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How to build better AI agents for your business - without creating trust issues

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Why This Matters

The adoption of AI agents is rapidly transforming the tech industry, impacting professional roles across sectors. Building trustworthy and effective AI agents is crucial for businesses to leverage AI's full potential while maintaining user trust and ethical standards. Staying informed about best practices and innovative applications will be essential for companies aiming to stay competitive in this evolving landscape.

Key Takeaways

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ZDNET's key takeaways

Companies are exploring AI agents in multiple ways.

Professionals must consider how to exploit these technologies.

Measurement, collaboration, and experimentation are key.

AI agents will impact every professional role. If your company hasn't started using agents yet, it will soon, either through off-the-shelf software products or in-house tools that draw on large language models and data sources.

Professionals exploring how to use agents in their roles are well-advised to seek best-practice guidance. One such source of information is Joel Hron, CTO at Thomson Reuters Labs, who is helping the information services company exploit generative AI, machine learning, and agentic technologies.

Also: Worried AI agents will replace you? 5 ways you can turn anxiety into action at work

Hron told ZDNET that Thomson Reuters uses a mix of in-house models and off-the-shelf tools to power its AI innovations. As well as advances in frontier labs from Big Tech firms, Hron and his team ensure the firm exploits its proprietary knowledge and assets.

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