Podcasts about ai data

More than 30 years after taking on Pacific Gas & Electric—and winning—Erin Brockovich is still fighting for communities. This time, her focus is on one of the fastest-growing parts of the AI boom: data centers.In this episode of Next Question with Katie Couric, Erin explains why she's sounding the alarm about the rapid expansion of AI data centers across the country. Since April, Erin says she's received thousands of reports from people across the country describing rising water bills, land acquisitions, and large-scale projects moving forward without their knowledge. She calls it "Hinkley on steroids."Katie and Erin discuss water use, energy demand, local opposition, and why Erin believes communities deserve more transparency, accountability, and oversight as the AI infrastructure boom accelerates. Hosted on Acast. See acast.com/privacy for more information.

Can we expect any more wins from Congress before Summer recess? What are the tradeoffs we need to consider when building AI data centers? Plus, The Heritage Foundation has a new resource that can help you make sure the American history museum you are planning to visit is not a woke disaster. All this and […]

"Have we seen the productivity benefit from that? I think it's reasonable to say that no, no, we haven't."That is Ryan Maibach, President and CEO of Barton Malow, on the software stackhis own teams are carrying.Roughly 40 different tools for a project manager. Around 35 for a superintendent.He is not describing a company that failed to adopt technology. He is describing one that adopted a lot of it and is now counting the cost.His point on this week's episode was not that the tools are bad. Several of themwork. It is that digging foundations, placing concrete and erecting steel have not fundamentally changed, while the process wrapped around those activities has grown exponentially more complex. He is seeing burnout, and he is not seeing the productivity.Then he took it somewhere harder.If a construction manager exists partly to help a client overcome informationasymmetry, and AI hands that client the same knowledge directly, what is the service actually worth?Full episode out now. Link below.#bricksandbytes #bricksbytes #aec #construction #constructiontech #ai #vcChapters00:00 Intro01:45 Quickfire: builder or technologist04:41 What Barton Malow actually builds07:28 Where the industry goes in the next ten years09:53 Sponsors12:54 Labour, cost and the technology question13:22 Why the downturn worries him more than the labour shortage16:37 Data centers, and the pushback from inside his own team19:09 Steering a company when nobody knows what happens next22:10 What construction executives should prioritise right now24:42 The AI strategy paradox30:07 Second brains, and what happens to the general contractor33:58 40 tools per PM and no productivity to show for it36:50 LIFTbuild: building a tower from the top down41:39 What they got wrong trying to change the industry45:45 Hyperscalers as clients48:42 How he actually runs his week52:43 What he screens for when hiring56:38 Bias, and the leader he learned the most fromOur Sponsors:BreadCrumb- 50,000+ projects globally. All running safer, faster, with Breadcrumb. - breadcrumb.coAphex is the multiplayer planning platform where construction teams plan together, stay aligned, and deliver projects faster – check out aphex.coArchdesk - “The #1 Construction Management Software for Growing Companies - Manage your projects from Tender to Handover” check archdesk.com

Today's Talkbacks - Debate About AI Data Centers 

The Wisconsin Public Health Association recently adopted a resolution saying unregulated hyperscale data centers are a threat to public health in our state. In this episode, hear from one of the co-authors of that resolution to find out the health and energy consequences of data centers. Host: Amy Barrilleaux Guest: Kayla Rinderknecht, Community Health Manager, Clean Wisconsin Resources for You:  Petition: Stop Unchecked AI Data Center Development Clean Wisconsin Action Alerts    

There are several development projects underway for AI data centres in Canada, with plans for many, many more. The Canadian government is behind these projects as it tries to encourage Canadians to adopt the technology and increase Canada's digital sovereignty by housing data within our borders. But there is a lot of opposition to these data centres from the communities where they'd be built, including in Hamilton, and Île-des-Chênes, Alta. Residents worry about the facilities' water use, power use and environmental impacts. Today, The Globe's national reporter Joe Friesen tells us about the projects slated for development in Canada, why so many have faced public backlash, and the balance the government has to strike in deciding how and whether to build these centres in Canada. Questions? Comments? Ideas? E-mail us at thedecibel@globeandmail.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if AI could strengthen democracy instead of concentrating power?In this episode of Ethics and Innovation by Oxford+ brought to you by Equinox, host Susannah de Jager speaks with Audrey Tang, Taiwan's Cyber Ambassador and former Digital Minister, about civic AI, digital democracy and the practical alternatives to extractive big tech models. Audrey explains why data should be treated as soil, not oil, and how smaller, community-shaped models can serve families, cities and nations without forcing everyone into a single technological dependency.The conversation moves from Taiwan's pandemic response to deepfake fraud, social media portability, local Kami models and the 6-Pack of Care, offering a hopeful but grounded vision for AI governance. Recent reporting on Taiwan's anti-fraud work shows why this matters now: Audrey has said Taiwan's civic AI approach helped reduce deepfake scams by more than 94%, as reported by MIT Solve.For policymakers, founders and citizens, this episode asks a practical question: how do we design AI systems that increase participation, transparency and trust, rather than deepening dependency, polarisation and surveillance?(00:00) - Welcome to Oxford+ (01:13) - Audrey Tang's Role in Taiwan and Oxford (03:16) - Data as Soil, Not Oil (05:14) - Replacing Rage Algorithms with Consensus (09:10) - Community Notes and Commercial Bridge-Building (13:00) - Singleton Models, Kami and Local AI (17:19) - Sovereign Models and Technology Dependency (22:29) - Building Trust Around Public Data (27:34) - Transparency, Data Altruism and Shared Purpose (31:16) - The 6-Pack of Care (33:45) - Barriers to Civic AI Adoption (36:58) - Rewilding the Web Audrey Tang: Audrey Tang is Taiwan's Cyber Ambassador, Taiwan's first Digital Minister from 2016 to 2024, and a Senior Accelerator Fellow at the Oxford Institute for Ethics in AI. Audrey is a civic hacker, open-source contributor and co-author of Plurality: The Future of Collaborative Technology and Democracy, with work focused on digital democracy, public-interest technology, civic AI and collaborative governance. TIME named Audrey to its inaugural 100 Most Influential People in AI list in 2023, and Audrey received the 2025 Right Livelihood Award for advancing the social use of digital technology to empower citizens, renew democracy and heal divides.Connect with Audrey on LinkedIn Susannah de Jager: Susannah is a seasoned professional with over 15 years of experience in UK asset management. She has worked closely with industry experts, entrepreneurs, and government officials to shape the conversation around domestic scale-up capital.Connect with Susannah on LinkedIn and Subscribe to the Oxford+ Newsletter for Exclusive ContentOxford+ is hosted by Susannah de Jager and supported by Equinox.Produced and Edited by Story Ninety-Four in Oxford.

Send us Fan MailWe go from AI data centers and environmental strain to the everyday stress people feel when bills rise and guardrails fail. We also get practical about awareness, work survival, and entrepreneurship that does not depend on hustle-culture myths. • data centers driving power demand and water worries • why “guardrails” matter more than tech hype • distrust in politics when money shapes outcomes • defining “woke” as awareness and self-checking • media distractions and performative representation • Broadway and moviegoing as culture and value • street smarts as practical intelligence for life • workplace gossip and backstabbing warning signs • entrepreneurship as a long game and owning your path Really check out my song Whiskey. Siquoyia Blue's linkhttps://siquoyiablue.komi.io/Support the showFollow your host atYouTube and Rumble for video contenthttps://www.youtube.com/channel/UCUxk1oJBVw-IAZTqChH70aghttps://rumble.com/c/c-4236474Facebook to receive updateshttps://www.facebook.com/EliasEllusion/LinkedInhttps://www.linkedin.com/in/eliasmarty/Some free goodiesFree website to help you and me https://thefreewebsiteguys.com/?js=15632463New Paperhttps://thenewpaper.co/refer?r=srom1o9c4glPodMatchhttps://podmatch.com/?ref=1626371560148x762843240939879000

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Apex Fintech Solutions provides the tools and services that enable hundreds of clients to launch, scale, and support digital investing for tens of millions of end investors. The company provides essential infrastructure and a comprehensive ecosystem of cloud-based products to enable and streamline trading, wealth management, cost basis, tax reporting, and, through its subsidiary Apex Clearing™, custody and clearing. LEARN MORE: https://apexfintechsolutions.com/?utm_source=Risk+Reversal&utm_medium=Podcast&utm_campaign=701PJ00000fnXhaYAE Dan and Guy speak with legendary short seller Jim Chanos about extreme market dispersion beneath an S&P near all-time highs, rising retail speculation, and a new wave of IPOs, secondaries, and insider selling. Chanos explains his hedged 40-stock model portfolio and argues the AI build-out is driving a torrent of equity and debt financing, often off balance sheet, into long-lived assets with uncertain economics. He warns that long-term projects are being justified by spot pricing, while “construction in progress” accounting and depreciation timing defer costs, inflating earnings and masking obsolescence. He compares today to—and “worse” than—the late-1990s infrastructure boom, highlights falling incremental returns on hyperscaler invested capital, notes shifting neo-cloud business models toward “asset light,” and says bull markets price promises while ignoring financial reality. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media The financial opinions expressed in Risk Reversal content are for information purposes only. The opinions expressed by the hosts and participants are not an attempt to influence specific trading behavior, investments, or strategies. Past performance does not necessarily predict future outcomes. No specific results or profits are assured when relying on Risk Reversal. Before making any investment or trade, evaluate its suitability for your circumstances and consider consulting your own financial or investment advisor. The financial products discussed in Risk Reversal carry a high level of risk and may not be appropriate for many investors. If you have uncertainties, it's advisable to seek professional advice. Remember that trading involves a risk to your capital, so only invest money that you can afford to lose. Derivatives are not suitable for all investors and involve the risk of losing more than the amount originally deposited and any profit you might have made. This communication is not a recommendation or offer to buy, sell or retain any specific investment or service.

Today's Talkbacks - AI Data Centers - July 17th

KANSAS WATER WARS: DATA CENTERS VS. FARMS IN THE FIGHT FOR THE OGALLALA AQUIFER Water is running out in Kansas, and a new competitor just showed up: data centers. Trent Loos heads to Sedgwick County to sit down with retired agronomist John Hecht and Mike Betzen for a hard look at the state's…More Info

Erin Brockovich is an environmental advocate, consumer activist, and author who rose to national prominence after helping expose one of the largest groundwater contamination cases in U.S. history involving Pacific Gas & Electric. Her investigation led to a landmark $333 million settlement and inspired the Academy Award-winning film Erin Brockovich, starring Julia Roberts. For more than three decades, she has investigated environmental contamination, corporate misconduct, and public health issues, working alongside communities to hold powerful corporations accountable. Today, she is focused on the rapid expansion of AI data centers, raising awareness about their impact on water resources, energy infrastructure, and local communities while leading a nationwide initiative to track data center development. She is also the author of several books, including Superman's Not Coming, which explores America's water crisis and the importance of protecting one of our most essential resources. Shawn Ryan Show Sponsors: Go to https://moinkbox.com/SRS to get free chicken wings in every box for a year as long as you're a paying customer. New customers can save 35% on your first month of Dose for Cholesterol by going to https://dosedaily.co/SRS or entering SRS at checkout. Go to https://rorra.com/SRS for an exclusive discount on the Rorra Countertop System and tap into clean water today. Try Gusto today at https://gusto.com/SRS and get three months free when you run your first payroll. Go to https://ladder.fit/SRS to take a quick quiz and get a free 7-day trial with no credit card and $10 off your first month when you join. Shopify: Stop waiting for permission to build something. Your next revenue stream starts free at https://shopify.com/srs Erin Brockovich Links: Substack - https://substack.com/@erinbrockovich Website - https://www.brockovich.com Data Center Map - https://www.brockovichdatacenter.com X - https://x.com/ErinBrockovich Instagram - https://www.instagram.com/the_real_erin_brockovich Learn more about your ad choices. Visit podcastchoices.com/adchoices

Derrick Broze and Hakeem Anwar discuss the rapid expansion of AI data centers and the rising surveillance state. They introduce ReclaimFuture.com, a platform designed to help citizens map local data centers that threaten utility prices, water supplies, and digital privacy. The conversation highlights a growing movement of mass non-compliance against technologies like license plate readers and biometric tracking. The speakers argue that these infrastructure projects are part of a transnational technocracy that spans both Western and BRICS nations, requiring a unified, grassroots response. To combat this, they are organizing a national day of local activism on August 1st to encourage community-led resistance. They emphasize that achieving data privacy and preserving resources depends on people power and education rather than relying on global political shifts. Escape the Technocracy Live Workshop (w/ Geopolitics & Empire)! https://escapethetechnocracy.com/product-escape-the-technocracy-live-workshop-season-2 Watch on BitChute / Brighteon / Rumble / Substack / YouTube *Support Geopolitics & Empire! Become a Member https://geopoliticsandempire.substack.com Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation **Listen Ad-Free for $4.99 a Month or $49.99 a Year! Apple Subscriptions https://podcasts.apple.com/us/podcast/geopolitics-empire/id1003465597 Supercast https://geopoliticsandempire.supercast.com ***Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics American Gold Exchange https://www.amergold.com/geopolitics Escape The Technocracy (15% off w/ GEOPOLITICS!) https://escapethetechnocracy.com/geopolitics Expat Money (FREE “WW3 Plan-B” Report!) https://expatmoney.com/geopolitics PassVult https://passvult.com Sociatates Civis https://societates-civis.com StartMail https://www.startmail.com/partner/?ref=ngu4nzr Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Reclaim Our Future https://reclaimfuture.com AI Data Center Map https://aidatacentermap.org The Conscious Resistance https://theconsciousresistance.com Derrick Broze X https://x.com/DBrozeLiveFree Derrick Broze Substack https://derrickbroze.substack.com Take Back Our Tech https://takebackourtech.org TBOT Substack https://tbot.substack.com Above Phone https://abovephone.com/?above=geopolitics About Derrick Broze Derrick Broze is a journalist, author, documentary film maker, public speaker, and activist. He is the founder of The Conscious Resistance Network and author of How to Opt-Out of the Technocratic State. About Hakeem Anwar Hakeem Anwar is a technologist and educator who dropped his career in big tech to work on meaningful social movements. He founded #TakeBackOurTech to teach freedom lovers how to use technology privately, and created Above: a privacy-first technology company that develops phones, laptops, and communication services. *Podcast intro music used with permission is from the song “The Queens Jig” by the fantastic “Musicke & Mirth” from their album “Music for Two Lyra Viols”: http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)

Check out the STACK for links from each show here: http://JustinBarclay.comNew gear is here! Check out the latest in the Justin Store: https://justinbarclay.com/storeProtect what you've worked for… Kirk Elliott Precious Metals is my preferred partner - http://GoldWithJustin.comJoin Justin in the MAHA revolution - http://HealthWithJustin.comTry Cue Streaming for just $2 / day and help support the good guys https://justinbarclay.com/cueUp to 80% OFF! Use promo code JUSTIN http://MyPillow.com/JustinPatriots are making the Switch! What if we could start voting with our dollars too? http://SwitchWithJustin.comNo matter what's coming, you can be ready for your family and others. http://PrepareWithJustin.com #adFind Justin..Podcast: https://www.iheart.com/podcast/53-westmichiganlivewith-28276509/?keyid%5B0%5D=West%20Michigan%20Live%20with%20Justin%20Barclay&pname=podcast_profile&sc=widget_shareRumble: https://rumble.com/c/JustinBarclayLOCALS: https://justinbarclay.locals.comFacebook: https://www.facebook.com/MrJustinBarclayTwitter: https://twitter.com/mrjustinbarclayGettr: https://gettr.com/user/mrjustinbarclayTruth: https://truthsocial.com/@mrjustinbarclayInstagram: https://www.instagram.com/mrjustinbarclayTwitch: https://www.twitch.tv/mrjustinbarclayGab: https://gab.com/MrJustinBarclayTiktok: https://www.tiktok.com/@mrjustinbarclayBitchute: https://www.bitchute.com/channel/OvxYfTftZdRk/Brighteon: https://www.brighteon.com/channels/mrjustinbarclayClouthub: https://app.clouthub.com/#/onboarding/?redirect=%2Fusers%2Fu%2Fmrjustinbarclay%2FpostsSubstack: https://substack.com/profile/41993224-justin-barclayGet the stories from today's show in THE STACK: https://justinbarclay.comJoin Justin in the MAHA revolution - http://HealthWithJustin.comProTech Heating and Cooling - http://ProTechGR.com New gear is here! Check out the latest in the Justin Store: https://justinbarclay.com/storeUp to 80% OFF! Use promo code JUSTIN http://MyPillow.com/JustinHeartland Home Mortgage http://HHMLending.com

A humanoid robot is entering a real classroom, Silicon Valley startups are quietly adopting Chinese AI models to cut costs, conservatives are organizing nationwide protests against AI data centers, and Microsoft's Xbox strategy is facing growing criticism from inside one of its flagship game studios. On Hashtag Trending for Thursday, July 16, 2026, host Jim Love examines one of the first deployments of a humanoid robot teaching assistant in a North American classroom. The robot supports a human teacher using a STEM curriculum developed by Apple co-founder Steve Wozniak, provides 24/7 homework assistance, operates without direct public internet access, protects student privacy through confidential IDs, and escalates concerns such as bullying or self-harm to human staff. The episode also looks at a new NPR report suggesting startups—including some in Silicon Valley—are increasingly choosing lower-cost Chinese open-source AI models such as DeepSeek, Moonshot AI's Kimi, and Alibaba's Qwen instead of more expensive models from OpenAI and Anthropic. Jim explores why AI economics may become more important than benchmark performance and what that could mean for the future of the AI industry. The show also covers a nationwide day of protest organized by the conservative group Humans First, led by Tea Party veteran Amy Kremer, opposing rapid AI data-center expansion over concerns about electricity, water use, tax incentives, land use, noise, and local jobs. Finally, Microsoft faces fresh criticism over its Xbox restructuring after an anonymous id Software developer condemned layoffs that came just one day before the release of a critically acclaimed DOOM expansion, saying Microsoft has "destroyed immense amounts of value." If you enjoy practical, fact-based analysis of artificial intelligence, technology, cybersecurity, Microsoft, OpenAI, Google, Nvidia, and the companies shaping the future of tech, subscribe to Hashtag Trending for new episodes every weekday. Chapters 00:00 Today's Trending Rundown 00:30 Robot Teacher Arrives 01:47 Safety, Privacy and Access 02:23 Pilot Program Stakes 03:44 Company's Unusual Origins 05:23 Startups Turn to Chinese AI 06:58 Cost Economics of AI Models 09:03 AI's Manufacturing Parallel 10:05 Conservative Data Center Protests 12:09 Xbox Restructuring Backlash 14:00 Show Wrap and Book Promo 14:02 ELISA Free Kindle Offer 14:42 Reviews, Early Readers and Thanks 16:06 Sign Off

Ryan discusses President Donald Trump's criticism of New York Governor Kathy Hochul over the state's temporary moratorium on AI data centers. He also reacts to listener Talkbacks on the issue. See omnystudio.com/listener for privacy information.

ในทุกวันนี้ยักษ์ใหญ่ระดับโลกอย่าง Google, Microsoft และ TikTok กำลังแห่มาสร้าง Data center ในไทย พวกเขาสูบน้ำและไฟฟ้ามหาศาลเพื่อใช้ประมวลผล AI แต่เชื่อไหมครับว่า โครงการระดับชาติที่ใช้ทรัพยากรมหาศาลขนาดนี้ กลับหลีกเลี่ยงการทำประเมินผลกระทบสิ่งแวดล้อม (EIA) เพียงเพราะอาศัยช่องโหว่ทางกฎหมายจดทะเบียนเป็นแค่ “โกดังสินค้า” ที่น่าตกใจกว่านั้น เบื้องหลังการก่อสร้างเหล่านี้กลับมีเส้นสายเชื่อมโยงไปถึงครอบครัวของผู้มีอำนาจสูงสุดทางการเมือง สรุปแล้วการตื่นทอง AI ครั้งนี้ ใครกันแน่ที่รวยอู้ฟู่ และคนไทยได้อะไรจากเรื่องนี้กันแน่? เลือกฟังกันได้เลยนะครับ อย่าลืมกด Follow ติดตาม PodCast ช่อง Geek Forever's Podcast ของผมกันด้วยนะครับ ========================= 

 Headlines: – Welcome to Mo News + Spain Beats France In World Cup Semifinal (02:00) – ICE Pausing Most Traffic Stops Following Deadly Shootings In Maine, Texas (07:15) – Inflation Slowed to 3.5%; Americans Get Break From Higher Gas Prices (11:45) – Wall Street Focused On ‘NACHO' Trade With Trump, Iran (12:40) – New York Becomes First State To Pause AI Data Center Development (21:15) – House Passes Bill Making Daylight Saving Time Permanent (26:00) – Health Officials Zero In On Lettuce In Explosive Diarrhea Outbreak (30:00) – Investigation In Australia Uncovers Antisemitism In Hospitals (33:30) – Forget Cash. Some San Francisco Home Sellers Want AI Stock Instead (36:30) – On This Day In History (41:00) Thanks To Our Sponsors: – Monarch - 50% off your first year | Code: MONEWS – Factor - 50% off your first box | Code: monews50off –⁠ Industrious⁠ - Coworking office. 50% off day pass | Code: MONEWS50 – LMNT | Free Sample Pack with any LMNT drink mix or 12oz cans purchase – ⁠Boll & Branch⁠ – 20% off first order, plus free shipping | Code: MONEWS

The news to know for Wednesday, July 15, 2026! We'll tell you about a major policy shift for immigration officers and how it's linked to two recent killings. Also, where air quality is becoming a concern because of wildfire smoke. And an unfortunate new record as the outbreak of a stomach illness continues around the country. Plus, all about a new push to end the twice-a-year clock change, which state just banned A.I. data centers, and how Starbucks is trying to turn some employees into TikTok influencers.   Those stories and even more news to know in about 15 minutes!    Join us every Mon-Fri for more daily news roundups!  See sources: https://www.theNewsWorthy.com/shownotes Become an INSIDER to get AD-FREE episodes here: https://www.theNewsWorthy.com/insider Get The NewsWorthy MERCH here: https://thenewsworthy.dashery.com/ Sponsors: Get 15% off OneSkin with the code NEWSWORTHYat oneskin.co/newsworthy #oneskinpod Our listeners can get 20% off their Rosetta Stone Sapphire subscription when they sign up today! Go to RosettaStone.com/newsworthy to get access to Rosetta Stone Sapphire in 25 languages. To advertise on our podcast, please reach out to ad-sales@libsyn.com

The 5 a.m. "All Local" update for Wednesday, July 15, 2026.

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Jim Love covers four major technology stories shaping the future of AI, investing, and digital society. A new Verasight survey finds growing public support for stronger AI regulation and Senator Bernie Sanders' proposed American AI Sovereign Wealth Fund Act, including a one-time 50% stock tax on the largest AI companies to create an estimated $7 trillion public wealth fund. New York becomes the first U.S. state to pause new hyperscale AI data center approvals while it develops new environmental and energy rules, reflecting growing grassroots resistance to massive AI infrastructure projects in North America and beyond. The episode also examines the sharp decline in SpaceX shares following their IPO, along with major losses for IBM and Oracle, asking whether investors are beginning to rethink the enormous cost of the AI buildout. Finally, a Fortune report reveals a striking trend among technology's biggest names. Many of the people who built today's digital world—including Peter Thiel, Bill Gates, Steve Jobs, Evan Spiegel, and even Mark Zuckerberg—have chosen to limit their own children's exposure to smartphones and social media. Timestamps 00:00 Headlines and Intro 00:40 AI Wealth Fund Push 02:36 Oversight and Trust Gap 05:37 New York Data Center Moratorium 06:22 Global Pushback on AI Buildouts 07:55 SpaceX Slides After IPO 08:51 IBM, Oracle and the AI Investment Question 10:24 Why Tech Leaders Limit Their Kids' Screen Time 12:24 Wrap Up and Support the Show Topics Covered AI regulation Bernie Sanders AI Sovereign Wealth Fund OpenAI Anthropic Artificial Intelligence New York data center moratorium AI data centers SpaceX stock IBM earnings Oracle stock Larry Ellison Nvidia AI investing Social media and children Peter Thiel Bill Gates Mark Zuckerberg Technology news Tech podcast Hashtag Trending

Check out the STACK for links from each show here: http://JustinBarclay.comNew gear is here! Check out the latest in the Justin Store: https://justinbarclay.com/storeProtect what you've worked for… Kirk Elliott Precious Metals is my preferred partner - http://GoldWithJustin.comJoin Justin in the MAHA revolution - http://HealthWithJustin.comTry Cue Streaming for just $2 / day and help support the good guys https://justinbarclay.com/cueUp to 80% OFF! Use promo code JUSTIN http://MyPillow.com/JustinPatriots are making the Switch! What if we could start voting with our dollars too? http://SwitchWithJustin.comNo matter what's coming, you can be ready for your family and others. http://PrepareWithJustin.com #adFind Justin..Podcast: https://www.iheart.com/podcast/53-westmichiganlivewith-28276509/?keyid%5B0%5D=West%20Michigan%20Live%20with%20Justin%20Barclay&pname=podcast_profile&sc=widget_shareRumble: https://rumble.com/c/JustinBarclayLOCALS: https://justinbarclay.locals.comFacebook: https://www.facebook.com/MrJustinBarclayTwitter: https://twitter.com/mrjustinbarclayGettr: https://gettr.com/user/mrjustinbarclayTruth: https://truthsocial.com/@mrjustinbarclayInstagram: https://www.instagram.com/mrjustinbarclayTwitch: https://www.twitch.tv/mrjustinbarclayGab: https://gab.com/MrJustinBarclayTiktok: https://www.tiktok.com/@mrjustinbarclayBitchute: https://www.bitchute.com/channel/OvxYfTftZdRk/Brighteon: https://www.brighteon.com/channels/mrjustinbarclayClouthub: https://app.clouthub.com/#/onboarding/?redirect=%2Fusers%2Fu%2Fmrjustinbarclay%2FpostsSubstack: https://substack.com/profile/41993224-justin-barclayGet the stories from today's show in THE STACK: https://justinbarclay.comJoin Justin in the MAHA revolution - http://HealthWithJustin.comProTech Heating and Cooling - http://ProTechGR.com New gear is here! Check out the latest in the Justin Store: https://justinbarclay.com/storeUp to 80% OFF! Use promo code JUSTIN http://MyPillow.com/JustinHeartland Home Mortgage http://HHMLending.com

AI is no longer simply another fast-growing demand segment for the data center industry. It has become the “organizing principle” around which development strategy, infrastructure design and market selection are increasingly structured. On this episode of the Data Center Frontier Show, DCF Editor in Chief Matt Vincent speaks with Colby Cox, Managing Director for the Americas at DC Byte, about the forces determining where the next generation of AI infrastructure can actually get built. According to Cox, the market is no longer constrained primarily by demand or access to capital. The decisive constraint is executable power: whether capacity has truly been secured, when it can be energized, and whether the grid or an onsite generation strategy can support the intended phases of development. That gap between announced and deployable capacity is becoming increasingly visible in DC Byte's data. Cox says the firm has recorded a roughly 20% increase in projects remaining in the committed or early-stage categories, with power availability responsible for much of the delay. At the same time, the scale of AI development continues to expand. At the beginning of 2023, DC Byte tracked three committed projects of at least 900 MW. Today, it tracks 17, along with 49 additional projects of that size in early-stage development. Fifteen of those early-stage projects exceed 2 GW, with several approaching 10 GW. Inside the data hall, rack-density assumptions are changing just as quickly. Designs are moving from traditional averages near 6 kW per rack toward serious planning around 100-kW racks, with some AI environments pushing beyond 300 kW. That shift affects nearly every layer of the facility, including electrical distribution, busway, breaker coordination, floor loading, mechanical plant design, piping, commissioning and heat rejection. Liquid cooling is consequently becoming a primary design system rather than a future retrofit. Cox also examines the emerging geography of AI infrastructure. Development is spreading beyond established markets toward locations where power, policy and community support can be aligned. Texas activity is extending beyond Dallas-Fort Worth into markets including Pecos and Abilene, while Louisiana has moved from roughly 9 MW of data center capacity several years ago to a pipeline measured in gigawatts. Indiana, West Virginia, Pennsylvania and outer portions of the Atlanta market are also attracting attention. But power is not the only variable redrawing the map. Local resistance, permitting risk and community trust are now material elements of project underwriting. As Cox puts it, the AI campus map is being redrawn “by power first and politics second.” The conversation concludes with a look at behind-the-meter generation. Although most data center operators would prefer not to become power companies, onsite systems—particularly those built around natural gas—are becoming necessary in some markets as either a bridge to utility service or a longer-term solution. Listen to the full episode for a data-driven examination of power availability, gigawatt-scale development, rack density, emerging markets and the new execution realities shaping the AI data center sector.

Healthcare AI can only be as strong as the data behind it, but patient privacy cannot be treated as collateral damage. In this episode of Straight Outta Health IT, Dr. Julia Komissarchik, CEO and Founder of Glendor, Inc., joins Christopher Kunney to explore one of the most pressing challenges in healthcare AI today: how to responsibly use patient data while ensuring that protected health information (PHI) is not exposed.Julia breaks down why de-identification is far more complex than simply stripping a patient's name from a record. She explains that PHI can be embedded in many different forms beyond structured fields, including clinical text, medical images, voice recordings, video, metadata, and even indirect contextual signals such as hospital names, locations, or physician specialties. Because of this, ensuring true privacy protection requires a much more nuanced and multi-layered approach than many assume.She also highlights the importance of diversity in healthcare data when building AI systems. According to Julia, robust models depend on exposure to a wide range of populations and care settings, including rural, urban, tribal, and underserved communities, to ensure that AI performs reliably and equitably across different real-world environments.Tune in to learn why privacy, trust, and responsible data infrastructure are foundational to the future of AI in healthcare.ResourcesConnect with Dr. Julia Komissarchik on LinkedIn here or reach out via email here.Follow Glendor, Inc on LinkedIn here and visit their website here.

Qualcomm just held its 2026 Investor Day, and the headline number is a new $15 billion AI data center revenue target for 2029 — up from essentially zero two years ago. We break down whether this fabless smartphone-royalty giant can actually pull off a pivot into AI data centers.We cover the AlphaWave Semiconductor acquisition and why Arm-based data center networking IP matters to hyperscaler customers, Qualcomm's 3D-stacked silicon packaging approach designed to work around the high bandwidth memory bottleneck amid the 2026 memory shortage, and the Modular acquisition — an AI-native software platform positioned as a potential CUDA alternative. On fundamentals, we walk through the revenue mix as smartphone growth slows to a 5% CAGR following the Apple wind-down, and why automotive and IoT are beating original targets. We close with a reverse DCF on the ~$190 stock price to see how much growth is already priced in, and why QCOM still holds a place in our portfolio as a diversified, value-oriented semiconductor stock.Content is for general information and entertainment only, not individual investment advice. All investing involves risk, including loss of principal. CSI owns shares of Qualcomm.Semi Insider members get full access to our research platform and tools. Join at chipstockinvestor.com.

Governor Kathy Hochul signed the nation's first executive order to temporarily suspend the expansion of large AI data centers. WFUV News, Tahlia Pearson, has more on how this order will help New Yorkers with taxes. Pre-K classrooms in New York City will receive special education programs that were previously only available to grades K through twelve. WFUV's Sonia Weliwitigoda has more on the announcement. Just off of 2nd Ave on a quiet side street in the East Village, sits an NYPD parking lot that will soon be turned into 131 affordable housing units. WFUV's Lainey Nguyen spoke with New Yorkers to see how they feel about the project and affordable housing in NYC. Bryant Park's summer movie nights kicked off last night. Seats on the lawn are first-come, first-serve. WFUV's Livia Regina took us to the race to get a spot. Host/Producer: Xenia Gonikberg Editor: Nathan Ray Reporter: Tahlia Pearson Reporter: Sonia Weliwitigoda Reporter: Lainey Nguyen Reporter: Livia Regina Theme Music: Joe Bergsieker

Rising pressure on power, water, and land availability is changing how AI data centre campuses are assessed. Sungai Samak Estate's five plots present a Malaysia-based model where sustainable infrastructure, electric vehicle manufacturing, and long-term industrial planning meet investor demand for resilient growth in Southeast Asia. Sungai Samak Estate City: Kuala Lumpur Address: 2 Jalan Sempurna off Jalan Gombak Website: https://sgsamak.com

AI needs vast data centres to power it but communities around the world are increasingly pushing back against the large, ugly “sheds” appearing on their doorsteps.In the US, one proposed Utah data centre is set to be larger than Manhattan. Meanwhile, architects in the UK are looking at ways to make data centres more attractive, functional and useful to local communities. So Danny Fortson and Katie Prescott ask whether better design, waste-heat reuse and local benefits could make AI infrastructure more acceptable.Plus, Danny speaks to Jason Kelly, co-founder and CEO of Ginkgo Bioworks, who explains how AI and biology are coming together through autonomous “cloud labs” that could transform scientific discovery.Would you hate data centres less if they were more beautiful? Get in touch: techpod@thetimes.co.ukWatch on YouTube Read more: Save our countryside from ugly AI data sheds: make them beautifulProducer: Ethan Sills, Shabnam Grewal & Marnie Duke.Executive Producer: Priyanka DeladiaVideo Producer: Bronwen LathamImage: Getty Hosted on Acast. See acast.com/privacy for more information.

Facebook's parent company plans to build a huge AI data center in Canada. AP correspondent Donna Warder reports.

Meta's historic $13 billion AI data centre announcement - the largest private-sector technology project in Alberta's history - has people talking about jobs, investment, and economic diversification. It's also prompting tough questions about its massive electricity demand and water use. Former premier Alison Redford (3:15) and Sturgeon County Mayor Alanna Hnatiw (36:10) join us to unpack what it could mean for Alberta's economy, energy sector, and global reputation.  THIS EPISODE IS PRESENTED BY HANSEN DISTILLERY. ROOTED IN PRAIRIE GRIT AND A REBELLIOUS SPIRIT, HANSEN IS KNOWN FOR AUTHENTIC, SMALL-BATCH WHISKY AND OTHER SPIRITS CRAFTED WITH LOCAL ALBERTA INGREDIENTS. LEARN MORE: https://hansendistillery.com/ REAL TALK FEATURE INTERVIEWS ARE PRESENTED BY MERCEDES-BENZ EDMONTON WEST: https://www.mercedes-benz-edmontonwest.ca/ THE ALEX COMMUNITY HEALTH CENTRE: https://www.thealex.ca/ 1:03:40 | Real Talker Candace celebrates The Greatest Outdoor Show on Earth in this edition of Alberta Wins presented by Play Alberta.  AS THE EXCLUSIVE BETTING PARTNER OF THE CALGARY STAMPEDE, PLAY ALBERTA HAS PLENTY OF FUN SURPRISES IN STORE. KEEP AN EYE OUT FOR THE ACTIVATION TEAM FOR YOUR CHANCE TO WIN! MUST BE 18+ TO PLAY. IF YOU GAMBLE, USE YOUR GAMESENSE. LEARN MORE AT playalberta.ca/realtalk 1:06:30 | Singer-songwriter (and Jespo's longtime pal) JJ Shiplett tells us about his new album and documentary project All My Money on Red. Don't miss his performance of A Land Full of Giants (1:29:00)!  JOIN JJ'S RECORD CLUB: https://www.jjshiplett.com/ REAL TALK ROAD TRIP: CALGARY IS MADE POSSIBLE BY OUR FRIENDS AT THE NATIONAL MUSIC CENTRE: https://www.studiobell.ca/ TELL US WHAT YOU THINK: talk@ryanjespersen.com  SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

For most data leaders, governance feels like the thing standing between them and progress. Bharathi Rajan, Vice President of Digital, AI, and Data at Swire Coca-Cola, joins Cindi Howson to share how she built the data foundation powering a $3 billion supply chain operation. She breaks down how to turn data quality into a business accelerator, get ahead of demand signals, and build the foundation every AI initiative actually depends on. Key Moments: Building a Data Foundation Across a $3B Supply Chain (06:39): The starting point wasn't strategy. It was figuring out where the data was, who had it, and how to get it into the hands of actual decision-makers. Reframing Data Governance (10:22): Governance is the foundation that makes better decisions possible. Bharathi shares how education and relationship-building drove the mindset shift at Swire Coca-Cola. AI as an Enablement Factor (11:50): Bharathi reframes AI as a tool for operational efficiency and more impactful work, not a headcount threat. Building the Plant of the Future (14:41): A new $475 million Colorado facility gives Swire Coca-Cola a rare chance to design data and AI infrastructure from scratch. The Skills That Will Matter Most in an AI World (17:58): Bharathi breaks down what she tells young people and aspiring data leaders about building a career that AI can't replace. Key Quotes: “Governance is not red tape. It is important. If you want to make decisions with the right data, you need to have governance. You have to have that quality data flowing in.” - Bharathi Rajan “If you're passionate about something and then you know how to use technology to enable that, that makes the difference.” - Bharathi Rajan “AI, it's an enablement factor for us internally as to how can I help the enterprise really grow, create operational efficiencies, but also have people do more impactful work.” - Bharathi Rajan Mentions Swire Coca-Cola to Build $475 Million Bottling Plant in Colorado Springs, CO DataIQ100:  The most influential people in data and AI 2025 AI Women Power List Honorees The Let Them Theory by Mel Robbins Guest Bio Bharathi Rajan is a results-driven and experienced Chief Data Officer and AI strategist.  In her current role as Vice President Digital, AI & Data at Swire Coca-Cola, USA, Bharathi has saved multi-millions by adopting new tech stack and bringing in capabilities critical for Enterprise growth and performance. While consistently leading innovation and enabling AI & data literacy, Bharathi consecutively drives data and systems architecture confluence across the enterprise. Prior to joining Swire Coca-Cola, USA, Bharathi operated as a Senior Director of Operations in Data and Infrastructre for three years, focusing on Enterprise Reporting and Analysis (ERA), where she was specifically hired for her distinctive capabilities in data strategy, cloud migration, and creative efficiencies.  Bharathi is currently ranked #3 DataIQ100 North America for 2026. She has attended several panel discussions, in Emory University, Women in Tech, AI & Manufacturing and DataIQ. In 2026, Bharathi delivered a keynote on Data Leader as the Transformation Architect at the DataIQ summit. Additionally, Bharathi has spoken at various summits like Microsoft Ignite, Databricks, AI&Data summit and Snowflake summit over the years. Bharathi is also a mentor with WLDA Ventures and Women Tech Council. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

SUMMARY: While we spend a lot of time discussing AI models, we don't always spend enough time on the challenges of managing the unstructured data used to train, tune, and enable those models. SHOW: 1043SHOW TRANSCRIPT: The Enterprise AI Show #1043 TranscriptSHOW VIDEO: https://youtu.be/OAqnuhorMJ4SHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:Topic 1 - Welcome to the show. Tell us a bit about your background and where you focus today at NasuniTopic 2 - We've spent two years talking about models. Are we finally entering the era where the biggest differentiator is data quality rather than model quality?Topic 3 - When customers inventory their AI-ready data, what surprises them most?Topic 4 - Where is the intersection of file data, metadata, and RAG systems that augment a company's AI experience with their own data?Topic 5 - People talk about AI governance, but isn't most AI governance actually data governance?Topic 6 - Are today's enterprise file systems designed for machine consumers (AI Agents) instead of human consumers?Topic 7 - What are the economics of data, in your world, as it relates to AI?Topic 8 - What's next for enterprise file platforms?FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

As artificial intelligence expands at a historic pace, massive data centers are appearing across America — but what impact are they having on our communities, resources, and way of life? In this episode of The Tudor Dixon Podcast, Tudor sits down with Benji Backer, founder of Nature Is Nonpartisan and United by Nature, to discuss the growing concerns surrounding AI data centers, Big Tech’s influence, energy demand, water usage, and the future of conservation in America. Benji explains why the debate over the environment should not be divided by politics, why communities deserve a voice before major technology projects move in, and how America can balance innovation, national security, economic growth, and protecting natural resources. Tudor and Benji also dive into the deeper questions surrounding AI, online privacy, social media addiction, America’s relationship with technology, and why reconnecting with family, community, and nature may be more important than ever.See omnystudio.com/listener for privacy information.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the growing tension between businesses and software vendors, sparked by recent privacy policy changes at major platforms, and the fundamentals of AI data sovereignty. You will discover how to spot risky service rules before they impact your daily work. You will learn practical steps to evaluate whether building custom internal tools makes sense for your team. You will find out how to review agreement changes without getting lost in confusing language. You will gain confidence to protect your valuable information and keep full control of your digital assets. 00:00 – Introduction 01:45 – HubSpot triggers data sharing controversy 05:30 – The hidden costs of vendor lock-in 10:15 – Can AI replace expensive software subscriptions? 14:40 – Building custom tools in-house 19:20 – The importance of the 5P framework 24:10 – Reviewing service agreements quarterly 28:50 – Final thoughts and next steps 32:15 – Call to action Watch this episode to learn how you can take back control of your software and data today. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-is-ai-data-sovereignty.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about a very popular term these days which is data sovereignty, AKA owning your data and who owns your data. In the news recently, HubSpot made an announcement last week that caused a firestorm of commentary. Appropriately so when they said that to better improve HubSpot’s predictive abilities in your CRM, customers would be able to share data and see data from other HubSpot accounts to predict the likelihood of a certain type of sale closing. Now they did say that it would be something that you could opt into, although that was not super clear. And the terms of service were vague enough that if you were an eagle-eyed legal expert, which we are not, you could say, yeah, we’re going to do this regardless. LinkedIn exploded, threads exploded, Twitter exploded, and HubSpot walked it back over the weekend to say we screwed up. And to that credit they said we screwed up. We didn’t do our homework on this. We’re not going to make this terms of service change. However, there are still two consequences. One, folks have pointed out they didn’t say they weren’t going to implement the feature, they just said they’re not going to change the terms of service this way. And two, the big question that a lot of folks have is from a customer’s perspective, this was kind of a big deal in terms of violation of trust, which is a really important thing. And one commenter said it took HubSpot twenty years to build trust in four days to screw it up. Now again, to their credit, they did walk it back. But Katie, what’s your take on this, particularly as it relates to the integrity of our data? Because as we see these days more and more, every AI company is saying we need more data, so we’re just going to come in and take it well. Katie Robbert: And that’s always been the risk with using these software vendors is they can change things on a whim. And yeah, you can blow up social media and say I’m so mad at this. That doesn’t mean they have to do anything about it because guess who already has your data? Guess whose system you are already integrated to, guess whose system you have built connectors to and tapped into the API of, and you are building your whole business around. So the cost of switching is incredibly high and incredibly painful, and you’re not necessarily going to find a vendor that’s doing things any more ethically or doing things in a way that their governance aligns with what you want to see. Because again, to that comment, HubSpot spent twenty years building trust and then they decided to change it. I call BS on the we didn’t do our homework, we screwed up. Really. The size of company that you are, you don’t just change things on a whim. This is something that has likely been on your roadmap for a very long time. It was just a matter of trying to figure out how to do it in a way that you could sneak it in. But still, July fourth, holiday weekend. Well yeah, so there’s that. But legally, the language holds up. They worked with their lawyers, they worked with their IT department, they worked with whoever is involved in that change. It wasn’t an oopsie, we didn’t do our homework. No, I’ve worked in a large organization. I know how these things happen. There is no oopsie, we screwed up. You didn’t. You got caught, period. And your customers are angry. But guess who’s not going to stop being a customer anymore? Your customers. And they already got the data. Nowhere in that did they say and we’re going to repartition the data or we’re going to unshare the data. They were just like oopsies, you caught us. Okay, where is it? Oh, it’s over here. Here we go. That gets a red flag today. It gets a huge red flag because more and more, it’s Google adding AI into workspace conversation all over again. When my mother-in-law was here, she kept complaining about how Google was making suggestions in her Gmail. You can turn that off. Well, what if I need it? Then don’t complain about it. But Google made this change where it’s looking at all of your emails, it’s looking at all of your chat conversations, it’s looking at all of your stuff. Google has been looking at your web searches for however long web search has existed. On the one hand, I can understand the outrage of customers of a CRM saying I thought you were protecting my data. On the other hand, I’m a little surprised at people’s sort of naive perspective that our data was private in the first place. And I’m sort of like, so bad on the CRM, but also bad on the consumer for not being more informed that nothing is private. Like your Social Security number. It exists in a million places. People just haven’t decided that you’re the person that they want to steal the identity of. Maybe you’re not that interesting. I don’t know. Okay, I’m going to red flag myself. That was terrible. Red flag myself, sorry. Christopher S. Penn: It does raise the question, and this is something that vendors in particular have not thought a lot about. Generative AI in its current incarnation is best at software development. That is the number one task being used for. It is what is most skilled at, is what has been tuned the best for. Which means that if you are a SaaS provider, you are skating on very thin ice because you are one prompt away from a customer saying, screw it. I’m going to try vibe coding it myself. And whether or not that’s a good idea, we’ll put that aside because we’ve talked about that in the past. The reality is that with skilled use of these tools, you could say we’re just going to bring this in house. And we’ve done that. I’ve done that even on my personal blog, on my personal website. I said, you know what, I don’t want to pay for this plugin anymore. I’m just going to bring this in house and stop paying for this. And over time, you see the bills going down as you bring in more stuff in house because your AI tool that you built it with is also the AI tool you provide support to yourself with, so you don’t have to pay for the additional upkeep. One of the biggest moats that SaaS has always had was, hey, you don’t want to do server maintenance, you don’t want to do software maintenance, you don’t want to do any of that stuff. Pay a vendor to do it. Well, now it’s like I have basically a junior employee, right? Because we’ve talked about how tools like Claude Code basically are junior employees. I have a support resource. It may not be perfect, but it gets better every day. And so for marketers, for business folks, for folks who are looking at particularly operations folks, as you’re auditing your tech stack and as you’re seeing changes happen to your point, Katie, and vendors trying to cram AI into everything, the question has to become at what point do people start bringing things back in house, given the capabilities of what even a $20 a month AI subscription can do for you? Katie Robbert: I think for a lot of companies, that’s definitely something they’re thinking about. But you’re still talking about a whole suite of skills. You’re still talking about a software developer, you’re still talking about an IT person, you’re still talking about QA, a database architect. Sure, AI can do that stuff, provided you know how to tell IT what to do. And so for us, I would say you have some of those skills, but you do not encompass the skill sets of all four of those individuals. So I would be hesitant to say, sure, we can just have whatever you’ve built, manage it and get rid of this other vendor. We’re not there yet. I can see us getting there. Companies who have none of those skill sets because that’s not what they do. Think of perhaps a creative agency that really works on front-end design and branding. They don’t have the skill sets in house to do this. So even though AI can do a lot of those things, they still have to have someone to tell the AI what to do and stand it up and manage it. That data has to go somewhere. That data still has to be secure in some way. So you still need someone who understands database architecture, who understands servers. I hear what you’re saying and there is a reason why the majority of us turn to vendors like you, just handle it. Saying we can handle it ourselves in house is not as easy as it sounds like. Yeah, it’s an empty threat to the vendors. Especially if you’ve never stood up a server. You don’t know what goes into good data privacy. You are just vibe coding your own version of a CRM. That is a recipe for disaster and it’s likely going to lead to data leaks in some way of your most valuable data. So I hear what you’re saying, Chris. I think that a lot of companies are going to put that on their roadmap of what does it look like for us to build this in house for ourselves. I think that is more possible than it ever has been. But there’s still a lot of caveats with that. I’m saying to do it the right way, you need those skill sets. It doesn’t mean you can’t just go ahead and do it. Christopher S. Penn: It’s true. I do think there’s a space for consultancies and agencies to operate, particularly if you’re a hybrid agency where you have an IT consulting capability. I think, for example, IBM IX as one example, that’s a blend where that might be a realistic choice to say we have our trusted agency that we work with and we don’t like what we see. A HubSpot or Salesforce or whoever doing it, we don’t need it. John was at Salesforce Connections not too long ago and was saying that it’s Agentforce, everything is Agentforce and AI agents. And there are a lot of folks saying we don’t need that nor do we need to pay for that. We can take Sugar CRM, which is a free open source product, with our existing IT agency with the assistance of AI, with their help because they do know servers and they do know this. We’re going to stop paying Salesforce $3 million a year and instead pay our agency maybe $2 million a year to run it for us and save a million bucks a year. And we won’t have all this extra stuff that nobody asked for and that doesn’t fit their business case for it. And I think there is an opportunity in the marketplace for that. Katie Robbert: I agree. But let me counter with this question. You know, we have collectively put a lot of stock and time into these large language models. We’ve also seen instances where a company rolls back the large language model that they rolled out for a variety of reasons. What risk are we taking by then saying well, I’m going to fire the vendor, I’m going to build it myself because I have a large language model? And then tomorrow the large language model gets shut down. So you fired your vendor, you don’t have a large language model. What do you do? Is that a real risk? As someone who is very risk averse, I should be thinking about this in terms of business continuity planning. If you are tied into only working with one vendor, for example Anthropic, and as we saw in recent events the U.S. government said you can’t have that model in public, yes, that is a risk. Christopher S. Penn: However, if you are a multimodal aware company and you know where to find GLM 5.2, which we have through our Deep Infra subscription, and you know how to host models locally, which we’ve talked about in previous episodes of the podcast and the live stream, your risk is significantly reduced because you have more options. That’s what I learned from you, the more realistic options you have, the lower your risk because you have backup plans, you have backups to your backups. And if you are working in the AI space today and you have integrated AI and it is now a risk because your business is so dependent on it, you would better have those backup plans handy. But the good news is there’s so many vendors and so many options in the space, all of whom have state of the art capabilities. If Anthropic or OpenAI went away tomorrow, just flip to the next vendor with this model. Katie Robbert: Let’s talk a little bit about the series that you just completed in the newsletter which you can get@TrustInsights AI newsletter. You talked a lot about Enterprise AI. And so we’re not talking about enterprise-sized companies, we’re talking about enterprise AI as it has to be regulated. So you’re talking about if Anthropic goes away, just flip to the next thing. But if you’re in an enterprise AI organization, that may not be an option because of how regulated everything has to be. So can you speak a little bit to that? Christopher S. Penn: Yeah. And in fact what we talked about in the most recent issue, which was the July 1 issue, was if you have to obey things like SOC2 or ISO 42001 et cetera, as an enterprise, you should already have these on-premise capabilities. Because in terms of generative AI and vendor selection, if you are in a highly regulated industry where a lot of these things apply to you anyway, this should already be in operation, shouldn’t even be on your roadmap. It should be in operation. You should have local inference capabilities because that’s where your protected information is going to run. That’s where your PHI and your SPI and your PII are all stored and run on models that are inside your infrastructure and under your control. And no data leaves. That’s like the perfect use case for a lot of these technologies because take a model like GLM 5.2, it is an OPUS class model. It is very smart. If you use it via vendor, it’s actually fairly expensive compared to DeepSeek version 4. However, it’s still cheaper than Claude by a 10x. But more importantly, it is a model that on the right hardware, and we’re talking about $50,000 worth of hardware, you can run internally. Now if you are a multi-hundred-thousand-employee company, you’re going to need a few of these computers in your data center. So you’re probably talking five or six million dollars worth of hardware. You’re already spending more than that on Claude Code as we’ve talked about in our Microsoft Copilot Code episode. You’re going to spend that in two months. So you absolutely should have those capabilities internally already. And if you don’t, you are behind. I mean, there’s no polite way to say that. Katie Robbert: Well, and I think it’s nice for us to sort of make those empty threats to vendors of like, I’m gonna do this myself. And then you’re like, I have no idea how to do this. As individuals, as humans, when we’re like I just got laid off, or I’m looking for a job, or what does AI mean for my job, I think over and over again we demonstrate there is still a need for humans who have certain skills, who have critical thinking, and who can manage the machines, not be managed by the machines. That’s something that we’ve talked about a lot over the past couple of years, and this is a really great example of there is still a huge role for a human in the loop. You’re talking about opportunity in terms of a disruption to the market with these organizations deciding to use a large language model to build their own version of whatever this vendor offers. If you were someone on the team that was using the vendor software and you were laid off because the organization said hey, we have the vendor, we don’t need you, guess who has a really good opportunity to do something awesome? You can go and be like well, I know this vendor software inside and out. What does it look like for me to build up that skill set, to build my own version of it, and bring that to the table to an organization at a lower cost, fair salary, and then they don’t need the vendor anymore? Christopher S. Penn: Mm. Yep. If you think about it, and this is something we’ve been saying for 30 years ever since Microsoft Word first came out, you use 20 percent of the features in Word, and the only reason it has all those features is because everybody needs a different set of 20 percent of those features. A law firm has very different use cases for Microsoft Word than we do. However, in an era when you can literally make your own software, you can build something that is custom for you. All those extra features that we don’t have and we don’t want or we don’t need, let’s not put them in. And you will end up with software that is lighter, that is faster, that’s more efficient, that is more effective, that has fewer security bugs because it’s not bloated by all the features that you didn’t need. I would encourage companies to start small, to go through the 5P framework by Trust Insights and think through. Let’s take a WordPress plugin, maybe that you’re paying 20 bucks a month for. What does it do? How do you use it? Your purpose, who uses it? How does it work? What technologies does it rely on? And how do you know that it works? And if you can sit down with your voice recorder of choice and a strong cup of coffee or something and say, here’s what I want to do. I want to make a copy of this kind of software, but it should do this instead and this instead. Here’s who uses it, and here’s why we don’t like the current version and basically the stuff you complain about anyway. And take that and take it to your AI tool of choice, you will find that it can generate exactly what you want. And again, start small. A single plugin, a single utility. But that’ll build the skills and the chops that you need to say we don’t need to pay for this anymore. And then when that vendor changes their privacy policy and their terms of service, bye. Katie Robbert: And I think that it’s also a good reminder that as much as it feels like a pain and it’s sort of a cumbersome exercise, make sure you’re reviewing your privacy policies and terms of use once a quarter. Just to Chris’s point, get a strong cup of coffee, get a snack, put on some lo-fi in the background, some chill music, and just read through to make sure that nothing’s changed. And if something has changed, make sure you’re aware of what’s changed. Companies will say hey, we told you. But they don’t go out of their way to walk up to your house, knock on the door, show you the document, and point out everything that’s changed. They just put it out there. Christopher S. Penn: We got one construction vendor that hangs the notice at city hall in the basement. We followed the letter of the law. Katie Robbert: Yeah, legally, we did what you were supposed to do. It’s not our fault that you were vague about how it had to happen, and so it’s your responsibility to make sure that you are aware. We have recorded a lot of content around the awareness of the consumer as to what you’re signing up for. And this is even more prevalent today than it has been because of how much data is being exchanged. Data is the most coveted currency of all of these vendors. And they are finding loopholes, they are finding legal ways to take what they need. And to be quite honest, they’ve always owned the data. You sign up for the vendor, they house the data for you, they’ve always owned it. It’s the same story unfortunately of you’re renting from a landlord. Landlord can decide tomorrow, I want this building back. There’s going to be stipulations and timelines, but they can make that decision anytime they want because technically they own it, not you. Christopher S. Penn: Yep, this is a chicken farm now. Everybody out. And that is the legal reality. Katie Robbert: And so there’s two aspects to this data sovereignty, right? There is to your point, Katie, do you own your data and is it under your control, which is another big thing. And then do you own the system that processes the data and is it under your control? Christopher S. Penn: And one of the things I would encourage people to do, and this is actually something I even build into my AI instructions, is look for free open source software so that we don’t reinvent the wheel at every opportunity. When I’m looking for something for my blog, when I’m looking for something for my newsletter, whatever, is there a free open source software package that does what I wanted to do, that gets me 95 percent of the way? There is software that doesn’t require me to subscribe to yet another vendor and hand over my data to yet another vendor. And the answer increasingly is yes. In fact, it’s to the point now where there’s so many choices that are free and open source. Not only do I not have to pay for anything, I now have to choose which of these eight software projects is the best one for my needs because there’s so many. And do I want to customize it further for my use? Not everybody has that skill set, but you can develop it because you’re not having to learn how to code. You’re learning how to ask good questions and develop a good vocabulary. Katie, you could do this today using the 5P framework by Trust Insights. Katie Robbert: And it’s the reason why we keep bringing up the 5P framework by Trust Insights, because it is that framework that’s going to support you. It’s foundational. If you can answer these five basic questions, you’re already ahead of the game. When we talk about vibe coding, we want you to do this first. Don’t just open up a large language model and say I want to build my own CRM. Go, no, that’s a bad idea. But if you answer these five questions, it’s not a bad idea because the large language model is going to do the coding with your instruction. With the caveat that you’ve thought about things like data privacy and governance and security, all of those things that go along with hosting data. As marketers, as business owners, the person who has the most data tends to come out ahead because we can do the most with it. And that’s what these vendors are trying to sell you on. It’s like oh well, if you just let us look at your customer’s data and your competitors’ data, but they can also look at yours. Everybody wins, right? No, no, don’t do that. Would I love to take a look at some of my competitors’ data? Absolutely, but only in a very legal way. That also means they couldn’t look at my data. And that’s just not how that works. So you need to think about a couple of things. One is what is your level of risk aversion? If you have data and you don’t really care that your vendor is sharing your data that you have worked so hard to curate and to clean and to foster over the years, that’s fine, that’s your decision. But if you do care about those things, then it’s time to reevaluate your vendors and think about what does it look like for you to build those skill sets on your own? And it’s not impossible anymore. You have a lot of considerations. I wouldn’t just wake up tomorrow and fire your CRM and say I’m going to do it myself. Maybe give it a little more thought than that. But as you’re thinking about it, think about what does it look like? What does that long-term maintenance look like? Could I do this myself? Could I bring on a contractor to help me do this? Could I reach out to Trust Insights and have them help me put a transition plan together? The answer is yes, we could absolutely do that. But it’s worth thinking about. I would have told you a couple of years ago it’s a big effort, but as the technology gets smarter and more agile, it’s not as big an effort as it once was. It is possible. There’s more human upfront thinking that has to be done. But guess what? That’s what we’re here for. Christopher S. Penn: Exactly. Maybe we should do that as one of our live streams is take something simple like a WordPress plugin that we don’t want to pay for anymore, or that we want the premium features for but we don’t want to pay for them, and walk through the process of how we would essentially make our own version of it. Katie Robbert: It’s a good idea. Christopher S. Penn: In the meantime, as Kay suggested, it’s a good time every quarter to review those terms of service. Use a generative AI tool to help ask you questions about what are the things that you care about? And then have it help you read through the document. Don’t have it do it for you, but have it help you by asking good questions. And if you’ve got some thoughts you’d like to share about things like what’s happening with your data in the hands of your vendors and you want to share your experiences on Popeye or Free Slacker, go to TrustInsights AI Analytics for Marketers, where you and over 4,700 other marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on set, go to TrustInsights AI TI podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. Talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic, Claude, Dall-E, Midjourney, Stable Diffusion and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What live stream webinars and keynote speaking. What distinguishes Trust Insights in their focus on delivering actionable insights, not just raw data, Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

In this episode, Dr. Samuel Browd, pediatric neurosurgeon and Professor of Neurological Surgery at the University of Washington, Co-CEO & Chief Medical Officer at NeuFluent and co-Founder of the Foundation for Digital Neurosurgery, discusses how AI, data analytics, robotics, and brain-computer interfaces are reshaping neurosurgery. He shares insights on addressing workforce shortages, scaling specialized expertise, and why the next generation of surgeons will play a critical role in driving innovation across healthcare.

00:00 Intro1:02 Report: China Fueling Anti-AI Data Center Sentiment to Slow US Expansion2:33 Tibetan Man Dies After Self-Immolation Outside UN Headquarters3:27 Taiwan Drill Tests Readiness for China Invasion5:17 India and Japan Deepen Indo-Pacific Security Ties Amid China Tensions6:45 Faith and Freedom at America's 250th Anniversary 12:25 Matt Ridley: Here's What They Hid in Wuhan

The introduction of AI Data Centers in our Rural areas is the source of huge divsion. Troy Hetzenbilher is current Center, ND City Council member and on the Oliver County PLZ board. We find some level of agreement and much area of disagreement .

We all have a load to carry and we should use these power women from North Dakota as our example.

A data centre boom is underway that promises to help drive Australia's economic growth.  We're seen as a key location for the data centres that drive the latest AI technology.  But a lot of the revenue generated by the multinational big tech firms won't come anywhere near Australia, so should the taxpayers hosting the data centres get a bigger cut of the profits? Today, independent economist Saul Eslake on how we're cashing in on AI. Featured:  Saul Eslake, independent economist 

Recent Supreme Court rulings, resistance to an AI data center, federal limits on “forever chemicals,” and the public perception of UFOs. Plus, Daniel Darling on the anniversary of Mao's Cultural Revolution, competitive pogo sticking, and the Thursday morning newsSupport The World and Everything in It today at wng.org/donateAdditional support comes from Dordt University, where the MSN–Family Nurse Practitioner program prepares nurses for Christ-centered, family-focused care. Dordt.eduFrom Harbinger Tours, supporting Israel through luxury tours, with a November departure led by Marshall and Jessica Pennell. HarbingerTours.netAnd from Ridge Haven Camp and Retreat Centers in North Carolina and Iowa. Fall Registration now open at ridgehaven.org

Big Tech is looking for land to build its AI data centers. HBCUs are looking for new funding after federal cuts.And partnerships between them, like one announced by Fisk University, could be a mutually beneficial — or could end up being a form of "digital sharecropping," according to strategist Ashley Northington, who wrote about this for Tech Policy Press.

Big Tech is looking for land to build its AI data centers. HBCUs are looking for new funding after federal cuts.And partnerships between them, like one announced by Fisk University, could be a mutually beneficial — or could end up being a form of "digital sharecropping," according to strategist Ashley Northington, who wrote about this for Tech Policy Press.

Can organizations really call themselves AI-ready if their data foundations still have gaps? In this episode of Tech Talks Daily, I sit down with Dave Shuman, Chief Data Officer at Precisely, to discuss the findings from the company's latest State of Data Integrity and AI Readiness Report. Drawing on insights from more than 500 senior IT leaders across the US and Europe, Dave explains why many organizations are confident in their AI readiness while simultaneously identifying infrastructure, data quality, and governance as their biggest obstacles. Our conversation focuses on what Dave describes as the AI data integrity gap, the growing disconnect between ambitious AI initiatives and the quality, consistency, and context of the data powering them. We explore why successful AI projects often perform well in controlled pilot environments before struggling when deployed at scale, and why many organizations continue to underestimate the importance of data lineage, semantic layers, governance, and observability. Dave also shares why he believes data governance and AI governance should be treated as a single discipline rather than separate initiatives. We discuss how businesses can move beyond vanity metrics such as token usage and agent counts to focus on outcomes that genuinely matter, including revenue growth, cost reduction, customer experience, and risk management. As the conversation turns to the future of agentic AI, Dave offers a practical perspective on what autonomous systems will require of organizations and why trust in data will become increasingly important as AI assumes greater responsibility behind the scenes. If your organization is investing heavily in AI and looking for measurable business value, this episode offers a timely reminder that successful AI strategies begin long before the first model is deployed. They begin with data integrity. Based on Precisely's latest research, Dave explains why companies making progress are focusing less on the latest AI tools and more on laying the foundations that enable those tools to deliver reliable outcomes. What role does data integrity play in your organization's AI strategy, and are you confident your data is truly AI-ready?

Plus: Walmart buys French advertising tech firm, Vibe.co. And Tesla's European monthly sales bounce back. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when Big Tech joins with utilities companies — the ultimate monopoly — to negotiate secret power deals? The American consumer loses. I sit down sits with former Wisconsin Public Service Commissioner Dan Eastman to expose how Big Tech companies and utility monopolies are pushing unprecedented electricity demands onto America's aging power grid. Eastman explains why utilities are incentivized to overbuild power infrastructure, how taxpayers could be left holding the bag for billions in stranded assets, and why sudden data center disconnections could create dangerous grid reliability problems. We also discuss secret NDAs, local government approvals, transmission line expansions, land-grabs in rural America, and the growing alliance between Silicon Valley and regulated utility monopolies. None of this is free-market. Learn more about your ad choices. Visit megaphone.fm/adchoices