Join getAbstract to access the summary!

Agentic Intelligence

Join getAbstract to access the summary!

Agentic Intelligence

Strategy at the Speed of Data

Forbes Books,

15 min read
10 take-aways
Audio & text

What's inside?

The AI agents are coming to work. Are your data, people, and leadership ready to catch up?

  • 0.5×
  • 0.75×
  • 1×
  • 1.25×
  • 1.5×
  • 1.75×
1×

Editorial Rating

8

getAbstract Rating

  • Overview
  • Hot Topic
  • Insider's Take

Recommendation

Successfully working with agentic AI requires changing how your organization’s people, data, and systems work together. In this helpful text, technology transformation experts Manish Sood and Venkat Venkatraman guide you through that process. Learn why connected and trustworthy data matters and what it takes to move from isolated AI pilots to organization-wide systems. By building AI literacy, creating continuous learning between humans and agents, and establishing shared contexts and objectives, you can lead your people in properly supervising and collaborating with intelligent systems.

Summary

To work effectively, agentic AI needs a continuous flow of data from across your organization.

Agentic AI does not simply analyze data. It can learn from information, make decisions, predict what may happen, and take autonomous actions. However, these systems are only useful when they can access the right information from across an organization. For example, Tata Steel brings together data from sensors, analytics, digital “twins” of real-world systems, and AI to boost production, save energy, improve safety, and inform decision-making. Its leadership treats data as a company-wide priority, directing investment toward it, bringing different departments together, and training employees how to work in a more digitally connected operation.

A company can collect data all day long, but if its AI can’t access that data when and where it needs it, then it won’t be useful. When Walmart connected information from its physical stores, online business, and supply chains, its systems could track inventory, predict when products needed to be restocked, and support faster planning. This kind of data structure works less like a file cabinet and more like a brain: Connections allow...

About the Authors

Manish Sood is the CEO, Founder, and Chairman of cloud-native master data management (MDM) and context intelligence platform, Reltio. Venkat Venkatraman is a leading global authority on digital business strategy and is currently a Professor Emeritus at Boston University.

Comment on this summary