Artificial intelligence projects grew tenfold over past year, survey says
At issue are talent shortages, integration challenges, and governance requirements, a recent survey of 700 IT managers and executives finds.
Latest from Joe McKendrick
What AI developers need to know about artificial intelligence ethics
Some tools and platforms promise fair and balanced AI, but tools and platforms alone won't deliver ethical AI solutions.
The autonomous enterprise is near, but there are still some missing pieces
Artificial intelligence can pave the way to autonomous operations, but requires an intelligent data supply chain behind it.
Data quality can make or break efforts to bring artificial intelligence to IT operations
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'
Turning point for artificial intelligence: Will the large cloud providers dominate?
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.
A call to bring more human-centered design to artificial intelligence
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.'
The never-ending effort to bake common business sense into artificial intelligence
'There needs to be a feedback loop to ensure customers are enjoying the experience as much as you're enjoying creating the experience.'
Eliminating AI bias: Industry experts weigh in
'Bias in AI is not solely a technical problem; it is interweaved across departments.'
Eliminating artificial intelligence bias is everyone's job
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.
7 ways to make the wider enterprise comfortable with artificial intelligence
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