recentpopularlog in

jonerp : collar   10

IBM Red Hat: Reading the tea leaves
"Reading the tea leaves, though I wonder if this signals

a) The end of another hype cycle for AI?

I saw a recent Fortune issue which was all about AI and I wondered if that is a signal of the peak of the current AI hype cycle. BTW, we are going through the 4th or 5th hype cycle around AI. They appear and disappear every decade or so. As I wrote in Silicon Collar"
business  featured  posts  bluehat  cloud  computing  ibm  redhat  saas  silicon  collar 
october 2018 by jonerp
The Future of Workin an automated world - by @dealarchitect
"A guest speaker was J.P. Gownder of Forrester. He had a nice framework for how work is evolving – machine-first, machine-human teaming and humans-first. Even in machine-first scenarios like at the Goldman Sachs cash equities desk, the number of traders has dropped from 600 in 2,000 down to 2. But now 200 software engineers support the automated trading. In contrast, in a human-first scenario, Autodesk is hiring novelists to write scripts for its chatbots. He had plenty of other examples of man leading or following machines or teaming with them. But each still has a human element."
featured  posts  trends  &  concepts  industry  commentary  silicon  collar 
december 2017 by jonerp
Tone down your AI expectations - by @dealarchitect
"Ginni does not overtly talk about it, but 50% of IBM revenues come from services. Go ask early Watson healthcare clients how much of the tab was in services. IBM’s interest in Salesforce’s AI tool, Einstein is being driven by its Bluewolf services unit. Amazon offers its engineers as consultants via its ML Solutions Lab, Google via its The Machine Learning Advanced Solutions Lab. We will need highly skilled labor to train the machines. And we will also need tactical labor to keep refining the data. Amazon has its talent networks – the Kindle author, the Flex courier, the Mechanical Turk and fulfillment networks it can mine. Apple has its iTune and iOS networks to draw from.

Enough usable data, enough compute, enough talent? Take a hard look at each from the lens of your AI project."
featured  posts  trends  &  concepts  industry  commentary  silicon  collar 
december 2017 by jonerp
Two decades of HR Tech - by @dealarchitect
"After my last book, Silicon Collar about automation, I get the sense HR is in for a huge change over the next few years. Automation via AI, robotics, drones, wearables – is changing the nature of work in every profession. We will see new job titles emerge we did not anticipate just a few years ago. More of the workforce will be on platforms, in franchises and other “extended enterprise” formats."
trends  &  concepts  cloud  computing  saas  silicon  collar 
december 2017 by jonerp
Automation and Jobs: the tide turns - by @dealarchitect
"James Surowiecki writes in Wired “It’s a dramatic story, this epoch-defining tale about automation and permanent unemployment. But it has one major catch: There isn’t actually much evidence that it’s happening.” He quotes Andrew McAfee, co-author of The Second Machine Age, saying “If I had to do it over again, I would put more emphasis on the way technology leads to structural changes in the economy, and less on jobs, jobs, jobs. The central phenomenon is not net job loss. It’s the shift in the kinds of jobs that are available.”
featured  posts  technology  software  silicon  collar 
august 2017 by jonerp
A more realistic, less alarmist Oxford study on automation and jobs - by @dealarchitect
"And yet, I wish this new study had surveyed practitioners, not just AI experts. They would have heard automation is still too expensive. That their industry regulators take a long time to approve technology in the workplace.

And I wish they had considered what I called in my book societal “circuit breakers” to rapid adoption of automation."
featured  posts  trends  &  concepts  industry  commentary  silicon  collar 
august 2017 by jonerp
Enterprise processes and systems in a world of growing automation - by @dealarchitect
"robotIn recent blog posts you have seen me combat what I consider alarmist scenarios about job losses from automation being painted by many analysts, academics and folks in Silicon Valley. My perspective is automation targets individual tasks done by humans, not complete jobs. Human workers will keep moving to higher value activities. And, as a result, business processes and enterprise applications will similarly need to evolve."
technology  software  silicon  collar 
december 2016 by jonerp
The future of work in an automation era - @denispombriant on @dealarchitect's Silicon Collar
"In Silicon Collar, Mirchandani gives us a surfer’s-eye view of the next wave or at least the candidates for next wave. At this point there are many pretenders competing for the mantle and often the winner is hard to predict. Our current era, Information and Telecommunications has roots in the Space Program and the race to the moon. If you were alive then you would have bet anything that the next big K-wave would have had something to do with flying cars and many people predicted this but they were wrong."
books  silicon  collar  vinnie  mirchandani 
october 2016 by jonerp
The Alt-Job economy - by @dealarchitect
"Before you scoff and say it’s not a great living let me share some anecdotes from my network. A former ERP exec runs our local UPS store franchise, a former bank manager runs a franchised Kona Ice truck, a former systems integrator runs 2 restaurants and a gourmet grocery store, our pool service is run by a couple, both college graduates."
trends  &  concepts  silicon  collar 
october 2016 by jonerp
An inflection point for HCM executives - by @dealarchitect
"HCM executives need to face up to another reality in the workforce. Never before have workers had so much choice in jobs. The Bureau of Labor Statistics classifies workers into one of 840 detailed occupations. does an even more granular listing and lists 12,000 separate jobs."
featured  posts  trends  &  concepts  #hrtechconf  hcm  silicon  collar 
october 2016 by jonerp

Copy this bookmark:

to read