Podcasts about Data governance

As organizations race to adopt AI, many discover an uncomfortable truth: ambition often outpaces readiness. In this episode of the ITSPmagazine Brand Story Podcast, host Sean Martin speaks with Julian Hamood, Founder and Chief Visionary Officer at TrustedTech, about what it really takes to operationalize AI without amplifying risk, chaos, or misinformation.Julian shares that most organizations are eager to activate tools like AI agents and copilots, yet few have addressed the underlying condition of their environments. Unstructured data sprawl, fragmented cloud architectures, and legacy systems create blind spots that AI does not fix. Instead, AI accelerates whatever already exists, good or bad.A central theme of the conversation is readiness. Julian explains that AI success depends on disciplined data classification, permission hygiene, and governance before automation begins. Without that groundwork, organizations risk exposing sensitive financial, HR, or executive data to unintended audiences simply because an AI system can surface it.The discussion also explores the operational reality beneath the surface. Most environments are a patchwork of Azure, AWS, on-prem infrastructure, SaaS platforms, and custom applications, often shaped by multiple IT leaders over time. When AI is layered onto this complexity without architectural clarity, inaccurate outputs and flawed business decisions quickly follow.Sean and Julian also examine how AI initiatives often emerge from unexpected places. Legal teams, business units, and individual contributors now build their own AI workflows using low-code and no-code tools, frequently outside formal IT oversight. At the same time, founders and CFOs push for rapid AI adoption while resisting the investment required to clean and secure the foundation.The episode highlights why AI programs are never one-and-done projects. Ongoing maintenance, data validation, and security oversight are essential as inputs change and systems evolve. Julian emphasizes that organizations must treat AI as a permanent capability on the roadmap, not a short-term experiment.Ultimately, the conversation frames AI not as a shortcut, but as a force multiplier. When paired with disciplined architecture and trusted guidance, AI enables scale, speed, and confidence. Without that discipline, it simply magnifies existing problems.Note: This story contains promotional content. Learn more.GUESTJulian Hamood, Founder and Chief Visionary Officer at TrustedTech | On LinkedIn: https://www.linkedin.com/in/julian-hamood/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Spotlight Brand Story: https://www.studioc60.com/content-creation#spotlight▶︎ Highlight Brand Story: https://www.studioc60.com/content-creation#highlightKeywords: sean martin, julian hamood, trusted tech, ai readiness, data governance, ai security, enterprise ai, brand story, brand marketing, marketing podcast, brand story podcast, brand spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"There is no AI without data. And if you want to build something that is great in AI, you should base it on something that is great in data."

Algorithms and automations have been buds for a decade plus.

Mike & Tommy dive into "Data Governance in the Age of Fabric IQ," exploring whether Fabric IQ is truly the missing link for effective data governance or just another AI feature. They discuss practical strategies for organizations to enhance their governance frameworks and ensure successful implementation.https://blog.fabric.microsoft.com/en-us/blog/introducing-fabric-iq-the-semantic-foundation-for-enterprise-ai?ft=Allhttps://learn.microsoft.com/en-us/fabric/iq/https://learn.microsoft.com/en-us/fabric/governance/governance-compliance-overviewGet in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

⬥EPISODE NOTES⬥Artificial intelligence is reshaping how public health organizations manage data, interpret trends, and support decision-making. In this episode, Sean Martin talks with Jim St. Clair, Vice President of Public Health Systems at a major public health research institute, Altarum, about what AI adoption really looks like across federal, state, and local agencies.Public health continues to face pressure from shifting budgets, aging infrastructure, and growing expectations around timely reporting. Jim highlights how initiatives launched after the pandemic pushed agencies toward modernized systems, new interoperability standards, and a stronger foundation for automated reporting. Interoperability and data accessibility remain central themes, especially as agencies work to retire manual processes and unify fragmented registries, surveillance systems, and reporting pipelines.AI enters the picture as a multiplier rather than a replacement. Jim outlines practical use cases that public health agencies can act on now, from community health communication tools and emergency response coordination to predictive analytics for population health. These approaches support faster interpretation of data, targeted outreach to communities, and improved visibility into ongoing health activity.At the same time, CISOs and security leaders are navigating a new risk environment as agencies explore generative AI, open models, and multi-agent systems. Sean and Jim discuss the importance of applying disciplined data governance, aligning AI with FedRAMP and state-level controls, and ensuring that any model running inside an organization's environment is treated with the same rigor as traditional systems.The conversation closes with a look at where AI is headed. Jim notes that multi-agent frameworks and smaller, purpose-built models will shape the next wave of public health technology. These systems introduce new opportunities for automation and decision support, but also require thoughtful implementation to ensure trust, reliability, and safety.This episode presents a realistic, forward-looking view of how AI can strengthen the future of public health and the cybersecurity responsibilities that follow.⬥GUEST⬥Jim St. Clair, Vice President, Public Health Systems, Altarum  | On LinkedIn: https://www.linkedin.com/in/jimstclair/⬥HOST⬥Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥RESOURCES⬥N/A⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

⬥EPISODE NOTES⬥Artificial intelligence is reshaping how public health organizations manage data, interpret trends, and support decision-making. In this episode, Sean Martin talks with Jim St. Clair, Vice President of Public Health Systems at a major public health research institute, Altarum, about what AI adoption really looks like across federal, state, and local agencies.Public health continues to face pressure from shifting budgets, aging infrastructure, and growing expectations around timely reporting. Jim highlights how initiatives launched after the pandemic pushed agencies toward modernized systems, new interoperability standards, and a stronger foundation for automated reporting. Interoperability and data accessibility remain central themes, especially as agencies work to retire manual processes and unify fragmented registries, surveillance systems, and reporting pipelines.AI enters the picture as a multiplier rather than a replacement. Jim outlines practical use cases that public health agencies can act on now, from community health communication tools and emergency response coordination to predictive analytics for population health. These approaches support faster interpretation of data, targeted outreach to communities, and improved visibility into ongoing health activity.At the same time, CISOs and security leaders are navigating a new risk environment as agencies explore generative AI, open models, and multi-agent systems. Sean and Jim discuss the importance of applying disciplined data governance, aligning AI with FedRAMP and state-level controls, and ensuring that any model running inside an organization's environment is treated with the same rigor as traditional systems.The conversation closes with a look at where AI is headed. Jim notes that multi-agent frameworks and smaller, purpose-built models will shape the next wave of public health technology. These systems introduce new opportunities for automation and decision support, but also require thoughtful implementation to ensure trust, reliability, and safety.This episode presents a realistic, forward-looking view of how AI can strengthen the future of public health and the cybersecurity responsibilities that follow.⬥GUEST⬥Jim St. Clair, Vice President, Public Health Systems, Altarum  | On LinkedIn: https://www.linkedin.com/in/jimstclair/⬥HOST⬥Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥RESOURCES⬥N/A⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

In this essay, Juan Carlos Mijangos Noh reflects on an experience of creating a microcosm of an anarchist community in a Yucatecan Maya Village in Mexico. The experience involved women students trained in a neoliberal university who, despite that, were able to perform in an anarchistic fashion. Juan Carlos Mijangos Noh is a full professor at the Autonomous University of Yucatan, Mexico. His most recent publications are: Creating an Anarchist Community: How can Students from a Neoliberal University Participate?, published by Anarchist Studies (https://journals.lwbooks.co.uk/anarchiststudies/vol-33-issue-2/); and The Canicab Charter: A Mayan Model for Data Governance, published by the International Council of Media Literacy (https://ic4ml.org/journal-article/the-canicab-charter-a-mayan-model-for-data-governance/). A longer version of this article appeared in Anarchist Studies 33.2 (2025). For a version of this podcast in Spanish, fast forward to 15.34 Anarchist Essays is brought to you by Loughborough University's Anarchism Research Group and the journal Anarchist Studies. Follow us on Bluesky @anarchismresgroup.bsky.social Our music comes from Them'uns (featuring Yous'uns). Artwork by Sam G.

AI-integrated tools, such as OpenAI's Atlas and Microsoft Teams, are introducing new trust and identity risks, particularly through vulnerabilities like prompt injections and guest access features. The Atlas browser, launched on October 21, 2025, has been identified as having security flaws that could allow attackers to inject harmful instructions. Similarly, Microsoft Teams has a vulnerability that permits attackers to bypass security protections when users join external tenants as guests. These developments highlight the fragility of AI integrations and the need for robust security measures in collaborative environments.The FBI has reported over $262 million in losses due to account takeover fraud schemes, with more than 5,100 complaints filed this year. Cybercriminals are employing social engineering tactics to gain unauthorized access to online banking and payroll accounts, often locking victims out by changing passwords. The FBI recommends that individuals monitor their financial accounts closely, use complex passwords, and enable multi-factor authentication to mitigate these risks. This trend underscores the importance of managing trust and identity in security practices, as attackers increasingly exploit human vulnerabilities rather than technical flaws.In the managed service provider (MSP) sector, a recent survey by OpenText Cybersecurity revealed that while 92% of MSPs are experiencing growth driven by interest in AI, fewer than half feel prepared to implement AI tools effectively. This marks a significant decline from the previous year's 90% readiness. Additionally, 71% of MSPs reported that their small and medium-sized business clients prefer bundled security solutions, indicating a shift towards integrated offerings that simplify decision-making for clients. The findings suggest that MSPs need to focus on data governance and readiness before deploying AI solutions.For MSPs and IT service leaders, the key takeaway is that modern security is increasingly about managing identity and data governance rather than merely adding more tools. As AI vulnerabilities and account takeover fraud become more prevalent, providers must prioritize establishing secure trust boundaries and effective data management practices. By doing so, MSPs can differentiate themselves in a competitive market, ensuring they are equipped to deliver secure AI solutions and meaningful automation to their clients. Three things to know today00:00 New AI, Collaboration, and Fraud Threats Underscore That Identity—not Infrastructure—is the Real Security Battleground05:15 Survey Shows MSPs Expanding Services Amid AI Interest, Yet True Opportunity Lies in Readiness and Governance07:45 New MSP Integrations, Funding, and AI Platforms Underscore the Shift Toward Identity and Data Governance as the True Control Plane This is the Business of Tech.     Supported by:  https://try.auvik.com/dave-switchhttps://scalepad.com/dave/

What does it take to be ready to deploy M365 Copilot in your organization? Richard talks to Nikki Chapple about her latest incarnation of the M365 Copilot Readiness Checklist, working step-by-step to bring M365 Copilot into the organization without causing data leak issues. Nikki discusses utilizing existing tools to accurately identify sensitive data, archiving outdated information, and monitoring data usage by both users and agents - allowing you to detect issues before they escalate. The conversation also delves into the process of identifying issues, discussing policy changes, and how to communicate those changes so that people can take advantage of the power of these new tools without feeling threatened. It's a journey!LinksMicrosoft PurviewSharePoint Advanced ManagementDefender for Cloud AppsRestricted SharePoint SearchMicrosoft 365 ArchiveSharePoint Restricted Content DiscoveryData Security Posture Management for AINikki's Readiness ChecklistM365 Copilot Oversharing BlueprintMicrosoft Purview Secure by Default BlueprintPrevent Data Leaks to Shadow AI BlueprintRecorded November 7, 2025

OpenAI has declared a "code red" as it faces intensified competition from companies like Google and Anthropic, prompting a shift in focus towards enhancing the capabilities of its ChatGPT platform. CEO Sam Altman has urged staff to prioritize improvements in speed, reliability, and personalization, delaying other initiatives such as advertising. This strategic pivot comes as OpenAI also announced an ownership stake in Thrive Holdings, a company that acquires and transforms service firms, particularly in accounting and IT, with the aim of integrating AI to improve operational efficiency.A recent study by Stebo Systems highlights a significant gap between Chief Information Officers' (CIOs) perceptions of their organizations' AI readiness and the actual state of their data management. While 91% of U.S. business leaders recognize the importance of customer data management, only 31% fully trust their data. The study reveals that 76% of organizations still rely on side spreadsheets to address data issues, indicating a lack of centralized data governance. This fragmentation leads to wasted time and lost revenue, underscoring the need for robust data governance frameworks as organizations aim to adopt AI-driven services.The episode also discusses the implications of surveillance AI, particularly a model developed by Securis Technologies that predicts and prevents crimes among inmates using data from prison phone calls. While the company claims success in disrupting criminal activities, concerns about civil liberties and the ethical use of such data have been raised. This situation serves as a cautionary tale for IT service providers, emphasizing the importance of establishing governance frameworks to mitigate risks associated with AI deployment in business environments.For Managed Service Providers (MSPs) and IT leaders, the key takeaway is the necessity of controlling their own AI strategies. As OpenAI integrates vertically into the service industry, independent MSPs must differentiate themselves by building their own AI capabilities and data governance practices. The episode stresses that without a solid data foundation, AI initiatives are likely to fail, and MSPs should focus on enhancing data quality and governance to ensure successful AI implementations and maintain client trust. Four things to know today 00:00 OpenAI Pauses Ads Amid “Code Red” While Buying Into MSP Rollup, Raising Platform–Competitor Concerns05:16 Leaders Say They're Ready for AI — but Their Data Still Lives in Side Spreadsheets07:49 Securus Call-Monitoring AI Shows How Predictive Surveillance Could Spill Into Workplace Tools10:27 New AI Helpers and Simple M365 Assessments Raise the Bar for Modern IT Providers This is the Business of Tech.    Supported by:  https://getflexpoint.com/msp-radio/https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship

Send us a textIn this episode, Joe sits down with Vishnu Varma to explore the evolving landscape of cybersecurity and data management. Vishnu shares his journey from India to the US, detailing his experiences at Cisco and the rise of cloud security. They delve into the challenges of managing vast amounts of data in the age of AI, discussing how BonFi AI is innovating in data security. Tune in to learn about the importance of context in data protection and the future of cybersecurity in a rapidly changing digital world.00:00:19 Introduction to Vishnu's Journey00:00:30 Entering the US and Cisco00:02:18 Cloud Security and AI00:02:48 Data Governance and Challenges00:08:47 The Expansiveness of Cloud00:11:00 AI's Appetite for Data00:12:11 Data Security in the JNI Era00:14:29 The Importance of Context00:16:13 Data Used by Enterprises00:22:24 Conclusion and Future Trendshttps://www.bonfy.ai/Bonfy.aiBonfy ACS is a next-gen DLP platform built for the AI era. Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

In this episode, we explore the fascinating concept of sensory living networks with Prof. Dimitra Simeonidou, director of the Smart Internet Lab, Paul Wilson, chair of the advisory board for SmartCitiesWorld and Simon Saunders, honorary professor at the Smart Internet Lab. Discover how these intelligent networks can revolutionise emergency responses and provide critical data to enhance urban living. Join us as we delve into the potential benefits and ethical considerations of utilising such technology for the greater good of society.Chapters:(00:00) Introduction(01:15) Sensory Living Networks Explained(05:30) Emergency Services and Data Utilisation(10:00) The Role of Regulation(15:45) Global Standards and Cooperation(20:30) Future of AI and Data Governance(25:00) ConclusionThis is an 18Sixty Production.

Jeff Marraccini is back and he brought Daniel Ayala with him. Jeff is a former VP and CISO, and Daniel is one of the hosts of Great Security Debate podcast. Jeff shares his journey from IT infrastructure to a CISO role, discussing the challenges of securing software and the importance of continuous adaptation. The conversation then shifts into the evolving landscape of AI, the potential pitfalls of zero trust and data governance, and the implications of regulation on VPN usage. The episode wraps up with a look at the critical role of open source software in the IT industry, highlighting its benefits and the security risks it poses.

“We can drive so much more insights, analytics, and informed decisions if we knew which data we have, where it is, and how to find it.”

This is the takeaway episode with Jessica Zuñiga is the Head of AI Readiness & Data Governance at BlueYeti and one of the most important voices in data governance in Mexico and Latin America. Tim and Juan discuss with Jessica about when data and AI governance truly becomes a business enabler and how to use frameworks like DAMA effectively. If you like what you heard, you should check out the full episode!See omnystudio.com/listener for privacy information.

Jessica Zuñiga is the Head of AI Readiness & Data Governance at BlueYeti and one of the most important voices in data governance in Mexico and Latin America. Tim and Juan discuss with Jessica about when data and AI governance truly becomes a business enabler and how to use frameworks like DAMA effectively. See omnystudio.com/listener for privacy information.

To implement AI (and processes) correctly, you need good data. But what does that mean? Well, firstly it means that you can define your data product and to achieve that you need good data governance.But are we now in a super-nerdy topic? No, this is what we all do in some form or another … but in different fidelities and maturities.To shed some light on the topic of data governance, we invited Angelika Rinck for this episode. She started her career studying public administration and then served in the German federal police before switching to the regular industry (in the aerospace industry, and while that might not be enough, she studied economics in parallel).Somehow she found her way into consulting and is working now in digitalization and IT projects. Her main focus here is product lifecycle management and data governance.In this episode of the podcast, we talk about:Angelika's career journey: from e-commerce working student in Hamburg to aerospace, engineering, and ultimately major IT and data governance initiatives.Her first agile project—complete with a physical Kanban box—sparked her love for IT project management and structured delivery.A detour into underwater orienteering reveals surprising parallels to data work: precision, navigation, and making decisions in the dark.Defining data governance: the framework of rules, processes, and responsibilities that guide how organizations create, use, secure, and improve data.Why it matters: Governance drives clarity, accountability, and value creation—not just control or compliance.Understanding the difference between data governance (framework and value creation) and data management (the operational “doing”).A common failure pattern: organizations naming “business data stewards” without training, tooling, or understanding the expectations.Governance only works when decentralized experts feed real issues into a central team—not when policies are pushed top-down in isolation.Data products demystified: they're the outcome of well-governed data—reusable, high-value information assets that improve processes, decisions, speed, or cost.Real examples: using historical field data instead of simulation data to accelerate engineering calculations or using decades of bird-flight video to predict weather with AI.Risks of bad data with AI: incorrect system guidance, support tickets exploding, contradictions between outdated documents, and misplaced trust in “the easy button.”Governance foundations: critical data identification, metadata transparency, ownership, RASCI clarification, and understanding who creates, changes, and consumes data.The messy reality: access rights often don't match process needs—leading to shortcuts, bypasses, and unintended process redesign opportunities.Final takeaway: data governance isn't bureaucracy—it's a structured path to value, clarity, and safer AI adoption, but it requires real effort, definitions, ownership, and cultural change.You can reach Angelika on LinkedIn here: https://www.linkedin.com/in/angelika-rinck-b93a7019b/.Please reach out to us by either sending an email to hello@whatsyourbaseline.com or signing up for our newsletter and getting informed when we publish new episodes here: https://www.whatsyourbaseline.com/subscribe/.

In this episode of "Alter Everything," we sit down with Andrew Merrill, Alteryx product specialist and advocate, to explore best practices for integrating AI and LLMs into data analytics processes. Some topics we discuss include proven design patterns for generative AI, such as feedback loops, routing, and RAG architectures, and learn how to avoid common pitfalls like token overuse and data governance challenges. Andrew shares real-world use cases, tips for leveraging Alteryx Co-pilot, and strategies for prompt engineering to maximize workflow efficiency. Panelists: Andrew Merrill, Alteryx Consultant - @CoG, LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Alteryx Gen AI ToolsAlteryx Co-pilotAlteryx Inspire Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

In this episode, IBM's Kal Gyimesi and Vishal Rane explore how AI is redefining efficiency in asset lifecycle management. They share why strong data governance is the foundation for successful AI adoption — noting that only 25% of AI projects meet ROI expectations due to disconnected systems. The conversation breaks down different types of AI, including generative AI, machine learning, chat assistance and intelligent agents, and how each drives smarter decision-making. They also emphasize the need for continuous testing, monitoring and responsible deployment to ensure reliability and long-term value across operations.00:00 Introduction to AI in Facility Management01:38 The Hype and Reality of AI03:10 Types of AI in Organizations04:34 Asset Lifecycle Management07:18 Data Governance and AI Implementation08:31 Corporate Real Estate and Digital Transformation12:09 Conclusion and Key TakeawaysThis episode is sponsored by ODP Business Solutions! Connect with Us:LinkedIn: https://www.linkedin.com/company/ifmaFacebook: https://www.facebook.com/InternationalFacilityManagementAssociation/Twitter: https://twitter.com/IFMAInstagram: https://www.instagram.com/ifma_hq/YouTube: https://youtube.com/ifmaglobalVisit us at https://ifma.org

Systems should make life easier, not more complicated. That idea runs through our conversation with technology strategist “VPN,” whose journey from SAP in India to the UN in Geneva to advising global institutions shaped a simple practice: start with the problem, then use data and AI to serve people with clarity and care.We dig into what most teams get wrong about data—confusing volume with insight and falling into confirmation bias. Instead of chasing clever dashboards, we map a workflow where hypotheses are tested, methods are transparent, and systems explain themselves in plain language. The result is trust. And trust is what unlocks adoption, the critical moment when data actually changes a decision. From HR policy Q&A to legal discovery, we show how AI can strip away repetitive labor so humans focus on context, tradeoffs, and fairness.Designing for the public means building for real settings: clinics with noise, fields with poor connectivity, and city services that must be accessible, secure, and easy to use. We explore digital twins, predictive maintenance, and crowdsourced reporting—and why each only works when the loop closes and action is visible. Along the way, we share a framework for people-first AI strategy: educate users, co-design with business owners, choose use cases where automation is safe and useful, and require explainability where stakes are high. The through line is constant: human judgment at the end of the loop, with AI as the force multiplier.If you care about ethical AI, public sector innovation, and data that leads to better outcomes—not just faster reports—you'll find practical steps you can apply today. Subscribe, share with a colleague who wrangles dashboards for a living, and leave a review with one question you want AI to help your community answer next.Send us a textCheck out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats. The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.

Episode OverviewIn this episode, Malcolm Hawker sits down with Jonathan Ong, Data Director for Mecklenburg County Public Health, to unpack how a small, resource-constrained team built a thriving data governance program from the ground up. They explore the practical realities of securing executive buy-in, building data literacy, and shifting governance from a compliance exercise to a catalyst for better decision-making. Whether you lead data in government or the private sector, this conversation offers a playbook for making governance simple, scalable, and impactful.Episode Links and ResourcesFollow Malcolm Hawker on LinkedInFollow Jonathan Ong on LinkedIn

Send us a textIn Episode 262 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Nicola Fabiano, Lawyer, Data Protection, Data Governance and Cybersecurity Advisor, and Author, about how defining artificial intelligence clearly is essential to regulating it effectively. They explain why the world must move beyond broad general terms and begin focusing on artificial intelligence systems to ensure that legal frameworks match the real operational and privacy impacts already influencing everyday life. Nicola shares his view that society is not entering the age of AI, but is finally recognizing its long standing presence and the complexity behind its rapid expansion.They explore the delicate balance between innovation and fundamental rights as advanced AI becomes deeply integrated into global business, government, infrastructure, and daily decision making. The conversation addresses gaps in traditional oversight, the need for practical governance tools, and how neural network development challenges prior assumptions about data, consent, control, and risk. Nicola outlines why privacy law cannot operate in isolation, but must link with technical standards and ethical expectations to truly protect individuals and prevent unintended harm.Listeners will gain insight into Nicola's multi layer approach, which combines legal, scientific, operational, and ethical perspectives to keep AI growth aligned with human values. This episode underscores why collaboration across disciplines is critical for setting boundaries that encourage responsible progress, reduce uncertainty, and build trust in intelligent systems with global influenceSupport the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

“It's one thing to govern the data, but you also have to govern the usage of the data.”

In this conversation, Frank Verdeja shares his extensive experience in e-commerce and data management, discussing the importance of bridging the communication gap between technical teams and business stakeholders. He emphasizes the role of data integrity in e-commerce and the growing significance of data management systems in the age of AI. Frank expresses his enthusiasm for discovering new e-commerce companies and supporting startups in the Minneapolis area.TakeawaysFrank has 13 years of experience in e-commerce and data management.He emphasizes the importance of context in communication between technical and business teams.Data integrity is crucial for businesses of all types.Frank's company focuses on data governance and observability.He believes that understanding the value of data helps prioritize tasks.The rise of AI has made data management systems more important than ever.Customers prefer to own their data and need suitable platforms.Frank enjoys learning about new e-commerce companies in the Twin Cities.He has a passion for supporting startups and new players in the market.The conversation highlights the intersection of technology and business in e-commerce.Chapters00:00Introduction to E-commerce and Data Management02:57Bridging the Gap: Technology and Business Communication05:33Data Integrity and Its Role in E-commerce06:06The Future of E-commerce and Data Management06:06TC - Outtro All AV version 1.mp4

In this episode of The Virtual CISO Moment, Greg Schaffer welcomes back cybersecurity expert and best-selling author Peter H. Gregory — who's written over 50 books and helped shape many of today's top security and certification programs.They dive deep into:

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

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.

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

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.

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.

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

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

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   

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.