Define your digital roadmap. Weekly podcasts featuring specialists from across the S&P Global Market Intelligence research team offer deep insights into what’s ...
Of the many companies that are part of the AI wave, NVIDIA has been at the core of AI infrastructure and a darling of the markets. Their performance in the market is driven in part by consistency in their performance and Melissa Otto, head of TMT Research for Visible Alpha, part of S&P Global Market Intelligence, joins host Eric Hanselman to look at the sentiment around the upcoming earnings. The enthusiasm for AI has driven expectations higher and higher and the company has delivered. The rampant enthusiasm for AI’s future hasn’t been without some cautious moments. In January, the announcement of the DeepSeek model roiled markets with the prospect of lower compute consumption for model training. The concern was that demand for all things AI, GPU’s included, might wane. It might also have been a reason for a jumpy market to take a step back. If you dust off your economics textbooks, Jevon’s Paradox has been cited by many as an indication that consumption could accelerate. Time will tell! More S&P Global Content: Assessing the Factors Driving Technology Investments Big Picture for Generative AI in 2025: From Hype to Value Webinar: The Big Picture on GenAI and Market Impacts NVIDIA takes commanding revenue lead in semiconductor space Intelligent and agentic process automation and integration platforms: 2025 research agenda GPU as a Service Market Monitor & Forecast 2025 Trends in Data, AI & Analytics Credits: Host/Author: Eric Hanselman Guests: Melissa Otto Producer/Editor: Amaan Zafar and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith
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Agentic AI Impacts
The next phase of the AI wave is the arrival of agentic AI – where agents can take action on a user’s behalf. That’s enough of a big deal, but when the head of a tech giant says agentic is going to replace most SaaS applications, something different might be afoot. Analysts Sheryl Kingstone and Chris Marsh return to the podcast to look at the realities of this suggestion with host Eric Hanselman. Agents could become the new user interface for enterprise data, but there are a set of challenges in making this work. On the one hand, one of the largest issues with autonomous action, accountability for actions taken, is far from settled in both regulatory and legal frameworks. On the other, much of enterprise information is still held in systems where it may be difficult for an agent to reach. Agentic AI could provide a gateway to the myriad of systems that run the modern business. Opening access to data and the ability to aggregate across an organization could be tremendously powerful. Capturing the business logic that is often embedded in SaaS systems is difficult, but the shift to decoupling through API’s and the expansion of systems of delivery could open the door to agentic progress. More S&P Global Content: Big Picture for Generative AI in 2025: From Hype to Value Webinar: The Big Picture on GenAI and Market Impacts For S&P Subscribers: 2025 Trends in Data, AI & Analytics Credits: Host/Author: Eric Hanselman Guests: Chris Marsh, Sheryl Kingstone Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith
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Ethical AI Data
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
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NRF conference shows AI challenges and rewards
The National Retail Federation conference (NRF) launches just as retailers are cleaning up from the holiday shopping season. This year there was a focus on how technology can empower employees while reducing customer friction. Sheryl Kingstone, Rich Karpinski and Jordan McKee return to the podcast to share their insights on the conference with host Eric Hanselman. Traditional in-store retail concerns are a big part of NRF and innovation in Point of Sale (PoS) technologies, like softPoS and the integration of biometrics were on display. For the latter, there’s still the issue of consumer trust, as well as onboarding requirements. The show also saw an issuing bank debut its own PoS offering. The promise and the challenges of AI were a large part of the conference. Delivering on AI will take infrastructure upgrades and retailers are looking at building ecosystems across technology vendors to share cost and risk. Digitization is going forward as logistics look to move from picking products to smart warehouses that can sense products. AI mastery can create a competitive advantage, but it requires the integration of a lot of moving parts. More S&P Global Content: Next in Tech | Ep. 184: Dreamforce Preview Payments modernization on full display at NRF 2025 Going beyond last year's AI, NRF looks to revitalize the modern commerce experience Credits: Host/Author: Eric Hanselman Guests: Sheryl Kingstone, Rich Karpinski, Jordan McKee Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith
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Consumer Electronics at CES
The annual technology fest that kicks off of the year, the CES conference (formerly known as the Consumer Electronics Show), showcased the latest consumer technology, from smart glasses to smart homes. Neil Barbour and Stefan Modrich join host Eric Hanselman to explore what made an impact and what’s happened to technology debuts from previous years. The metaverse headlines of a couple of years ago have transformed into augmented reality. ChatGPT hasn’t been integrated into any cars, yet, but agentic AI is being rolled out. Much of what’s on display at CES is a vision of the future. The transparent TV’s last year were early prototypes and this year they’re on the market, albeit with a hefty price tag. There is more that’s taking place behind the scenes in consumer interactions. Advertising is becoming more digital and smart devices are the new frontier in engagement. Media purveyors are looking to link consumer experiences across devices. The omnichannel strategies of the past have been realized in multi-screen engagement today. They are becoming the next retail channel in new and different ways that create opportunities, as long as businesses can master the technologies required to capitalize on them. More S&P Global Content: Next in Tech | Ep. 185: Consumer Tech Evolution Incoming Trump administration's expected tech policy shifts Robot visions LG Electronics elucidates smart home strategy Gen Z presents opportunities and challenges for video entertainment providers – Highlights from VoCUL: Mobile, TV & Streaming Video Services Trends 2025 Trends in Customer Experience & Commerce Credits: Host/Author: Eric Hanselman Guests: Neil Barbour, Stefan Modrich Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith
Define your digital roadmap. Weekly podcasts featuring specialists from across the S&P Global Market Intelligence research team offer deep insights into what’s new and what’s next in technology, industries and companies as they design and implement digital infrastructure. To learn more, visit: https://www.spglobal.com/marketintelligence/en/topics/tmt-news-insights
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