Putting Agents To Work

We're well underway in the integration of agents into various enterprise workflows, but there are many questions about where and how they can be used effectively. Emily Jasper and Sheryl Kingstone return to the podcast to discuss their recent research and upcoming webinar with host Eric Hanselman. Much has been made of claims that agents are going to replace SaaS applications, particularly in applications like CRM, but that relies on a fundamental misunderstanding of where their value lies. CRM systems are the repositories of crucial enterprise data and agents can help to deliver on many of their unfulfilled promises. Many systems have   More S&P Global Content: Join the webinar: Putting AI agents to work Next in Tech | Ep. 250: The Agentic Enterprise | S&P Global Next in Tech | Ep. 205: Agentic AI Impacts       451 IT Insider October: A roundup for IT decision-makers   For S&P Global subscribers: The rise of agentic sales execution Agentic experiences redefine retail execution at NRF 2026 From assistance to autonomy: Mapping the future of agentic commerce   Credits: Host/Author: Eric Hanselman Guests: Emily Jasper, Sheryl Kingstone Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

The RSAC Conference, a major cybersecurity gathering in the spring, is coming up and the impacts of agents will be on full display. Scott Crawford, Brenon Daly, and Dan Kennedy join host Eric Hanselman to explore their expectations and look at what's been taking place in both the marketplace, investments and M&A activity. Agents are automating tasks, not jobs, and there are a great set of use cases, but they're not a panacea. There will be disruption, but it will be in specific areas, rather than a universal replacement of existing tooling. Are we industrializing the automated creation of software? Will agents really replace SaaS applications? We're clearly in the early days, but these questions are causing massive market shifts. A better question is how agentic interactions will change how we interact with the applications that drive businesses today. Join the team at RSAC and get all the details we didn't have time to cover. The annual 451 Research breakfast will be on, as always, so you can meet the team in person.    More S&P Global Content: 451 Research RSAC Breakfast 2026: Beyond the shine of AI, a new cyber reality is unfolding Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs Next in Tech | Ep. 205: Agentic AI Impacts       RSAC Conference 2025: Breaking records at the threshold of uncertainty   For S&P Global subscribers: An ominous opening for RSA AI, automation enhance SecOps by reducing alert burdens, boosting efficiency Software's bloodless evolution turns bloody Big Picture 2026 AI Outlook: Unleashing agentic potential   Credits: Host/Author: Eric Hanselman Guests: Scott Crawford, Brenon Daly, Daniel Kennedy Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith  

Wildfires have grabbed the headlines recently and AI is being put to work to assess risk aid strategic planning in reducing events. The next in our CEO series brings Bryan Spear, the CEO of Technosylva, in to talk with host Eric Hanselman about not only wildfire, but also the ways in which AI can address flood and extreme weather risks, as well. There are interesting commonalities in the datasets that are used and AI has helped them to pivot into new areas as they dig deeper into what, in many cases, was data they already had. Their computational requirements have driven them to invest in a dedicated compute environment. They're running analyses on scale where they can keep utilization high enough that the costs make sense. It's a calculus that many enterprises are making as they trade off the convenience of cloud with the predictable costs of owning one's own infrastructure.    More S&P Global Content: Look Forward Journal: Geopolitics of data centers Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs Next in Tech | Ep. 205: Agentic AI Impacts           For S&P Global subscribers: 2026 US Data Centers and Energy Report Highlights from Enlit Europe 2025: Flexibility, visibility and digital energy Big Picture 2026 AI Outlook: Unleashing agentic potential Credits: Host/Author: Eric Hanselman Guest: Bryan Spear Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith  

We continue our CEO series with Douwe Kiela, the CEO of Contextual AI, who is addressing the challenges of building effective agentic applications. The shift to agentic amplifies the need for enterprises to improve their data management capabilities and infrastructure scaling. The best models won't perform well, if there isn't well built context to support them. Much like people, if there's not enough of the right information, decision making is going to suffer. There's an evolution from the prompt engineering needed to generate better results from LLM's, to the context engineering that crafts the right data to feed agents. This is an area where agents can also help to tackle the data quality problem that many enterprises face. Standing the old computing paradigm on its head, effective agentic applications ought to take garbage in and put information out. Well built agentic architectures can understand data characteristics and not only evaluate its quality, but also classify it and apply the appropriate security controls to its use. The scope and scale of agentic potential demands much greater thought to achieve its full value. We need only look to the recent Open Claw project to see both the up and downsides.   More S&P Global Content: Next in Tech | Ep. 244: Agentic Customer Experience Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs Next in Tech | Ep. 205: Agentic AI Impacts AI for security: Agentic AI will be a focus for security operations in 2025   For S&P Global subscribers: Agents in the enterprise: Laying the groundwork for automation The CX AI Agent Index 2025 Agents are already driving workplace impact and agentic AI adoption – Highlights from VotE Big Picture 2026 AI Outlook: Unleashing agentic potential   Credits: Host/Author: Eric Hanselman  Guest: Douwe Kiela Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith      

The next in our series of discussions with CEO's of companies that are putting AI to work has Fransico Martin-Rayo of Helios discussing the agricultural supply chain with host Eric Hanselman. Helios is leveraging AI to generate insights in the complex dynamics of food production and sourcing at a dramatically finer level of granularity. AI not only enables more complex analysis but also allows customized delivery of the results. Shifting interfaces from legacy dashboards and static reports to queryable constructs lets users explore the analyses in ways that better fit their needs. AI can deliver custom insights at scale in ways that weren't possible with traditional application interfaces. One of the principal shifts accelerating AI, is the availability of better data. Helios integrates massive weather data sets with market history and global events to generate forecasts. While the volumes of data are growing it's seen significant reductions in the cost per token in their infrastructure. Improving efficiency can expand the depth of analysis, as well as the frequency of forecast updates. More S&P Global Content: ANALYSIS: Tariff gap likely to keep China's soybean imports anchored to Brazil India to export 2.5 million mt wheat after near 4-year ban Look Forward Journal: Geopolitics of data centers Next in Tech | Ep. 209: Datacenters and Energy Markets in Europe For S&P Global Subscribers: 2026 Trends in Data, AI & Analytics 2026 US Data Centers and Energy Report Highlights from Enlit Europe 2025: Flexibility, visibility and digital energy Credits: Host/Author: Eric Hanselman Guest: Francisco Martin-Rayo, CEO and Co-Founder of Helios Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

We're kicking off a new series of discussions with CEO's of companies that are putting AI to work to tackle complex problems. Sean Kelly of Amperon joins host Eric Hanselman to dig into how they're using AI for energy grid forecasting. The combination of weather, changes in generation capacity with renewables, and now increased data center demand is making forecasting a critical requirement for grid stability, as well as energy trading. While this might have been a problem that could be tackled with spreadsheets back in the day, scope and scale of the problem has grown to a size that is outstripping traditional methods. AI-based approaches can scale, but there are challenges with managing the size of the datasets being used and the computational costs that some models demand. Effective integration of AI into complex problem solving demands not only a deep understanding of the problem space, but also innovation in sourcing data and scaling its applications. The payoff can be much faster results with greater perspective depth. But that requires investment in automation and careful engineering to get there.  More S&P Global Content: Look Forward Journal: Geopolitics of data centers Next in Tech | Ep. 209: Datacenters and Energy Markets in Europe For S&P Global Subscribers: 2026 Trends in Data, AI & Analytics Revamped US energy strategy — meeting AI-driven data center demand amid shifting geopolitics 2026 US Data Centers and Energy Report Highlights from Enlit Europe 2025: Flexibility, visibility and digital energy Credits: Host/Author: Eric Hanselman Guest: Sean Kelly, CEO, Amperon Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

There are such significant changes going on in how data is managed and in how AI manages data, that it's not always clear which requirements are driving which trends. Jim Curtis returns to look data highlights from AWS re:Invent and to identify important changes that are taking place. FinOps and broader cloud cost management efforts are leading providers to offer tools and programs to corral spending. AWS has introduced database savings plans to provide discounts in much the same way they've done with other services as they look to foster platform commitment. AWS is also expanding its platform capabilities for AI development, with AWS SageMaker integrating additional tools to simplify the creation and deployment of AI solutions. The intersection of databases, cloud computing, and artificial intelligence is creating more focus on vectorization. It's fueled the evolution of search capabilities, which offers a more semantically rich and efficient way to organize and retrieve data compared to traditional methods. AWS S3 now has vector support, taking the venerable object store into AI-capable territory. AI is revitalizing established technologies and compelling cloud providers to deliver more integrated and tailored services.   More S&P Global Content: Next in Tech Episode 250: The Agentic Enterprise Next in Tech Episode 224: Context around MCP   For S&P Global subscribers: 2026 Trends in Data, AI & Analytics Data Platforms Market Monitor & Forecast 2025 Survey Data Hub – Voice of the Enterprise: AI & Machine Learning, Use Cases 2026 Agents are already driving workplace impact and agentic AI adoption – Highlights   Credits: Host/Author: Eric Hanselman  Guest: James Curtis Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith  

The National Retail Federation's annual NRF conference has become a showplace for the latest technology, as well its core retail foundations. Sheryl Kingstone returns to discuss what was on display and how it will impact retail and the larger tech landscape with host Eric Hanselman. While we may be a ways off from having robot dogs retrieving shoes at your local mall store, automation and agentic applications are delivering significant value in customer interactions - $22 billion in the recent 451 Research study. The days of clunky chatbot interfaces seem to be well and truly behind us. One the greater challenges in scaling agentic applications is maintaining consumer trust as applications and use cases grow. Part of that trust will depend on effectively managing fleets of agents. In order to scale, organizations have to develop an AI agent control plane that can manage memory, maintain context and guide agent actions. Regulatory requirements are in their early stages, but enterprises have to focus on controls that will ensure they can maintain customer trust as matter of basic business operations.   More S&P Global Content: Next in Tech podcast: Agentic Customer Experience Next in Tech episode 222:  FinOps Next in Tech | Ep. 205: Agentic AI Impacts AI for security: Agentic AI will be a focus for security operations in 2025   For S&P Global subscribers: NRF 2026 Spotlight: Agentic Experiences Redefine Retail Execution NRF 2026 Big Show signals physical retail's digital backbone Agents in the enterprise: Laying the groundwork for automation The CX AI Agent Index 2025 Agents are already driving workplace impact and agentic AI adoption – Highlights from Vot… Big Picture 2026 AI Outlook: Unleashing agentic potential   Credits: Host/Author: Eric Hanselman  Guest: Sheryl Kingstone Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

The choice of use cases in AI has a significant impact on achieving on project outcomes. The latest results of the 451 Research Voice of the Enterprise AI use cases study are out and Alex Johnston joins host Eric Hanselman to explore the data and its implications. The study highlights a widespread, yet often unstructured and fragmented, adoption of AI within organizations, indicating a stall in overall maturity despite significant growth in usage. Key challenges include a clogged project pipeline, where many initiatives remain in limited deployment, and difficulties in consistently measuring return on investment (ROI), although most projects are seen as delivering value. Organizations achieving better outcomes prioritize strong governance, consistent measurement, and "human-in-the-loop" applications, rather than attempting immediate full autonomy. There are major concerns around data quality, rising costs, and a lack of centralized control stemming from the diverse sourcing of AI capabilities and varied user proficiency. Cost concerns are driving organizations towards   More S&P Global Content: Next in Tech Episode 250: The Agentic Enterprise Next in Tech podcast: Agentic Customer Experience Next in Tech episode 222:  FinOps Next in Tech | Ep. 205: Agentic AI Impacts   For S&P Global subscribers: Survey Data Hub – Voice of the Enterprise: AI & Machine Learning, Use Cases 2026 Agents are already driving workplace impact and agentic AI adoption – Highlights from Vot… Big Picture 2026 AI Outlook: Unleashing agentic potential   Credits: Host/Author: Eric Hanselman  Guest: Alex Johnston Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

We're just out of the recent earnings season and we've seen a wild range of results and some interesting implications. Melissa Otto CFA, head of S&P Global's Visible Alpha research team, returns to discuss what that markets have been saying and what she makes of the data with host Eric Hanselman. Macroeconomic effects are having some impact, as consumer sentiment diverges across the top and the bottom of the economy. In technology, there are mixed feelings about AI as the hunt continues for use cases with decisive revenue returns. The hyperscalers are continuing to invest capital at staggering rates and, so far, the markets have mostly approved. AI supply chain companies, like NVIDIA, are generally moving forward with solid results. The larger question is where is the AI boom headed. There are constraints not only in supply chains for data centers, but also in energy supply. Agentic AI has a lot of promise, but needs to prove out its value and earn trust, as providers look to improve efficiency with more targeted silicon, like ASICs, to stand up alongside the forests of GPU's being deployed. As investors hunt for improved returns, they may be rotating to international opportunities and small cap companies that might be able to see faster returns from AI deployments. More S&P Global Content: Next in Tech podcast: Agentic Customer Experience Nvidia GTC in DC Blackwell expectations increase Otto: Markets are grappling with how to price AI-related stocks   Next in Tech podcast, Episode 239: AI Infrastructure For S&P Global Subscribers: A view of peaks and plateaus AI to lead tech spending in 2026, but orgs losing track of energy efficiency – Highlights from Macroeconomic Outlook, SME Tech Trends Hyperscaler earnings quarterly: Alphabet, Amazon and Microsoft charge ahead on AI capacity buildouts Agents are already driving workplace impact and agentic AI adoption – Highlights from VotE: AI & Machine Learning Big Picture 2026 AI Outlook: Unleashing agentic potential Credits: Host/Author: Eric Hanselman Guest: Melissa Otto, CFA Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith