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ZDNET's key takeaways
Successful adoption of AI agents requires context engineering.
Context engineering requires access to data, metadata, process flow, and more.
Context engineering ensures your data is ready for agentic AI usage.
Why is it that your existing employees initially outperform the new rockstar you've just hired? And why do you have a period of onboarding before a new hire gets up to speed?
Institutional knowledge. The new rockstar knows how to do the job. That's why you hired them. But they need time to understand the company culture, processes, approaches, applications, their team, and customers and partners.
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