The Alphabet smart city project in Toronto is poised to move forward with a lot of good intention, but still with some looming questions around the use of data. Exploring the project, how it will help the environment and what will happen to all of the data?
The IoT is still expanding. How will we manage and maintain the networks, data, clouds and connections that govern and transmit this data? An IoT skills gap may be standing in our way.
Elon Musk is touting startup Neuralink and a new microchip technology that may have significant health benefits, but it comes with big ethical challenges.
While FedEx canceling its Amazon contract might be news, it’s Amazon’s move into the logistics vertical that I’m watching. Here’s why.
Best Buy moves deeper into healthcare in general and the senior care market in particular with the acquisition of Critical Signal Technologies. Both Great Call and CST complement Best Buy’s existing customer care capabilities Geek Squad (tech support) and In-Home Advisors. These two customer care teams will be able to support senior citizens in the home, as well as provide senior health care. It also protects and pivots a traditional retail brand originally known as a great place to buy a computer or a TV into something much, much more.
Oracle’s customer-centric enhancements to its CIS offerings are attractive. But Oracle’s work, especially related to 5G environments, doesn’t stop there.
Robotic process automation lies on the simpler side of AI, but it plays an increasingly important role in helping companies prepare themselves for greater digital transformation.
While hiring data scientists that specialize in certain aspects of data management might seem like the best route, hiring a data generalist could actually be more beneficial.
Automation isn’t a cure-all, but businesses that understand the process and develop specific solutions are more likely to reap the benefits and see a decent ROI.
Data fuels the digital transformation process and companies everywhere are hiring data scientists. What data scientist skills should companies look for?
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