The Sonos One is a smart little speaker. Using Google Assistant and IFTTT.com make it even smarter.
Chatbots are relatively straightforward to deploy these days. AI providers like IBM and others provide all the technology you need. But do you really need them? And if you already have a bunch of them deployed, are you doing it right? If these questions have you wondering, I recommend you read this: Does Your Company Really Need a Chatbot?
You still may want to proceed with chatbots: they make a lot of business sense for certain types of work. But you will have a better idea when not to use them, too.
What are some of the flaws with facial recognition software? Too many for me just to list. Instead, read this article to get a sense of how bad this software can be.
San Francisco is in the vanguard of trying to rein in this technology. Let’s hope more jurisdictions do the same.
I am glad to see more articles highlighting the difference between ML and AI. For example, this one: How machine learning is different from artificial intelligence – IBM Developer.
There is still lots to be done in the field of machine learning, but I think technologists and scientists need to break out of that tight circle and explore AI in general.
(Image: from the article)
Nope. And this piece, Machine Learning Vs. Artificial Intelligence: How Are They Different?, does a nice job of reviewing them at a non-technical level. At the end, you should see the differences.
(The image, via g2crowd.com, also shows this nicely).
Possibly, but as this article argues, there are at least three areas where robots and suck at:
Creative endeavours: These include creative writing, entrepreneurship, and scientific discovery. These can be highly paid and rewarding jobs. There is no better time to be an entrepreneur with an insight than today, because you can use technology to leverage your invention.
Social interactions: Robots do not have the kinds of emotional intelligence that humans have. Motivated people who are sensitive to the needs of others make great managers, leaders, salespeople, negotiators, caretakers, nurses, and teachers. Consider, for example, the idea of a robot giving a half-time pep talk to a high school football team. That would not be inspiring. Recent research makes clear that social skills are increasingly in demand.
Physical dexterity and mobility: If you have ever seen a robot try to pick up a pencil you see how clumsy and slow they are, compared to a human child. Humans have millennia of experience hiking mountains, swimming lakes, and dancing—practice that gives them extraordinary agility and physical dexterity.
Read the entire article; there’s much more in it than that. But if your job has some element of those three qualities, chances are robots won’t be replacing you soon.
Here’s an assortment of 42 links covering everything from Kubernetes to GCP and other cloud platforms to IoT to Machine Learning and AI to all sorts of other things. Enjoy! (Image from the last link)
