At issue are talent shortages, integration challenges, and governance requirements, a recent survey of 700 IT managers and executives finds.
Latest from Joe McKendrick
Some tools and platforms promise fair and balanced AI, but tools and platforms alone won't deliver ethical AI solutions.
Artificial intelligence can pave the way to autonomous operations, but requires an intelligent data supply chain behind it.
Artificial intelligence for IT operations, or AIOps, could help IT run in a more unattended fashion. But the necessary data may not be ready to sustain it. 'Data is either going to be an obstacle or a shortcut to get to your AIOps benefits'
Could the tech giants take control of the AI narrative and reduce choices for enterprises? Experts weighed the pros and cons in a recent online conference.
Many AI systems are developed under the assumption that 'whatever we want from AI, we're going to press the button, and as if if by magic, it's going to deliver the result to us.'
'There needs to be a feedback loop to ensure customers are enjoying the experience as much as you're enjoying creating the experience.'
'Bias in AI is not solely a technical problem; it is interweaved across departments.'
A call for more awareness and training behind AI deployments. Not just for developers and data scientists, bur also product managers, executives, marketing managers, and merchandisers.
The challenge is putting people first in any and all AI projects. AI practitioners provide recommendations for building a people-centric, yet AI-driven culture