Podcasts about data analytics

Send us Fan MailEvery click, purchase, transaction and customer interaction creates data—but who turns those numbers into useful business decisions?In this episode of The Kapeel Gupta Career PodShow, explore the career of a Data Analyst, one of the most versatile data-driven career options today.Discover what data analysts actually do, the career scope in India and abroad, essential skills, educational pathways, tools such as Excel, SQL, Python and Power BI, salary potential, top colleges and career opportunities.If you enjoy numbers, patterns, problem-solving and technology, this episode will help you understand whether Data Analytics could be the right career for you.

Most wine drinkers picture a boutique vineyard. Andrew Rice says the real story is scale: hundreds of rail cars, thousands of truckloads, and a regulatory maze most consumers never see. In this episode of Supply Chain Now, Scott Luton and special guest co-host Wanda Johnson speak with Andrew Rice, senior ERP technical product manager at Gallo, about the wine supply chain. From grape to glass, government regulation and the three-tier system, harvest and weather risk, inventory and aging complexity, and how technology like agentic AI is transforming operations. Andrew explains why wine supply chain complexity comes down to regulation and aging, how Gallo balances luxury and commercial brands against the unpredictability of nature, why most wine should actually be consumed within one to five years rather than aged indefinitely, and how Gallo's tech-forward culture is helping the company scale one of the world's oldest industries. Jump into the conversation:(00:00) Introduction(02:52) Meet Andrew Rice, senior ERP technical product manager at Gallo(08:19) What makes the wine supply chain unique: regulation and the three-tier system(15:25) From grape to glass: mapping Gallo's supply chain functions(24:08) How weather and harvest conditions shape flavor and planning(34:10) What surprises people most about the wine industry: it's the scale(42:27) The truth about wine and aging: most bottles won't get better with time(48:11) How robotics, and agentic AI are transforming Gallo's operations Additional Links & Resources:Connect with Andrew Rice: https://www.linkedin.com/in/andrew-rice-supplychain/ Learn more about Gallo: http://www.gallo.com Connect with Wanda Johnson: https://www.linkedin.com/in/wanda-riddick-johnson-28070a3/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ Learn more about Blue Yonder Cognitive Solutions: http://blueyonder.com/cognitiveWEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6KWEBINAR- Labor Is a Margin Decision: How Reyes Coca-Cola Bottling Spent a Decade Making It Stick: https://bit.ly/4d4FauGWEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2ZWEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem This episode was hosted by Scott Luton and Wanda Johnson, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/inside-gallos-grape-glass-supply-chain-1632 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

How often do opinion polls get it right and zero in on what Americans are actually thinking and feeling when it comes to elections?We've all seen political polls get it wrong, miss the mark and be an inaccurate barometer of public sentiment.With an election looming, polling is in overdrive.Could AI make polling more accurate? That's what a group at Ohio State is working to find out.Without question, work has changed post-pandemic. Workers and managers have had to navigate many obstacles, including working from home, Zoom, and more recently, the addition of AI.But just because work looks different, it doesn't mean the work isn't working.Smart lights are new ways of creating unique atmospheres in homes. Some of the lights are now using generative AI.Dry cat food dispensers have existed for a while now, but what about cats who prefer wet food?Dishwashers are beginning to include cameras. How do they help get your dishes cleaner?We're talking about all of these topics on this week's Tech Tuesday.Guests:Ryan Kennedy, political science professor and the Timashev Chair of Data Analytics, Ohio State UniversityGleb Tsipursky, author and CEO of Disaster Avoidance ExpertsRussell Holly, director of commerce content, CNET

What if zirconia could look even more like natural teeth? According to Dr. Ed McLaren, “Of all the zirconia's he's tested, the optical properties of Ivoclar's e.max zirconia are the closest to natural teeth.” (And I second that with everything I've see – if Barb does the read) Discover what's redefining the possibilities with IPS e.max Zirconia. Join Dr. Ed McLaren for Zirconia Reimagined—an informative webinar exploring the latest advancements, clinical insights, and practical applications of zirconia in modern dentistry. October 5th @ 7:00 pm. Register today at Vivalearning.com As full-arch dentistry continues to grow, so do the demands on today's dental laboratories. That's why Knight Dental recently launched SimplyARCH Studio, a dedicated production environment built exclusively for full-arch restorations. To support this specialized workflow, Knight invested in an XTCERA milling system and carefully evaluated multiple CAM software solutions before choosing hyperDENT. The decision came down to exceptional milling quality, minimal hand finishing, and impressive production efficiency. But what truly set hyperDENT apart was the implementation process. From the very beginning, the team provided more than software training—they shared the knowledge and experience needed to build an optimized workflow for complex full-arch cases. With proven expertise in advanced milling strategies and laboratory production, hyperDENT helped ensure SimplyARCH Studio was designed for long-term success from day one. What happens when you combine a family-run software company, decades of dental laboratory experience, and a mission to make labs run smarter? You get Magic Touch Software. In this episode, Elvis sits down with Dan Sinclair and Amir Bagheri to dig into the history, philosophy, and technology behind Magic Touch and find out why they believe a laboratory management system should do a whole lot more than just track cases through production. Dan shares his unexpected journey back to Magic Touch after leaving the company, while Amir takes us all the way back to the 1990s and the origins of the software, including how his father, Gary, helped develop what would eventually become the foundation of Magic Touch through his work with Glidewell. The conversation dives into the evolution from production-focused LMS platforms to complete business management systems that bring customer management, accounting, inventory, automation, digital case entry, integrations, reporting, and production workflows together in one place. We also get into one of the biggest challenges facing modern dental labs: digital case entry and the ever-growing pile of scanner portals and inboxes. Amir and Dan explain how Magic Touch can automate that process, reduce manual entry, minimize missed cases and errors, and give lab teams more time to actually work on cases instead of hunting them down. And if you've ever wondered how much time and money a lab can lose by having a collection of disconnected systems, this conversation makes a pretty compelling case for consolidation. But perhaps the biggest theme of the episode is that Magic Touch doesn't want to be just another software vendor. Their approach is built around implementation, consultation, process improvement, and helping labs understand what they actually want their business to look like before configuring the system to get them there. From breaking old habits to building super users, testing changes before they go live, and using data to identify where a lab needs to improve, the goal is to create a system that grows and changes with the business. Hey, listeners—ever wonder what Elvis is doing when he's not recording Voices from the Bench? He's a client rep for Derby Dental Laboratory, out in the field every day doing chairside visits and building relationships. His job is simple—keep doctors happy and keep them coming back. And he couldn't do it without iCortica. Right from his phone, Elvis can see sales, remake rates, account notes, risks, and cross-sell opportunities—even before he walks through the door. No spreadsheets. No surprises. Just the info he needs to grow accounts. Stop digging for data and start taking action. Head to icortica.com and schedule your demo today. Dental lab owners and managers — are you spending too much time chasing paperwork, checking portals, tracking cases, and answering doctors asking, “Is my crown done yet?” You didn't start a dental lab to become a full-time paperwork wrangler. LabNCloud is the all-in-one, cloud-based platform built by techs, for techs, with 90+ features to streamline your entire lab — from case tracking and invoicing to shipping, time tracking, doctor portals, and automatic digital file routing. Stop managing chaos and start managing your lab. Visit LabNCloud.com to book your free personalized demo. And mention “Elvis is Handsome” to get your first month free. LabNCloud — the operating system for dental labs. Built by techs, for techs.Special Guests: Amir Bagheri and Dan Sinclair.

Send me a messageAI can cut routine supply chain work and reduce payroll costs. But eliminating entry-level roles could leave your business short of experienced leaders when the next disruption demands judgement.I'm joined by Friddy Hoegener, owner of Scope Recruiting and a former supply chain professional. His experience in procurement and recruitment exposes a gap between filling today's vacancies and developing the people who will make tomorrow's decisions.Why do hiring processes stall even when a suitable candidate is available? We challenge the demand for an exact industry match and consider whether procurement teams could use the time freed by AI to qualify alternative suppliers before disruption.Listen now to rethink which supply chain roles you automate, which skills you hire for, and how you develop the people your business will need next.Also, check out Friday's podcast Procurement Pulse If disruption hit tomorrow, would you know where your supply chain was most exposed? In 15 minutes my free scorecard helps you assess 27 resilience statements, calculate your score, and turn the result into three priorities and a 30 day action plan. You can download the scorecard free at tomraftery.com/scorecard.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous Subscribers:Alicia FaragKieran OgnevGary LynchAnd remember you too can become a Resilient Supply Chain+ subscriber  - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to bonus episodes of topical, timely supply chain resilience analysis.

In this episode, we unpack the growing "Misdiagnosis Effect" in the age of GenAI, where organisations often focus on the technology they think they need rather than the problem they are trying to solve. Casey Ballard (Head of Strategic Applications, UK, US & EMEA), Suzanne Cowan (Head of Corporate & Construction, UK & EMEA) and Uchi Jayawardhena (Head of Data Analytics) explore why successful transformation starts with the problem, not the technology. Drawing on real client conversations and delivery experience, they discuss the value of navigating the often messy discovery process, balancing people, process, technology and data, and choosing the right solution rather than defaulting to GenAI. They also examine the challenges of consistency, governance and repeatability, highlighting why workflow redesign and automation can often deliver greater value than AI alone.

It's our 100th episode! And we're flipping the script: Stephen Goldsmith is the guest, not the host. And he shares stories that completely reframe how cities should think about technology — from a 1970s bot that shattered assumptions about poor people using tech, to why AI alone should never drive government decisions, to the importance of bench marking the status quo. In this episode, you'll learn: How to separate the AI hype from actually helpful AI uses (hint: it starts with a question). Why Goldsmith rejected patronizing attitudes around technology adoption, and proved detractors wrong. The distinction between "residents" and "customers," and how that changes everything about how you budget and design. How to give public servants back time and respect, rather than saddling them with meaningless tasks and paper pushing. Why your old, top-down performance management system is dead and why you need a new, democratized model. 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.

This episode of VHHA's Patients Come First podcast features Andre Tolleris, VHHA Director of Data Analytics, for a conversation about leveraging hospital and healthcare data to provide actionable insights that member organizations can operationalize, VHHA data tools, and the public health implications from the findings of a recent VHHA analysis showing that hospital emergency department visits among self-pay/uninsured patients are rising across Virginia. Send questions, comments, feedback, or guest suggestions to pcfpodcast@vhha.com or contact us on X (Twitter) or Instagram using the #PatientsComeFirst hashtag.

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.

Mark McGready is the Director of Data Analytics and Solutions for IDEA.

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

Message us!Imagine this: Your company's biggest customer is asking to triple their order size tomorrow. Are you happy, or are you terrified? Does your business have the infrastructure in place to scale at a moment's notice? In a new episode of Whitley Penn Talks, Whitley Penn Managing Directors Jake Baine (Digital Services) and Brandt Schaars (Deal Advisory) discuss five key indicators of business readiness:  Reliable dataOperational scalabilityDocumented processesStrategic leadership alignmentWillingness to invest in growth before it's requiredFrom digital transformation and ERP (enterprise resource planning) implementation to operational readiness, business strategy, and transaction readiness, this conversation explores how companies can use data, technology, processes, and financial insights to achieve their growth goals.  The discussion is inspired by our recent "What's Your Goal?" insight, which explores how to determine if your company's systems, reporting, people, and processes can support future growth opportunities. Fill out this form to have new episodes sent right to your inbox! Follow Whitley Penn on LinkedIn, Instagram, Facebook, and X for more industry insights and thought leadership!

A push for the rules to be tightened around meth contamination in New Zealand homes. In 2018, the level of meth contamination allowed in a house was raised to 15 per 100-centimetres-squared – an increase of 30 times. Unitec research, published in today's New Zealand Medical Journal, has found since the change, average meth contamination has increased by more than 50%. Author Muhammad Irfan told Ryan Bridge that other developed countries such as Australia, the US, and the UK have very low thresholds in comparison. He says the worry is this high of a threshold, can drastically impact children's health, which may be pushing healthcare costs up. LISTEN ABOVE See omnystudio.com/listener for privacy information.

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.

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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!

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

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 

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.