AI use cases

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32:48

America’s Sweethearts: Dallas Cowboys Cheerleaders is back for its second season! Kay Adams welcomes the women who assemble the squad, Kelli Finglass and Judy Trammell, to the Netflix Sports Club Podcast. They discuss the emotional rollercoaster of putting together the Dallas Cowboys Cheerleaders. Judy and Kelli open up about what it means to embrace flaws in the pursuit of perfection, how they identify that winning combo of stamina and wow factor, and what it’s like to see Thunderstruck go viral. Plus, the duo shares their hopes for the future of DCC beyond the field. Netflix Sports Club Podcast Correspondent Dani Klupenger also stops by to discuss the NBA Finals, basketball’s biggest moments with Michael Jordan and LeBron, and Kevin Durant’s international dominance. Dani and Kay detail the rise of Coco Gauff’s greatness and the most exciting storylines heading into Wimbledon. We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Find more from the Netflix Sports Club Podcast @NetflixSports on YouTube, TikTok, Instagram, Facebook, and X. You can catch Kay Adams @heykayadams and Dani Klupenger @daniklup on IG and X. Be sure to follow Kelli Finglass and Judy Trammel @kellifinglass and @dcc_judy on IG. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports universe! Each episode, Adams will speak with athletes, coaches, and a rotating cycle of familiar sports correspondents to talk about a recently released Netflix Sports series. The podcast will feature hot takes, deep analysis, games, and intimate conversations. Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, or wherever you get your podcasts. New episodes on Fridays every other week.…

about a year ago 31:58

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While there is no end of generative AI discussion, it’s not often clear how it’s being used. Nick Patience and Alex Johnston return to explore the results of a recent study that digs into AI use cases with host Eric Hanselman. Projects are charging forward and concerns around data dominate. Getting access to data remains challenging, but, as use matures, data quality has become increasingly critical. Interestingly, trust in AI results is declining as understanding grows. Hallucination anyone?

102 episodes

Next in Tech

AI use cases

Next in Tech

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published about a year ago

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102 episodes

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1
Context Around MCP 28:44

6 days ago28:44

28:44

Linking generative AI models to the agents that are going to use them now has a standard for queries, the Model Context Protocol (MCP). Suddenly all sorts of things are vying to be your data source of choice. What could go wrong? Analysts Jean Atelsek, James Curtis and Henry Baltazar join host Eric Hanselman to provide an introduction to what MCP is, what all the fuss is about and where this is headed. Since Anthropic released the standard in November of 2024, there has been significant progress in expanding and clarifying it, but it is still very much a work in progress. Database providers and storage vendors have been the obvious participants and many others are joining in. The larger questions are around ensuring trust and transparency in this market. Basic authentication has been worked out, but more sophisticated authorization mechanisms need to be defined. The mad dash is already leading to M&A activity, with storage vendors looking to expand their opportunities and maintain their relevance. Microsoft has released its MCP definition and Google has created an agent-to-agent (A2A) protocol for direct agent interactions. There are many pieces that are coming together to enable fully agentic operations and there is still a lot of work to be done. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global subscribers: Technology Primer: Model Context Protocol explained Databases and analytic services get the agentic AI treatment at Google Cloud Next 2025 IT Insider 3: A roundup for IT decision-makers Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, James Curtis , Henry Baltazar Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Developer Experience and Automation 25:02

13 days ago25:02

25:02

Developer experience is one of the areas where AI applications are showing significant return on investment, but there are significant hurdles to overcome in both changing established development patterns, as well as integrating AI tooling. Analyst Jean Atelsek and AWS vice president for developer experience Deepak Singh join host Eric Hanselman to explore the current state of AI code assistance and look at where it’s headed. Auto-complete, where the next bit of a line of code is filled in for a programmer, has been evolving over a number of years, but the arrival of agents to augment code generation and task automation is being to revolutionize software development. Changing development patterns is hard, but the benefits offer strong incentives to change habits. Where early uses had AI engines generate smaller code snippets that developers integrated, that’s changing to having AI tackle full functions that are then reviewed and corrected. Tooling around AI implementations are tailoring they way in which they interact with individual developers, enhancing their experience. Application modernization is an area where AI can shine, as it can assess a massive codebase whose authors are no longer available and provide not only documentation, but also prioritize recoding efforts. It’s a task where the hours required for manual assessment can be daunting and error prone. Leveraging AI code generation securely requires that organizations have sufficiently secure development pipelines. Mitigating risks from confabulation and errors in AI generated code is the same process as ought to be in place for human coders, an area where some less mature organizations may have some catching up to do. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global subscribers: Can generative AI modernize legacy code bases? It depends Tech Trend in Focus: Generative AI in programming Generative AI Market Monitor & Forecast Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, Deepak Singh Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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FinOps – Managing Cloud and AI Costs 30:20

20 days ago30:20

30:20

Managing IT costs has always been challenging and the FinOps movement is working to tackle this problem. Analysts Jean Atelsek and Melanie Posey return to the podcast to discuss their research and what they saw at the FinOps X conference with host Eric Hanselman. Cost angst has been exacerbated by the move to cloud. The shift from capital expense to operational expense has been a complicated transition for many. The infrastructure spending growth that being driven by AI initiatives has only just begun, but is already concerning. As cloud costs have become material expenses, more focus has been put on managing them. There are a host of startups that are looking to provide tools and cloud providers all have some form of cost management tooling. The shift to virtualization opened the door to optimization, but was one that only few walked through. Efforts at charge-back and show-back accounting created better visibility, but FinOps is looking to take things a step further by identifying costs early in the development cycle. Putting the vast quantities of operational data that cloud throws off to work requires a new focus. It’s another area where AI can help businesses work their way out of the looming costs that AI applications create. It requires bringing together lines of business, development teams and IT operations, but the benefits could be significant. More S&P Global Content: Webinar: AI Has Swallowed the Tech Industry: Indigestion to Follow? Cloud Shifts podcast For S&P Global Subscribers: FinOps Foundation showcases Scopes initiatives, user deployment experiences at FinOps X Day FinOps adoption expands as generative AI amplifies public cloud cost challenges – Highlights from VotE: Cloud, Hosting & Managed Services and Cloud Native FinOps Market Monitor & Forecast Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek , Melanie Posey , Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Datacenter Slowdown? 32:36

27 days ago32:36

32:36

A set of questions are being asked about whether the velocity of datacenter build outs is wavering. Analyst Dan Thompson returns to the podcast to explore the realities of the market with host Eric Hanselman. There are some facts that raised the questions, including Microsoft demurring on some datacenter projects, and they have fueled concerns that the heady pace might slacken. The DeepSeek model’s debut with claims of lower training requirements spooked the tech markets in January. There have been layoffs. Are these harbingers of AI doom? In the same way that DeepSeek signaled the next phase of optimization in AI models, datacenter markets can be expected to adjust over time. The difference is that the time scales for the two areas are vastly different. With AI ecosystems seemingly cycling daily, the multiyear scheduling of datacenters might appear glacial by comparison. But it’s a market influenced by many factors, including a complex supply chain. Capital spending across hyperscale cloud providers remains healthy and maintains an eye on a future with much greater density of AI functionality. We’re still a long way from a correction. More S&P Global Content: Powering AI – Opportunities, tensions in datacenter and energy markets For S&P Global subscribers: Truths about how the power sector can (and cannot) respond to datacenter needs Potential impacts of DeepSeek on datacenters and energy demand 2025 US datacenters and nuclear energy report Credits: Host/Author: Eric Hanselman Guests: Dan Thompson Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Personal Data 30:03

5 weeks ago30:03

30:03

In the rush to build out AI applications, a full understanding of the dynamics of personal data management can be difficult to achieve. As we kick off Pride Month, the complexities of personal data handling deserve more attention and Emily Jasper and Alan Moore join host Eric Hanselman to discuss the concerns and approaches to address privacy issues. Enterprises accumulate both operational and self-reported personal data, some with regulatory requirements for collection and reporting and some in support of employee development. Is that data the new oil that can fuel their efforts, the new water that can leak or the new plutonium that can be powerful, but also dangerous? With many systems accumulating data, it can be difficult to ensure that right data is in the right places. Data migration is hard, but can be necessary in technology transitions. Data is the raw material that builds AI value, but personal data increases the risks of not only expose, but of creating presumptions by AI models of association and affiliation. There are additional risks in inadequate datasets for training. As we’ve pointed out in previous episodes, organizations need to be aware of how well their training data reflects the populations they intend to serve. More S&P Global Content: Webinar: Winning the Ad Dollar: Data-Driven Sales Enablement Next in Tech | Ep. 213: AI and Privacy Next in Tech | Ep. 204: Ethical AI Data For S&P Global subscribers: Safeguarding privacy in the AI era – Highlights from VotE: Data & Analytics 2025 Trends in Workforce Productivity & Collaboration Ask the Analyst: Retail tech — personalization without friction 2025 Trends in Data, AI & Analytics Credits: Host/Author: Eric Hanselman Guests: Emily Jasper , Alan Moore Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Risk to Resilience 29:56

6 weeks ago29:56

29:56

Around the globe, municipalities are facing a set of challenges managing the impacts of more extreme weather, while addressing aging infrastructure and more chronic issues, such as rising heat and sea levels. There are a set of technologies that can help them to both be aware of the risks and improve planning to work on mitigating them. The Internet of Things (IoT) can play a role in sensing and advances in digital twins can aid in simulating climate-driven events. It’s a set of tools that, when applied well, can help to better build resilience. At the same time, the resilience of utility systems are being challenged by tech advances. Power consumption by datacenters is impacting the load on electricity grids. The transition to greater use of renewables is changing grid dynamics and investment is needed to maintain stability. Climate impacts can have differing impacts across society and efforts manage equity are critical. The upcoming webinar will dig into all of this in more detail – join us to continue the conversation! Join the webinar: Risk to Resilience: How Technology is Reinventing Urban Preparedness More S&P Global Content: Climate physical risk insights for the U.S. municipal bond market Enhancing government resilience with technology amidst uncertainty Sustainable cities: Open data portals for community-driven AI apps, sustainability validation For S&P Global subscribers: Lessons from the Iberian blackout: The starfish and the spider Potential impacts of DeepSeek on datacenters and energy demand Adoption of automation capabilities could drive consolidation in the smart buildings space Smart spaces must address privacy concerns, deliver experience enhancements – Highlights from VoCUL: Smart Spaces Credits: Host/Author: Eric Hanselman Guests: Therese Feng , Zoë Roth , Johan Vermij Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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AI and Storage 28:03

7 weeks ago28:03

28:03

With all of the drama associated with AI, it’s easy to miss the need to understand the foundations that deliver the data that is the raw element from which AI value is built. Databases and storage infrastructure are critical components that have to work in concert with AI plans and returning guests Henry Baltazar and James Curtis join host Eric Hanselman to discuss what’s been happening and what enterprises need to know about the future. Databases and storage management systems have been intertwined for a long time and AI pressures are tightening that connection. Storage systems perform analytics on the data they store to optimize its handling, tracking use and characteristics. The same insights that aid in compression and tiering are also useful in classifying data for AI. Data classification has always been a challenge for enterprises, as storage systems are typically disconnected from the data owners and applications that use them. Intelligent storage systems have been able to intuit the nature of content, including mapping databases and virtual machines. Databases have been able to leverage storage capabilities like snapshotting for resilience. Into this mix a new set of AI focused storage and database offerings arrive that target AI uses. The question is whether the native database and storage systems can do enough of what’s needed. They already store key data and have valuable insights and classification capabilities. Some vendors are attaching GPU clusters to storage systems to provide high performance AI model training functionality. The major issue for most, is the matter of data placement. Shifting petabytes of data is no small task and concerns about data security and the costs involved now loom much larger. More S&P Global Content: Next in Tech | Ep. 213: AI and Privacy Next in Tech | Ep. 203: NRF conference shows AI challenges and rewards For S&P Global Subscribers: Rapid data growth and migrations increase storage burdens Amazon S3 Tables and automated metadata highlight recent AWS Storage enhancements 2025 Trends in Cloud and Cloud Native Credits: Host/Author: Eric Hanselman Guests: Henry Baltazar , James Curtis Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Technology at the NAB Show 21:18

8 weeks ago21:18

21:18

The annual NAB Show delivered a more fully digital ecosystem when it convened in Las Vegas this year. While traditional broadcast technologies are still the focus, hyperscale cloud providers, digital media platforms and no shortage of AI were all on display. Returning guests Justin Neilson and Peter Leitzinger join host Eric Hanselman to discuss what they saw at broadcasting’s big event and the impacts of various technologies on the media landscape. The digital television evolution is continuing apace. The ATSC 3.0 NextGen TV standard has been rolling out across the globe, albeit a bit more slowly in the U.S.. The higher resolution, more interactive capability is available to over three quarters of the market. Multi-screening functionality is interesting, but digital advertisers are looking to the direct access to consumers as a better path to monetizing viewers and delivering a direct path to content creators. The smart TV market is also hopeful, driving the uptake of new chipsets and televisions. The show also revealed the greater participation of the hyperscale cloud providers in broadcast media. Greater volumes of digital content are depending on cloud scale in ever greater measure. The creeping incrementalism of AI in media production still has to overcome some fundamental objections from studios and some content creators, but it is working its way into many parts of the industry. It seems like its convenience and velocity may be too much to resist. More S&P Global Content: Radio/TV station annual outlook, 2024 MediaTalk | Season 3 | Ep. 16 - Broadcasters Band Together Over Tech Advancements, Deregulation For S&P Global subscribers: US TV set projections through 2028: Solid rebound on track to continued growth Digital multicast TV database 2024 update: NextGen TV expands reach to 75% of US Credits: Host/Author: Eric Hanselman Guests: Justin Nielson , Peter Leitzinger Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Rugby Season and Media Rights 25:32

9 weeks ago25:32

25:32

The game of Rugby is having a moment on the global stage. It’s attracting investment and growing its fan base and audiences. The Six Nations competition has just finished, with France triumphing over Scotland and the Women’s World Cup is on the horizon. With dedicated fans and upmarket advertisers, the media rights are garnering significant interest. An old saying contrasted soccer (football to most of the world) with rugby by saying that football was a gentleman’s game played by hooligans, while rugby was a hooligan’s game played by gentlemen. And today, both the women’s and men’s games are gaining prominence. Unlike soccer (football), the world governing body for rugby spans both leagues and has strong female representation on its board. With high value advertisers driving revenue and both country competitions and national leagues creating a rich game schedule, media valuations are continuing to grow. From its origins as an amateur league, it’s become much more. There’s a nascent shift from free-to-air broadcast to paid media and streaming. It’s quite a scrum! More S&P Global Content: Authenticity, women's sports and African potential dominate SportsPro Live For S&P Global Subscribers: Sports calendar 2025 — High-profile women's events and sustainability concerns DAZN boasts its global expansion plans with acquisition of Foxtel Credits: Host/Author: Eric Hanselman Guests: Richard Berndes Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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RSA Conference Preview 29:24

10 weeks ago29:24

29:24

The annual RSA Conference on information security is coming up and it arrives during a very active security market. Analysts Garrett Bekker, Dan Kennedy and research director Scott Crawford return to the podcast to discuss what they expect to see in San Franscisco with host Eric Hanselman. The largest transaction ever in the information security world, Google’s acquisition of cloud security unicorn Wiz, has been echoing across capital and technology markets. It’s reinforced the importance of cloud security and its nature as a distinct technology segment. Enterprises have become fully hybrid in their infrastructure mix and they’re struggling to mitigate cloud risks. Part of the struggle is leading to tool consolidation and platform approaches to security management. It’s a situation that’s led by the fact that the average enterprise already reports spending a third of their security budgets on a single security operations vendor. Of course, AI will be front and center and this year agentic AI is being examined as a way to scale up security capabilities. AI capabilities have been part of security tools for many years and the challenge has always been building trust in automated actions. It will be some time before autonomous actions are turned on. There’s a long history of keeping human review in place as trust is built. It’s not that different from previous technology automation transitions, but with security, there’s a greater imperative. More S&P Global Content: AI for security: Agentic AI will be a focus for security operations in 2025 The evolution of security platforms – 6 centers of gravity shaping the market Security Summer Camp 2024 and the elephant in the room Credits: Host/Author: Eric Hanselman Guests: Garrett Bekker , Scott Crawford , Daniel Kennedy Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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KubeCon and Cloud Native 26:08

11 weeks ago26:08

26:08

Cloud native patterns and open source developments were on display at the KubeCon + CloudNativeCon Europe conference. The biannual gathering was showing how the container ecosystem continues to mature and analysts Jean Atelsek and William Fellows join host Eric Hanselman to explore their insights. The Cloud Native Computing Foundation (CNCF), part of the Linux Foundation, continues to expand the event and advance the maturity of the open source projects that are part of its purview. Day 2 operations have been gaining focus and the pre-conference FinOps X event was an indication of the emphasis on operational controls as it digs into infrastructure cost management. The opening “Day 0” events at KubeCon, which have been the forum for specialized project meetings, have become a key part of the conference, with over 6,000 attendees, almost half of the reported 13,000 total. The Kubernetes container management project is now over ten years old and one of the other signs of technology evolution was the integration of the OpenInfra Foundation, which managed the OpenStack project and other infrastructure elements, into the Linux Foundation. Open source projects are gaining wider adoption and one of the messages from projects and vendors at KubeCon, was the hope that it could offer alternatives to enterprise infrastructure stalwart, VMware. The CNCF is expanding its investments in improving security across the projects under its umbrella. There was also continued development of platform engineering initiatives. Bounding the expanding world of open source projects to create consistent development and operational tool chains for enterprise is one more sign of maturity in the container world. More S&P Global Content: AWS, Microsoft Azure and Google Cloud enter the FinOps vortex For S&P Global subscribers: Kubernetes meets the AI moment in Europe with technology, security, investment Data management, GenAI, hybrid cloud are top Kubernetes workloads – Highlights from VotE: DevOps Kubernetes ecosystem tackles new technical and market challenges Kubernetes, serverless adoption evolve with cloud-native maturity – Highlights from VotE: DevOps Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek , William Fellows Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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AI and Privacy 27:22

12 weeks ago27:22

27:22

The many impacts of AI extend across business and consumer interests and issues around privacy are some of the broadest. Analyst Paige Bartley returns to the podcast to discuss the results of two recent studies on enterprise and consumer perspectives on AI and privacy with host Eric Hanselman. Enterprise privacy concerns are shifting from regulatory to operational and reputational, as the awareness of the importance of data privacy grows. The landmark UK GDPR legislation was announced in 2016 and most early efforts focused on compliance. That’s shifted to building privacy functionality into the foundations of the way businesses operate. PrivacyOps approaches are growing rapidly as organizations come to realize that customer trust has to both be established and maintained in ways that are meaningful to customers. The opportunity for businesses is to move from treating privacy as overhead to making part of supporting business interests. It comes full circle by helping to enable better data use for AI. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global Subscribers: Safeguarding privacy in the AI era – Highlights from VotE: Data & Analytics Consumers' preference for personalization still outweighs desire for data privacy – Highlights from VoCUL: Connected Customer Data Insight: Consumer data privacy in the modern world of generative AI — no going back? Credits: Host/Author: Eric Hanselman Guest: Paige Bartley Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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NVIDIA GTC Bursts at the Seams 31:06

13 weeks ago31:06

31:06

It’s come a long way from its game developer roots and the NVIDIA GPU Technology Conference (GTC) 2025 edition was so well attended, it was straining the capacity of the San Jose Convention Center, its long-term home. John Abbott returns to discuss what debuted and the implications with host Eric Hanselman. NVIDIA has taken a starring role in AI and this year’s GTC had all of the glitz of a Hollywood production – CEO’s of major tech partners delivered a video tribute and Disney-designed robots cavorted on stage with CEO Jensen Huang. The event reinforced the extent to which NVIDIA has become a systems and software company, rather than simply a supplier of high performance silicon. The event highlighted not only new GPU’s and rack-scale compute systems, but also countered the concerns around declines in GPU demand raised by the release of the DeepSeek AI models. The shift to reasoning models for AI is expected to drive further demand. The impacts on energy consumption and associated pressure on energy transition plans weren’t mentioned, but are a large part of the larger discussion around AI. More S&P Global Content: SoftBank, OpenAI, Oracle and MGX commit to $100B for Stargate AI infrastructure Semiconductor Digest: A roundup of the latest developments Next in Tech | Ep. 206: NVIDIA quarterly earnings For S&P subscribers: NVIDIA pushes broader AI infrastructure story with Blackwell Ultra, full stack software NVIDIA takes commanding revenue lead in semiconductor space Tech is priced to move Generative AI Digest 25: A roundup of latest breakthroughs and developments Credits: Host/Author: Eric Hanselman Guest: John Abbott Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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M&A in 2025 44:29

14 weeks ago44:29

44:29

The M&A markets are in a tough situation. Transactions are harder to get done and exits just not happening. To sort out where this is all going, Scott Denne and Brenon Daly return to the podcast with host Eric Hanselman. Investors across technology have portfolios that are getting long in the tooth. They need exits to return value to their funds, but there are limited options. The IPO market is tentative, at best. At the same time, strategic investors are stepping back as they spend on AI. Capital expenditures continue to grow, with hyperscalers shelling out billions to expand their own infrastructure, as well as investing in AI startups. Google’s acquisition of Wiz is a massive transaction, but it is dwarfed by the ongoing internal investments. How far does this go and what will be the return on these investments? More S&P Global Content: Tech M&A Outlook Survey: A historic bust-to-boom reversal in 2024? For S&P Global Subscribers: Shifting AI exits The public-private divide If not Wiz, who? Tech leads the way up and down on Wall Street Credits: Host/Author: Eric Hanselman Guests: Brenon Daly , Scott Denne Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith…

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Satellite Market Perspectives 16:46

15 weeks ago16:46