What are the top 5 problems of the business of AI? What should AI vendors do? AI market research is overestimating AI growth. Executive surveys show slow uptake. Why is AI not gaining traction like the pundits predict?
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Are some of your business processes inefficient but too complicated to exhaustively reengineer right now? Don’t overlook the ways RPA can automate small and large-scale business processes in most industries and departments. Check out where to start, what actions to take, how to organize your teams, and what to avoid.
With few exceptions, when it comes to significant, strategic AI investments, enterprises are waiting for the “IT bigs” to do it for them by enhancing their portfolios with new, AI-based capabilities. Job posting data speaks volumes. Listen to the data.
What could we do without software? Whether it’s the micrometer I use when adjusting features of the 1930’s tractor engine in my 1962 Morgan roadster, the digital thermometer we bought for the pandemic, the microwave oven we have in our kitchen, the Apple watch I wear or the cloud-based applications I access – software is…
In my first Analyst Syndicate post, I talked about the ongoing IT-OT civil war and why a CIO or other tech-related CxO needs to actively address the issue to get the most from Digital Transformation. The questions that blog raises has prompted this blog post about what the roots of the tribalism Prediction 2020 revealed…
By 2025, one third of robotic process automation (RPA) projects will reveal opportunities to accelerate and diversify revenues, but over half of those opportunities will be missed by obsessive focus on the bottom line.
By 2025, Industrial robots will become a target of “bad actors” seeking to disrupt manufacturing and production.
AI researchers don’t think of intelligence the same way other people do. On hearing that “an AI” can play GO better than human champions, ordinary people assume that those skills can generalize. After all, that’s what people do. AI has no generalized smarts.
