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True points and many that I have been sharing on Quantum around its own potential to change everything that we know about technology (devices, internet & networking in general, wireless and satellites, AI, advancements in biotech, security, big data, and singularity itself). The author also highlights many of the same concerns that I have shared around hackers on Quantum breaking through the older digitized platforms and networks; therefore, many companies and governments are exposed as well as consumers who have not adopted Quantum.

Although the author speculates we’re less than 10 yrs for Quantum to be seen in the everyday usage; I believe we’re within 7 yrs.

Within four years quantum computers will have the beating of conventional computers and that will produce a dramatic change in both the technology landscape and in business, according to Professor Jeremy O’Brien from Bristol University.

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Google is working in secret at a spaceport in New Mexico to build and test solar-powered internet drones in a new initiative codenamed Project SkyBender, according to a report from The Guardian today. The company is reportedly renting 15,000 square feet of hangar space from Virgin Galactic — the commercial spaceflight outfit of business mogul Richard Branson — at the privately owned Spaceport America located near a town called Truth or Consequences. The lynchpin of Project SkyBender appears to be cutting-edge millimeter wave technology, which can transmit gigabits of data every second at speeds up to 40 times faster than modern 4G LTE.

Millimeter waves are thought to be the future of high-speed data transmission technology, and may form the backbone of 5G mobile networks. Aereo founder Chet Kanojia’s new startup Starry announced earlier this week it would use millimeter wave tech to bring gigabit internet speeds to people’s homes via Wi-Fi. Millimeter waves have much shorter range than current smartphone signals and are easily disrupted by weather conditions like rain, fog, and snow. Using what’s called a phased array, however, Google and others could potentially focus the transmissions over greater distances.

Google is currently testing the technique with a new solar-powered drone called Centaur and other units made by a division known as Google Titan, which the company formed after it acquired drone maker Titan Aerospace in 2014. The company has a deal with the FCC to continue testing until July, according to The Guardian. It’s also paying Virgin Galactic about $1,000 a day to use its hanger, as well as an additional $300,000 to Spaceport America to construct installations with servers, millimeter wave transceivers, and other tech onsite.

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Overall, this is a good article. However, for AI to truly take off across industry; you must understand the industries that you’re trying to enable. I keep finding this gap in all of the AI discussions.

Yes, we have opportunities in the consumer space; however, if you truly want to be embraced by industry to enable it’s front and back office operations you must ensure that the AI that you’re developing can easily support and enable businesses. Granted not all AI belongs in business and are sometimes better suit for the consumer space or government and vice versa. However, when designing and developing AI; you truly have to know up front who is your primary targeted audience and remain focused towards that audience.

Dr. Kailash Nadh, who holds a PhD in artificial intelligence from London’s Middlesex University and is the CTO of financial technology firm Zerodha, talks about why AI hasn’t picked up yet and what lies in the future.

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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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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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“But if you are familiar with the advanced search options these sites offer or read any number of books or blogs on ‘Google Dorks, ’ you’ll likely be more fearful of them than something with limited scope like Shodan”.

And it’s recently emerged that Shodan, a search engine for the Internet of Things, allows users to snoop on screenshots of anything filmed by a webcam from cash register cameras to babies sleeping in a cot. It’s pitched mainly as a security research tool and a way for businesses to monitor connected device usage, but it has also exposed controls to utilities, heating and cooling units, and traffic systems.

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In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player.

The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing ground for inventing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. The first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. But until now, one game has thwarted A.I. researchers: the ancient game of Go.

Despite decades of work, the strongest computer Go programs only played at the level of human amateurs. AlphaGo has won over 99% of games against the strongest other computer Go programs. It also defeated the human European champion by 5–0 in tournament games, a feat previously believed to be at least a decade away. In March 2016, AlphaGo will face its ultimate challenge: a 5-game challenge match in Seoul against the legendary Lee Sedol—the top Go player in the world over the past decade.

This video tells the story so far…

With Demis Hassabis, Google DeepMind.

Deep Blue photo credit courtesy of International Business Machines Corporation, © International Business Machines Corporation.

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Wise Autoresponse for your Customer Support Call Center needs — I do know that one of the large financial institutions in NYC announced in Dec. that they were replacing their tier 1 & tier 2 support with AI this summer.

BERKELEY, CA — (Marketwired) — 01/27/16 — Wise.io, which delivers machine learning applications to help enterprises provide a better customer experience, today announced the availability of Wise Auto Response, the first intelligent auto reply functionality for customer support organizations. Using machine learning to understand the intent of an incoming ticket and determine the best available response, Wise Auto Response automatically selects and applies the appropriate reply to address the customer issue without ever involving an agent. By helping customer service teams answer common questions faster, Wise Auto Response removes a high percentage of tickets from the queue, freeing up agents’ time to focus on more complex tickets and drive higher levels of customer satisfaction.

“Wise Auto Response has dramatically eased the burden on our support agents, allowing us to reply to half of all tickets automatically,” said Francesca Noli, VP of Marketing at Product Madness. “Now we are able to focus agent attention on more complex, customer-facing issues like payment problems, which have a direct impact on our bottom line. Wise gives us the best of both worlds: it has the power of an artificial intelligence system like Watson, along with the lightweight integration we need to successfully apply machine learning to our service operations quickly, easily and cost effectively.”

Wise Auto Response identifies common customer inquiries that can be responded to with a high level of confidence — such as password resets and basic product functionality, or standard “thank you” email templates that don’t require hands-on follow up — and automatically responds without the need for any manually written business rules. The new functionality complements the current suite of predictive applications offered by Wise.io, including Wise Routing, which automates the support ticket triage process, and Wise Recommended Response, which provides a ranked shortlist of appropriate macros and templates for each new customer inquiry.

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VR membership HUB (YouTube for VR) ; loading & sharing your own 3D content with others.

BEIJING, Jan. 27, 2016 /PRNewswire/ — Ku6 Media Co., Ltd. (“Ku6 Media” or the “Company,” NASDAQ: KUTV), a leading internet video company focused on User Generated Content (“UGC”) in China via its website www.ku6.com, today announced that the Company has entered into a strategic cooperation agreement (the “Agreement”) with 720Yun.com to enhance the Company’s virtual reality (“VR”) strategy previous announced. The company recently launched a cooperative VR community at the following website: http://www.ku6.com/c2015/720yun/.

Ku6 Media and 720Yun.com’s cooperative VR community currently features eight categories, including aerial photography, SLR (single lens reflex) photography, virtual effects, quick mode (RICOH THETA), cities, campuses, fun and business projects. The Company expects to add additional categories to the VR community in the future.

Pursuant to the Agreement, 720Yun.com will provide three-dimensional panorama technology and contents to Ku6 Media in the form of video and picture, and serve as technical support for the Company’s new VR products. The two companies will work together in exploring and developing potential business models relating to three-dimensional panorama contents.

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Space is not a government program; it’s the rest of the Universe. Private space business is now a major factor, bent on finding investors interested in generating profits by making space more accessible to more people. Space business pays taxes to governments; it does not consume tax revenues. Further, space business can offer launch services to government agencies at highly competitive rates, thus saving taxpayer dollars. How can they do this, competing with government-funded boosters with a 50-year track record? Simple: governments have no incentive to cut costs. Traditional aerospace industry giants have a huge vested interest in boosters that were developed to military and NASA standards, among which economy was not even an issue. But innovative, competitive companies such as XCOR Aerospace and Mojave Aerospace, without such baggage (and overhead) can drive costs down dramatically. This is a proven principle: notice that we are no longer buying IBM PCs with 64 k of RAM for $5000 a unit.

Even more important in the long view, space is a literally astronomical reservoir of material and energy resources. The profit potential of even a single such resource, such as solar power collectors in space beaming microwave power to Earth, is in the trillions of dollars. What would it be worth to the world to reduce fossil fuel consumption by a factor of 20 or 100 while lowering energy costs? Can we afford to continue pretending that Earth is a closed system, doomed to eke out finite resources into a cold, dark future?

Can we afford space? Wrong question. Can businesses afford space? Yes. We get to reap the benefits of their innovative ideas and free competition without footing the bill.

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