Artificial Intelligence | News, how-tos, features, reviews, and videos
As true digital transformation takes hold, IT and business leaders are assessing what's working and looking out to the challenges and opportunities ahead.
Enterprises will continue to experiment with virtual assistants and chatbots in 2017 as they look to balance better customer service with operational efficiency.
Technology's leading companies drove the evolution of artificial intelligence in 2016, and Apple, Facebook, Google and Microsoft are all expected to push AI much further in 2017.rn
In 2016 IT departments received technology that disappointed, didnu2019t deliver, took the wrong direction or didnu2019t arrive at all. Hereu2019s what your IT team is still waiting for as we head into 2017.
Machine learning operations, or ML Ops, can help enterprises improve governance and regulatory compliance, automation, and production model quality.
Columnist Rob Enderle writes about a variety of tech things we should have focused on in 2016 and looks forward to a better 2017.
AI and machine learning can help identify diverse candidates, improve the hiring pipeline and eliminate unconscious bias.
We are all sick (literally) and tired of the endless rounds of 'catch the data thief' playing at a hospital near you. Since these hospital attacks begin in 2014, they seem to get worse each year. Now industry pundits are indicating that 201
I review my predictions for 2016, and offer a set of predictions for 2017 (while duly acknowledging that some things are unpredictable).rn
As companies look for more efficient ways to provide value to their customers, natural language processing (NLP) is providing an alluring solution. The power of NLP can be deceptively disruptive providing consumer empowerment in incremental stages.
The next wave of advancements in artificial intelligence will consider how chatbots reside within a human system and how rapidly they adapt to changes in their environments.
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