Yep - I took the cheese again. In this case, Experts Exchange dangled some hot tech skills predictions for 2017 in front of me. I couldn't resist some back-and-forth. We got into AI. machine learning, big data, security, and... low-code?
The post Debating hot tech skills for 2016 – will AI, low-code and big data justify the hype?
In this edition: clues to Trump's tech plans emerge, though plenty of questions remain. And: jobs morph into "human intelligence platforms" as crowdworking takes hold. AI innovations, cloud migrations and agile-at-scale balances the darker side. Your whiffs include classless airlines, and Wendy's putting a social media detractor in his/her place.
Big data can be a very dull conversation. But extracting data value from verticals is a lot more interesting. Kerry Liu of Rubikloud told me why he's betting big on retail intelligence - and what he's learned about retail's data struggles. Spoiler: cloud, machine learning and personalization all factor in.
Welcome to your holiday highs-and-lows edition of hits and misses. It was a surprisingly terrific week as writers went all-in. Picks include Google and IBM versus AWS, and the low-code "business developer" debate. Your whiffs include Alexa-gone-wild, and selfies-gone-wrong - again.
In this informal, audio-only Hangout, Jon Reed of diginomica talks with two enterprise blockchain enthusiasts about the potential of blockchain in the enterprise. Fresh off a Hyperledger hackathon event, Clive Boulton and Greg Misiorek share what they've learned, and why a couple of enterprisey dudes think that the enterprise is due for some enterprisey disruption.