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Data and AI Impact Report: The Trust Imperative

New research shows that without this, your AI initiatives will lack clarity.

Trust is key

Did the report title give it away?

There are two elements of trust to consider: how much we trust AI and whether the technology itself is truly trustworthy.

When there is a divide between these two and our trust and use of AI outpaces its trustworthiness, innovation and ROI disappear.

Investment in responsible AI

   

lack alignment

Trust in AI

Investment in Responsible AI

   

lack alignment

Trust in AI

Invest in responsible AI

Organizations that invest in responsible AI and strong governance see higher ROI, while even the most advanced organizations underperform without it.

   

of organizations plan to moderately increase investments in responsible AI.

   

expect to significantly increase them.

Set strategic goals

If your AI goal is to save money, are you already losing?

You might be.

The report shows that AI value comes from reimagining processes across the organization, not trimming budgets. 

Top AI priorities

Personal productivity
Process efficiency
Decision making

Prepare for agentic and quantum AI

Organizations are quickly moving beyond generative AI and into agents and quantum technologies. But most aren’t ready.

Main challenges impeding AI progress

   

Non-optimized cloud data environments

   

Insufficient data governance

   

A shortage of skilled specialists

Dive into the research

If you or your organization use AI, you can’t ignore this report.

Dive into the research

If you or your organization use AI, you can’t ignore this report.