
Sign up to save your podcasts
Or


For the 250th episode, we're looking a bit further forward to explore what enterprises should be thinking about as they look to put agentic capabilities to work. Melissa Incera, Alex Johnston and Sheryl Kingstone return to discuss the challenges and potential with host Eric Hanselman. As AI agents evolve beyond simple chatbots in customer experience and business operations, enterprises have to adapt both their infrastructure and data management capabilities to benefit from agentic potential. Automation is great, but getting to fully autonomous operations requires building more trust than exists today for most. In fact, 451 Research Voice of the Enterprise study results show that those who show a healthy skepticism about agent capabilities are the most successful in achieving their AI project goals.
Agents are making big step forward in establishing continuity in processes by adding memory to AI model interactions. At the same time, concerns about cost are bringing up the need for the same types of visibility and control that's being used with FinOps efforts in cloud. All of this is taking place in an evolving regulatory landscape where the need for a balanced approach between innovation and safety is guiding the best outcomes.
More S&P Global Content:
For S&P Global Subscribers:
Credits:
By S&P Global Market Intelligence4.9
2828 ratings
For the 250th episode, we're looking a bit further forward to explore what enterprises should be thinking about as they look to put agentic capabilities to work. Melissa Incera, Alex Johnston and Sheryl Kingstone return to discuss the challenges and potential with host Eric Hanselman. As AI agents evolve beyond simple chatbots in customer experience and business operations, enterprises have to adapt both their infrastructure and data management capabilities to benefit from agentic potential. Automation is great, but getting to fully autonomous operations requires building more trust than exists today for most. In fact, 451 Research Voice of the Enterprise study results show that those who show a healthy skepticism about agent capabilities are the most successful in achieving their AI project goals.
Agents are making big step forward in establishing continuity in processes by adding memory to AI model interactions. At the same time, concerns about cost are bringing up the need for the same types of visibility and control that's being used with FinOps efforts in cloud. All of this is taking place in an evolving regulatory landscape where the need for a balanced approach between innovation and safety is guiding the best outcomes.
More S&P Global Content:
For S&P Global Subscribers:
Credits:

1,996 Listeners

2,707 Listeners

1,660 Listeners

1,099 Listeners

180 Listeners

6 Listeners

1,452 Listeners

40 Listeners

10 Listeners

6 Listeners

671 Listeners

232 Listeners

27 Listeners

28 Listeners

9 Listeners

4 Listeners

62 Listeners

28 Listeners

11 Listeners

10,274 Listeners

4 Listeners

5,548 Listeners

207 Listeners

1 Listeners

66 Listeners

199 Listeners

152 Listeners

6 Listeners

3 Listeners

0 Listeners

6 Listeners

5 Listeners

5 Listeners

66 Listeners