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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30:03
Risk to Resilience
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
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
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
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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