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Finally, folks are getting the real picture around re-tooling and retraining folks for new jobs in an oncoming AI future. In my posts; I have highlighted the need for governments and businesses to retrain people as well as ensure that their is some level of funding established to assist displaced workers, and especially as we see the maturity of Quantum in the AI space this will definitely be a must.


Untitled“If every tool, when ordered, or even of its own accord, could do the work that befits it… then there would be no need either of apprentices for the master workers or of slaves for the lords.” – Aristotle.

Humans have such a love/hate relationship with technology that it’s almost comical. All of our own creation, once we’ve perfected amazing innovations, we often turn on them–when convenient. As the PC became common and marketed toward the masses in the 80s, a new world of automation, both good and bad, was predicted. As mad scientists tucked away in secret, underground labs began creating evil robots in a slew of sci-fi movies that we consumed greedily, along with becoming affectionate toward machines like C-3P0 and R2-D2 just birthed in what would be a continuing pop subculture with a momentum of its own, our imaginations ran wild. Fearmongers cited that automation would make many jobs obsolete; robots would begin doing what was left as an economic apocalypse ensued for the human race.

In truth, the birth of the computer created a huge industry of jobs, from manufacturing and maintenance to advanced software engineering and entire IT departments. And although it’s been predicted through the ages that robots would begin doing all of our tasks, how many of us are actually employing robots in the home or office–and how many people do you know who lost their jobs because it was given to a humanoid instead? Probably none. But still, yes, there are whispers saying that may change one day soon. And while we’ve all heard that talk for decades past, it is undeniable that innovation on nearly every level has been accelerated recently, and is predicted to continue as 3D printing, artificial intelligence, and robotics evolve–just as a few examples.

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Healthcare has a new set of hospital cleaners through Maidbot.


Maidbot, an Ithaca-based startup run by Cornell students that combines hospitality and robotics, has gained attention in several competitions around the country, most recently competing against 14 other college startups in the RECESS Pitch Competition earlier this month. “With this new automated system we were really excited to revolutionize and transform the hospitality industry.” —Micah Green ’18.

Additionally, Maidbot was announced as one of 32 semi-finalists in the Student Startup Madness competition — a collegiate startup tournament at SXSW — earlier this month. If Maidbot is to win in the semi-final round, the startup will be able to pitch to investors in Austin, Texas, in March. Inspired by the television show The Jetsons, Maidbot is a robot created to assist hotel room attendants with housekeeping tasks. Micah Green ’18, a co-founder of the company, had previously worked as a room attendant at a hotel.

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On a mire humerous note:
AI and particularly robots; can easily pick up on people’s patterns/ styles to the point where they can write your speeches and possibly develop your PowerPoint presentations. Procrastinators will no longer have to stress about pulling their slides together, interns will have more availability to work on projects, and politicians will sound like a pro with this robot.

BTW — the robot in this articile was so good at mimicking the politician; that the robot (just the politician) in the speech kept thanking everyone in the chamber after it yielded time back to the speaker. Maybe our politicians will start sending their robots to vote for them in the future.


Computer researchers have created programs that can do the job quite nicely, explains Brian Fung.

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The future looks exciting for businesses and their customers with all of the great AI technology that is coming. However, I still find two major “gaps” in all of these stories. The gaps are Transformation & Adoption. Sure we have all types transformation models and some make reference to AI. However, I have not seen a full AI Transformation model that includes the migration footprint of processes and information onto AI (including robotics), or addresses the Cyber Security Footprint that is needed, and how about how we budget for this type of investment; etc.

And, you do have a transformation of processes and activities on even robotics even if the robots are fully self-automated/ humanoid there still is a migration of processes and activities. How do you determine what is and what is not effective and where is the real ROI realized v. not as much and when. Remember AI is a big up front investment and you have to have these answers to justify it. Also, how do you know what type of AI is effective and not effective for your business; there is a whole array of AI coming and you have to figure out which is the right AI for your business today and in the future.

I advise many to revisit their own transformation models and start revamping them because AI is here and it is only going to grow from here. And, if anyone happens to claim they have one; I would love to see it because I have not seen one that addresses all of the key areas that need to be addressed.


Organisations are feeling the pressure to remain competitive and are turning to new technologies to give themselves an extra edge. There has been a lot of discussion around artificial intelligence (AI) and intelligent automation, but how can companies incorporate them into their existing businesses in order to stay ahead of the pack? We have some pointers.

Super circuit man image from Shutterstock.

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Definitely, we’re already seeing the research releases on microbots.


A famed futurist who foresees a day when and human and artificial intelligence merge and nanobots battle disease spoke to CBC’s Duncan McCue about what lies ahead.

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Self driving cars to reach a $4bil revenue target within 10 yrs.


The White House wants to spend nearly $4 billion on self-driving cars, a move some experts say could help put extra horsepower behind autonomous vehicles and have them cruising America’s streets within the next 10 years.

“That is a serious amount of money,” Wendy Ju, executive director of Stanford’s Center for Design Research, told NBC News.

If those dollars make it into the budget, the money would be used for “pilot programs to test connected vehicle systems in designated corridors throughout the country,” according to the Department of Transportation.

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