There are over four billion existing internet users in 2021, but another three billion have yet to join the digital population, often through illiteracy. The economic power of access to digital communications has been proven over and over in Africa and Asia. Farmers and fishermen find the market with the best price for their goods,…
Watson Orchestrate is part of IBM’s larger automation strategy to help users be more productive by automating tasks. In IBM’s own words: Self-service automation Your own personal AI, in the tools you already use. Watson Orchestrate gives you interactive AI–in tools like email and Slack–to increase your productivity. This isn’t a static bot programmed by…
Just as autonomous vehicles are held out as a potential future for transportation, autonomous factories and plants are a possible future for at least some forms of manufacturing. With the rapid advancement of artificial intelligence (AI) and machine learning (ML) applications in the asset performance management (APM) space, coupled with the fact virtually every control…
Despite COVID-driven tech investments, the majority of manufacturers will fail in digital transformation through the end of 2022. I say this because, while COVID is really driving investment in technologies like AR/VR, Automation, AI, Machine Learning – the applications of these technologies have helped to mitigate the disruptions that COVID has caused – but the…
Beyond what it is already doing, with a little more audacity Machine Learning could help us decipher the mysterious COVID-19 crisis and fight its successors.
It’s not just AI, of course. It’s the effects of the combination of the intertwining of analytics, automation and AI (A3) and the different ways and paces various telcos experiment with and embrace the revolutions that A3 will bring. The differences in ways and paces will create three new and different classes of telcos –…
Has a computer solved an outstanding 50-year old scientific problem? Has General Artificial Intelligence arrived on November 30, 2020?
Harsh criticisms of the scientific foundations of AI are accumulating and the trend sped up steeply in 2020. This may delay AI deployment by some years but it will do the technology (and you) well.
Machine Learning, AI’s most successful enabling technology, has not unfolded its full potential yet. The 2020s will show us more of what it can do for business and society.
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?
