Microsoft and IBM show some insights while advances in AI assistants for doctors generate mixed emotions.
Data beats theory Here’s a new empirical study of the impacts of automation and resulting employment changes on high and low wage employees over time. Empirical studies are important because they replace conjecture with reality (but it’s easier to write a paper about conjecture.)
AI and digital are now part of the fabric of business. CEOs need to deal with the existential threat from Internet-based upstarts. Focus on the second sentence.
Part 2: The emotional hurdle AI systems lack anything even remotely like our emotional systems. How are they going to successfully co-exist and interact with the humans around them?
Most of the exuberant claims of rapid growth are junk research or worse. A few firms are investing very heavily (Think of Google and Baidu for example.) Most others have bigger fish to fry (like the threat of being Amazonization.)
This is no longer science fiction. Retailers, such as Amazon (www.amazon.com) and Wal-Mart (www.walmart.com) strive to use technology to enhance and streamline their shoppers experience…
For the price of maintaining vegetation, perhaps a garden and some strategically located fruit trees around the property, an AI hive might make an excellent augmentation to a security system…
Why is AI Weaponization inevitable and very troubling? Why and how will it develop? What actions, if any, should you consider taking?
Is AI ready to compete with humans? The world is complex and unpredictable but our natural intelligence is surprisingly good at coping with reality’s twists and turns. Can AI do the same?
In reviewing key end-of-year reports, articles and research summaries, a few stand out. Most notably, let’s look at Machine Learning as a Service: Part 1 (Sentiment analysis: 10 applications and 4 services) from Towards Data Science.