"Businesses are overwhelmed with trying to redesign their workflows and decide what information agentic AI programs should have access to. A consequence of the challenges, database technology giant Databricks noted in its recent State of AI Agents report, is that 'Only 19% of organizations have deployed AI agents, and mostly to a limited extent.'"
"'If you talk to a lot of chief financial officers, they will tell you, 'I have three concerns', Craig Wiley, the head of AI for Databricks, told ZDNET. 'Can you control it, can you tell me if it's any good [meaning, does what comes out of the model actually provide value], and how much does it cost?'"
"'Can you control it?' boils down to the practice of governance, which starts with controlling what data an agent will access. An AI agent is an artificial intelligence program that can go beyond simple turn-by-turn prompting, as offered by ChatGPT and similar bots."
Businesses face challenges in implementing AI agents due to workflow redesign and data access decisions. Only 19% of organizations have deployed AI agents, often in limited capacities. Chief financial officers express concerns about control, value, and cost. To address these, enterprises should focus on governance, correctness evaluation, and starting small to enhance efficiency and returns. AI agents can access corporate resources and execute tasks beyond basic prompting, making governance crucial for their effective deployment.
Read at ZDNET
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