Podcasts about ai data

อุตสาหกรรมเซมิคอนดักเตอร์ (semiconductor industry) เป็นหนึ่งในเทคโนโลยีที่สำคัญที่สุดในโลก มีการพยากรณ์ว่าตลาดอุปกรณ์เซมิคอนดักเตอร์ทั่วโลกจะมีมูลค่าสูงถึง 70 ล้านล้านบาทในปี พ.ศ. 2575 ซึ่งถูกขับเคลื่อนด้วยการเติบโตอย่างต่อเนื่องของตลาดปัญญาประดิษฐ์ (AI) และศูนย์ข้อมูล (Data center), การสื่อสารแบบ 5G และ 6G, อุปกรณ์อิเล็กทรอนิกส์ส่วนบุคคล เช่น สมาร์ทโฟน คอมพิวเตอร์ แท็บเล็ต และสมาร์ทวอทช์, รถยนต์ไฟฟ้า (EV car) และระบบดิจิตอลในโรงงานอุตสาหกรรมสมัยใหม่ เป็นต้น แต่หลายคนอาจยังไม่รู้ว่าเซมิคอนดักเตอร์คืออะไร มีความสำคัญอย่างไร การสนทนานี้จะพาไปรู้จักเซมิคอนดักเตอร์ ตั้งแต่จุดเริ่มต้นของการวิจัยและพัฒนา รวมถึงองค์ประกอบต่าง ๆ และคำศัพท์สำคัญในอุตสาหกรรมนี้ ตลอดจนระบบนิเวศอุตสาหกรรมเซมิคอนดักเตอร์ในประเทศไทย และแนวโน้มการลงทุนสำหรับโรงงานผลิตชิป หรือ Wafer fab ในอนาคต ติดตามรับฟัง Podcast รายการ Sci เข้าหู ย้อนหลังได้ที่ https://www.nstda.or.th/sci2pub/podcast-sci-in-ear/  https://youtu.be/ZMXWttDPGHA

Yaki Faitelson is the co-founder and CEO at Varonis. In this episode, he joins host Amanda Glassner to discuss Varonis' AI-powered data security platform, including what CISOs across the industry are saying and whether their goalposts have shifted, as well as how cybersecurity teams of all sizes can address new threats, and more. This episode is brought to you by Varonis, whose AI-powered data security platform secures your data at scale – across IaaS, SaaS, and hybrid cloud environments. To learn more about our sponsor, visit https://Varonis.com.

On this episode of the Somewhat Frank Podcast, Frank Gruber (X and IG: @FrankGruber), John Guidos (IG: jgoodtimes83), and Simon Kahan (X: @simonkahan) explore the following topics:   Founders, investors, startup teams, entrepreneur support organizations (ESOs), and innovators, we invite you to join the Established Network, our digital hub where creativity, capital, and collaboration collide. https://established.network. As part of the Established Network, we also host the Monthly Innovation Circle, with some great featured speakers and we'll continue hosting these events on the third Thursday of every month. Sign up today at: est.us/TheMIC2025   Astronomers Detect Possible Signal of Life on a Distant Planet - Astronomers have detected a potential biosignature on exoplanet K2-18b, located approximately 120 light-years away in the constellation Leo   King's College Scientists' Lab-Grown Teeth Breakthrough - Researchers at King's College London have successfully grown fully functional teeth in laboratory settings, marking a significant advancement in regenerative dentistry.   Midwest Emerges as a Hub for AI Data Centers - The Midwest is experiencing a surge in data center construction, driven by the growing demand for AI and cloud computing services.   Fun With AI Generated Images - We have been testing ChatGPT's new viral image manipulation capabilities.    We also upload our episodes to YouTube in video format so you can see us now. Check it out on Established YouTube, where you can subscribe to get updates when we drop a new episode at: https://soty.link/ESTYouTube    As always, thank you for listening, and feel free to reach out and let us know what you think at: somewhatfrank@est.us 

Indiana's property tax reform plan would cost school districts more than $740 million across three years. The state Senate passed a bill on Tuesday that aims to secure power for AI data centers. Indiana Governor Mike Braun hosted U.S. Health and Human Services Secretary Robert F. Kennedy Jr. and Centers for Medicaid and Medicare Services Administrator Dr. Mehmet Oz on Tuesday – protestors gathered outside the event to express their dissatisfaction with the Make America Healthy Again movement. Want to go deeper on the stories you hear on WFYI News Now? Visit wfyi.org/news and follow us on social media to get comprehensive analysis and local news daily. Subscribe to WFYI News Now wherever you get your podcasts. WFYI News Now is produced by Drew Daudelin, Zach Bundy and Abriana Herron, with support from News Director Sarah Neal-Estes.

The AI revolution is charging ahead—but powering it shouldn't cost us the planet. That tension lies at the heart of Vaire Computing's bold proposition: rethinking the very logic that underpins silicon to make chips radically more energy efficient. Speaking on the Data Center Frontier Show podcast, Vaire CEO Rodolfo Rossini laid out a compelling case for why the next era of compute won't just be about scaling transistors—but reinventing the way they work. “Moore's Law is coming to an end, at least for classical CMOS,” Rossini said. “There are a number of potential architectures out there—quantum and photonics are the most well known. Our bet is that the future will look a lot like existing CMOS, but the logic will look very, very, very different.” That bet is reversible computing—a largely untapped architecture that promises major gains in energy efficiency by recovering energy lost during computation. Product, Not IP Unlike some chip startups focused on licensing intellectual property, Vaire is playing to win with full-stack product development. “Right now we're not really planning to license. We really want to build product,” Rossini emphasized. “It's very important today, especially from the point of view of the customer. It's not just the hardware—it's the hardware and software.” Rossini points to Nvidia's CUDA ecosystem as the gold standard for integrated hardware/software development. “The reason why Nvidia is so great is because they spent a decade perfecting their CUDA stack,” he said. “You can't really think of a chip company being purely a hardware company anymore. Better hardware is the ticket to the ball—and the software is how you get to dance.” A great metaphor for a company aiming to rewrite the playbook on compute logic. The Long Game: Reimagining Chips Without Breaking the System In an industry where even incremental change can take years to implement, Vaire Computing is taking a pragmatic approach to a deeply ambitious goal: reimagining chip architecture through reversible computing — but without forcing the rest of the computing stack to start over. “We call it the Near-Zero Energy Chip,” said Rossini. “And by that we mean a chip that operates at the lowest possible energy point compared to classical chips—one that dissipates the least amount of energy, and where you can reuse the software and the manufacturing supply chain.” That last point is crucial. Vaire isn't trying to uproot the hyperscale data center ecosystem — it's aiming to integrate into it. The company's XPU architecture is designed to deliver breakthrough efficiency while remaining compatible with existing tooling, manufacturing processes, and software paradigms.

Welcome to the award-winning FCPA Compliance Report, the longest-running podcast on compliance. In this episode, Tom welcomes Andrew Hopkins, President of PrivacyChain, to discuss the critical intersection of AI, data compliance, and data ownership. Andrew brings his expertise from years of consulting, focusing on outcome-driven business support, and provides a comprehensive overview of the challenges and opportunities in managing and securing data in the age of AI. The conversation delves into the complexities of data security, the inefficiencies of traditional data management systems, and the potential of new technologies to enhance data governance and personal data ownership. Listeners will gain valuable insights into navigating the evolving landscape of data management and the importance of contextual integrity in AI processes. Key highlights: The Intersection of AI, Data Compliance, and Ownership Challenges in Data Management and Compliance Data Governance Shortcomings of Current Data Management Systems Data Integrity and Context Resources: Andrew Hopkins on LinkedIn The Privacy Chain Tom Fox Instagram Facebook YouTube Twitter LinkedIn Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Trending in Education, host Mike Palmer interviews Emily Coleman, co-founder and CEO of HAI Analytics Inc, about the intersection of data science and higher education. Emily shares her journey from a PhD in Psychology and Statistics to founding HAI Analytics, highlighting her passion for using data to drive decision-making in higher education. They discuss the importance of predictive analytics, the challenges and opportunities for data implementation in higher education, and the skills needed for success in data science.   Key Takeaways: The evolution of AI and its applications in predictive analytics.   Challenges higher education institutions face in becoming more nimble and data-driven. Strategies for developing effective dashboards and data infrastructure.   The balance between leveraging data for insights and maintaining data security and privacy.   Essential skills and advice for aspiring data scientists.   Why You Shouldn't Miss This Episode: This conversation provides valuable insights for anyone interested in the role of data in shaping the future of higher education. Whether you're an educator, administrator, or data enthusiast, Emily's expertise offers a unique perspective on how institutions can harness the power of data to improve student outcomes, optimize resources, and navigate the evolving landscape of education. Subscribe to Trending in Ed wherever you get your podcasts. Visit us at TrendinginEd.com for more sharp takes on the future of education.

AP correspondent Mike Hempen reports a tech giant says it's slowing some of its data center projects.

# TEMA 

Tech stocks tried to make a comeback Tuesday led by AI names. We look at how Trump's tariffs could put a dent in plans for AI data center buildout.

In this episode, Chang She, CEO and Co-founder of LanceDB, discusses the challenges of handling multimodal data and how LanceDB provides a cutting-edge solution. He shares his journey from contributing to Pandas to building a database optimized for images, video, vectors, and subtitles.Highlights include:- The limitations of traditional storage systems like Parquet for multimodal AI.- How LanceDB enables efficient querying and processing of diverse data types.- The growing importance of multimodal AI in enterprise applications.- Future trends in AI, including a shift from single models to holistic AI systems.- Predictions and "spicy takes" on AI advancements in 2025.

Claude Zdanow, CEO of ONAR (Honor), shares his journey from pop-punk musician to public company leader, breaking down how his marketing tech firm leverages AI, data, and M&A to empower growth-stage businesses. In this episode, we talk branding, storytelling, public markets, and the gritty realities of scaling a company in today's digital-first economy.

Segment 1: Ilyce Glink, owner of Think Glink Media and Best Money Moves, joins John Williams to talk about the status of the economy right now, her thoughts on Friday’s labor report, the uncertainty over the markets and economy, if we are already in a recession, the wavering of the stock market, and the concern from people worried about their retirement […]

964: Caterpillar is celebrating 100 years of innovation—and it's just getting started. In this episode of Technovation, host Peter High welcomes Jamie Engstrom, CIO and SVP of IT at Caterpillar, to discuss how the industrial giant is evolving through data strategy, digital transformation, and customer-centric innovation. Jamie shares her insights on leading a global IT organization of 2,200 professionals, the company's customer-back mindset, and how Caterpillar leverages AI, telematics, and real-time analytics to support over 4 million assets across the globe. From smart manufacturing to supply chain modernization and condition monitoring systems, Jamie explores how Caterpillar is shaping the next century of industrial excellence.

Rich Fitzgerald calls in to talk about the huge news in Homer City.

About Dr. Shafiq Rab:Dr. Shafiq Rab is the Executive Vice President and Chief Digital Information Officer for Tufts Medicine. He leads the organization's digital transformation efforts and leverages technology to improve patient care and operational efficiency.About Suman Mishra:Suman Mishra is the Chief Technology Officer of Healthcare for GS Lab GAVS. He has extensive experience in healthcare technology and is passionate about using technology to solve complex challenges and improve healthcare outcomes.Things You'll Learn:AI, data, interoperability, communication, and transparency are key technologies and trends that will impact healthcare over the next five years.Strong governance, change management, and digital workforce development are essential for successful technology implementation in healthcare.Partnerships are crucial for healthcare organizations to drive innovation and improve patient care.Understanding patient needs and preferences is essential for creating a positive member experience.Healthcare organizations face significant economic pressures and must leverage technology and automation to improve efficiency and reduce costs.Resources:Connect with and follow Dr. Shafiq Rab on LinkedIn.Learn more about Tufts Medicine on their LinkedIn and website.Email Dr. Rab here and call him at +1 (609) 304-5342.Connect with and follow Suman Mishra on LinkedIn.Learn more about GS Lab GAVS on their LinkedIn and website.Email Suman directly here.

The Purdue men's basketball season came to an end late Friday night during the Sweet Sixteen round. FBI officials aren't saying why agents searched two homes belonging to an IU professor. A Senate committee passed a bill that aims to help ensure AI data centers coming into the state have the massive amount of power they need. Indiana U.S. congresswoman Victoria Spartz is the first representative from Indiana to attend a town hall after Speaker Mike Johnson advised GOP members to skip them – recent town halls have been contentious, and Spartz's was no different. Want to go deeper on the stories you hear on WFYI News Now? Visit wfyi.org/news and follow us on social media to get comprehensive analysis and local news daily. Subscribe to WFYI News Now wherever you get your podcasts. WFYI News Now is produced by Drew Daudelin, Zach Bundy and Abriana Herron, with support from News Director Sarah Neal-Estes.

Asher Genoot is the CEO of Hut 8 Corp, one of the leading companies when it comes to bitcoin mining and AI data centers. In this conversation he breaks down what the business is, why it's important, how they are thinking about deploying capital, how they are selecting the sites, and the difference between bitcoin mining and data centers.=======================BitcoinIRA: Buy, sell, and swap 75+ cryptocurrencies in your retirement account. Take 3 minutes to open your account & get connected to a team of IRA specialists that will guide you through every step of the process. Go to https://bitcoinira.com/pomp/ to earn up to $500 in rewards.=======================The future is being built today and the future of currency isn't dollars, euros, pounds, or yen, it's crypto. And Gemini thinks that's a great thing. Because a future where money is decentralized, inclusive, and globally accessible, that's a future that we are anxious to be a part of. Go where dollars won't. With Gemini. =======================Pomp writes a daily letter to over 265,000+ investors about business, technology, and finance. He breaks down complex topics into easy-to-understand language while sharing opinions on various aspects of each industry. You can subscribe at https://pomp.substack.com/=======================View 10k+ open startup jobs:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://dreamstartupjob.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Enroll in my Crypto Academy: https://www.thecryptoacademy.io/

Join Tom Shaughnessy as he hosts Ben Fielding, co-founder of Gensyn Network, for an in-depth exploration of decentralized AI infrastructure and the future of machine learning. From Gensyn's evolution as a low-level infrastructure platform to its revolutionary approach with RL Swarm, the conversation covers transformative developments in distributed computing, model training, and the philosophical implications of AI development.

Send us a textSubscribe to AG Dillon Pre-IPO Stock Research at agdillon.com/subscribe;- Wednesday = secondary market valuations, revenue multiples, performance, index fact sheets- Saturdays = pre-IPO news and insights, webinar replays00:00 - Intro00:07 - CoreWeave Prices IPO at $19B Valuation  01:18 - eToro Files for US IPO as Commissions Surge  02:07 - Crusoe Secures $225M to Expand AI Data Centers  03:15 - OpenAI Targets $29.4B in 2026 Revenue05:43 - Databricks and Anthropic Strike Enterprise AI Deal  06:39 - Flexport Misses Profit Target, Remains at $8B Valuation  07:43 - Starlink Signs Distribution Deals in India  

Highlights from this week's conversation include:AI in Transcription Services (1:11)The Future of AI Companies (5:09)Potential Risks of AI Tools (8:57)Learning vs. Dependency in Programming (10:17)The Journey of a Data Analyst (12:07)AI and Coding Skills (14:06)Abstraction in Data Tools (16:59)Data Design and AI (19:07)User Experience vs. AI Automation (22:10)AGI and Data Mesh (24:36)Blank Screen Interaction Challenges (27:10)Understanding User Value in Data Platforms (32:22)AI's Role in Simplifying Data Interaction (34:04)Final Thought and Takeaways (35:05)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

For this episode of the DCF Show podcast, host Matt Vincent, Editor in Chief of Data Center Frontier, is joined by Santiago Suinaga, CEO of Infrastructure Masons (iMasons), to explore the urgent challenges of scaling data center construction while maintaining sustainability commitments, among other pertinent industry topics. The AI Race and Responsible Construction "Balancing scale and sustainability is key because the AI race is real," Suinaga emphasizes. "Forecasted capacities have skyrocketed to meet AI demand. Hyperscale end users and data center developers are deploying high volumes to secure capacity in an increasingly constrained global market." This surge in demand pressures the industry to build faster than ever before. Yet, as Suinaga notes, speed and sustainability must go hand in hand. "The industry must embrace a build fast, build smart mentality. Leveraging digital twin technology, AI-driven design optimization, and circular economy principles is critical." Sustainability, he argues, should be embedded at every stage of new builds, from integrating low-carbon materials to optimizing energy efficiency from the outset. "We can't afford to compromise sustainability for speed. Instead, we must integrate renewable energy sources and partner with local governments, utilities, and energy providers to accelerate responsible construction." A key example of this thinking is peak shaving—using redundant infrastructure and idle capacities to power the grid when data center demand is low. "99.99% of the time, this excess capacity can support local communities, while ensuring the data center retains prioritized energy supply when needed." Addressing Embodied Carbon and Supply Chain Accountability Decarbonization is a cornerstone of iMasons' efforts, particularly through the iMasons Climate Accord. Suinaga highlights the importance of tackling embodied carbon—the emissions embedded in data center construction materials and IT hardware. "We need standardized reporting metrics and supplier accountability to drive meaningful change," he says. "Greater transparency across the supply chain can be achieved through carbon labeling of materials and stricter procurement policies." To mitigate embodied emissions, companies should prioritize suppliers with validated Environmental Product Declarations (EPDs) and invest in low-carbon alternatives like green concrete and recycled steel. "Collaboration across the industry will be essential to drive policy incentives for greener supply chains," Suinaga asserts. The Role of Modular and Prefabricated Builds As the industry seeks more efficient construction methods, modular and prefabricated builds are emerging as game changers. "They significantly reduce construction waste, improve quality control, and shorten deployment times," Suinaga explains. "By shifting a large portion of the build process to controlled environments, we can improve worker safety and optimize material usage. Companies leveraging prefabrication will gain a competitive edge in both cost savings and sustainability." Modular construction also presents financial advantages. "It allows for deferred CapEx investments, creating attractive internal rates of return (IRRs) for investors while reducing the risk of oversupply by aligning capacity with demand," Suinaga notes. However, he acknowledges that the approach has challenges, including potential supply chain constraints and quick time-to-market pressures during demand spikes. "Maintaining a recurrent production cycle and closely monitoring market conditions are key to ensuring capacity planning aligns with real-time needs." Innovation in Cooling and Water Use With AI workloads driving increasing power densities, the industry is rapidly shifting toward liquid cooling, immersion cooling, and heat reuse strategies. "We're seeing innovations in direct-to-chip cooling and closed-loop water systems that significantly reduce water consumption," Suinaga says. "Some data centers are capturing and repurposing waste heat to provide energy to nearby facilities—an approach that needs to be scaled." Immersion cooling, he adds, offers the potential to shrink data center footprints and dramatically improve Power Usage Effectiveness (PUE). "A hybrid approach combining air and liquid cooling is key," Suinaga explains. "There's still uncertainty around the right mix of technologies, as hyperscalers need to support not just AI but also continued cloud growth. Flexibility in cooling design is now essential to accommodate a diverse range of workloads." Regulatory Pressures and the Future of Sustainability Standards Regulatory frameworks such as the SEC's climate disclosure rules and Europe's Corporate Sustainability Reporting Directive (CSRD) are pushing data center operators toward greater transparency. Suinaga believes these measures will enforce more accurate sustainability reporting and drive greener investment decisions. "This will push data center operators to adopt more energy-efficient designs early in the planning phase and, in the long term, standardize carbon reporting and create incentives for sustainable practices," he explains. He also highlights the role of investors and publicly traded companies in enforcing stricter climate reporting requirements across their portfolios. "At iMasons, we are refining existing reporting benchmarks and frameworks to provide the industry with a holistic view of best practices. This is an area where we aim to support data center operators with an analytical approach." The Road to Net Zero: Overcoming Challenges Despite ambitious net zero goals, execution remains a significant challenge. "The biggest roadblock to net zero is the availability of truly carbon-free energy and materials at scale," Suinaga states. Achieving net zero requires substantial investment in renewable infrastructure, grid connectivity improvements, and energy storage innovation. To accelerate progress, he emphasizes the importance of adopting circular economy practices, advocating for renewable energy policy support, and investing in next-generation cooling and power technologies. "The demand from AI is outpacing current power infrastructure and renewable options. While some net zero commitments may be delayed, investing in new technologies and clean energy solutions will ultimately put us back on the path to net zero." Workforce Development and Addressing the Talent Shortage The digital infrastructure industry has long faced a talent shortage, which has only become more urgent as demand increases. To help address this challenge, iMasons has launched a new job-matching platform. "It's designed to bridge the talent gap by connecting skilled professionals with opportunities in digital infrastructure," Suinaga explains. "For job seekers, it's free to use, providing a streamlined way to match with job listings based on skills, experience, and location." For employers, iMasons partners gain access to the platform to find vetted candidates efficiently. "At the pace this industry is growing, the current workforce isn't enough—we need to bring in talent from other industries and create new career pathways. Digital infrastructure is recession-proof and offers tremendous opportunities for growth." Industry Partnerships Driving Innovation iMasons has been expanding its partnerships, adding 15 new partners in recent months. "We've welcomed companies from various backgrounds, including AI-driven construction management firms, energy-related companies, and cooling solution providers," Suinaga shares. "iMasons is a hub for industry collaboration, helping to drive innovation across the entire digital infrastructure ecosystem. Our mission is simple: to ensure the industry thrives." Looking Ahead As AI accelerates the demand for digital infrastructure, the industry must embrace innovative, responsible strategies to balance scale with sustainability. iMasons, alongside major players in the sector, is committed to ensuring the next generation of data centers are not just fast to deploy but also environmentally responsible.

In this episode of KP Unpacked, host Jeff Echols sits down with Robert Cooper (CEO of Imbue) and Abhi Sastri (CEO of Fluix) to break down one of the most pressing challenges facing the built environment: How do we meet the surging energy demands of data centers, buildings, and critical infrastructure before nuclear and hydrogen power are viable?Based on KP Reddy's Sunday Scaries post, they explore:

In this episode of The Greenbook Podcast, host Lenny Murphy sits down with Deb, Director of Data Science at Sigmoid Analytics and a 2025 Greenbook Future List Honoree. Deb shares insights into solving complex data challenges, the evolving role of Gen AI in analytics, and how companies are integrating AI-driven efficiencies. They discuss the future of data science, the shift towards strategic problem-solving, and the importance of upskilling talent in an AI-powered world. Tune in for a thought-provoking discussion on how organizations are embracing AI while navigating unknowns in the industry.Key Takeaways:AI is revolutionizing data analytics, but strategic thinking and human expertise remain essential.Organizations must embrace unknowns and invest in future-proof AI strategies.The industry is shifting from traditional statistical models to AI-driven insights with LLMs and automation.The future of analytics will prioritize business impact over technical complexity.Developing strong problem-solving skills is critical for the next generation of data scientists.Resources & Links:Learn more about Sigmoid AnalyticsYou can reach out to Debapriya Das on LinkedIn.Many thanks to Debapriya Das for being our guest. Thanks also to our production team and our editor at Big Bad Audio.

00:00 Intro3:55 Fitness test for GTMOps30:13 Should you attend in-person conferences?37:33 Tools for AI data NormalizationHear more from us:Subscribe to us on Youtube: https://www.youtube.com/channel/UCN-x5u0G03LWmU0Ds_4zR8wSubscribe to our newsletter here: https://www.cs2marketing.com/revenue-growth-architects#subscribe-to-newsletterFollow Crissy on LinkedIn: https://www.linkedin.com/in/crveteresaunders/Follow Charlie on LinkedIn: https://www.linkedin.com/in/charliesaunders/Follow Xander on LinkedIn: https://www.linkedin.com/in/xanderbroeffle/

Kevin Bonfield is the Founder and Managing Partner of Concentre, a boutique consultancy partnering with mid-market, private equity-backed companies to propel growth, accelerate exits, and maximize returns. With over 20 years of management consulting, business development, and operations experience, he has advised clients, including Southwest Airlines and Tesla. Kevin is also the Co-owner of EcoClean Austin, an award-winning, environmentally friendly dry cleaner, and is a member of EO Dallas. In this episode: Some businesses face bottlenecks in their operations when scaling, like process inefficiencies and unstructured data. Without effective systems, growth can lead to increased costs rather than improved profitability. How can companies streamline operations, leverage data effectively, and integrate AI without creating more complexity? Business consultant Kevin Bonfield recommends establishing clear processes before automating, ensuring businesses capture and use data effectively. Companies should identify existing data in systems such as call center software before aligning it with their desired business outcomes. To improve process efficiency, you can also implement structured metrics like service level agreements (SLAs) and key performance indicators (KPIs). In this episode of Systems Simplified, Adi Klevit interviews Kevin Bonfield, Founder and Managing Partner at Concentre, about leveraging AI, data, and processes for business growth. Kevin explains how structured processes drive operational efficiency, the right way to integrate automation, and the role of data in decision-making.

The modular data center industry is undergoing a seismic shift in the age of AI, and few are as deeply embedded in this transformation as Andrew Lindsey, Co-Founder and CEO of Flexnode. In a recent episode of the Data Center Frontier Show podcast, Lindsey joined DCF Editor-in-Chief Matt Vincent and Senior Editor David Chernicoff to discuss the evolution of modular and edge data centers, the growing demand for high-density liquid-cooled solutions, and the industry factors driving this momentum. A Background Rooted in Innovation Lindsey's career has been defined by the intersection of technology and the built environment. Prior to launching Flexnode, he worked at Alpha Corporation, a top 100 engineering and construction management firm founded by his father in 1979. His early career involved spearheading technology adoption within the firm, with a focus on high-security infrastructure for both government and private clients. Recognizing a massive opportunity in the data center space, Lindsey saw a need for an innovative approach to infrastructure deployment. "The construction industry is relatively uninnovative," he explained, citing a McKinsey study that ranked construction as the second least-digitized industry—just above fishing and wildlife, which remains deliberately undigitized. Given the billions of square feet of data center infrastructure required in a relatively short timeframe, Lindsey set out to streamline and modernize the process. Founded four years ago, Flexnode delivers modular data centers with a fully integrated approach, handling everything from site selection to design, engineering, manufacturing, deployment, operations, and even end-of-life decommissioning. Their core mission is to provide an "easy button" for high-density computing solutions, including cloud and dedicated GPU infrastructure, allowing faster and more efficient deployment of modular data centers. The Rising Momentum for Modular Data Centers As Vincent noted, Data Center Frontier has closely tracked the increasing traction of modular infrastructure. Lindsey has been at the forefront of this shift, witnessing the market evolve significantly over the last five years. "Five years ago, we were looking at a graveyard of modular data center companies that leaned heavily on the edge," Lindsey recalled. Many early modular providers focused on latency-sensitive, interconnected solutions—such as base stations at 5G tower sites. However, the market proved premature, hindered by high costs and the scale of deployment within the telecommunications industry. Now, macroeconomic and technological factors have driven a fundamental shift toward modular data centers. One of the most significant drivers is the rapid evolution of chip design. "A traditional data center design cycle can take a year or 18 months," Lindsey explained. "But if we see radical Nvidia chip advancements every 12 months, your design could be obsolete before you even break ground." The need for embedded flexibility within data center design has made modular solutions an ideal fit. Labor Scarcity and the Need for Efficiency Another factor accelerating the adoption of modular infrastructure is the labor shortage in construction. "There just aren't enough people today to build the scale of infrastructure needed for data centers," Lindsey noted. Compounding the issue is an aging workforce, with many skilled professionals nearing retirement. "When they leave, they take decades of institutional knowledge with them." Modular construction mitigates this problem by shifting labor-intensive processes to manufacturing environments where technical expertise is concentrated. By centralizing production, modular providers can reduce reliance on dispersed construction labor while maintaining high precision and efficiency. Liquid Cooling and the Future of High-Density Deployments Flexnode is also a leader in the adoption of high-density liquid-cooled infrastructure. Lindsey attended the CoolerChips event last year and has been vocal about the advantages of liquid cooling for modern workloads. "More recently, modular is everywhere," he said. "We at Flexnode are seeing demand hand over fist for high-density liquid-cooled systems that integrate seamlessly with broader building designs." This demand underscores the shift from the speculative modular edge deployments of five years ago to today's high-performance, flexible data center solutions. "Modular is no longer just a niche," Lindsey concluded. "It's a critical strategy for meeting the growing demand for scalable, high-efficiency data center capacity." The realization that liquid cooling would become a building-wide challenge, rather than just an IT challenge, was a pivotal moment for Flexnode. "Four years ago, we recognized that liquid cooling, which had been around for 10 to 15 years in government and research, was now commercially viable. But very few data centers were truly equipped to deploy it to its full potential," Lindsey explained. Flexnode identified an opportunity to deliver integrated liquid-cooled modules that connect IT systems to building infrastructure through a fully embedded design. Rather than developing proprietary liquid cooling technology, Flexnode focuses on being "liquid neutral." "The liquid cooling market is advancing well on its own," Lindsey said. "We want to enable OEM-driven solutions like JetCool, Motivair, Isotope, and ZutaCore, ensuring they perform optimally in an environment designed to support them." Flexnode operates at the building scale, working on innovative heat management strategies that eliminate the need for external heat rejection. "We integrate heat rejection into the panelized construction of our modular data centers," Lindsey explained. This approach pushes forward a broader, integrated building design suited for liquid cooling. The Shift Toward Hybrid and Two-Phase Liquid Cooling David Chernicoff asked Lindsey whether Flexnode leans toward specific liquid cooling methodologies, such as waterless, multi-phase, or single-phase solutions. Lindsey responded that their focus aligns with OEM and ODM preferences. "Right now, we're primarily working with direct-to-chip water-based single-phase cooling," Lindsey said. "But as part of our work with the Cooler Chips program, we're also developing a hybrid immersion approach with Isotope." This hybrid method integrates both direct-to-chip and immersion cooling. The industry is currently debating whether to move to a single-phase hybrid approach or leapfrog directly to two-phase cooling. "The big challenge with two-phase is the environmental impact of certain chemicals used in the process," Lindsey noted. While companies are actively working to address these concerns, two-phase cooling remains a complex consideration. Even Nvidia is leaning toward a two-phase future. "From what we've heard at CoolerChips, Nvidia sees the next generation as being two-phase oriented," Lindsey said. "But they can speak better to that." With liquid cooling now firmly part of the mainstream conversation, the challenge is not just about advancing the technology but also ensuring that the surrounding infrastructure evolves to support it. Flexnode's approach—integrating liquid cooling at the building level—positions them at the leading edge of this shift. Customer Demands Drive Cooling Technology Choices As the industry evolves, cooling technology decisions are increasingly shaped by customer preferences. "Right now, it's very much customer-driven for us," Lindsey explained. "We're working with sophisticated customers—hyperscalers and GPU-as-a-service providers—who already know what they want to deploy." While some enterprises may still be evaluating their liquid cooling options, hyperscalers are looking beyond traditional single-phase approaches, including both dielectric and water-based cooling. However, Lindsey emphasized that many of these developments remain in the R&D phase. "We don't typically recommend one technology over another unless there's a clear drawback," he said. One challenge with direct-to-chip cooling, for example, is achieving full heat absorption into the liquid. "That's where hybrid approaches come in," Lindsey noted. He described hybrid designs that integrate both two-phase direct-to-chip cooling and immersion cooling, as seen in the CoolerChips program. "In some cases, direct-to-chip is single-phase, in others, it's two-phase. We're working as a category B provider, helping integrate these technologies at the building level." Lindsey also touched on sustainability concerns, particularly around immersion cooling. "Immersion is seen as the most sustainable in terms of energy efficiency, but there are still questions about how immersion fluids impact server longevity over time," he said. Factors like glue degradation and cable insulation breakdown raise questions about immersion cooling's long-term sustainability profile. Two-phase cooling also presents challenges. "There's an ongoing discussion about PFAS and finding non-toxic, non-carcinogenic alternatives," Lindsey explained. "Beyond that, two-phase cooling can create cavitational forces that affect motherboard and chip integrity over time. That's why many in the industry—including Nvidia—are still weighing the trade-offs." With liquid cooling now firmly in the mainstream, the industry's next challenge is integrating these technologies seamlessly into modular data centers. "It's not just about cooling IT gear anymore; it's about designing buildings that fully support liquid cooling at scale," Lindsey concluded. Flexnode's modular approach positions them at the forefront of this transformation. Modular Configurations and Integrated Power Solutions Finally, Flexnode's modular approach offers extreme configurability. "Our modules can be standalone data centers or integrated into powered shell facilities," Lindsey explained. "We configure everything from 2 MW to 20 MW standalone deployments, and we can scale up to 200 MW campuses." Beyond footprint flexibility, power integration is a growing focus. "On-prem generation is gaining traction, particularly with fuel-agnostic generators that can switch between natural gas, hydrogen, methane, and propane," Lindsey noted. Collaborating with partners like Hyliion, Flexnode is exploring adaptable power solutions, including fuel cells. Being behind the meter is another key driver. "Utilities are getting smarter about power allocation," Lindsey said. "In Europe, data centers are facing use-it-or-lose-it policies, and in the U.S., regions like Ohio are imposing tariffs on unused capacity." On-site power generation provides greater flexibility, helping data centers scale more efficiently and participate in curtailment programs that balance grid demand. Looking Ahead As modular data centers become a core part of the industry landscape, Flexnode is pushing the boundaries of what's possible. "We see modular as a natural extension of utilities—a distributed solution that enhances flexibility," Lindsey concluded. "And we're just getting started."

In this episode of the Global Risk Community Chat, we discussed protecting AI data, key risks, and effective solutions with Jason Rogers, CEO of Invary. Jason, who brings deep expertise in ensuring runtime integrity and confidentiality of systems using NSA-licensed technology, shared insights on safeguarding AI data, including training data, metadata, and inference data, from tampering, theft, and accidental manipulation.  This conversation explored critical strategies like confidential computing, encryption in use, and runtime attestation to enhance data security and mitigate risks. If you want to be our guest or suggest someone for the show, send your email to info@globalriskconsult.com with the subject line "Guest Proposal." Join us in diving into the essentials of risk management, cyber security, and AI lifecycle security with top industry leaders and experts. Stay informed and protect your organization's valuable data effectively.

Guest post by John Tallon, Practice Director of AI & Data and Modern Apps and M365 Productivity, Storm Technology Evolving from generating content to executing actions, from supporting innovation to driving competition, from being a passive enabler to an active differentiator - we are living and working in an age of AI transformation and its impact is felt by each person and every organisation. No matter the size of the company, the sector in which you work, where you are based or what department you look at, AI is changing how businesses operate. With a 2024 Storm Technology survey revealing that well over half (59%) of IT leaders think their company needs to adopt AI to be competitive over the next three years, it is viewed as a catalyst for success. But while the building blocks of our AI future are already being stacked high, many businesses lack the right foundations. Those foundations consist of high-quality, well-managed data. Worst enemy With data being the key to unlocking AI potential and ensuring a return on investment, every journey must start there. Before a company even thinks about what AI solutions it would benefit from, it needs to look at the information at its disposal and the state that data is in. Having inaccurate, incomplete or unorganised data means AI tools will lack contextual data to reason over and ultimately fail to deliver real and meaningful value to your business. To avoid this, you need to have not only good-quality information but well-prepared, well-managed data. Such insights need to be accessible, complete and devoid of errors. That means removing any gaps, duplicates or inconsistencies, while labelling and organising data properly. It also means securing information and, where relevant, updating datasets. As part of this process, companies should also identify which datasets are actually suitable and valuable for the application of AI. Best practice As well as data management, data governance is also critical, not only in terms of AI success but security. Without the right frameworks, AI platforms may be vulnerable to attack or manipulation. Again, as with subpar data, ineffective governance could create biases and ethical issues which stifle AI effectiveness and success. Moreover, this age of heightened innovation is also a time of heightened regulation. For instance, regulations such as NIS2 have placed a whole new range of requirements on both private and public entities. And with such regulations continuing to evolve, compliance is more than just a box to check for growing organisations; it's a business imperative. Regardless of whether NIS2 applies to you or not, every company leveraging AI must put tools and processes in place to uphold compliance and avoid the reputational and financial risks associated with inadequate governance. Alongside legislative requirements, this approach also ensures that best practices are upheld within the organisation and teams are deploying AI not just productively and proactively but responsibly. By deploying best practices when it comes to data, businesses can help to ensure AI efficacy and value, whilst securing information and upholding compliance. AI enables companies to work smarter today - from automating tasks and supporting productivity to predicting customer behaviours and managing projects - and achieve long-term business objectives. Without a doubt, AI has the power to take a company to new heights, but to realise the full benefit, they must put data first. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your...

Kuok Meng Wei, whose grandfather was once called the world's shrewdest businessman by Forbes, is leading his family into what the 41-year-old describes as the hottest industry in decades. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How much electric power will AI need in the years ahead? How can that demand be met cheaply and sustainably? What can we learn from projections of data center power demand over the past several decades? How can AI contribute to meeting clean energy goals? Join host David Sandalow in a lively conversation with Michael Liebreich, founder of New Energy Finance, on these topics and more. AI, Energy and Climate is a special series from the DSR Network sponsored by NEDO and hosted by David Sandalow, Inaugural Fellow at Columbia University's Center on Global Energy Policy. AI for Climate Change Mitigation Roadmap -- https://www.icef.go.jp/roadmap and transitiondigital.org/ai-climate-roadmap.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Patrick McKenzie (patio11) is joined by Azeem Azhar, writer of the Exponential View newsletter, to discuss the massive data center buildout powering AI and its implications for our energy infrastructure. The conversation covers the physical limitations of modern datacenters, the challenges of electricity generation, the societal ripples from historical largescale infrastructure investments like railways and telecommunications, and the future of energy including solar, nuclear and geothermal power. Through their discussion, Patrick and Azeem explain why our mental models for both computing and energy systems need to be updated.–Full transcript available here: www.complexsystemspodcast.com/ai-llm-data-center-power-economics/–Sponsors:  Safebase | CheckReady to save time and close deals faster? Inbound security reviews shouldn't slow down your team or your sales cycle. Leading companies use SafeBase to eliminate up to 98% of inbound security questionnaires, automate workflows, and accelerate pipeline. Go to safebase.io/podcast Check is the leading payroll infrastructure provider and pioneer of embedded payroll. Check makes it easy for any SaaS platform to build a payroll business, and already powers 60+ popular platforms. Head to checkhq.com/complex and tell them patio11 sent you.–Recommended in this episode:Azeem's newsletter: https://www.exponentialview.co/ Azeem Azhar's guest essay: The 19th-Century Technology That Threatens A.I. https://www.nytimes.com/2024/12/28/opinion/ai-electricity-power-plants.htmlElectric Twin: https://www.electrictwin.com/ Video of Elon Musk's Colossus https://www.youtube.com/watch?v=Tw696JVSxJQ Complex Systems with Travis Dauwalter on the electrical grid: https://open.spotify.com/episode/5JY8e84sEXmHFlc8IR2kRb?si=35ymIC0UQ5SKdV8rrBcgIw Complex Systems with Austin Vernon on fracking: https://open.spotify.com/episode/0YDV1XyjUCM2RtuTcBGYH9?si=YshjUXPEQBiScNxrNaI-Gw Complex Systems with Casey Handmer on direct capture of CO2 to turn into hydrocarbon: https://open.spotify.com/episode/0GHegWgLSubYxvATmbWhQu?si=xNYBjn0ZTX2IT_pAZ5Ozsg –Twitter:@azeem@patio11–Timestamps:(00:00) Intro (00:27) The power economics of data centers(01:12) Historical infrastructure rollouts(04:58) The telecoms bubble (06:22) Unprecedented enterprise spend on AI capabilities(11:12) Let's have your LLM talk to my LLM(16:44) Is there a saturation point?(19:25) Sponsors: Safebase | Check(21:55) What's in a data center?(24:52) The challenges of data centers(29:40) Geographical considerations for data centers(36:53) Energy consumption and future needs(40:48) Challenges in building transmission lines(41:35) The solar power learning curve(43:51) Small modular nuclear reactors(51:26) Geothermal energy and fracking(01:01:34) The future of AI and energy systems(01:12:57) Wrap

How much electric power will AI need in the years ahead? How can that demand be met cheaply and sustainably? What can we learn from projections of data center power demand over the past several decades? How can AI contribute to meeting clean energy goals? Join host David Sandalow in a lively conversation with Michael Liebreich, founder of New Energy Finance, on these topics and more. AI, Energy and Climate is a special series from the DSR Network sponsored by NEDO and hosted by David Sandalow, Inaugural Fellow at Columbia University's Center on Global Energy Policy. AI for Climate Change Mitigation Roadmap -- https://www.icef.go.jp/roadmap and transitiondigital.org/ai-climate-roadmap.  Learn more about your ad choices. Visit megaphone.fm/adchoices

P.M. Edition for Feb. 26. As new data centers to power artificial intelligence pop up across the U.S., tech leaders and politicians have promised a hiring bonanza. But as WSJ reporter Tom Dotan tells us, the number of jobs created in the long term is often more modest. Plus, President Trump's proposed tariffs are driving a wedge through the aluminum industry. Journal manufacturing and metals reporter Bob Tita discusses who is for and against the new tariffs, and the impact they would have on the industry. Plus, reporter Katherine Clarke talks about the newest category of the ultra-rich: the superbillionaire. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Power demands for artificial intelligence will soar and the big tech giants are exploring hydrogen and nuclear energy solutions. Today's Stocks & Topics: GILD - Gilead Sciences Inc., Market Wrap, SBIT - ProShares UltraShort Bitcoin ETF, Big Tech Embraces Hydrogen and Nuclear Power for AI Data Centers, SII - Sprott Inc., Quantitative Analysis, NVR - NVR Inc., Economic News, Defense Spending, Investing a Million Dollars, BKIE - BNY Mellon International Equity ETF., Best Performing Sectors.Our Sponsors:* Check out Fabric: https://fabric.com/INVESTTALK* Check out Kinsta: https://kinsta.com* Check out Trust & Will: https://trustandwill.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

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

On this episode of Crazy Wisdom, host Stewart Alsop speaks with Ivan Vendrov for a deep and thought-provoking conversation covering AI, intelligence, societal shifts, and the future of human-machine interaction. They explore the "bitter lesson" of AI—that scale and compute ultimately win—while discussing whether progress is stalling and what bottlenecks remain. The conversation expands into technology's impact on democracy, the centralization of power, the shifting role of the state, and even the mythology needed to make sense of our accelerating world. You can find more of Ivan's work at nothinghuman.substack.com or follow him on Twitter at @IvanVendrov.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Setting00:21 The Bitter Lesson in AI02:03 Challenges in AI Data and Infrastructure04:03 The Role of User Experience in AI Adoption08:47 Evaluating Intelligence and Divergent Thinking10:09 The Future of AI and Society18:01 The Role of Big Tech in AI Development24:59 Humanism and the Future of Intelligence29:27 Exploring Kafka and Tolkien's Relevance29:50 Tolkien's Insights on Machine Intelligence30:06 Samuel Butler and Machine Sovereignty31:03 Historical Fascism and Machine Intelligence31:44 The Future of AI and Biotech32:56 Voice as the Ultimate Human-Computer Interface36:39 Social Interfaces and Language Models39:53 Javier Malay and Political Shifts in Argentina50:16 The State of Society in the U.S.52:10 Concluding Thoughts on Future ProspectsKey InsightsThe Bitter Lesson Still Holds, but AI Faces Bottlenecks – Ivan Vendrov reinforces Rich Sutton's "bitter lesson" that AI progress is primarily driven by scaling compute and data rather than human-designed structures. While this principle still applies, AI progress has slowed due to bottlenecks in high-quality language data and GPU availability. This suggests that while AI remains on an exponential trajectory, the next major leaps may come from new forms of data, such as video and images, or advancements in hardware infrastructure.The Future of AI Is Centralization and Fragmentation at the Same Time – The conversation highlights how AI development is pulling in two opposing directions. On one hand, large-scale AI models require immense computational resources and vast amounts of data, leading to greater centralization in the hands of Big Tech and governments. On the other hand, open-source AI, encryption, and decentralized computing are creating new opportunities for individuals and small communities to harness AI for their own purposes. The long-term outcome is likely to be a complex blend of both centralized and decentralized AI ecosystems.User Interfaces Are a Major Limiting Factor for AI Adoption – Despite the power of AI models like GPT-4, their real-world impact is constrained by poor user experience and integration. Vendrov suggests that AI has created a "UX overhang," where the intelligence exists but is not yet effectively integrated into daily workflows. Historically, technological revolutions take time to diffuse, as seen with the dot-com boom, and the current AI moment may be similar—where the intelligence exists but society has yet to adapt to using it effectively.Machine Intelligence Will Radically Reshape Cities and Social Structures – Vendrov speculates that the future will see the rise of highly concentrated AI-powered hubs—akin to "mile by mile by mile" cubes of data centers—where the majority of economic activity and decision-making takes place. This could create a stark divide between AI-driven cities and rural or off-grid communities that choose to opt out. He draws a parallel to Robin Hanson's Age of Em and suggests that those who best serve AI systems will hold power, while others may be marginalized or reduced to mere spectators in an AI-driven world.The Enlightenment's Individualism Is Being Challenged by AI and Collective Intelligence – The discussion touches on how Western civilization's emphasis on the individual may no longer align with the realities of intelligence and decision-making in an AI-driven era. Vendrov argues that intelligence is inherently collective—what matters is not individual brilliance but the ability to recognize and leverage diverse perspectives. This contradicts the traditional idea of intelligence as a singular, personal trait and suggests a need for new frameworks that incorporate AI into human networks in more effective ways.Javier Milei's Libertarian Populism Reflects a Global Trend Toward Radical Experimentation – The rise of Argentina's President Javier Milei exemplifies how economic desperation can drive societies toward bold, unconventional leaders. Vendrov and Alsop discuss how Milei's appeal comes not just from his radical libertarianism but also from his blunt honesty and willingness to challenge entrenched power structures. His movement, however, raises deeper questions about whether libertarianism alone can provide a stable social foundation, or if voluntary cooperation and civil society must be explicitly cultivated to prevent libertarian ideals from collapsing into chaos.AI, Mythology, and the Need for New Narratives – The conversation closes with a reflection on the power of mythology in shaping human understanding of technological change. Vendrov suggests that as AI reshapes the world, new myths will be needed to make sense of it—perhaps similar to Tolkien's elves fading as the age of men begins. He sees AI as part of an inevitable progression, where human intelligence gives way to something greater, but argues that this transition must be handled with care. The stories we tell about AI will shape whether we resist, collaborate, or simply fade into irrelevance in the face of machine intelligence.

This podcast episode explores the intersection of AI and healthcare, focusing on drug development, repurposing, and access to medical treatments. Mika Newton speaks with Bob Battista about the challenges of sharing pharmaceutical data, regulatory barriers, and how AI could enhance clinical decision-making. They discuss real-world data, patient knowledge, and the role of technology in optimizing treatment pathways. The conversation also touches on privacy laws, governance, and the potential for AI to empower patients with better access to medical insights. Viewers will gain a deeper understanding of how innovation and policy changes could improve healthcare outcomes.

Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse.If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.

Supercharge your analysis with AI! Get 15% of your membership with our special link here: https://finchat.io/csi/Join us on Discord with Semiconductor Insider: https://ko-fi.com/chipstockinvestor/tiersSafeguard your personal information with Aura's monitoring service – try it free for two weeks and see where your data might be lurking: https://aura.com/chipstockinvestor

Plus, Chinese internet company Baidu reports lower revenue but doubles its profit. And truck maker Scania agrees to buy Northvolt's heavy industry business. Charlotte Gartenberg hosts.  Learn more about your ad choices. Visit megaphone.fm/adchoices

We couldn't decide what to talk to Allie about, so we're going with a bit of everything. Don't worry - it's all related and ties together nicely. First, we'll discuss AI and automation in the SOC - Allie is covering this trend closely, and we want to know if she's seeing any results yet here. Next, we'll discover SecOps data management - the blood that delivers oxygen to the SOC muscles. Finally, we'll discuss MITRE's recent EDR evaluations - there was some contention around some vendors claiming to ace the test and we're going to get the tea on what's really going on here! For each of these three topics, these are the blog posts they correspond with if you want to learn more: Generative AI Will Not Fulfill Your Autonomous SOC Hopes (Or Even Your Demo Dreams) If You're Not Using Data Pipeline Management For Security And IT, You Need To Go Beyond The MITRE ATT&CK Evaluation To The True Cost Of Alert Volumes Show Notes: https://securityweekly.com/esw-394

Your AI is only as good as the data its trained on. In this episode we talk to Krishna Subramaniam, Co-Founder and President of Komprise, a provider of intelligent Data Management. We discuss both the importance and challenge of unlocking the value unstructured data for AI pipelines. For more info on Komprise's Intelligent Data Management Platform:www.komprise.comAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com

Ethical concerns about the use of AI have to start with training data. Too often, the primary concern is simply generating sufficient data, rather than understanding its nature. Emily Jasper and Abby Simmons are back to continue the conversation started in episode 198 with host Eric Hanselman. With generative AI, the data is the application in its most formative sense. Unlike traditional application development, where the expectation is that functionality will be expanded in later releases, GenAI applications require careful design of training data before training takes place. The perspectives contained in data age rapidly and model training doesn't differentiate between outdated and current indications. Old data can effectively poison model outputs. Businesses risk alienating customers with models that are trained with data that don't properly represent them. This is particularly true with marginalized communities, where language and context can change over shorter time frames. While there is research work on model retraining, work in AI today has to focus on effective data quality management. DeepSeek is causing a significant rethinking. Human data cleansing can be effective, but can't scale to AI demands. Data workbench tools and synthetic data approaches can help, but better automation is needed to ensure that data sets are truly representative. Data collection and data sourcing need much greater attention to ensure that model results can engage the target audience and not be a liability. It's a fundamental question of accountability that requires thinking in ways that are different than legacy development processes. Mentioned in this episode: https://transtechtent.com https://kevinguyan.com/queer-data/  More S&P Global Content: Webinar: AI in Action: Leveraging NLP to Answer Subjective Questions 2025 Trends in Data, AI & Analytics Take 5: Data quality and AI — a bidirectional relationship Compliance automation, Part 1: Governance, risk and compliance, or something new? Credits: Host/Author: Eric Hanselman Guests: Emily Jasper, Abby Simmons Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

What does DeepSeek's efficiency breakthrough and the Stargate Project mean for the adoption of AI, data-center growth, power consumption and cooling-system demand? In this episode of Bloomberg Intelligence's Tech Disruptors podcast, Abhijit Dubey, CEO of NTT DATA Group, sits with Omid Vaziri, BI senior analyst, to examine new trends in AI and cloud infrastructure, growth expectations and challenges. They discuss space-based data centers, optical and wireless networks replacing electronics with photonics and likely power sources. They also talk about what gen-AI adoption could mean for the industry's operating margins and key factors to consider in its implementation. Workforce upskilling efforts needed to upgrade human capacity to adopt gen-AI makes advances in cost-efficiency from the likes of DeepSeek highly welcomed news.

The 1990s saw the explosion of the internet, transforming the global economy and social development in ways we could have never imagined. But will AI truly have the same impact? While its potential is undeniable, the road ahead is full of risks, challenges, and ethical concerns. Will AI drive efficiency and innovation, or will it create new vulnerabilities that companies must scramble to control?In this episode of Corruption, Crime, and Compliance, Michael Volkov dives deep into the legal, ethical, and compliance challenges surrounding AI. He explores how businesses are navigating AI adoption, the risks they face, and the safeguards they must implement to protect themselves.You'll hear him discuss:Why AI's economic impact, while significant, may not match the transformative power of the internetGoldman Sachs' prediction that AI could add $7 trillion to global GDP over the next decadeThe massive investments required to scale AI, from semiconductors and data centers to energy and infrastructureHow generative AI is reshaping industries by creating human-like content with limitless applicationsThe hidden dangers of AI, including misinformation, deepfakes, fraud, and identity theft risksWhy businesses are cautiously adopting AI while grappling with privacy, copyright, and security concernsThe importance of AI compliance programs to mitigate legal, ethical, and reputational risksBest practices for companies to ensure AI-generated content is accurate, transparent, and responsibly usedResourcesMichael Volkov on LinkedIn | X (Twitter)The Volkov Law Group

#AI: Data Centers and natural gas generated electricity demand. Henry Sokolski, NPEC 1951 The Day the Earth Stood Still

Preview: Colleague Henry Sokolski Advocates Private Natural Gas-Fueled Electricity as Superior Solution for AI Data Center Power Demands. More Later. 1940

Plus, shares of Rivian soar after the electric-vehicle maker beats delivery expectations. And, China will expand consumer subsidies to include smartphones and tablets in an effort to spur domestic spending. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices