Podcasts about Data governance

In this conversation, the speakers discuss the intersection of data strategy and AI strategy, emphasizing the importance of collaboration between different roles within the organization. They outline their 12-month plans for AI implementation, focusing on governance, risk management, and the challenges of data governance. The discussion also touches on the ownership of AI production systems and the principles that guide decision-making in the face of conflict. The speakers highlight the need for a balance between innovation and risk management, as well as the importance of maintaining strong partnerships within the organization. Show Notes: 00:00 Introduction to Data and AI Strategy 08:52 12-Month Plan for AI Implementation 17:45 Balancing Innovation and Risk Management 24:50 Data Governance and Security Challenges 27:21 Managing Shadow AI and Encouraging Innovation 28:46 Vision and Innovation: The Importance of Rechecking Paths 30:34 Navigating Customer Relationships and Risk Management 31:40 Understanding NPU Technology and Its Implications 34:09 Balancing AI Workloads: Cloud vs. Local Processing 35:31 Contractual Considerations in AI Partnerships 38:48 Ownership of AI Production Systems: A Collaborative Approach 43:29 Establishing Governance and Support Structures for AI 46:04 Defining Tiebreaker Principles in AI Decision-Making 50:07 Operationalizing Governance and Risk Management 51:55 Commitments to Innovation and Collaboration

"Daten sind nicht nur ein Thema. Das war der Ausgangspunkt unserer Datenkultur. Heute sprechen wir jeden Tag über Daten, von der Basis bis zum Management. Das ist natürlich ein extrem großer kultureller Wandel."

With an ever-changing business climate, companies have begun to shift their focus to unstructured data. In the past, unstructured data was challenging to deal with, considering the volume, governance and compliance, so organisations mainly focused on structured datasets. However, with the rise of generative AI and large language models (LLMs), Reece Williams Griffiths, Field CTO of Collibra, says that we can no longer overlook 80 percent of enterprise content—from transcripts and PDFs to emails and images.In this episode of the Don't Panic It's Just Data podcast, host John Santaferraro, CEO and Head Research Analyst at Ferraro Consulting, talks with Griffiths, also Co-Founder and CEO of Deasy Labs (acquired by Collibra). They also talk about the change brought to Collibra after acquiring Deasy Labs. Governing Structured & Unstructured DataFollowing Collibra's acquisition of Griffiths firm, Deasy Labs, he explains how this merger is making AI truly achievable for businesses. Deasy became renowned for its goal of simplifying data preparation. With Collibra, it's leading the development of the tools necessary to create order from the chaos and build a unified AI enterprise.Together, they created the first unified governance and catalogue platform for both structured and unstructured data. This single-hub approach is vital for a future where AI agents treat all data types equally.Griffiths tells Santaferraro that, historically, Collibra, like others, focused only on structured data. Now, by combining Deasy's capabilities, the platform provides a single entry point and a smooth experience for all data assets.One outcome of a unified data strategy is simplified AI use cases. Since AI applications often need to access both tabular data (structured) and documents (unstructured) to give complete answers, unification offers the necessary routing and flexibility, the Field CTO explains.Preparing Unstructured Data for AITo effectively use a huge quantity of unstructured content, it must be prepared. Griffiths describes a four-layer data preparation funnel that goes beyond simple classification to deep semantic embedding, ultimately creating a Knowledge Product.The talk of the moment is the knowledge data product, which the Collibra speaker says is familiar in the structured data scenario; however, not so much on the unstructured data. “We define a knowledge product with four elements – sensitivity, unstructured data quality, metadata for humans, and metadata for AI...

Episode Title: Data That Delivers: Governance & Authentic AI ContentHost: Donna Peterson, Owner & President of World InnovatorsGuest: David Clemen, Editor & Publisher of Global Market NewsEpisode Summary-In this episode, host Donna Peterson sits down with David Clemen, Editor and Publisher of Global Market News, to unpack what truly drives database performance in 2025 and why the era of “bigger is better” lists is over.Together they explore how data governance, clear naming conventions, and regular list cleaning lead to more engagement, better ROI, and fewer headaches. From removing “dead wood” contacts to documenting how lead sources are named, David explains the real-world steps that keep data reliable, even as titles and roles change faster than ever.The conversation also dives deep into AI's role in modern publishing and marketing: how it can amplify productivity but never replace human insight. Donna and David discuss the fine line between efficiency and authenticity, warning that unverified, AI-generated content can damage brand credibility.Finally, they reflect on leadership, honesty, and trust- both within teams and with readers. From setting clear standards to saying “no” to misfit advertisers, this episode is packed with practical lessons on maintaining integrity in an era of automation and noise.Key Takeaways You Can Implement Right Away-Establish data governance early. Create clear naming conventions and rules for list maintenance, updates, and deletions.Purge or “hibernate” dead contacts. An oversized list with low engagement hurts deliverability and performance.Refresh your data regularly. Titles and roles evolve rapidly- outdated data equals missed opportunities.Focus on engagement, not vanity metrics. A smaller, active audience delivers higher open rates and ROI.Partner with credible publishers. Industry publishers like Global Market News maintain vetted, engaged, and compliant databases.Use AI responsibly. Treat AI as a junior assistant- great for ideas and speed, but always review for accuracy and tone.Lead with integrity. Transparency and honesty with your team and audience build long-term trust and brand strength.Episode Chapters-00:00 Why clean, governed data outperforms big lists05:00 The 23 spellings of one lead source- how naming chaos kills insights10:30 Cutting “dead wood” and setting re-engagement rules15:00 Why frequent updates are critical in a fast-changing job market19:30 The AI advantage: faster workflows without losing your voice25:30 Maintaining credibility: saying no to misfit advertisers28:30 Leadership & trust: no white lies, clear feedback, real teamworkBio- David Clemen is the Editor and Publisher of Global Market News, where he leads editorial strategy, audience growth, and media partnerships for one of the fastest-scaling investor news platforms in the U.S. A 20-year digital media veteran, he has built and monetized audiences in finance, technology, and B2B media, growing subscriber bases into the millions and generating eight-figure revenue through content, sponsorships, and lead-gen programs. David's work sits at the intersection of media, trust, and monetization, and his leadership reflects a deep understanding of how brands earn credibility in an AI-saturated world. Email: dclemen@globalmarketnews.comCall to Action-Stop chasing database size- start building relationships that convert. If you're ready to strengthen your data governance, refine your email lists, or apply AI responsibly in your marketing, contact us below. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Wie nutzt eine Airline Daten, um jeden Tag tausende Flüge zu steuern, Verspätungen zu vermeiden und den Betrieb effizienter zu machen? Darüber spricht Jonas Rashedi in dieser Folge von MY DATA IS BETTER THAN YOURS mit Jens Wiesner, Head of Data, Analytics and IT-Architecture bei Lufthansa Airlines. Jens erklärt, warum Realtime-Daten der Schlüssel zu operativer Exzellenz sind – und wie sein Team dafür sorgt, dass die richtigen Informationen genau dann verfügbar sind, wenn sie gebraucht werden. Ein Highlight: Der Einsatz von KI-Kameras auf dem Vorfeld, die in Echtzeit erkennen, ob ein Catering-Truck andockt, das Gepäck ausgeladen wird oder ein Flugzeug bereit zum Abflug ist. Das Gespräch zeigt, wie Lufthansa Airlines Datenarchitektur, IT-Governance und Business-Needs in Einklang bringt – und warum Technologie immer nur so stark ist wie die Kultur dahinter. Zum Schluss gibt Jens noch einen Einblick, wie Gen AI-Use Cases entstehen, wie Mitarbeitende darauf vorbereitet werden und was andere Branchen davon lernen können. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Jens: https://www.linkedin.com/in/jens-wiesner-4494b3186/ Zur Webseite von Lufthansa Airlines: https://www.linkedin.com/company/lufthansa/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi Zeitstempel: 00:00 Intro und Begrüßung 00:01:03 Vorstellung Jens 00:02:30 Team und Aufgaben 00:04:00 Realtime-Use Cases 00:06:50 Echtzeit-Entscheidungen 00:09:00 Architektur und Resilienz 00:11:30 Priorisierung von use Cases 00:13:53 Use-Case-Findung und Workshops 00:18:30 Zentral vs. dezentral 00:21:00 AI Use Cases auf dem Vorfeld 00:24:00 Proaktive Steuerung durch Realtime 00:26:00 Business Value als Kriterium 00:29:49 Schulungen und Awareness 00:31:00 Learnings für andere Branchen 00:38:46 Private Datennutzung & Serienmoment

AI agents are already paying humans for their data and 3.5 million people are earning from it.In AI Supercycle episode 5, we sit down with Jordan Gray, co-founder of Public AI, to discuss how the AI economy creates new income streams for humans and why your data is more valuable than you think.We discuss:- Why Your Data Is More Valuable Than You Think- How 3.5M Users Are Already Earning From AI- The Coming Era of AI Agents Requesting Human Data- MCP: The Protocol Letting Agents Talk to Each Other- Why Decentralized Data Markets Will Win- Where AI Agents Will Source Their Training DataTimestamps00:00 Intro00:52 AI Supercycle or Bubble? (Where We Really Are)02:49 The Future of Work & Labor Markets in the AI Era04:59 How Public AI Pays Users for Their Data08:14 Privacy in the AI Era (Can It Actually Exist?)11:25 Data Labeling & Pipeline Infrastructure (The Hidden Economy)16:51 Hibachi Ad, 17:00 Relay Ad, Talus Ad17:33 Human-in-the-Loop Explained (Why AI Still Needs You)19:42 Data Governance & Token Ownership (Who Really Owns Your Data?)23:02 Why Public AI Chose NEAR Protocol (The Technical Decision)27:13 Alvara Ad, Enso Ad27:37 AI Economy & Machine Payments (How Agents Will Transact)31:44 MCP: Model Context Protocol Explained (The AI Communication Standard)35:15 Agents Prompting Humans, Not Vice Versa (The Role Reversal)37:06 AI Agent Coins & VTuber Experiments (Where Culture Meets Tech)38:58 Bullish on Data, Bearish on Commodities (Investment Thesis)Website: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://therollup.co/the-rollup-discl

In dieser Folge spricht Carsten mit Anna Hannemann vom Online-Lebensmittel-Lieferdienst Picnic.

Learn all about how an author uses data to solve the world's problems, one ANCHOR at a time.Meet Aakriti, a self-described "data superhero" whose journey started in Actuarial Science (believing insurance would save the world) and pivoted dramatically after stumbling into the world of data analytics! She proved that anybody can learn to code and leveraged her passion for problem-solving to become a full-stack developer and the founder of a non-profit organization helping young girls learn how to code.Aakriti is now working as a Data Governance professional and has unlocked a new achievement: "Author". She recently published her book, 'Data Governance Change Management', which is based on a change management model she created, called ANCHOR, that can be applied to any program. It's a very practical and actionable book, intended to be used as a workshop book with the goal for professionals to take it and run with it.

Welcome to a special author's episode of The Data Chief, where we delve into the minds of three influential authors who are shaping the conversation around data and AI. First, Geoff Woods, author of The AI-Driven Leader, shares his philosophy of prioritizing strategy over technology to make faster, smarter decisions. Next, Wendy Batchelder, author of The Data Governance Handbook, discusses how to transform governance from a rigid bureaucracy into a business accelerator by focusing on business outcomes. Finally, Malcolm Hawker, author of The Data Hero Playbook, challenges data leaders to adopt a heroic mindset by becoming customer-driven and aligning their incentives with business success. Join us to learn how to lead effectively in the AI era by building a strategy-driven, governed, and customer-centric data function.The Data Chief Podcast: Author Episode Key MomentsGeoff Woods: The AI-Driven LeaderFrom "IT Problem" to Strategic Partner (06:20): Woods advocates for viewing AI as a "strategic thought partner" rather than an assistant or replacement, and emphasizes that AI strategy must align with business strategy.The CRIT Framework for Smarter Prompts (12:25): He introduces the CRIT framework for prompt engineering: Context, Role, Interview, Task. This method helps leaders get non-obvious, high-impact strategies from AI by having the AI ask the right questions.Beyond the Bottom Line: AI's Human Impact (22:17): Woods discusses the ROI of AI, including a case where AI identified savings equivalent to 2% of a company's revenue. Wendy Batchelder: The Data Governance HandbookData Governance as an Accelerator (32:33): Wendy Batchelder addresses the myth that data governance is a "dirty word" or a code for "no," arguing that its true purpose is to be an accelerator.Speaking the Language of Business (35:17): Batchelder emphasizes that data governance should be embedded from the start of a project, not as an afterthought. She provides an example of "bad" vs. "good" communication, urging data professionals to speak the language of the business.Measuring Value with Business Outcomes (40:00): She outlines how to measure the value of data governance by connecting it to business outcomes like increased revenue or improved customer service. Malcolm Hawker: The Data Hero PlaybookFrom Limiting Mindset to Growth Mindset (56:00): Hawker discusses why he wrote the book, calling the current moment a "do or die" opportunity for CDOs. He challenges the "limiting mindset" that leads to defeatism.Customer-Driven, Not Data-Driven (1:08:00): He urges data leaders to be "customer-driven, not data-driven," emphasizing the need for data teams to become more business literate.The Power of Product Management (1:14:00): Hawker advocates for bringing product management disciplines into data teams. This approach focuses on putting the customer at the center and ensures that data products are economically viable and tied to ROI.Key Quotes:"It is not technology first, strategy second. It is strategy first, technology second.” - Geoff Woods"The companies that are treating data as something that helps drive business outcomes are thinking about data at the beginning and set up at the end." - Wendy Batchelder“If you deliver value to your customers, if you are the lever of change and transformation in your organization, if you show value from data, you will get a seat at the table." - Malcolm HawkerMentionsThe AI-Driven Leader: Harnessing AI to Make Faster, SmarterHow AI is transforming strategy developmentData Governance Handbook: A practical approach to building trust in data5 key reasons why data analytics is important to businessThe Data Hero Playbook: Developing Your Data Leadership SuperpowersCDOs and CDAOs: Rethink your role or fade awayGuest Bios:About Geoff Woods Geoff Woods is the #1 bestselling author of The AI-Driven Leader, host of the AI-Driven Leader podcast, and Founder of AI Leadership and The AI-Driven Leadership Collective™, a highly vetted network of executives collaborating to harness AI to build better businesses and better lives. As the former Chief Growth Officer of Jindal Steel & Power, Geoff's strategic leadership helped the company grow its market cap from $750 million to over $12 billion in just four years. Prior to that, he co-founded the training and consulting company behind The ONE Thing, advising businesses ranging from $10 million to $60 billion in annual revenue.About Wendy Batchelder Wendy Batchelder is a three-time Chief Data Officer across financial services, technology & healthcare industries, with a wide understanding of how to take highly technical aspects of data management and translate them into simple, concise business valued solutions that are practical and simple to understand. Her background has led her to lead global data & analytics organizations at four Fortune 500 companies. She approaches situations with curiosity and humility, which has led to applying innovative data solutions to challenges with increased complexity to deliver value that companies can measure.A lifelong learner, Wendy graduated from Miami University with a B.S. in Accounting and Information Systems, from Drake University with a Masters of Accountancy, from University of Iowa with an Executive MBA, and pursues ongoing education through Harvard Business School. Her work history includes EY, KPMG, Aviva, Wells Fargo, VMware and Salesforce.About Malcolm HawkerMalcolm helps senior business leaders harness the power of data to transform their businesses. As a former Gartner analyst, he has consulted with some of the world's largest and best-known brands on their enterprise information management strategies and digital transformation initiatives.He is a frequent public speaker on data and analytics best practices with a passion for Master Data Management (MDM) and Data Governance. He welcomes the opportunity to share practical and actionable insights on how companies can become truly data-driven by implementing the cultural, technical, and organizational changes needed for success in the digital age. He is also the author of The Data Hero Playbook. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

How can AI transform the future of smart cities to create a more efficient, sustainable, and inclusive urban environment for citizens? Antibes, a city on the French Riviera, is leading the way in its AI-driven innovation to enhance public services and operational efficiency.  From automating budget alignment with sustainability goals to running on-premise AI for data privacy, Antibes is redefining digital transformation in the public sector. Tune in as experts explore how technology is driving ethical, citizen-focused innovation across government services.  Featured experts Patrick Duverger, CIO and CTO, City of AntibesMichael Bradshaw, SVP & Global Practice Leader, Applications, Data, and AI, Kyndryl

Adatépítész -az első magyar datapodcast Minden ami hír, érdekesség, esemény vagy tudásmorzsa az  adat, datascience, adatbányászat és hasonló kockaságok világából. Become a Patron! Az adásban tárgyalt kutatás: https://kpmg.com/hu/hu/home/tanulmanyok/2025/09/kpmg-data-governance-report-2025.html https://kpmg.com/hu/hu/home.html

In Episode 99, I do something a little different: I take you behind the scenes as I use ChatGPT in voice mode to design a real automation from start to finish. The goal? Build an internal chatbot for product and engineering that's trained on CX call transcripts stored in Gong, so teams can ask targeted questions (“What's frustrating customers in Module X?”) and get instant, concise answers with deep links back to the exact call moments.You'll hear how I frame the problem, push the model to avoid hallucinations, and pick a stack that balances speed, privacy, and scale: Gong → Airtable as the searchable store → a Zapier-hosted chatbot for querying. We also cover transcript hygiene (auto-removing small talk and personal details), vendor privacy considerations, and a simple habit hack: having AI remind you later to actually implement the ideas you generated while walking the dog.I'll link the step-by-step PDF I asked ChatGPT to generate in the show notes so you can follow along and adapt it to your environment.If this sparks ideas for your own digital CX programs, follow/subscribe and drop a review—it really helps more practitioners find the show.Support the show+++++++++++++++++Like/Subscribe/Review:If you are getting value from the show, please follow/subscribe so that you don't miss an episode and consider leaving us a review. Website:For more information about the show or to get in touch, visit DigitalCustomerSuccess.com. Buy Alex a Cup of Coffee:This show runs exclusively on caffeine - and lots of it. If you like what we're, consider supporting our habit by buying us a cup of coffee: https://bmc.link/dcspThank you for all of your support!The Digital Customer Success Podcast is hosted by Alex Turkovic

Nike's Principal Data Engineer Ashok Singamaneni joins Benjamin and Eldad to discuss his open-source data quality framework, Spark Expectations. Ashok explains how the tool, which was inspired by Databricks DLT Expectations, shifts data quality checks to before the data is written to a final table. This proactive approach uses row-level, aggregation-level, and query data quality checks to fail jobs, drop bad records, or alert teams - ultimately saving huge costs on recompute and engineering effort in mission-critical data pipelines.

Healthcare cybersecurity stands at an inflection point. Traditional compliance frameworks are proving inadequate in the face of sophisticated threats targeting patient data, clinical operations, and connected medical devices. Robert Eikel, CISO at P-n-T Data Corp., brings unique expertise from government service, financial services, and pediatric healthcare to discuss how leading organizations are evolving beyond checklist security. We'll explore the new frontlines of healthcare cyber defense—identity, integrity, and interoperability—while examining how emerging technologies like AI and quantum computing are reshaping the threat landscape.Moving from periodic compliance to continuous confidence through identity-centric, integrity-focused defense strategiesProtecting clinical workflows and patient safety while maintaining secure interoperability across healthcare ecosystemsPreparing cybersecurity programs for AI-powered threats, quantum risks, and next-generation healthcare technologiesTransforming cybersecurity governance from IT overhead to strategic business enablerRobert Eikel, Chief Information Security Officer, P-n-T Data Corp.Megan Antonelli, Founder & CEO, HealthIMPACT Live

"Die Flexibilität, die wir heute durch Agentic AI haben, ist fundamental anders als in der Vergangenheit. Wir können jetzt ein ganz anderes Verständnis für Daten aus verschiedenen Quellen schaffen."

All links and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by David Spark, the producer of CISO Series, and Dan Walsh, CISO, Datavant. Joining them is their sponsored guest, Ash Hunt, vp, strategy, EMEA, Cyera. In this episode: The access creep challenge Bridging intent and execution Looking for integrity Racing against exponential complexity Huge thanks to our sponsor, Cyera     AI is moving fast - can your security keep up? Join the leaders shaping the future of data and AI security at DataSecAI Conference 2025, hosted by Cyera, Nov 12–13 in Dallas. Register now at https://www.cyera.com/?utm_source=cisoseries        

The podcast, "Data Flops to AI Wins: Sandwich Secrets from Walmart's Data Bridge," features guest Amit Shivpuja,  Director of Data Governance and Strategy, Walmart discussing his journey in data and AI, including his "sandwich framework" for understanding data, tools, processes, people, and security. The host is Vandana Sharma, Senior Director AI - Powered Solutions & Impact, InfoBeans.  

What happens when cities become “networked”—and water systems start telling us what they need in real time? In this episode, Trace Blackmore speaks with Christine McHugh (CEO, White Strand Development) about practical smart-city strategies for water: real-time monitoring, digital twins, and IoT/AI approaches that turn Legionella control from periodic testing into continuous risk management. Christine frames smart water not as gadgets, but as a disciplined, data-driven process that improves human health, operational efficiency, and insurability. Building the “Networked” City: A Practical Definition   Christine defines a smart city as a networked one—linking health, energy, waste, and water through technology that measures and correlates across systems. The aim isn't novelty; it's safer drinking water and safer water environments via better data and faster decisions. Digital twins, decentralized treatment, and AI-enabled pattern recognition help teams move from “single point-in-time readings” to persistent trends they can act on. Legionella Risk, Reframed as Strategy   Most water programs still sample periodically, waiting days for results. Christine argues the future is pattern-based, proactive control: track temperature, stagnation/flow, and disinfectant continuously; intervene when pattern thresholds indicate elevated risk. This lens aligns water quality, human wellness, and insurance risk reduction, encouraging property insurers and building owners to incentivize water science as part of smart-building operations.  From Sensors to Sense-Making: Hierarchy, Data Lakes, and Reporting  Adding devices isn't enough. Christine stresses a hierarchy of sensors and data governance so operations, engineering, and ESG teams aren't running conflicting reports from siloed sources (BMS vs. cloud dashboards). Her model: create a data lake with agreed-upon sources of truth and standardized outputs so every stakeholder “sees the same movie.”  Case Studies & What “Good” Looks Like  Christine highlights programs that combined water management plans, continuous disinfectant monitoring, and campus-scale digital twins—reducing manual tests, achieving compliance, and cutting consumption. European hospitals using IoT on hot-water systems report faster compliance and fewer manual interventions. The pattern: real-time insight + trained people + maintenance and reporting contracts = measurable risk reduction.  Cybersecurity: Close the Back Doors  Smart water raises legitimate cyber concerns. Christine's guidance: encrypt all sensor communications, hire experts to penetration-test your own systems, and watch for unexpected bridges (e.g., HVAC or even “non-critical” devices) into critical networks. OT/IT segmentation, alert transparency, and a culture of continuous testing matter as much as the sensors themselves.  Public–Private Partnerships (with Academia)  The fastest path to adoption pairs public oversight and access to infrastructure with private-sector technology and capital—and an academic partner for research and validation. Clear performance metrics and maintained as-builts keep pilots honest and scalable.  Resilience: Droughts, Floods, and Stormwater  Smart networks matter beyond Legionella. Real-time consumption, leak detection, and pressure management minimize waste during droughts; stormwater and wastewater sensors prevent overflows that contaminate receiving waters during floods. Long-running sensor programs abroad show how a single resort area eliminated contamination events by instrumenting the system and responding to alerts.  Emerging Tech to Watch  From self-healing pipes and biosensors to drone inspections and AI-orchestrated networks, Christine sees water systems becoming more like natural ecosystems—self-regulating, adaptive, and resilient—while humans supervise exceptions and validate performance.  For industrial water professionals, the takeaway is clear: treat smart water as an integrated risk-management system, not a pile of devices. Invest in sensor hierarchy, unified data, and team training, and align the work with safety and insurance outcomes. That's how you protect people, performance, and the balance sheet. Stay engaged, keep learning, and continue scaling up your knowledge!    Timestamps  02:37 - Trace Blackmore kicks off the episode by reminiscing about the TV show Leave It to Beaver and how families used to watch together in the 1950s.  08:40 - Water You Know with James McDonald  09:48 - Upcoming Events for Water Treatment Professionals   12:20 - Interview with Christine McHugh, CEO of White Strand Development  13:03 -  What Is a Smart City?   15:13 - Risk Reduction as Strategy   16:23 – Real-Time Monitoring: Core Controls  17:06 - Smart Fixtures & “Only When Needed” Flushing  19:28 — Duplication, BMS vs Cloud, Data Governance  25:03 — Case Studies: VT & Copenhagen University Hospital  31:59— Cybersecurity: Water Systems at Risk  40:21— City Resilience: Drought & Flooding  41:59 — Emerging Tech to Watch    Quotes  “Technology will give us real-time patterns, and… by just having that pattern recognition, we have power to be more proactive.”   “We really should be trying to break into our own system or hiring people to break into our own system… the bad guys will find it as well.”   “Creating a water system that's more like a natural ecosystem… self-regulating, adaptive, and maximizes both efficiency and resiliency.”    Connect with Christine McHugh Phone: 9179409383  Email: christine.mchugh@whitestrand.com  Website: White Strand Development  LinkedIn: https://www.linkedin.com/in/christine-a-mchugh/     Guest Resources Mentioned   Practitioners' Perspective on the Prevalent Water Quality Management Practices for Legionella Control in Large Buildings in the United States  Tenets of a holistic approach to drinking water-associated pathogen research, management, and communication   Smart Cities, Copenhagen and the Power of Data   Chlorine Disinfection of Legionella spp., L. pneumophila, and Acanthamoeba under Warm Water Premise Plumbing Conditions  NLM's Water heater temperature set point and water use patterns influence Legionella pneumophila and associated microorganisms at the tap    Scaling UP! H2O Resources Mentioned  AWT (Association of Water Technologies)  Scaling UP! H2O Academy video courses  Submit a Show Idea  The Rising Tide Mastermind  Industrial Water Week     Water You Know with James McDonald  Question: What type of resin is primarily used in a sodium zeolite water softener?    2025 Events for Water Professionals  Check out our Scaling UP! H2O Events Calendar where we've listed every event Water Treaters should be aware of by clicking HERE.   

In this episode of In AI We Trust?, cohosts Miriam Vogel and Nuala O'Connor speak with Daniel Dobrygowski, Head of Governance and Trust at the World Economic Forum (WEF), and Karla Yee Amezaga, Initiatives Lead for AI and Data Governance with WEF's Centre for AI Excellence about the importance of building trust in technology, strengthening AI and digital literacy, and modernizing boards to be fit for purpose for the modern era. They discuss EqualAI's and WEF's  new playbooks, including WEF's Playbook on Advancing Responsible AI Innovation and EqualAI's new AI Governance Playbook. Find the WEF Playbook here and EqualAI's AI Governance Playbook here.

Wie lang ist deine Datenstrategie? Wenn sie nicht auf eine Folie passt, dann ist sie zu groß und du verschwendest Zeit! Warum das so ist und wie wir von der Strategie ins Tun kommen, darüber spricht Christian Krug, der Host des Podcasts „Unf*ck Your Data“ mit Claudia Pohlink, Chief Data Officer bei FIEGE. So viele reden über Datenstrategie und KI Strategie und was da alles rein muss. Also sich lange mit sich selbst beschäftigen und rausfinden wo die Reise hingeht. Was wollen wir machen, wie wollen wir das erreichen.Aber was kommt oft zu kurz? Genau das dann umzusetzen!Und das ist viel wichtiger als große Werke zu erschaffen, die nichts bewirken.Denn laut Claudia ist alles was nicht auf eine Folie passt zu viel für eine Datenstrategie.Nach Christians Einwurf gesteht sie dann aber doch eine zweite Folie mit den Don'ts zu.Am Ende bleibt es aber dabei: Umsetzung schlägt Planung.Und damit diese Umsetzung gelingt braucht es ein Daten und KI Team, das schnell echten Mehrwert schafft. Auch wenn keiner mehr „Quick Wins“ hören kann, diese sind notwendig damit du weiterhin den Rückhalt hast an deinen Projekten zu arbeiten. Und auch genau diese Transparenz zu schaffen: Wann ist was fertig? Was können wir vom Datenteam erwarten? Ist einer dieser Quick Wins.Aber wie sieht so ein Datenteam eigentlich idealerweise aus? Bei FIEGE hat Claudia dieses Team in zwei große Bereiche eingeteilt: Foundations und Solutions.Während sich Foundations um die Grundlage wie Datenplattform, Mitarbeitenden-Enablement und Schulung, Data Governance (aka Data Management) und Self Service kümmert, geht in Solutions um die Entwicklung von Datenprodukten, für die kundennahen Abteilungen oder direkt für die Kunden.Wie das dann aussieht und warum es für das eine Templates gibt und das andere Maßarbeit ist, das hörst du in dieser Folge.▬▬▬▬▬▬ Profile: ▬▬▬▬Zum LinkedIn-Profil von Claudia: https://www.linkedin.com/in/claudia-pohlink/Zum LinkedIn-Profil von Christian: https://www.linkedin.com/in/christian-krug/Christians Wonderlink: https://wonderl.ink/@christiankrugUnf*ck Your Data auf Linkedin: https://www.linkedin.com/company/unfck-your-data▬▬▬▬▬▬ Buchempfehlung: ▬▬▬▬Buchempfehlung von Claudia: Wenn die letzte Frau den Raum verlässt - Vincent-Immanuel HerrAlle Empfehlungen in Melenas Bücherladen: https://gunzenhausen.buchhandlung.de/unfuckyourdata▬▬▬▬▬▬ Hier findest Du Unf*ck Your Data: ▬▬▬▬Zum Podcast auf Spotify: https://open.spotify.com/show/6Ow7ySMbgnir27etMYkpxT?si=dc0fd2b3c6454bfaZum Podcast auf iTunes: https://podcasts.apple.com/de/podcast/unf-ck-your-data/id1673832019Zum Podcast auf Deezer: https://deezer.page.link/FnT5kRSjf2k54iib6Zum Podcast auf Youtube: https://www.youtube.com/@unfckyourdata▬▬▬▬▬▬ Merch: ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬https://unfckyourdata-shop.de/▬▬▬▬▬▬ Kontakt: ▬▬▬▬E-Mail:

«We need source criticism more then ever now.»In the season finale of MetaDAMA, we dive deep into the intersection of philosophy, history, and artificial intelligence with guest Sune Selsbæk-Reitz, tech philosopher with a background in both history and philosophy.Sune introduces the provocative concept of “Promptism”, which is our era's version of positivism, where we believe that truth can be extracted from language models simply by phrasing the question correctly. But just as historians have learned through centuries of source criticism, we must ask the critical questions: Who trained this model? On what data? With what biases?Here are Winfrieds key takeaways:Are numbers and data points neutral? Or can they be used to convey a message, or even a certain philosophical view point?Philosophy is important in data. Here is an example: Data Governance according to Immanuel Kant - best possible governanceData Governance according to Utilitarism - focus on business valueLessons from history studies: question the authenticity of your sources. Who wrote it? For what purpose? Why are you reading it? - same lessons apply to data.That is why we need principles and values in AI ethics.Over-reliance on the objectivity of math - is math binary? Right or wrong? - this has been introduced into algorithmic thinking and AI.This is the reason why «algorithmic authority» is an issue - because the algorithm says «right» doesn't mean it is right.Our mindset is constantly evolving. That's why we cannot predict tomorrow's bias. We need to ensure that our systems evolve with us.What is the real purpose of AI systems? Are the core values only efficiency, automation, or is it human dignity or autonomy?Promptism:A new way of «positivism: Just because its written down its true»Promptism is my term for a subtle but growing mindset around the globe, that you can extract truths from a language model, just by wording your prompt well.»LLMs are very fluent and flattering - they say what people want to hear.«That's what Large Language models are: You are not getting the truth. You are just getting the most common answer.»Objectivity is a myth. It is always subjective, so we need to read not only the text but also peoples intentions with the text.Responsibility for understanding at the limitations and needed criticism of LLM output is shared.Producers have a responsibility to ensure that you can know, when models are hallucination, guardrails in models to ensure that output is not looked at as the truth.Readers are responsible to learn how to read and understand machines.Consumers need rot push for transparency.Without accountability, trust is eroding.Politeness is a way for machines to ensure that users keep using them.Shouldn't rather an LLM as a «conversation partner» challenge you? Disagreement is part of learning.«Agreeableness is addictive.»People are starting to get influenced by how LLMs are writing. It changes written conversation.Is language narrowed down to a certain path defined through AI? Is language becoming controllable?LLMs affect our lives in the way we read, write, talk, even think.There is a worldview baked into the system.Literacy means also critical thinking.

Job-Kollaps: Berufe für immer verloren – was das für dich bedeutet und wie du jetzt gegensteuerst! Deutschland rutscht in eine spürbare Jobkrise, und zwar schneller als viele denken. Zwar reden manche weiter vom Fachkräftemangel, doch die Zahlen zeigen ein anderes Bild: weniger offene Stellen, mehr Unsicherheit und drastische Umbrüche. Weil KI, Rezession und Strukturwandel gleichzeitig wirken, brechen vor allem Routinetätigkeiten in Industrie, Standard-IT und Verwaltung weg – während neue Bedarfe erst langsam nachwachsen. Genau hier setzt unser Thema Job-Kollaps: Berufe für immer verloren an. Während klassische Aufgaben schrumpfen, entstehen Chancen in krisenfesten Bereichen: Gesundheit, Pflege, soziale Dienste, öffentlicher Sektor, KI-nahe Services sowie erneuerbare Energien. Deshalb lohnt sich ein gezielter Kurswechsel. Wer die eigene Erfahrung klug mit Zukunftsfeldern verbindet, gewinnt Tempo – und macht sich unabhängiger von Zyklus und Zufall. Statt abzuwarten brauchst du jetzt einen klaren, messbaren Plan. Analysiere ehrlich, welche Kernskills du mitbringst, und identifiziere systematisch die Lücken. Als Entwickler:in könntest du dich beispielsweise Richtung IT-Security oder Data Governance entwickeln; in Kombination mit Branchen wie Medizintechnik oder Energie entsteht ein besonders robuster Mix. So nutzt du dein bestehendes Know-how und positionierst dich dennoch für Wachstum. Upskilling darf nicht abstrakt bleiben, sondern muss sich rechnen. Starte deshalb mit praxisnahen Onlinekursen, Micro-Zertifikaten und internen Projekten, dokumentiere echte Use Cases mit KI-Tools und übersetze Ergebnisse in verwertbare Referenzen. Dadurch belegt dein Lebenslauf Wirkung statt Willen – und Recruiter erkennen auf einen Blick, warum du Mehrwert stiftest. Außerdem brauchst du Sichtbarkeit. Weil 70–80 % aller Jobs über Netzwerke vergeben werden, solltest du dein Umfeld reaktivieren: ehemalige Kolleg:innen, Kund:innen, Lieferanten und Mitstudierende. Parallel optimierst du LinkedIn, folgst Zielunternehmen, kommentierst fachlich, bittest um kurzes Sparring – und wandelst Gespräche konsequent in Chancen um. So beschleunigst du den Marktzugang, während andere noch zögern. Mein 3-Schritte-Plan für den Turnaround: Erstens Realitätscheck – bin ich kurz- oder mittelfristig betroffen, und wodurch genau? Zweitens Skill-Gap schließen – welche Zertifikate, Projekte und Deadlines bringen den größten Hebel? Drittens Marktzugang – Kontakte aktivieren, Referenzen zeigen, fokussiert wechseln. Im Ergebnis gilt: Job-Kollaps: Berufe für immer verloren ist kein Schicksal, sondern ein Weckruf, jetzt entschlossen zu handeln. Zum Schluss der Bewerbungs-Boost: Weil Interviews einer wiederkehrenden Logik folgen, trainierst du deine Antworten und belegst Aussagen mit Projekten. Dadurch erzählst du nicht nur eine starke Story, sondern erhöhst auch die Abschlusswahrscheinlichkeit – gerade dann, wenn der Markt rau ist.  

How do you get your organization trained up to use AI tools? Richard talks to Stephanie Donahue about her work implementing AI tools at Avanade and with Avanade's customers. Stephanie discusses how many workers are bringing their own AI tools, such as ChatGPT, to work and the risks that represent to the organization. Having an approved set of tools helps people work in the right direction, but they will still need some education. The challenge lies in the rapidly shifting landscape and the lack of certifications. However, you'll have some individuals eager to utilize these tools, often on the younger side, and they can help build your practice. The opportunities are tremendous!LinksChatGPT EnterpriseLearning M365 CopilotSecure and Govern Microsoft 365 CopilotMicrosoft PurviewResponsible AI at MicrosoftMicrosoft Viva EngageRecorded July 18, 2025

Big Data LDN (BDL), the ultimate data event of the year, celebrates its 10th anniversary this year. This year's event is scheduled to take place on September 24 and 25, with a brand-new deep-dive conference held on September 23. In this episode of the Don't Panic, It's Just Data podcast, host Shubhangi Dua, Podcast Producer and B2B Tech Journalist at EM360Tech, speaks with Michael Ferguson, CEO of Intelligent Business Strategies and BDL Conference Chair, and Palesa Amadi, BDL Conference Manager. The speakers provide a sneak peek of the upcoming Big Data LDN conference. They discuss how AI affects data and analytics, and spotlight the importance of data governance. Additionally, they talk about the different theatres and sessions available at the conference. The conversation also shines a light on keynotes and notable speakers, the changes in data engineering and architecture, and the learning opportunities for attendees. AI Agents, Data Products in the LimelightGet ready for "AI madness", says the Conference Chair. This year's event will feature AI in many forms, from AI agents walking the aisles to its integration into almost every software product on the exhibition floor."It's going to be hectic," Ferguson expresses. He expects a strong push toward AI-driven data governance and data management. Such changes aim to simplify complex tasks and make tools easier for more users to access. Instead of just seeing copilots, attendees will experience multi-agent capabilities and even "AI apps."With 16 theatres and numerous speakers, the conference focuses on learning. Conference Manager describes how the content is tailored for everyone—from engineers and analysts to students."You're going to come to this to learn and to add to your knowledge, and of course, network," says Amadi. The show has changed its focus to include new theatres like Data Products and Streaming Analytics, along with Decision Automation. Some theatres have been renamed to highlight the growing influence of AI, such as the Data and AI Strategy Theatre.A new "Data for Good" theatre will feature sessions on sustainability and using data for unconventional purposes, like tackling global food needs.Unmissable Keynotes and SpeakersThe speaker lineup is a big draw, featuring well-known experts and thought leaders. Amadi is particularly excited about keynote speaker Zhamak Dehghani, who will discuss the "apparent redundancy" of the term data mesh. Dehghani, who wrote the viral white paper on this topic, will advocate for her...

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

How do you secure your organization's data to let AI technologies work safely? Richard chats with Martina Grom about her experiences helping sysadmins responsibly bring the power of Microsoft M365 Copilot into their organizations. Martina discusses setting up security and monitoring with tools like Microsoft Purview, enabling visibility into where copilots are working and who is using them. Once the measuring tools are in place, you can begin to establish limitations for the AI without compromising regular employee workflows. Check the show links for a list of great tools you can use to get M365 Copilot working for your organization safely!LinksGovernance Toolkit 365EU AI ActData, Privacy, and Security for Microsoft 365 CopilotTranslating with CopilotConfiguring SharePoint with Entra IDMicrosoft PurviewData Loss PreventionMicrosoft Purview Compliance ManagerData Security Posture Management for AISharePoint Advanced ManagementCopilot in Microsoft 365 Admin CentersRecorded July 16, 2025

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

In this episode of the Tyler Tech Podcast, we explore how strong data governance is essential to unlocking the full potential of artificial intelligence in the public sector.Recorded live at the Tyler Connect conference in San Antonio, this insightful conversation features Franklin Williams, president of Tyler's Data & Insights Division and deputy chief technology officer. Franklin explains how effective data governance — covering data inventory, quality, access, and accountability — lays the groundwork for trustworthy AI and better decision-making.We dive into the most common data challenges public sector agencies face today, the practical steps to take when building a governance program, and how those efforts can empower both human users and AI systems alike. From data stewardship to responsible access controls, this episode offers valuable guidance for any organization preparing for the future of government technology.Tune in to learn how cleaning, cataloging, and securing your data today can help unlock transparency, operational insight, and innovation tomorrow.This episode also highlights “Resilient by Design: How Technology Supports Government,” our free e-book that explores how public sector agencies can strengthen their resilience in the face of disruption. From cloud infrastructure and automation to secure payment systems and crisis response tools, the e-book features real-world examples of how technology helps governments maintain continuity and serve their communities more effectively.Download: Resilient by Design: How Technology Supports GovernmentAnd learn more about the topics discussed in this episode with these resources:Download: A Digital Government Guide to Effective Data StrategiesDownload: Digital Access and Accessibility in the Resident ExperienceBlog: The Power of Data: Building Resilient and Responsive SystemsBlog: Preparing for the Future of AI in GovernmentBlog: Improving Public Safety: Data and Cloud InnovationsBlog: Nevada's Pursuit of Open GovernmentListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

Theresa Ancick, data governance strategist and consultant with Accura Business Services LLC., joins host Andrew Miller to discuss a framework for modern data governance - including avoiding common pitfalls, practical application of data governance principles, and the importance of data governance for AI. Please visit A Framework for Modern Data Governance for more information on the TDWI Virtual Seminar as a part of Data Governance week. Please check out TDWI Transform 25 for the full agenda and to learn more about Theresa's course in Orlando. ____________ 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

As AI becomes deeply embedded in every industry, building AI systems that are secure, responsible, and privacy-centric is more crucial than ever. But where do you begin? At the strategy level? Design? Or implementation? How do organizations tackle the challenges of AI risks, data governance, and compliance while keeping pace with innovation?Join us for an insightful conversation with Punit Bhatia and Santosh Kaveti, CEO of Pro Arch, as we explore the evolving landscape of responsible AI, key foundational steps, and the practical approaches to secure AI deployment.If you're looking to understand how to build AI systems that are not only innovative but also secure and trustworthy, this episode is for you!KEY CONVERSION 00:01:58 Responsible AI 00:04:30 AI Strategy 00:11:43 Role of standards and Approach 00:15:35 Good practices of Data Governance 00:19:55 AI Talent 00:23:10 Pro Arch Role in costumers 00:25:00 Contact Information of Santosh  ABOUT GUEST Santosh Kaveti is CEO & Founder at Proarch. With over 18 years of experience as a technologist, entrepreneur, investor, and advisor, Santosh Kaveti is the CEO and Founder of ProArch, a purpose-driven enterprise that accelerates value and increases resilience for its clients with consulting and technology services, enabled by cloud, guided by data, fueled by apps, and secured by design. Santosh's vision and leadership have propelled ProArch to become a dominant force in key industry verticals, such as Energy, Healthcare & Lifesciences, and Manufacturing, where he leverages his expertise in manufacturing process improvement, mentoring, and consulting. Operationalizing AI: From Strategy to Execution Navigating AI Risks: Ensuring Security and Compliance Prioritizing AI Initiatives: Aligning with Business Goals Attracting and Retaining Top AI Talent Integrating AI into Core Business Functions The Data Foundation: Governance, Quality, and Culture in AI  Santosh's journey is marked by resilience, ambition, and self-awareness, as he has learned from his successes and failures, and continuously evolved his skills and perspective. He has traveled across 23 countries, gaining insights into the global diversity and interconnectedness of human experiences. He is passionate about blending technology with a human-centric approach and making a meaningful societal impact through his support for initiatives that uplift underprivileged children, assist disadvantaged families, and promote social awareness.Santosh's ethos extends to his investments in and mentorship of promising startups, as well as his role as the Chairman of the Board at Enhops and iV4, two ProArch companies.  ABOUT HOST Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach professionals.  Punit is the author of books “Be Ready for GDPR' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.  RESOURCES Websites www.fit4privacy.com,www.punitbhatia.com, https://www.linkedin.com/in/santoshkaveti/ , https://www.proarch.com/  Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy   

Transforming one's business with AI while maintaining that human element is the balance everyone's struggling with. But what if the answer's hidden in plain sight? In this episode of Bringing Data and AI to Life, host and VP of Data Governance and Data Integration Solution Sales at Informatica, Amy Horowitz sits down with Alanna Val Hackett, Manager of Data Solutions at TripleLift, to explore the evolution of modern data teams, effective data-driven product management, and practical AI implementation strategies. Tune in for valuable insights on how to balance automation with human expertise, develop junior talent effectively, and create a documentation culture that empowers self-service analytics. The only data teams that will win are the ones who keep ethical considerations at the forefront.

In this episode of the SQL Data Partners Podcast, host Carlos L. Chacón is joined by Kevin Feasel and Eugene Meidinger for a deep dive into data governance and security within Microsoft Fabric. As part of Season 8's focus on Fabric, the trio explores how governance tools and practices are evolving with Microsoft's platform, including the use of domains, Purview integration, and the challenges that arise from pricing and tool fragmentation. With their usual banter and insights, the hosts lay out foundational concepts around organizational data governance and highlight some key components Fabric offers out-of-the-box. They also candidly discuss gaps between marketing promises and real-world implementation—especially around documentation and administration. Whether you're building out your governance framework or trying to decipher where Purview fits in, this episode brings clarity and context with plenty of humor along the way. We hope you enjoyed this conversation on data governance and security in Microsoft Fabric. If you have questions or comments, please send them our way. We would love to answer your questions on a future episode. Leave us a comment and some love ❤️on LinkedIn, X, Facebook, or Instagram. The show notes for today's episode can be found at Episode 286: Data Governance and Security In Microsoft Fabric. Have fun on the SQL Trail!

The packaging around your product now matters just as much as the product itself. For companies navigating Extended Producer Responsibility (EPR) laws, that's quickly becoming the reality. And it's reshaping how teams think about data, packaging, and compliance. In this episode, Lindsay Savage, Senior Director of Data Governance and Business Platforms at Georgia-Pacific LLC, joins hosts Reid Jackson and Liz Sertl to demystify what EPR means for manufacturers and retailers.  With legislation ramping up across states, Lindsay explains how brands are preparing for complex reporting requirements, coordinating across departments, and turning sustainability regulations into opportunities for smarter product innovation. In this episode, you'll learn: Why EPR is more than a packaging issue and why it matters now How Georgia-Pacific is building scalable systems to manage regulatory data Tips for companies just getting started, from legal teams to logistics Jump into the conversation: (00:00) Introducing Next Level Supply Chain (02:21) Lindsay Savage's background (03:16) What EPR means for your business (04:50) Every state has its own rules (06:15) Data overload and the push for standards (07:36) Breaking down product, packaging, and pallet (09:27) Two ways to report EPR data (11:20) How to get started with EPR compliance (12:40) Building cross-functional teams for success (17:55) Embracing AI tools to stay ahead   Connect with GS1 US: Our website - www.gs1us.org GS1 US on LinkedIn   Connect with the guest: Lindsay Savage on LinkedIn Check out Georgia-Pacific

The rules of the game have changed—and brands that want to win in 2025 need to play smarter, not just harder. With persistent inflation, rising tariffs, and shifting expectations, just repeating 2024 strategies won't get the job done. In this high-impact episode of Real Talk About Real Marketing, we explore how Adobe + Acxiom turn uncertainty into opportunity. You'll hear real-world examples and actionable strategies for driving loyalty, efficiency, and growth—even in unpredictable times. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

Episode Overview Retailers recognize the need to transform, but most are missing the crucial first step. In this episode of Talk Retail to Me, Parker Avery's Dan Wittner joins Snowflake's Freddy Guard for a candid discussion about one of the most underestimated barriers to retail innovation: disconnected, messy, and misgoverned retail data. Whether it's launching AI initiatives, reshaping supply chains, or reimagining omnichannel experiences, true retail transformation begins with a solid data foundation. But legacy systems, siloed functions, and a lack of clear governance continue to block progress, even for Fortune 500 retailers. Dan and Freddy break down why transformation fails without clean, connected data and outline how progressive retailers are finally getting it right. From AI-enabled data cleanup to demand planning and inventory visibility, they share actionable steps for retailers ready to transform and realize meaningful, sustainable business results.   Featuring Dan Wittner – Chief Revenue Officer, The Parker Avery Group Freddy Guard – Industry Principal, Retail & Consumer Goods, Snowflake   Key Takeaways Transformation begins with data. No technology can deliver ROI without a clean, unified data foundation. Retail is at an inflection point. Channel complexity, evolving shopper behavior, and economic volatility demand better data visibility and governance. Data strategy must be a business strategy. Aligning IT and business objectives is crucial for driving meaningful change. Start small to scale fast. Break inertia by focusing on a high-impact use case, then use that momentum to drive enterprise-wide transformation. AI is no longer the barrier. With modern tools, data cleanup and governance are now finally scalable, enabling faster decision-making and smarter planning. Organizational change management is critical to successful transformation. Technology alone doesn't transform a business; people and culture do. Success requires vision and leadership. Winning retailers are pairing strategic roadmaps with empowered business champions to drive sustainable change. Episode Highlights Why retailers must rethink data as a transformation enabler, not just a technical asset The disconnect between AI hype and data reality How legacy thinking is holding back progress What meaningful change looks like, from inventory chaos to demand-driven agility Real-world case study: how a global grocer unlocked enterprise-wide transformation by modernizing data Why transformation efforts fail without business alignment and culture change How to build the right capabilities roadmap: assessment, strategy, and execution Related Content & Resources Video Replay on YouTube:  https://youtu.be/j7GJLoeOEmM   Parker Avery Retail Consulting Services https://parkeravery.com/retail-consulting/   Learn more about Snowflake http://www.snowflake.com/   Blog Post |  Optimizing Data Readiness for AI in Retail https://parkeravery.com/optimizing-data-readiness-for-ai-in-retail/   Talk Retail to Me Podcast | Winning with Data and Hyper-Localized Assortments https://parkeravery.com/winning-with-data-and-hyper-localized-assortments/   Insights | The Expert Guide to Data Governance in Retail https://parkeravery.com/data-governance-in-retail/   Case Study | New Strategy for Master Data Supports Core Merchandising Transformation https://parkeravery.com/industry-experience/new-strategy-for-master-data-supports-core-merchandising-transformation/

Discover how to turn decades of data into a competitive edge, build lasting customer relationships beyond the first click, and apply AI in ways that truly drive impact. Joining us is Vineet Mahajan, CTO of US News & World Report, who shares how he's led the 90-year-old brand through a sweeping digital transformation. From rearchitecting infrastructure to deploying semantic search, generative AI, and agentic tools, Vineet explains how his team is reimagining what a legacy institution can become—and what every tech leader can take from that journey.Key Moments:00:00 Meet Vineet Mahajan, CTO of US News & World Report04:45 How to Unlock the True Value of Your Data09:55 Why First-Party Data Is Key to Building Customer Relationships14:32 What Is Semantic Search and How Can Generative AI Improve UX?18:39 How to Overcome Data Cleaning and Structuring Challenges21:18 How to Evaluate Emerging Tech Trends (Like Agentic AI)25:43 How to Lead Change: Data Governance and Digital Transformation32:38 What's Next for US News & World Report and the Future of AI-Driven Strategy -- Brightspot is the leading content management platform built for modern teams. Your content lifecycle - from ideation to archival - moves faster, handling any volume, variety, or velocity with ease. Unlike legacy platforms that demand heavy dev work and struggle with scale, Brightspot is user-friendly, endlessly customizable, and enterprise-ready. Think dynamic, modern experiences, shipped in minutes—not months. Trusted by some of the world's leading tech organizations, Brightspot reduces total cost of ownership, boosts productivity, and gives you the governance, security, and performance your teams need. Visit brightspot.com/ITVisionaries to learn more.---This episode was produced by the team at Mission.org and brought to you by Brightspot.

Tapping into advanced analytics and automation, the pediatric hospital focuses on outcome-first AI design When Alda Mizaku assumed the role of Chief Data and AI Officer at Children's National Hospital, the position did not yet exist. With a background in biomedical engineering and predictive modeling, she brought both technical and clinical perspectives to what would […] Source: Children's National's Chief Data & AI Officer Says Foundational Data Governance Work Key to Deriving Meaningful Insights   on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

The three of us talk with Christoph Windheuser about the styles in data architecture: data mesh, data lake (house) and data warehouse and how to make a decision. In between Christoph explains data quality, data lineage, and data catalog - cornerstones of any modern approach. We end with emerging trends, DuckDB and data governance.

With a swirl of acquisition news happening in the industry, Zach Van Doren of Acxiom joins the Real Talk podcast to break it all down with hosts Kyle Hollaway and Dustin Raney. They touch on AI topics from the Salesforce acquisition of Informatica and Meta's bid for Scale AI, to the uncertainty around the direction of legislation and what the next new device could mean for brands and consumers. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

June 18, 2025: Glenn Wirick, Chief Commercial Officer at Clearsense, explores how freeing up your data allows for a new world of innovation. How can health systems transform their bloated application portfolios while cutting millions in unnecessary costs? Glenn unpacks the journey from basic data archiving to creating unified patient records that power advanced analytics and AI innovations. The conversation examines practical approaches to application rationalization, sustainable governance frameworks, and how smaller health systems can leverage these strategies despite economic constraints.  Key Points: 05:40 Legacy Data Management and Archiving 08:32 Clinical Impact and Data Governance 14:27 Data Sets Up Innovation 21:43 Future Trends  25:23 Lightning Round X: This Week Health LinkedIn: This Week Health Donate: Alex's Lemonade Stand: Foundation for Childhood Cancer

In this episode of The Tech Trek, Amir sits down with Sus Misra, SVP of Data & Analytics at Solve(D) (IPG Health), to unpack what true precision targeting looks like in one of the most regulated industries: pharma. Sus explains how healthcare marketers uniquely leverage individual-level data to connect with professionals like doctors and oncologists—something unheard of in most sectors.But with great data comes great responsibility. Sus dives into the ethical, regulatory, and technical challenges of working with sensitive healthcare data, from HIPAA compliance to new state-level restrictions that are reshaping how campaigns are executed. He also shares how machine learning and generative AI are beginning to help—but warns they'll never replace human governance.Whether you work in data, marketing, or product, this episode is a masterclass in what happens when cutting-edge tech meets hard regulatory walls.

Adrienne continues looking back in the archives with this fascinating conversation with Dr Jonathan Reichental, looking at the future of our work.Dr. Jonathan Reichental is a multiple-award-winning technology and business leader whose career has spanned both the private and public sectors. He's been a senior software engineering manager, a director of technology innovation, and has served as chief information officer at both O'Reilly Media and the City of Palo Alto, California. Reichental is currently the founder of advisory, investment, and education firm, Human Future, and also creates online education for LinkedIn Learning. He has written three books on the future of cities: Smart Cities for Dummies, Exploring Smart Cities Activity Book for Kids, and Exploring Cities Bedtime Rhymes. His latest books include Data Governance for Dummies and a Cryptocurrency QuickStart Guide. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Gov Tech Today, we dive deep into the innovative approaches CAL FIRE is taking to manage wildfires. Jennifer Saha sits down with Ben Rogers, Chief Technology Officer at CAL FIRE, as he shares his unique journey from the UK private sector to his pivotal role in California's firefighting efforts. They discuss the department's strategic focus on technology, data management, and public safety, highlighting initiatives like the RFI Squared process, 3D mapping, and AI-driven solutions. Ben explains the challenges of balancing rapid technological change with the necessity for accurate, real-time information and the importance of cross-departmental and vendor collaborations to drive transformative change in wildfire management. 00:00 Introduction and Guest Welcome00:38 Ben Rogers' Background and Career Journey02:33 Transition to CAL FIRE and Initial Challenges05:58 Innovation and Technology at CAL FIRE14:12 Future Plans and Technological Advancements21:33 The Importance of Data in AI22:24 Overwhelmed by Technological Advancements22:51 The Role of Business Analysts23:32 Data Governance and Stewardship24:02 Breaking Down Departmental Silos25:22 Generative AI and Full-Stack Professionals28:05 Challenges in Recruitment and Retention29:23 Balancing Speed and Accuracy in Information33:00 Engaging with Vendor Community39:15 Concluding Remarks and Safety Message  

Earlier this year, an entity called the Observatory on Information and Democracy released a major report called INFORMATION ECOSYSTEMS AND TROUBLED DEMOCRACY: A Global Synthesis of the State of Knowledge on News Media, AI and Data Governance. The report is the result of a combination of three research assessment panels comprised of over 60 volunteer researchers all coordinated by six rapporteurs and led by a scientific director that together considered over 1,600 sources on topics at the intersection of technology media and democracy ranging from trust in news and to mis- and disinformation is linked to societal and political polarization. Justin Hendrix spoke to that scientific director, Robin Mansell, and one of the other individuals involved in the project as chair of its steering committee, Courtney Radsch, who is also on the board of Tech Policy Press.

What if AI could level the playing field in higher education? This episode of Trending in Education explores that very question with Cecilia Marshall, Chief Advancement Officer at Ed Advancement. Host Mike Palmer and Marshall delve into the complex and compelling potential of AI, focusing on its impact on Historically Black Colleges and Universities (HBCUs) and other institutions serving under-resourced students. Marshall, whose journey winds from corporate advertising to the heart of educational advocacy, shares Ed Advancement's vital work: strengthening mission-driven colleges to fuel social mobility. The conversation moves beyond the hype surrounding AI to address the crucial need for ethical implementation, data sovereignty, and genuine collaboration with students and schools. We discover how AI enablement—building robust data infrastructure—can unlock personalized learning, streamline advising, and ultimately drive student success. Marshall doesn't shy away from the challenges: algorithmic bias, the digital divide, and the ever-present need for AI literacy. This isn't just a discussion about technology; it's a story about equity, access, and the future of learning. Key Takeaways: AI enablement, focusing on data governance, is essential for leveraging AI tools. AI has the potential to create personalized pathways for students, improving advising and career planning. Addressing the ethical implications of AI, including bias, is crucial for equitable implementation. AI can potentially close the divide between well-resourced and under-resourced institutions. Institutions need to prioritize AI literacy and dexterity for both students and staff. Subscribe to Trending in Education wherever you get your podcasts. Join the conversation shaping what's next in education. Timestamps 00:00 Introduction and Guest Welcome 01:03 Cecilia Marshall's Professional Journey 02:51 About Ed Advancement 04:29 AI in Higher Education 07:51 Challenges and Opportunities with AI 09:52 AI Enablement and Data Utilization 12:00 Personalized Pathways and Student Success 16:14 AI Literacy and Ethical Considerations 20:33 Navigating Overwhelming Website Content 21:30 The Importance of Personalization for Students 22:45 Challenges Faced by HBCUs 24:55 Data Governance and Integration 27:26 IT Talent and Resource Allocation 32:11 Future of AI in Education 34:06 Personal Reflections and Career Advice 36:22 Concluding Thoughts and Takeaways