Podcasts about data intelligence

This week's episode comes to you live from Las Vegas, where we link up with Jane McCallion at HPE Discover and also ITPro's news editor, Ross Kelly, at Pure Accelerate.Jane talks us through all the major announcements at HPE, with a heavy focus on how its Juniper Networks acquisition is impacting its new products and services. She also gives her thoughts on CEO Antonio Neri and the company's approach to agents.Across the Las Vegas Strip at Resorts World, Ross gives us his insight into Everpure, the impact of rising hardware costs on its business, and how organizations can get their data AI-ready.HPE Discover 2026 Live: Day 2 keynotesHPE unveils a raft of new networking products for AI workloads at Discover 2026HPE Discover 2026 Live: Day 1 keynotesEverpure wants you to get your data AI-readyEverpure continues data management pivot with new Data Intelligence platform launchEverpure's data management pivot puts it on a ‘collision course' with industry big hittersWhat will the big announcements be at HPE Discover 2026?

Joining us this week are April Vasquez and Lauren Tolley, two of Moser's Data Intelligence interns. In today's conversation, we'll talk about career goals, technical growth, workplace culture, the realities of entering today's workforce, and the fears and uncertainty many students face while preparing for life after graduation. As technology continues to evolve through AI, analytics, automation, and data visualization, students entering this field are navigating a career landscape that's exciting, competitive, and constantly changing. We'll hear directly from them about what motivates them, what concerns them, and what they hope to gain from this experience.We'll also get to know April and Lauren outside of work, hear what excites them most about the summer ahead, and ask what they THINK they'll say at the end of this internship experience. 

Clarence Ford spoke to Marna Roos, Senior Client Consultant and Geospatial Scientist at AfriGIS for more flood risk data. Views and News with Clarence Ford is the mid-morning show on CapeTalk. This 3-hour long programme shares and reflects a broad array of perspectives. It is inspirational, passionate and positive. Host Clarence Ford’s gentle curiosity and dapper demeanour leave listeners feeling motivated and empowered. Known for his love of jazz and golf, Clarrie covers a range of themes including relationships, heritage and philosophy. Popular segments include Barbs’ Wire at 9:30am (Mon-Thurs) and The Naked Scientist at 9:30 on Fridays. Thank you for listening to a podcast from Views & News with Clarence Ford Listen live on Primedia+ weekdays between 09:00 and 12:00 (SA Time) to Views and News with Clarence Ford broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/erjiQj2 or find all the catch-up podcasts here https://buff.ly/BdpaXRn Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

#361 | In this episode, Matt Carnevale, Head of Community at Exit Five talks with three marketers doing impactful work in AEO. AI search is changing how buyers find products, and most B2B teams are still figuring out where to start. In this session, each marketer shares what's working and wins they've experienced — from earned media and technical audits to homepage fixes and tracking AI visibility. Whether you call it AEO, GEO, LLMO, or EIEIO – this one's for you. This session features guests Matt Dzugan, VP of Data Intelligence at Muckrack, Brett Bernath, Director of Product at Webflow, and Jess Joyce, Founder of Inbound Scope – an SEO and AI Search consultancy.Timestamps(00:00) - - - Why 80% of CMOs say AEO is a top priority — and most don't know where to start (02:48) - - - How Muckrack used original research to get cited in ChatGPT before their product launch (02:50) - - - Why top-of-funnel content is getting eaten by AI — and where to focus instead (02:53) - - - Quick win #3: authority — how to show up in Reddit and third-party platforms (02:56) - - - The sleeper tip: Bing Webmaster Tools is already giving you first-party AI data (03:07) - - - How to handle competitor comparison content without verifiable claims falling flat (03:23) - - - The four-bucket AEO maturity model: content, technical, authority, measurement (03:24) - - - Why your homepage is your worst-performing page for AI discoverability (03:27) - - - Quick win #1: technical hygiene — schema, meta descriptions, and structured data (03:28) - - - How to identify which journalists get cited most by AI in your niche (03:29) - - - Quick win #2: are you actually answering what your customers are asking? (03:34) - - - Why 1 in 3 B2B SaaS sites have technical blockers killing AI discoverability (03:36) - - - Why original research is the single best content type for earning AI citations Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Learn how to deploy agents on your marketing team at Agents in the Mix. Learn more at optimizely.com/exitfive. Vector - A contact-level ads platform that lets you build audiences from actual people on your site, clicking your ads, and checking out your competitors. Learn more at vector.co, and get their new MCP server by clicking here. Customer.io - An AI powered customer engagement platform that help marketers turn first-party data into engaging customer experiences across email, SMS, and push. Learn more at customer.io/exitfive.Join us in Stowe, Vermont for Drive 2026 - three days away from your desk to learn what's working in B2B marketing from the people who are actually doing it. Grab your ticket at exitfive.com/drive.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Breaking Analysis with Dave Vellante and George Gilbert

Show Notes: Scarlett Jiang from Vantage AI, an AI product and services firm based in London,  provides a one-minute overview of Vantage AI, highlighting their focus on data foundations and AI transformation. Vantage AI helps companies consolidate data from various systems into a single source of truth. Scarlett mentions the firm's experience with hospitality franchise clients, such as Burger King, KFC, and McDonald's. Mock Demo of Chatbot Scarlett introduces a mock demo of a chatbot designed for hospitality franchise owners. The chatbot can handle real-time queries about sales data, labor costs, and other key metrics. Scarlett explains the process of using the chatbot to query data, including translating natural language questions into SQL, which means users do not need to know SQL.  Custom Dashboard Scarlett introduces the custom dashboard with data intelligence analyst chatbot functionality, allowing users to query via human natural language and retrieve insights from pre-ingested data warehouses.  Sales Performance The chatbot can provide summaries of sales performance, labor data, and other operational metrics. Sales Performance Rank Scarlett shows how the chatbot can handle more complex queries, e.g.: If I had to focus on 3 stores to improve performance this quarter, which would you recommend and why? (chatbot showcase the capability to synthesize sales, reviews, and trend data into  recommended action) Performance Graph The chatbot can provide detailed insights into top and bottom performers, including specific metrics like net sales and transaction counts. Scarlett discusses the benefits of using a chatbot for specific questions, rather than pre-built dashboards. The chatbot can also provide reasoning behind its answers, showing the steps it takes to generate insights. The Process of Building AI Tools Scarlett explains the process of building AI tools, starting with a diagnostic phase to understand the client's data journey and use cases. After the diagnostic, a strategic roadmap is created to prioritize use cases. A quick prototype is then developed, followed by data foundation transformation. The process can range from a few days to several months, depending on the complexity and scope of the project. Accounts Payable Month-end Reconciliation Demo Scarlett demonstrates a workflow automation tool for account payable month-end reconciliation.  Accounts Payable Reconciliation This demo presents a finance use case built around month-end accounts payable reconciliation - a process every finance team navigates. Supplier invoice data sits across two systems: the AP subledger, which holds granular invoice-level detail, and the general ledger control account, which carries a single summary balance that should match. In practice, the two rarely align - late-posted invoices and manual journal entries that bypass the subledger are the most common culprits. This demo showcases an AI agent that pulls data from both sources, identifies and reconciles the gap automatically; and surfaces discrepancies to human reviewers for sign-off or overwrite - eliminating hours of manual investigation at close. Converting PDF Purchase Orders into CSV Files Scarlett demonstrates a tool that converts PDF purchase orders into CSV files. Snowflake Tables The tool extracts key information from the PDF, such as contract terms, payment schedules, and expenditures. The tool can transform the extracted data into a chart format for easier analysis.  Reconciliation Report Payment Breakdown The tool is designed to automate the process of working with large amounts of unstructured data, reducing manual effort.  Cost and Development Time  Scarlett discusses the cost and development time for AI tools, noting that prototypes can be developed quickly. The bulk of the work involves data cleaning, ingestion, and transformation to ensure data accuracy. The development time can range from a few days to several months, depending on the complexity and scope of the project. The cost varies based on the specific requirements and the level of automation needed. Demonstration Videos:  Pre-recorded Demo 1: Data Intelligence demo https://www.vantageglobal.ai/insights/demo-pages/data-intelligence-analyst Pre-recorded Demo 2: Accounts payable month-end reconciliation agent ​https://www.vantageglobal.ai/insights/demo-pages/ap-month-end-reconciliation-agent Pre-recorded Demo 3: Parsing unstructured data to structured data https://www.vantageglobal.ai/insights/demo-pages/purchase-order-explorer-agent Timestamps: 02:24: Demonstration of AI Chatbot for Hospitality Franchise Owners 07:14: Advanced Query Capabilities of the Chatbot 13:06: Process of Building AI Tools at Vantage AI 17:40: Case Study: Account Payable Month-End Reconciliation  28:03: Case Study: PDF to CSV Transformation 34:42: Cost and Development Time for AI Tools  This episode on Umbrex: https://umbrex.com/unleashed/episode-643-scarlett-jiang-coo-at-vantage-global-ai-shares-3-live-client-ai-use-cases/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

What happens when your financial advisor is no longer limited by time, availability, or even geography, but is always there when you need them, ready to listen, respond, and guide you in real time? At Citi's announcement at Google Cloud Next 2026, I sat down with Joe Bonanno, Head of Wealth Intelligence, and Karolina Belwal, Global Head of Data Intelligence and Automation for Citi Wealth, to unpack what could become a defining shift in how wealth management is delivered. The launch of Citi Sky, built in partnership with Google Cloud and powered by Google DeepMind, is not another digital feature layered onto an existing app. It signals a move toward an always-on, conversational, and highly personalized experience that blends human expertise with AI-driven intelligence. What stood out in our conversation was how grounded this initiative is in real-world client behavior. Joe explained how traditional engagement models, whether phone calls, emails, or app notifications, often feel disconnected from what clients actually need in the moment. Life events, changing market conditions, and personal priorities rarely align with scheduled interactions. Citi Sky attempts to close that gap by being present at the exact moment a client has a question, whether that is late at night, between meetings, or during a moment of financial uncertainty. Karolina brought that point to life with a simple but relatable example. As a working parent, she highlighted how difficult it can be to connect with an advisor during the day. Citi Sky allows clients to engage on their own terms, asking questions when it suits them, in a way that feels natural and responsive. That shift from scheduled interaction to on-demand conversation could change how people think about financial guidance altogether. Under the hood, the technology is just as ambitious. Built on Gemini models through Google's enterprise agent platform, Citi Sky combines real-time voice, video, and multilingual capabilities into a single experience. But what makes it interesting is how it moves beyond reacting to questions. The system can anticipate needs, surface insights, and even guide advisors by identifying which clients may require attention during market events. In Joe's words, it becomes a teammate, one that can scale expertise across hundreds of clients while maintaining a sense of personalization. There is also a broader implication here for the industry. Wealth management has long relied on relationships built over time, supported by human intuition and experience. Citi is not replacing that model, but it is extending it. Advisors are still central, yet their reach is amplified by AI that handles routine interactions, summarizes conversations, and provides context before the next client meeting even begins. Of course, this raises familiar questions around trust, governance, and the role of AI in financial decision-making. Citi is clearly aware of that tension, emphasizing secure data foundations, regulatory compliance, and the importance of embedding its Chief Investment Office's institutional knowledge directly into the system. This is not positioned as a generic AI assistant, but as a reflection of Citi's own expertise, delivered through a new interface. What I found most compelling, though, was how both Joe and Karolina kept returning to the human side of the story. Yes, this is about agentic AI and advanced models. Still, it is also about reducing friction, improving access, and helping people answer a simple but powerful question: Am I financially okay? As Citi Sky rolls out to Citigold clients in the U.S., it will be fascinating to see how customers respond and how competitors react. If this model gains traction, it could reshape expectations far beyond wealth management and into every corner of financial services. As we move into the next phase of AI-driven client engagement, are we ready to trust a system that listens, understands, and acts on our financial lives in real time, and how much of that responsibility are we willing to share? Useful Links Learn More About Citi Sky, the AI-Powered Member of the Citi Wealth Team. Connect with Joseph V. Bonanno Jr. Connect with Karolina Belwal Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

In this episode, Eloise Goulder, head of the Data Assets and Alpha Group, is joined by product specialist Edwina Lowe and Luca Rainero, head of Data Intelligence, to unpack how retail investors have influenced equity markets this year. They delve into how investors are staying active through volatility, navigating trends in the silver market and the relative outperformance in semiconductor versus software stocks. They also discuss how retail activity is shaping volumes, turnover and intraday trading patterns. Finally, they explore what social media activity can reveal about retail positioning and intent, and how AI tools are accelerating the retail investment cycle and potentially reshaping market structure.   This episode was recorded on April 13, 2026.   The podcast's views do not necessarily reflect those of J.P. Morgan Chase & Co or its affiliates (together “J.P. Morgan) and are not from J.P. Morgan's Research Department. They do not constitute recommendations or offers to buy or sell securities. Intended for institutional and professional investors, not retail use, it is for informational purposes only. Products and services mentioned may not suit all investors or be available in all jurisdictions. J.P. Morgan may make markets and trade in discussed securities and asset classes. Visit www.jpmorgan.com/disclosures/salesandtradingdisclaimer for more disclaimers and regulatory disclosures. External speakers' opinions are personal and not J.P. Morgan's views. © 2026 JPMorgan Chase & Company. All rights reserved.

In this episode, Stephen German, the Senior Vice President of Product at Actabl, shares his three-layer framework for putting AI to work in hotels: the data foundation, surfacing intelligence, and agentic AI.You'll learn why most hotel AI projects stall before they start, what needs to be true inside your tech stack before agents can deliver value, and why Stephen believes time in the AI market beats timing it.Learn more about Actabl, and its products: ProfitSword, Hotel Effectiveness, Alice, and Transcendent. A few more resources:If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestionsIf you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free.Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram.If you want to advertise on Hospitality Daily, here are the ways we can work together.If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve!Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Lyndsay Wise, data governance lead and chief data steward at Royal College of Physicians and Surgeons of Canada, joins hosts Andrew Miller and Meighan Berberich to discuss enabling data intelligence and observability - including the importance of visibility into the data ecosystem, automated metadata management, and impact on success with AI and advanced analytics. Please visit TDWI April Virtual Summit for more information on our upcoming event. ____________ More information: ·       TDWI Conference: https://bit.ly/3XqBhGH ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Sometimes you outgrow your home … and that can be the case with a legal tech conference.  This year's LegalWeek conference, hosted by ALM Media and Law.com, was held in New York City at its brand new location - the Jacob Javits Convention Center.  More than 6,000 of the biggest names in the industry gathered for the four-day conference from March 9th through March 12th. And yes ... Legal Speak was there conducting live interviews with the best and brightest. In this episode, hosts Patrick Smith and Cedra Mayfield sat down with Esther Birnbaum, the Executive Vice President of Data Intelligence at HaystackID.   This episode of Legal Speak is brought to you by Harvey.  Harvey … AI tailored for Law.   Hosts: Cedra Mayfield & Patrick Smith Guest: Esther Birnbaum Producer: Charles Garnar  

In this episode of the Real Estate Pros podcast, host Michelle Kesil interviews Francisco Mago, owner of Reifax.com, a real estate information system that helps investors identify potential deals. Francisco discusses the unique features of RiaFacts, including its focus on providing actionable insights rather than just raw data, and how it serves a variety of clients, particularly wholesalers and real estate investors. He also addresses the challenges posed by emerging technologies and the integration of AI in real estate transactions. The conversation highlights the importance of education and mentorship in leveraging technology for real estate success, as well as the subscription model that RiaFacts employs to engage clients effectively.   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   —--------------------

Moiz Kohari, VP of Enterprise AI and Data Intelligence at DDN, breaks down what it actually takes to get AI into production and keep it there. If your org is stuck in pilot mode, this conversation will help you spot the real blockers, from trust and hallucinations to data architecture and GPU bottlenecks.Key takeaways• GenAI success in the enterprise is less about the demo and more about trust, accuracy, and knowing when the system should say “I don't know.”• “Operationalizing” usually fails at the handoff, when humans stay permanently in the loop and the business never captures the full benefit.• Data architecture is the multiplier. If your data is siloed, slow, or hard to access safely, your AI roadmap stalls, no matter how good your models are.• GPU spend is only worth it if your pipelines can feed the GPUs fast enough. A lot of teams are IO bound, so utilization stays low and budgets get burned.• The real win is better decisions, faster. Moving from end of day batch thinking to intraday intelligence can change risk, margin, and response time in major ways.Timestamped highlights00:35 What DDN does, and why data velocity matters when GPUs are the pricey line item02:12 AI vs GenAI in the enterprise, and why “taking the human out” is where value shows up08:43 Hallucinations, trust, and why “always answering” creates real production risk12:00 What teams do with the speed gains, and why faster delivery shifts you toward harder problems12:58 From hours to minutes, how GPU acceleration changes intraday risk and decision making in finance20:16 Data architecture choices, POSIX vs object storage, and why your IO layer can make or break AI readinessA line worth stealing“Speed is great, but trust is the frontier. If your system can't admit what it doesn't know, production is where the project stops.”Pro tips you can apply this week• Pick one workflow where the output can be checked quickly, then design the path from pilot to production up front, including who approves what and how exceptions get handled.• Audit your bottleneck before you buy more compute. If your GPUs are waiting on data, fix storage, networking, and pipeline throughput first.• Build “confidence behavior” into the system. Decide when it should answer, when it should cite, and when it should escalate to a human.Call to actionIf you got value from this one, follow the show and turn on notifications so you do not miss the next episode.

When students own their goals, they don't just grow, they thrive. Join Molly and guest Dr. Cherisse Campbell, Executive Director of Strategy and Data Intelligence at a large school district in metro Atlanta, as they talk about how to bring the The 4 Disciplines of Execution® goal-achieving process into the classroom in a way that feels light, empowering, and doable.

What you'll get from the podcast:Gain insights into the latest ecommerce trends and how they affect business strategies.Understand the impact of AI on product discovery and customer engagement.Learn about the strategic shifts in customer loyalty programs.Discover the role of data intelligence in driving business success.Explore the growing influence of social commerce platforms like TikTok.It has been another busy year in ecommerce, the year when AI became mainstream and sped into town on a wave of hype. Our State of Industry podcast offers a strategic review of the ecommerce landscape during the past year, focusing on key trends and developments. The episode delves into the impact of tariffs on cross-border trade and the genuinely transformative effect AI is having on the industry, highlighting how these factors have shaped business strategies and market dynamics. We discuss the challenges and opportunities presented by AI, particularly in product discovery, and the significant increase in AI-driven traffic to retail websites. We also explore the evolving nature of customer loyalty programs, emphasising the shift from traditional points-based systems to more strategic, value-driven approaches that foster deeper customer relationships.The podcast further examines the role of data intelligence in enhancing business decision-making, with a focus on the growing sophistication of data analysis tools and the importance of integrating AI capabilities. Social commerce is also covered, noting the rise of platforms like TikTok as key players in the ecommerce space, rivaling established giants like Meta.Key chapters:[00:00:30] Introduction and Overview[00:03:30] Impact of Tariffs and AI[00:10:00] Customer Loyalty Evolution[00:16:00] Data Intelligence in E-commerce[00:22:00] Rise of Social Commerce

In this Voices episode, the speakers explored LDI—a new organization and framework designed to showcase how data skills and approaches transcend traditional boundaries. They also discussed how leveraging data strategies can unlock value across diverse use cases, driving innovation and adaptability in the legal tech landscape Moderator: Monique Sever, Litigation Support & eDiscovery Supervisor, Harper Grey LLP Speakers: Kelly Friedman, Partner, Heuristica Discovery  Paul Park, Director, Data Breach, Cyber and Data eDiscovery Solutions, BDO

Join Phil Westcott, Founder & CEO of Filament, in conversation with Gary Fowler, as they explore the evolution from consultancy to product-driven innovation and how GenAI is reshaping finance. Discover how Filament is pioneering AI-powered market data engines for Private Equity — and what it takes to find product-market fit in one of the world's most data-intensive industries.Insights You'll Learn:✅ Phil's journey from IBM executive to GenAI founder✅ How Filament evolved from consultancy to product business✅ Finding product-market fit in enterprise AI✅ Verticalizing AI for the finance and investment sector✅ Lessons from accelerating GenAI adoption in B2B markets✅ The future of AI-driven data platforms in Private EquityWhy This Matters:The finance industry is undergoing a data revolution — powered by AI.Filament is at the forefront of this transformation, helping firms unlock insight, automation, and speed in their investment decisions.Phil's story offers a blueprint for founders transitioning from corporate innovation to scalable AI entrepreneurship.Expert Background:• Founder & CEO of Filament Syfter – AI-powered market data engines for Private Equity• Former IBM Watson executive leading European partnerships• Chartered Engineer with an MBA from IESE and Columbia Business School• 20+ years of experience in applied technology and data innovationPerfect For:Founders, investors, data scientists, fintech innovators, and AI enthusiasts exploring how intelligent systems are redefining finance.Timely Topic:As GenAI moves from experimentation to enterprise adoption, leaders like Phil are showing how to turn AI into actionable intelligence — and build businesses that scale with trust, precision, and data-driven insight.

This week I had the pleasure of speaking with Greg Gartland, Chief Executive Officer of 3E. We discuss 3E's business offerings, how it defines its place in the very competitive world of chemical information management, the role artificial intelligence has in this space, and trends Greg sees driving growth in chemicals, product stewardship, and sustainability. ALL MATERIALS IN THIS PODCAST ARE PROVIDED SOLELY FOR INFORMATIONAL  AND ENTERTAINMENT PURPOSES. THE MATERIALS ARE NOT INTENDED TO CONSTITUTE LEGAL ADVICE OR THE PROVISION OF LEGAL SERVICES. ALL LEGAL QUESTIONS SHOULD BE ANSWERED DIRECTLY BY A LICENSED ATTORNEY PRACTICING IN THE APPLICABLE AREA OF LAW. ©2025 Bergeson & Campbell, P.C.  All Rights Reserved

In this episode of Careers and the Business of Law - Legal Data Intelligence seriese, David Cowen sits down with Odette Claridge (ProSearch), Tara Lawler (Morgan Lewis), and Virginia Ring (Kilpatrick Townsend) to unpack how Legal Data Intelligence (LDI) is transforming mergers, acquisitions, and divestitures. They share how data governance, AI, and collaboration are reshaping due diligence and deal execution and why frameworks like LDI's toolkit are now must-haves for modern legal teams. Key Topics Covered: How LDI's corporate working group built the first data-driven toolkit for M&A and divestitures. Why today's M&A landscape is defined by the 3 Vs of data, volume, variety, and velocity. Practical steps for maintaining data integrity and audit trails across multiple corporate entities. The new reality: collaboration between legal, IT, privacy, and compliance is non-negotiable. How crowdsourcing best practices across firms accelerates learning and innovation. What the Architect Program offers for professionals eager to shape the next wave of legal data frameworks. A look ahead: AI governance and ethical frameworks as the next frontier for legal data professionals.

Welcome to a special launch series of the Pure Report podcast! Join us as we take a deep dive into Pure Storage's Intelligent Control Plane (ICP), a set of groundbreaking innovations redefining IT operations and enabling users to realize the Enterprise Data Cloud. We're thrilled to host Chadd Kenney, VP of Product Management, who helps us unpack how the ICP tackles data silos, operational complexity, and productivity bottlenecks, transforming hundreds of systems into what feels like one virtual cloud of data with Pure Fusion. Discover how Fusion Presets streamline policy-driven deployments, how intelligence extends to modern apps with Portworx native integration, and the exciting possibilities of AI-Copilot and Data Intelligence. In this episode, Chadd will share insights on how these innovations continue Pure Storage's core hallmark of simplicity in operations, delivering Evergreen architecture at a fleet-wide level. We'll explore how the ICP empowers operators with real-time awareness and workflow orchestration, as demonstrated at Accelerate in Las Vegas and New York, enabling full-stack, application-level outcomes. Plus, Chadd offers his "hot takes" on industry trends, common misconceptions about infrastructure automation, and the evolving role of the IT operator in the next five years. Tune in to understand how the Intelligent Control Plane and Pure Fusion are setting a new standard for data management.

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

"I think the biggest trap to potentially fall into is, "Hey, it's moving so fast, so much is changing. Let's just wait it out." Completely the wrong approach. You just gotta get started." Nick Eayrs from Databricks "As tech people within the shipping industry, how do we explain, how do we make it accessible to all our users? So that's where we came up with the idea of a data supermarket, with in mind really the target of enabling self-service for our business. So by giving the analogy of a supermarket, it was much easier at the beginning to explain our business." - Simon Fassot from Hafnia Fresh out of the studio, Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks, and Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia, join us to explore how data intelligence is transforming enterprise AI across diverse industries in Asia. Nick explained the fundamental distinction between general intelligence and data intelligence - emphasizing how enterprises gain competitive advantage by training AI on their proprietary data rather than public knowledge. Nick showcased customer success stories including Standard Chartered Bank and TechComBank and shared his perspectives on how senior executives can take advantage of AI by moving fast rather than wait and see. Last but not least, Nick offered what great would look like for Databricks in Asia Pacific and Japan in serving their customers. Adding the lens of the customer, Simon shared Hafnia's transformation from legacy SQL Server systems to a unified Databricks architecture serving their global shipping operations and elaborated on how the company is breaking down silos with their data supermarket and "Marvis" AI copilot for maritime operations based on retrieval augmented generation. This is Part 1 from Databricks Data + AI Event Singapore.  Episode Highlights: [00:00] QOTD by Nick Eayrs and Simon Fassot [00:49] Introduction: Nick Eayrs from Databricks [03:32] Customer obsession means deeply understanding their business context [05:22] Data intelligence versus artificial general intelligence explanation begins [06:42] AI trained on your data creates competitive advantage [08:17] Only 15% of companies have correct AI infrastructure ready [11:17] Don't wait for AI perfection, just get started now [12:30] Agent Bricks simplify AI development using natural language [13:49] Standard Chartered Bank cybersecurity use case with SIEM [16:22] TechCom Bank in Vietnam customer brain with 12,000 customer attributes [18:32] Shared responsibility model for ethical AI deployment [25:24] Asia Pacific psychology focuses on future, not past [26:28] Most important question: How do you get started? [30:18] What does great look like for Databricks? [33:16] Introduction: Simon Fassot from Hafnia [35:18] How Hafnia transformed to full cloud architecture centralizes data through Databricks [36:28] Self-service access needed for 300 onshore, 4000 vessel employees [37:00] Three user types: operations, business intelligence, domain experts and Use Cases for Hafnia [41:32] Unity catalog controls data quality for AI cases [42:21] Two-phase Gen AI: ingest unstructured, then consume data [44:25] How to implement Generative AI: One bad AI answer loses all user trust [45:31] How reports in Hafnia use RAG embedded in workflows [46:47] Data supermarket analogy simplifies self-service for business [48:39] Marvis AI personalizes Gen AI within company context [49:46] Neo4j partnership adds graph capabilities to ecosystem [53:33] DNA Port platform unifies scattered dashboards and applications [54:22] Databricks enables focus on business value over operations Profiles: Nick Eayrs, Vice President of Field Engineering, Asia Pacific & Japan at Databricks LinkedIn: https://www.linkedin.com/in/nick-eayrs/ Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia LinkedIn: https://www.linkedin.com/in/simon-fassot-68b95135/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

SEO Marketing Successful Strategies for Q4 2025: Tracking, Sorting, and Mapping Data Intelligence with Favour Obasi-Ike | Get exclusive SEO newsletters in your inbox.This episode explains a three-step TSM marketing approach—Track, Sort, and Map—designed to create successful marketing strategies, particularly for Q4 2025. The tracking phase emphasizes the importance of a website for gaining organic and paid impressions, highlighting metrics like organic, paid, and earned traffic. Next, the sorting phase focuses on organizing business analytics by purchasing power, location, and pre/post-purchase intent to better understand customer needs.Finally, the mapping phase involves strategically distributing content across various platforms, using tools like pixels and analytics, to ensure the right audience finds the right products or services. The speaker also offers free SEO services and calls to help businesses implement these strategies.FAQs about this SEO Marketing Successful Strategies for Q4 2025: Tracking, Sorting, and Mapping Data Intelligence episode:1. What is the core three-step marketing strategy discussed for Q4 2025?The core strategy for marketing success in Q4 2025, and beyond, is the "TSM approach," which stands for Track, Sort, and Map. This methodology emphasizes understanding how your business is set up, collecting and organizing data, and then strategically guiding your audience from initial interest to conversion.2. Why is "tracking" considered the most important step in this strategy?Tracking is paramount because it provides the foundational metrics needed to understand your marketing efforts. Just like a runner on a track needs clear lines, businesses need to track metrics like impressions, leads, clicks, and website visitors. This involves monitoring organic, paid, and earned traffic. Without a website, which serves as the primary hub for collecting this data (including domain, hosting, and email communication), effective tracking is impossible. The speaker stresses, "When you track, you're able to attract," highlighting that data-driven insights allow you to effectively attract your target audience.3. How does the concept of "attention as a new currency" relate to successful marketing strategies?Favour introduces "attention as a new currency" and "retention as a new balance," emphasizing that in today's crowded digital landscape, consistently capturing and maintaining audience attention is crucial. This is achieved through consistent, valuable content across various platforms like blogs, podcasts, and social media. By tracking engagement and understanding what resonates with your niche audience, you can create a search-based campaign that puts your content at the top of search results, making you "first seen" and "first remembered," which directly translates to gaining valuable attention.4. What are the key considerations for "sorting" marketing data effectively?Sorting involves organizing your traffic and business analytics in a way that provides deeper insights into your audience. Key sorting parameters include purchasing power, location, pre-purchase intent, and post-purchase intent. By understanding where your audience is coming from, what they need, and why they need it, you can tailor your offerings more effectively. An example given is adapting workshop formats (morning/evening, virtual/in-person) and content (lead generation, AI visibility) based on audience feedback, rather than offering generic courses. Email marketing and audience segmentation are highlighted as crucial tools for this in-depth sorting.5. How does the speaker recommend optimizing paid advertising, specifically Google Ads, in conjunction with organic efforts?Favour suggests a cautious approach to Google Ads, advising against running them if you're not already showing up organically on Google search. Organic presence leads to a lower cost per acquisition, result, and click. While Google Ads can be effective with manual structures, exact and phrase matching, and granular control, the ultimate goal should be to shift towards a higher percentage of organic traffic (e.g., 62% organic vs. 38% paid). This is because organic traffic "earns" results and builds long-term authority, saving money over time compared to continuously paying for traffic. Platforms like Pinterest are also highlighted for their detailed targeting capabilities at a potentially lower cost per click compared to Google Ads, especially when leveraging tracked audience interests.6. What role does a website play in the overall TSM marketing strategy?A website is presented as the absolute foundational element. Without a website, none of the tracking, sorting, or mapping can effectively occur. It's the hub for organic impressions, a platform for content creation (blogs, podcasts), and a critical tool for understanding where your audience comes from (e.g., new vs. returning visitors). The website allows for the installation of tracking pixels (Facebook, LinkedIn, Pinterest, TikTok) and integration with tools like Google Analytics and Google Search Console, which are essential for gathering the data necessary for the TSM approach.7. What is the purpose of "mapping" in the TSM strategy, and how is it achieved?Mapping is about guiding your audience to the right destination based on their needs and your sorted data. It's about building a clear connection from point A (customer need) to point B (your solution/product). This involves understanding what people are searching for and ensuring your content and offerings directly address those searches. Mapping is achieved by strategically distributing content across various platforms (Google search, AI search results, social media, podcast distribution channels like RSS feeds) and ensuring your website has the necessary tags and pixels to track conversions. The goal is to be found when and where your target audience is looking, ensuring they take the desired action, much like finding the correct aisle in a grocery store.8. How can businesses leverage their intellectual property (IP) and improve their domain authority for long-term marketing success?Businesses should view their content and offerings as intellectual property (IP) and constantly assess its return. Consistent content production (blogs, podcasts) that remains relevant over time contributes significantly to sustained engagement, even without constant new releases. Improving domain authority is a long-term play, likened to building credit, with an average of about seven points per year if actively managed. Higher domain authority, especially with the integration of AI for top search and citation perspectives, leads to greater organic visibility and trust. 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On this episode of #LatinosOutLoud, Rachel La Loca was invited back to City Hall, and this time to chat it up with the Deputy Mayor of Strategic Initiatives, Ana Almanzar--or as she's known to her staff, and now Rachel, "DM Ana". In this interview, we learn about the Deputy Mayor's day-to-day responsibilities and the initiatives she oversees. Reporting to her in this role are the commissioners and executive directors of the Center for Innovation through Data Intelligence, City University of the City of New York, New York City Department of Youth and Community Development, Mayor's Office of Child Care and Early Childhood Education, Mayor's Office of Equity, Mayor's Office of Food Policy, Mayor's Office of Nonprofits, and the Mayor's Fund and City Affiliated Nonprofits. Ana grew up in the Dominican Republic and moved to Bushwick, Brooklyn when she was 17 seeking not just the American dream, but the New York City dream. She is the FIRST Dominican Deputy Mayor for the City of NY. This episode is filled with inspiration, laughs and of course, a LIGHTNING ROUND with the Deputy Mayor. #LatinosOutLoud #RachelLaLoca #Comedy #DeputyMayor #NYC #AnaAlmanzar #podcast #Latinos #Dominican #Stories #Government #NY Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this episode of #LatinosOutLoud, Rachel La Loca was invited back to City Hall, and this time to chat it up with the Deputy Mayor of Strategic Initiatives, Ana Almanzar--or as she's known to her staff, and now Rachel, "DM Ana". In this interview, we learn about the Deputy Mayor's day-to-day responsibilities and the initiatives she oversees. Reporting to her in this role are the commissioners and executive directors of the Center for Innovation through Data Intelligence, City University of the City of New York, New York City Department of Youth and Community Development, Mayor's Office of Child Care and Early Childhood Education, Mayor's Office of Equity, Mayor's Office of Food Policy, Mayor's Office of Nonprofits, and the Mayor's Fund and City Affiliated Nonprofits. Ana grew up in the Dominican Republic and moved to Bushwick, Brooklyn when she was 17 seeking not just the American dream, but the New York City dream. She is the FIRST Dominican Deputy Mayor for the City of NY. This episode is filled with inspiration, laughs and of course, a LIGHTNING ROUND with the Deputy Mayor. #LatinosOutLoud #RachelLaLoca #Comedy #DeputyMayor #NYC #AnaAlmanzar #podcast #Latinos #Dominican #Stories #Government #NY

We speak with Rajeeshwaran Moorthy of Space Marketplace at the World Police Summit 2025, held at the Dubai World Trade Centre 13-15 May. Raj is a strategy and technology leader specializing in space economy commercialization, future foresight, and digital transformation. His work focuses on bridging investment, policy, and technology to help organizations navigate complex challenges, develop strategic roadmaps, and capitalize on emerging opportunities—whether in corporate strategy, AI capabilities, or the evolving space economy. Raj spoke tt WPS on Data Intelligence, AI & Surveillance in Narcotics Control which explores the complex and often overlooked issue of drug muling where individuals—sometimes coerced or deceived—find themselves transitioning from victims to accused criminals.Space MarketPlace is a platform dedicated to the space industry, connecting a global community of space professionals, enthusiasts, and businesses. The marketplace offers a wide array of services and applications, ranging from satellite imagery and data analytics to space tourism and satellite launch services.MySecurity Media were media partners to the WPS 2025. #Worldpolicesummit #wps2025 #mysecuritytv

What will it truly take to build and scale the technologies that can reverse climate change? The scale and urgency of the transformation required to fight climate change has never been more clear. Building hardware and software products, acquiring the funding and creating a diverse community to enhance talent capacity and to drive innovation, is essential to tackling this global environmental crisis. In this episode, Silicon Valley Bank SVP of Climate Tech & Sustainability Maggie Wong will be interviewing Orpheus Ocean CEO & Co-Founder Jake Russell to discuss our ocean's importance for global carbon removal, scaling lab technologies to commercialization and how diverse founder and team experience attributes to a company's growth. 

Where does my data go? What data was sent across the API? How do we separate the signal from the noise? Pedro Castillo of Onum and I sit down to talk about what might be the subsequent transformation of data processing since Akamai came on the scene. Onum's mission is to address the challenges in data management and cybersecurity. Enjoy our raw conversation, which just got captured; we agreed to share it immediately.

My guest today is Jay Hoag. Jay is the co-founder of Technology Crossover Ventures, known as TCV, which pioneered the growth investing category and has backed legendary companies like Netflix, Spotify, and Expedia over three decades. Jay explains how macro factors like regulation have become unexpectedly central to technology investing. He offers his contrarian take on today's market, arguing that consumer internet represents significant opportunity while most investors chase SaaS and AI deals. We discuss investing in new technology versus commercialization, TCV's evolution from cold-calling to AI-powered sourcing of 11 million companies, and their three-person unanimous investment committee structure. Please enjoy my conversation with Jay Hoag.  For the full show notes, transcript, and links to mentioned content, check out the episode page⁠ ⁠⁠⁠⁠here.⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠ to learn more about the platform. –  This episode is brought to you by⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:18) Market Conditions and Investment Opportunities (00:06:57) Consumer Internet Businesses and AI (00:09:04) Technology Commercialization Challenges (00:11:30) Public vs. Private Market Dynamics (00:15:32) Growth Investing and Competitive Dynamics (00:22:34) History and Resilience of TCV (00:26:32) Understanding the Firm's Investment Lifecycle (00:27:06) Evolution of Sourcing Strategies (00:28:33) The Role of Data Intelligence in Sourcing (00:29:41) Internal Investment Process at TCV (00:34:31) Challenges and Strategies in Long-term Investments (00:41:15) Reflections on the Investment World (00:43:48) Personal Insights and Final Thoughts

Dr. Lisa Mathew interviews Vetri Venthan Elango and Dr. Renu Dhanasekaran MD PhD, the founders of Arithmedics, a company that uses generative AI and data intelligence to reduce administrative time and costs for providers. Arithmedics uses generative AI and data intelligence to reduce billing mistakes and claim denials. Its software generates and explains codes to streamline the billing process and uses data from completed claims to reduce future denials. Join Dr. Mathew, Dr. Elango and Dr. Dhanasekaran as they discuss what physicians need to understand about implementing AI platforms for administrative tasks such as billing and coding. Produced by Andrew Sousa and Hayden Margolis for Steadfast Collaborative, LLC Mixed and mastered by Hayden Margolis Gastro Broadcast, Episode 76, presented by TissueCypher from Castle Biosciences

Richard Tomlinson, director of product marketing with Databricks, joins host Andrew Miller to discuss data intelligence for self-service analytics including the challenges with self-service analytics, data intelligence for BI, and the capabilities of Genie - Databricks' AI powered assistant. Please visit Business Intelligence Meets AI: Self-Service Analytics that Finally Work to download and explore the eBook. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P  

WPP has acquired InfoSum, the world's leading data collaboration platform, in a major step forward for its AI-driven data capabilities. InfoSum will join GroupM, WPP's media investment group, to create a new generation of privacy-first, AI-enhanced marketing solutions powered by the industry's most secure and scalable data infrastructure.This acquisition allows WPP clients to unlock the full potential of their first-party data while connecting securely with data providers and media partners. By integrating InfoSum's patented cross-cloud technology into WPP Open, clients can build, train, and deploy custom AI models faster than ever—delivering smarter insights, better audience targeting, and measurable campaign improvements across the entire marketing ecosystem.With access to InfoSum's extensive global data network—including signals from leading media platforms, retailers, and identity partners—WPP is redefining marketing intelligence and helping clients move beyond outdated identity-based solutions.This is “Intelligence Beyond Identity,” where privacy, performance, and innovation come together to shape the future of marketing.Learn more about this exciting partnership and what it means for WPP, GroupM, and their clients with Brian Lesser, Evan Hanlon, and Lauren Wetzel.⁠https://www.groupm.com/newsroom/wpp-acquires-infosum-in-major-investment-in-its-ai-driven-data-offer/⁠

This one hits different. David Cowen sits down with legal operations leader Carl Morrison (Otsuka Pharmaceuticals) for a sharp, high-energy conversation on how legal teams are turning data into strategy, and why now is the moment to clean house, ditch the ROT (redundant, obsolete, trivial), and drive real value. Yes, we open with Lady Gaga, because transformation has a rhythm. But what follows is a masterclass in Legal Data Intelligence (LDI) and the future of legal operations. In this episode: Why your data is a goldmine, but only if you mine it right How AI is changing early case assessment and risk visibility What LDI really means, and why it's not just about cost control anymore How legal ops teams are becoming strategic drivers, not just back-office fixers Carl also shares what it means to move from dirty data to strategic sun, and how to build a cleaner, smarter, faster-functioning legal department in the age of AI and collaboration. Whether you're in legal ops, litigation, InfoGov, or leading a law department, this is your blueprint for going from now to next!

On this episode of the Best Ever CRE Show, Joe Cornwell interviews Carter Malloy, CEO of Acres.com, a comprehensive land intelligence platform that helps investors find, analyze, and purchase land more efficiently. Carter explains how their platform consolidates multiple data sources to provide instant information on any parcel in the United States, including ownership details, comparable sales, mortgage data, topography, flood zones, and more. He discusses how investors can use the platform to quickly filter through thousands of parcels based on specific criteria like zoning, infrastructure access, and minimum size requirements, then conduct deeper analysis on the most promising options. Carter shares insights on land valuation discrepancies, emphasizing how adjacent parcels can vary by 20-50% in price due to factors like topography and access, creating significant opportunities for informed buyers. Throughout the conversation, he highlights the importance of thorough due diligence when purchasing land, warning about hidden issues like seasonal flooding, environmental concerns from previous uses, and the critical role of understanding both macro market trends and micro parcel-specific details before making investment decisions. Sponsors: Vintage Capital Capital Gains Tax Solutions Learn more about your ad choices. Visit megaphone.fm/adchoices

In this podcast panel discussion, the speakers provided an introductory discussion on LDI and its impact on how data is reviewed, analyzed and used to identify relationship trends.   Moderator: @Ravan Roddy - eDiscovery Manager, Zoetis   Panelists: @Chris Acosta - Director, eDiscovery Resources, Morrison Foerster @Carl Morrison -  Senior Manager, Legal Operations, Otsuka Pharmaceutical Companies (U.S.) Recorded 3-14-2025

Legal data isn't just for eDiscovery anymore—it's a strategic weapon. AI-driven analytics are transforming legal teams into business intelligence powerhouses, helping HR, compliance, and cybersecurity teams solve problems faster than ever before. In this episode, Benjamin Sexton (JND) shares: How AI is shifting legal work—are we saving time or just creating more high-value tasks?  Why legal teams are becoming the “calculators” of business intelligence How Walgreens and other companies use eDiscovery tools to solve compliance challenges in hours, not weeks  If you're in eDiscovery, legal ops, or compliance, this episode will change how you think about legal data—and your career. 

Paul Magnone discusses the book "Decisions Over Decimals" and how uniting data intelligence with human judgment can lead to better innovation, action and transformation. Paul is Head of Global Strategic Alliances at Google and Co-Faculty Director and Adjunct Professor at Columbia Business School. Listen for three action items you can use today. Host, Kevin Craine Want to be a guest? DigitalTransformationPodcast.net/guest Want to be a sponsor? DigitalTransformationPodcast.net/sponsor

The biggest AI breakthroughs won't come from Ph.D. labs — they'll come from people solving real-world problems. So how do AI founders actually turn cutting-edge research into real products and scale them? In this week's episode of Founded & Funded, Madrona Partner Jon Turow sat down with Jonathan Frankle, Chief AI Scientist at Databricks to talk about the shift from AI hype to real adoption — and what founders need to know. They dive into:  1) How AI adoption has shifted from hype to real-world production  2) The #1 mistake AI startups make when trying to sell to enterprises  3) Why your AI system shouldn't care if it's RAG, fine-tuned, or RLHF — it just needs to work  4) The unexpected secret to getting your first customers 5) The AI opportunity that most startups are overlooking  Transcript: https://www.madrona.com/databricks-ia40-ai-data-jonathan-frankle Chapters: (00:00) Introduction  (01:02) The Vision Behind MosaicML (04:11) Expanding the Mission at Databricks (05:52) The Concept of Data Intelligence (07:42) Navigating the AI Hype Cycle (15:10) Lessons from Early Wins at MosaicML  (20:50) Building a Strong AI Team (23:36) The Future of AI and Its Challenges  (24:06) Evolving Roles in AI at Databricks (25:55) Bridging Research and Product (28:29) High School Track at NeurIPS (30:39) AI Techniques and Customer Needs (38:22) Rapid Fire Questions and Lessons Learned (42:49) Exciting Trends in AI and Robotics (45:40) AI Policy and Governance

Legal work isn't just about managing data—it's about unlocking intelligence. AI, eDiscovery, and Legal Data Intelligence (LDI) are transforming how firms analyze, predict, and strategize. Are you keeping up? In this episode, Robert Keeling (Partner, Redgrave LLP) joins David Cowen to unpack how AI, legal data intelligence, and next-gen eDiscovery are transforming the legal industry.

In this episode, we speak with Satyen Sangani, the Co-Founder and CEO of Alation, an enterprise software company, whose data catalog serves enterprises in organizing and consolidating their data. Nearly 600 global enterprises — including 40% of the Fortune 100 — rely on Alation to realize value from every data and AI initiative. Alation is backed by Thoma Bravo, Riverwood Capital, Salesforce Ventures and other notable investors. Since 2012, Satyen and his team have been passionate about helping enterprises create thriving data cultures where anyone can find, understand, and trust data. Prior to founding Alation, Satyen spent a decade at Oracle where he managed the financial services warehousing and performance management business. I am your host RJ Lumba. We hope you enjoy the show. If you like the episode click to follow.

Episode Description: In this episode, David Cowen speaks with Bobby Malhotra, Partner at Winston & Strawn and a founding member of Legal Data Intelligence (LDI). Together, they explore how AI, eDiscovery, and data governance are reshaping the legal industry. Bobby also highlights the power of mentorship, the evolution of legal data intelligence, and the lessons he's learned from his own career journey. If you're navigating the future of law, this conversation is a must-listen. What's Inside? eDiscovery's Next Chapter: Bobby dives into how the field has evolved from email production to a sophisticated practice that influences case outcomes and strategies. The Role of AI in Legal Data: Discover how conversational AI is eliminating friction, accelerating time to insights, and revolutionizing how legal teams manage data. Legal Data Intelligence (LDI): Learn about the founding and mission of LDI, a professional network designed to tackle the most complex data challenges across disputes, transactions, and compliance. Mentorship and Leadership: Bobby shares how mentorship transformed his career and why building relationships with mentors and mentees is critical to success in the legal profession. Going Above and Beyond: Bobby recommends Unreasonable Hospitality by Will Guidara as a blueprint for creating extraordinary client experiences. Key Mentions: Books: Unreasonable Hospitality by Will Guidara Influencers: Kathleen McDowell, John Rosenthal, and Scott Cohen Organizations: Legal Data Intelligence (LDI), and  Winston & Strawn Takeaways Leverage AI Tools: Start using conversational AI like ChatGPT to interrogate your data and uncover insights faster. Mentorship Matters: Find mentors who align with your goals and reciprocate by sharing your own expertise. Join Professional Networks: Get involved with groups like LDI to connect with industry leaders and stay ahead of emerging trends.

In this episode, David Cowen dives into the transformative role of Legal Data Intelligence (LDI) with industry leaders Julia Hasenzahl, Jeremiah Weasenforth, and Ashley Christakis. They discuss how meta-skills like strategic thinking and adaptability are reshaping legal operations and explore how experiential knowledge is driving predictive insights across the legal ecosystem. Key Topics: Meta-Skills Matter: Why adaptability, curiosity, and problem-spotting are essential for thriving in LDI. Expanding Roles: How LDI professionals are integrating e-discovery, governance, privacy, and risk management. Building Talent: The importance of fostering a culture of radical thinking to attract top talent in a competitive market. Better vs. Different: The dual need to improve current processes while rethinking how legal data is used to create predictive strategies. Meet the Guests: Julia Hasenzahl : Co-founder and CEO of ProSearch, a leader in applying data intelligence to legal operations and e-discovery. Jeremiah Weasenforth: Legal Analytics Director at Edward Jones, pioneering data-driven approaches to legal strategy. Ashley Christakis: Senior Manager eDiscovery and Legal Operations at CrowdStrike, innovating the intersection of e-discovery and operational excellence. Subscribe and Share: Catch every episode of Careers in the Business of Law on Apple Podcasts, Spotify, or wherever you listen. Take your career from now to next. Never eat alone.

In this episode, we explore building an AI-first company and engineering org with Rong Yan (CTO @ HeyGen)! We dive into the potential of HeyGen's interactive avatars, imagining how they can help engineering leaders scale their impact, foster team alignment, coach effectively, and accelerate decision-making. Rong shares insights on the structure of an AI-first company and optimizing for AI teams with engineering capabilities. Plus what it means to “lead with speed” and balance product quality and velocity in an AI-first company and key leadership principles, like why it's crucial to invest in your top performers and how to act as a productivity multiplier.ABOUT RONG YANRong Yan is HeyGen's Chief Technology Officer. He brings the company's technological mission of making visual storytelling accessible to everyone, to life. Rong has nearly 20 years of engineering leadership experience from companies including IBM, Facebook, Square, Snap, and HubSpot.Most recently, Rong was the VP of Engineering at Hubspot where he led the Data Intelligence and Automation product line and spearheaded the development of an intelligent CRM platform using data and AI. He was also the Director of Engineering turned Senior Director of Engineering at Snap, where he led a product engineering team of over 250 engineers across six locations, responsible for developing, optimizing, and maintaining core Snapchat features, including Camera, Messaging, Stories, Discover, Memories, and Identity.He holds a Bachelor of Science in Computer Science from Tsinghua University and a PhD in Computer Science from Carnegie Mellon University.SHOW NOTES:Introducing HeyGen's interactive avatar & what this means for eng leaders (3:40)How a visual layer for AI agents could scale your leadership & build alignment in your teams and orgs (5:58)The different levels of communication flow within a company (8:17)How interactive avatars can enable interactions and coaching at scale (10:46)The possibilities of interactive avatars for personalized coaching, habit building, and behavior change (14:02)Insights on building an AI-first company (20:29)What the structure of an AI-first company looks like (22:05)How leading with speed works within an AI-first company (24:10)Navigating the balance between product velocity & quality (27:23)The impact of the “leading with speed” paradigm on hiring (30:34)The role of an engineering leaders is to be a productivity multiplier (32:40)How AI impacts productivity as an eng leader (34:43)Where to start when it comes to improving productivity (36:38)AI's role in blurring the lines between IC & management (39:48)Spend more time on your top people (42:45)Rapid fire questions (44:21)LINKS AND RESOURCESHeyGen - With HeyGen, businesses can simply write their script and generate their video. No camera, no budget, no headaches. We've helped over 45,000 companies and millions of people create, localize, and personalize videos at scale.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

When tech architecture is decades out of date, manufacturers end up with a tech stack that costs a lot and delivers little. All this can change with smart AI solutions. Mike Bowers is Chief Architect at FairCom where he helps companies reduce costs in their manufacturing processes by finding the right technological solutions to solve their biggest problems.

This Week in Startups is brought to you by… OpenPhone. Create business phone numbers for you and your team that work through an app on your smartphone or desktop. TWiST listeners can get an extra 20% off any plan for your first 6 months at https://www.openphone.com/twist⁠ LinkedIn Jobs. A business is only as strong as its people, and every hire matters. Go to https://www.linkedin.com/twist to post your first job for free. Terms and conditions apply Beehiiv. Power your newsletters with AI tools, referral programs, and ad network features—all in one platform. Get 30 days free and 20% off your first 3 months at ⁠https://www.beehiiv.com/twist * Timestamps: (0:00) Databricks' Naveen Rao joins Alex Wilhelm (8:54) Regulatory challenges and open-source AI (10:02) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist (13:57) Meta's Llama models and reinforcement learning (19:46) LinkedIn Ads -  Get a $100 LinkedIn ad credit at http://www.linkedin.com/thisweekinstartups (20:55) Open vs. closed source AI models and advances (28:09) Precision in AI and enterprise applications (30:20) Beehiiv - Get 30 days free and 20% off your first 3 months at https://www.beehiiv.com/twist (52:08) Tech incumbents' evolution and AI competition (54:55) AI model sizes and synthetic data quality (57:29) AI inspiration from biology and future innovation (1:03:06) Databricks' growth trajectory and potential IPO (1:04:25) Elliot Easterling of bonbon joins TWIST for a Jam with JCal. (1:05:16) Bonbon.tech and the rewards platform overview (1:14:44) Gamification strategies and user engagement (1:22:18) Exploring growth opportunities and market expansion * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Check out Databricks: https://www.databricks.com/ Check out Bonbon: https://bonbon.tech Link to Newsom vetoes SB 1047 article: https://www.bbc.com/news/articles/cj9jwyr3kgeo The short guide to understanding data intelligence from Databricks: https://www.databricks.com/blog/short-guide-understanding-data-intelligence Mosaic AI Agent Framework post: https://www.databricks.com/blog/announcing-mosaic-ai-agent-framework-and-agent-evaluation Data Intelligence Platform product tour: https://www.databricks.com/resources/demos/tours/horizontal/introducing-databricks-intelligence-platform?itm_data=demo_center Mosaic AI new features and demo: https://www.youtube.com/watch?v=acIBdCOj88E Unity Catalog GitHub: https://github.com/unitycatalog/unitycatalog “Thinking Fast and Slow” by Daniel Kahneman summary on Medium - https://www.penguinrandomhouse.ca/books/89308/thinking-fast-and-slow-by-daniel-kahneman/9780385676533 * Follow Naveen: X: https://x.com/naveengrao LinkedIn: https://www.linkedin.com/in/naveen-rao-bba5b01/ * Follow Elliot: X: https://x.com/e_easterling LinkedIn: https://www.linkedin.com/in/elliotteasterling * Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (10:02) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist (19:46) LinkedIn Ads -  Get a $100 LinkedIn ad credit at http://www.linkedin.com/thisweekinstartups (30:20) Beehiiv - Get 30 days free and 20% off your first 3 months at ⁠https://www.beehiiv.com/twist * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

Download Gary's 13 Keys to Creating a Multi-Million Dollar Business from ⁠⁠⁠https://www.DitchDiggerCEO.com/⁠⁠⁠ Satyen Sangani, is the Co-Founder and CEO of Alation. Discover Satyen's journey from Wall Street to Silicon Valley, the creation of a groundbreaking data intelligence platform, and the future of AI and data across industries. Gain insights into economics and market dynamics and valuable advice on business building and finding the right co-founder. In this episode, Gary and Satyen discuss: 1- The Birth of Alation 2- Data in Small Businesses 3- Entrepreneurial Spirit and Family Influence 4- Securing Funding and Building the Team 5- Creating a New Market Category LinkedIn: https://www.linkedin.com/in/ssangani/ Twitter: https://x.com/satyx Website: https://www.alation.com/ Podcast: https://www.youtube.com/playlist?list=PLdy6uaxXRLfVp8qUKKKxnCfJMEtA3z0P2 YouTube: https://www.youtube.com/c/Alation/videos Connect with Gary Rabine and DDCEO on: Website: ⁠⁠⁠https://www.DitchDiggerCEO.com/⁠⁠⁠ Instagram: ⁠⁠⁠https://www.instagram.com/DitchDiggerCEO⁠⁠⁠ TikTok: ⁠⁠⁠https://www.tiktok.com/@ditchdiggerceopodcast⁠⁠⁠ Facebook: ⁠⁠⁠https://www.facebook.com/DitchDiggerCEO⁠⁠⁠ Twitter: ⁠⁠⁠https://twitter.com/DitchDiggerCEO ⁠⁠⁠ YouTube: ⁠⁠⁠https://www.youtube.com/@ditchdiggerceo