, anticipate seasonal spikes, and enable proactive staffing to reduce clinician burnout. Lori explains, " From my perspective, burnout is driven at the operational level. To say it most simply, I think that burnout is driven by unpredictability, specifically, what I want to talk a little bit about, predictive staffing. And so, when we think about staffing, the unpredictability and misalignment between patient demand and staffing capacity are really what's driving it. So I don't think it's a lack of resilience. I don't think it's necessarily that there are gaps in care, but there are constant coverage gaps and volatility in the workload. And so I think it's ultimately driven by that mismatch when patient demand and clinician capacity are misaligned. I think that healthcare is traditionally staffed based on historical averages rather than dynamic demand or patterns, and that's what creates the unpredictable shifts and last-minute schedule changes that lead to overextension and exhaustion, which drive burnout."   "So, for example, you think about your EHR, which includes your demand, your patient medical record, and you have a scheduling system that shows available capacity, and you may have claims data that shows utilization patterns or other things. So when they are only looking at one system, they have some blind spots. And so I think that if they're looking at connected systems and pulling all that data together to identify patterns and really see the full picture, that's where they can align patient demand with staffing capacity." #Resultant #HealthcareBurnout #PatientSafety #HealthcareLeadership #PredictiveAnalytics #HealthcareData #WorkforceOptimization#ClinicianBurnout #HealthcareAnalytics #PredictiveStaffing #HealthcareIT #DataDriven #PatientCare #HealthcareLeadership #AIinHealthcare #WorkforceOptimization #HealthcareInnovation resultant.com  Listen to the podcast here

Guests:Dr Jessie Smith, Research Associate in Sustainable Aviation at the Department of Engineering at the University of CambridgeDr Fergus McAuliffe, Head of Research Engagement and Impact at Trinity College DublinDr Shelley Brady, Insight Research Ireland Centre for Data Analytics at DCU

Adam Segal is the Co-Founder and CEO of Cove, a property operations and tenant experience platform used across 3,500 buildings in the US, and 15% of office buildings in Manhattan, NYC. He started as an operator, building and managing a network of coworking spaces, which led to creating Cove as an in-house solution to run building operations more efficiently. Under his leadership, Cove has grown into a unified platform that replaces fragmented systems across access, maintenance, visitor management, and tenant engagement, and is trusted by major institutional owners including RXR, Silverstein, Nuveen, and Blackstone, powering operations in assets like Chicago's Willis Tower. Adam focuses on solving real operational problems for property teams first, then scaling those solutions across portfolios to improve efficiency, retention, and overall asset performance.(02:01) - From Coworking to Cove(03:19) - Platform & Asset Focus(05:08) - Willis Tower(07:05) - How Cove Wins Buildings(10:04) - Change Management Playbook(13:11) - Operational Blind Spots(15:46) - Owner vs 3rd-party Management(18:12) - Feature: CREtech New York(19:35) - How Tenants Use Cove(23:37) - AI in Property Operations(26:36) - Real-Time Feedback(29:05) - Staying Through Asset Sales(30:36) - Collaboration Superpower: Thomas A. Edison

حلقة جديدة من البودكاسترز مع عمرو عوض الله

In this episode of the Real Estate Pros Podcast, Michelle Kesil sits down with Neal Bawa, CEO of Grocapitus and a data-driven multifamily investor, to discuss how analytics and artificial intelligence are transforming real estate investing. Neal explains how his team analyzes hundreds of U.S. markets using key metrics such as population growth, job growth, income growth, home price growth, and crime reduction to identify the most promising opportunities. He shares why strong markets eventually become expensive and how smart investors must move between markets as cycles change.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Brian Turner is the CEO of OTI, a master systems integrator that connects HVAC, lighting, and building systems into unified platforms to drive operational and energy efficiency, and ESG performance across the built environment. With over 30 years of experience in building automation, Brian has worked closely with major property owners to advance system integration and building data strategies. Prior to OTI, he led Controlco and later BuildingsIOT, where he helped shape the evolution of smart building infrastructure and IoT-driven operations.  At OTI, Brian is focused on transforming how buildings operate by bringing together fragmented systems into a single, intelligent layer—making buildings smarter, more efficient, and easier to manage.(01:40) - What's OTI (02:32) - 30 Years of Building Technology(04:13) - The Retrofit Opportunity(05:55) - Why LEED Performance Slips(07:03) - Investing in Energy Technology(11:17) - A Unified Brain for Buildings(14:48) - How OTI Engages Clients(16:08) - Product Roadmap(18:55) - Regulation vs Real Market Drivers(19:59) - Comfort Across Asset Classes(25:27) - Feature: Blueprint: The Future of Real Estate 2026 in Vegas on Sep. 22-24(26:19) - Local Law 97(27:49) - When Owners Take Action on Energy(34:33) - Split Incentives in Leases(38:12) - Passive House Needs Operational Technology(40:20) - Wireless & Lower Retrofit Costs(44:49) - Where AI Adds Value(48:20) - Collaboration Superpower: Albert Einstein and Claude Shannon

Tanvi Singh draws on over two decades of building and governing AI systems inside global banks to make a provocative case: you cannot be accountable for decisions you do not control. Enterprises are consuming intelligence through models they don't own, can't explain, and didn't train. Singh reframes sovereignty beyond data center locations and infrastructure, to control across the entire stack, so that an organization's AI reflects its own values, laws, and culture. Whlile frontier LLMs will continue to dominate the consumer and retail market, she argues that domain-specific models will be important for enterprise and regulated use cases, offering better accuracy at dramatically lower cost. The conversation also touches on Singh's engagement with the Vatican's Pontifical Academy of Sciences around AI ethics, which has worked on benchmarks that reflect institutional values rather than defaulting to the cultural norms baked into large internet-trained models. Tanvi Singh is the Co-Founder and CEO of Ekta Inc., a sovereign AI platform company building domain-specific foundation models for governments and regulated industries. She previously served as Group Head of AI, Data & Analytics at UBS and held senior technology leadership roles at Credit Suisse, GE, and Monsanto. She is the founder and managing partner of Nirmata-ai Ventures, a Zurich-based deep-tech venture fund, and serves as a board member of the Global Blockchain Business Council and GirlsCanCode.  Transcript Sovereign AI: Why States and Institutions Have to Take Back Their Digital Intelligence (HSToday, co-authored with Thomas Cellucci) Ekta AI  

Michael Feldman is the former CEO and Co-Founder of Choice New York Companies, a group of firms providing property management, building staffing, and brokerage services to medium and large residential buildings across New York City. He built the company from zero revenue to roughly $27M in revenue and $5.1M in EBITDA before selling the business to Associa Corp. in 2021. Today, Michael remains active in the real estate industry as a real estate and tech investor and advisor, bringing decades of operational experience building and scaling service platforms in the New York multifamily market and beyond.(01:17) - From Hollywood to New York Real Estate(03:35) - How PM Models Evolved(04:50) - Decision to Exit in 2021(05:59) - Why Few New Entrants & Barriers to Entry(09:49) - AI Use Cases in Property Management(12:00) - Feature: Blueprint: The Future of Real Estate 2026 in Vegas on Sep. 22-24(12:51) - 'War' Stories(16:05) - M&A & Industry Consolidation(20:51) - Collaboration Superpower: Winston Churchill

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

Brian Piper is an author, keynote speaker, and the Director of Content Strategy and Assessment at the University of Rochester. But he's also a man who's spent decades jumping out of perfectly good airplanes. In this episode of Punch Out with Katie and Kerry, we talk with Brian about his 3,000+ skydive career, the terrifying reality of "proximity flying," and why his first wedding involved a formation of four Elvis impersonators in freefall. In this episode we learned: Why Brian originally said "absolutely not" to jumping out of planes until the Army offered him an extra $100 a month in hazard pay. The difference between round and square parachutes (and why one feels like hitting a wall while the other lets you stand up). What it's like to have a "Liza Minnelli" moment (a student panicking) while strapped to someone in a tandem jump. The reality of "proximity flying" and why Brian draws the line at a 25% mortality rate. Why tandem jumps are the ultimate bonding experience—and why the small talk inside the plane is the most awkward part. The story of the "Flying Elvises" at Brian's first wedding. Want to know more about Brian? You can find him at: Website: BrianWPiper.com LinkedIn: https://www.linkedin.com/in/brianwpiper/ Focus Areas: Content Strategy, Data Analytics, and High-Altitude Adventure. This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion. Head to businessops.co/punchout to access your free starter kit. Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

CTO Sam Pierson explains how Qlik's associative engine and agentic AI are transforming the way businesses uncover insights and what's next on the data frontier.Topics Include:Qlik is a 30-year-old data analytics and AI company with global customers.Qlik's associative engine surfaces insights from data you aren't even examining.A paper manufacturer optimized supply chain routing and navigated tariff complexity.Generative AI can't easily query databases — Qlik's engine bridges that gap.Qlik built an agentic layer enabling natural language conversations with your data.MCP integration lets users access Qlik insights directly from tools like Claude Desktop.Qlik runs entirely on AWS, with global regions built around local compliance requirements.The AWS partnership prioritizes mutual success over transactional service relationships.Agents will mature in 2026; some agentic bets will succeed, others will be refactored.Fine-tuned, smaller language models will grow in importance alongside larger ones.AI adoption requires restructuring workflows end-to-end, from product spec to go-to-market.Qlik is hiring for curiosity and agency — people who experiment without waiting for permission.Participants:Sam Pierson – Chief Technology Officer, QlikSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

“The most curious person in multifamily,” Moshe Crane is the VP of Branding and Strategic Initiatives at Sage Ventures, a Maryland-based real estate investment and management firm focused on multifamily and other asset acquisitions and development in the Baltimore-Washington corridor. The company manages more than $1B in assets and over 4,000 apartment units while developing and selling new homes. Moshe also hosts the Curious Wire podcast and writes the Curious Deal newsletter, where he breaks down multifamily deals, careers, and industry trends while exploring how operators build, finance, and scale real estate businesses.(01:45) - Moshe's Real Estate Path(02:32) - Deals Returning to the Market(06:05) - Sage Ventures' Market Focus(07:27) - Defining Great Operators(08:27) - The Third-Party Talent Crunch(10:17) - Systems Beat Stars(12:36) - The Sage Operations Playbook(15:47) - Fraud Screening Tools(19:01) - The Roving Team Mindset(21:05) - Moshe's Role(23:56) - Feature: CREtech New York Oct. 20–21 (25:52) - The Accidental Self-Storage Win(26:41) - Office-to-Storage Conversions(28:21) - A Scrappy Deal Mix(28:58) - Low-Basis Development Opportunities(29:46) - Pitching Flexibility to LPs(30:26) - No Gurus, Just Operators(33:58) - Discipline Over Vertical Integration(36:19) - PropTech Ecosystem Shifts(39:38) - Proptech Adoption(44:42) - Motivation, Curiosity & Faith(49:31) - Collaboration Superpower: Bill Walsh

I speak with Dr David Moran in this week's episode. David is a coach and coach developer in Gaelic games. He is a post-doctoral researcher with the Insight Research Ireland Centre for Data Analytics and the School of Health and Human Performance at Dublin City University. We discuss a paper David led which examines grouping players by ability. Following the introduction of formal competition structures, youth sport often features ability grouping, referred to as streaming, for training and competition. In Gaelic games, a set of participatory sports indigenous to Ireland, streaming is commonly used to organize players. Despite its prevalence, streaming in sport has been under-researched. This study explored the experiences and perceptions of players, parents, and coaches across five Gaelic games clubs. It's findings on the advantages and disadvantages of streaming are relevant across all sports and will be of interest to every coach involved in youth sports. 

In this conversation, Tommy Mello interviews Benjy, a data analytics expert, discussing the critical role of data in AI and marketing. They explore how businesses can leverage customer data for targeted marketing strategies, the importance of consistent marketing efforts, and the future implications of AI on the workforce. Benjy shares insights on understanding customer personas and the necessity of viewing marketing as an investment rather than a cost. The discussion also touches on the evolving landscape of AI and its potential impact on human roles in various industries.   00:00 The Importance of Data in AI 01:30 Benjy's Journey into Data Analytics 02:43 The Excitement of AI and Data Lakes 03:56 Leveraging Customer Data for Business Growth 05:02 Targeted Marketing Strategies 06:22 Neighborhood Targeting and Data Utilization 08:04 The Power of Consistent Marketing 10:16 Marketing as an Investment 12:57 The Future of AI and Human Adaptation 15:05 The Role of Data in Consumer Confidence 17:16 Optimism and Concerns about AI's Impact 18:14 Understanding Your Ideal Client