Improving AI Outcomes Through Context Engineering

Once upon a time, and that time wasn't all that long ago, we heard that content was what mattered. Then AI entered the picture, and enterprises shifted from content to context. Content by itself did not lead to relevancy. AI, lacking context, could all too easily misinterpret what was needed.

Orchestrating Agentic AI Systems and Workflows That Humans Can Trust

Unlike chatbots, agentic systems, at least for now, are not commonly used by consumers.  That means there are few lessons learned to transfer from daily life to work life. And for IT professionals, the non-deterministic nature of AI-based software components introduces new factors into coding and testing that challenge established practice and undermine routines.

Building Trustworthy Data Foundations for AI

A plethora of reports highlight the prevalence and dangers of AI hallucinations and other forms of inaccuracies resulting from AI applications. These errors can be traced to many different root causes, but the solutions boil down to a few methods: restrict the content to a carefully defined and structured set of validated information, protect the application through governance and monitoring, and evaluate the output to provide continuous improvement.

Governing AI for Security, Compliance, and Trust: Who Gets to Grant AI Access?

Organizations are moving AI from isolated tasks into everyday operations. A tool that started out drafting emails or summarizing documents may soon be asked to search internal files, retrieve customer information, prepare transactions, route requests, or update records.

The Trust Tax, a new research report from Stibo Systems, reveals that enterprises are paying twice for AI

It found that, although 72% of leaders are confident in AI outputs, only 65% still manually validate or rework them and even fewer, 30%, can always explain the data behind an answer.

Forrester debuts new integration with Slack

The Forrester AI app for Slack expands the reach of Forrester AI across the platforms where enterprises work.

Teradata Forwards Several Enterprise AI Customer Engagements Across Healthcare and Life Sciences

Teradata shows how healthcare and life sciences organizations are activating intelligence from their data and institutional knowledge at scale

Gartner Report: Critical Success Measures to Drive Your Customer Service AI Agent Strategy

The orchestration advantage: why platform architecture determines whether CX AI scales

MIT Technology Review Insights: The connected customer

On Demand Webinar: MIT Scaling Agentic AI Pilots