Gartner claims people are warming to AI

“’Four years ago, AI implementation was rare, only 10% of survey respondents reported that their enterprises had deployed AI or would do so shortly,’ said Chris Howard of Gartner. “For 2019, that number has leapt to 37% – a 270% increase in four years. “If you are a CIO and your organization doesn’t use AI, chances are high that your competitors do, and this should be a concern.”

Adidas Partners With Findmine On AI Shopping Experience

  • “Adidas is partnering with artificial intelligence (AI) platform provider Findmine to offer complete product recommendations on the retailer’s site.
  • Before the solution, Adidas merchants would have to manually put together outfits for its online “Complete the Look” feature — a process that took 27 steps and 20 minutes to finish, and resulted in fewer than 10 percent of products appearing in the feature.
  • Since the tech was officially rolled out, Adidas has seen a 95 percent decrease in the time merchandisers spend on Complete the Look, while the number of items featured in the outfits has increased by 960 percent.
  • “Our website is the most important store we have in the world,” Kasper Rorsted, chief executive of Adidas, said at the time.”

Become an AI Company in 90 Days

“Researchers are continually publishing effective AI models. Hardware is a commodity. But build the highest-quality proprietary dataset and you’ll crush the competition every time.”

I had a day off and the electrician took down my power for the day so I had some much anticipated time on my hands. And just as any other geek would do…I used the time to tear through an unsolicited but gratis book I received in the mail over the holidays.

The book titled, “Become An AI Company in 90 Days,” was written by Kevin Dewalt and produced by Russ Rands.

The book is broken into 4 parts including:

  • AI Fundamentals
  • Discovering AI Opportunities
  • Building a Winning Strategy
  • Launching Your First AI Product

Here’s the scoop:

    Author is legitimate and knows his stuff (Stanford AI experience)
    He has clearly worked with some large corporations based on some of his anecdotes (policy and cross functional alignment will be some of the toughest challenges)
    The instructions are specific and practical (top of line system for under $5K and reasonable data set size…good rule of thumb is 50,000 labeled examples)
    Book length of 132 pages is easily consumable in an afternoon
    Content is well written and understandable without an advanced degree in mathematics
    Includes examples that help bring the material to life (automated claims processing for the AI Canvas tool)

My Review: It’s a solid “A” and I recommend you check it out.

Get a free copy:

Note: I do not have any personal or professional connection to the authors, and I do not have any financial interest in the company or the book

More than 70 Different AI Solutions Currently Deployed in Banks According to New Survey

“A new research report from Mercator Advisory Group titled 70+ Processes Banks Have Already Improved Using AI identifies processes that have been upgraded through the use of artificial intelligence technology. These processes were selected by bank survey respondents from a total of 104 different potential solutions that exist in 13 different business areas, including payments, regulatory, call center, trade desk, IT, and legal. All but one of these 13 business areas had multiple processes that had been upgraded with AI according to the survey responses.

“The breadth with which AI has already been deployed across multiple departments with these banks was a surprise,” comments the author of the report, Tim Sloane, VP, Payments Innovation, and Director, Emerging Technologies Advisory Service at Mercator Advisory Group. ‘However, more surprising was the depth to which AI has penetrated these departments. As an example, regulatory compliance departments reported 13 different business processes where AI is used. The legal department reported 9 different processes. Clearly the large banks are all in on AI and it suggests smaller institutions and their solution providers need to quickly step up their game.'”

Everything you need to know about the Fourth Industrial Revolution

“The Fourth Industrial Revolution will take center stage at the World Economic Forum’s (WEF) annual meeting next week in Davos, Switzerland.

Simply put, the Fourth Industrial Revolution refers to how technologies like artificial intelligence, autonomous vehicles and the internet of things are merging with humans’ physical lives. Think of voice-activated assistants, facial ID recognition or digital health-care sensors.

It took 75 years for 100 million people to get access to the telephone; the gaming app “Pokemon Go” hooked that many users in less than one month in 2016.”

AR Shopping Apps to Help You Avoid Buyer’s Remorse

“We’ve all become accustomed to online shopping, but it has its limits. Every full shopping cart comes with it the risk of a letdown when your order arrives. The color, the size, the look, any number of things could be off and require the most dreaded of tasks: returning through the mail.

Enter augmented reality. With the help of developer tools like Apple’s ARKit to Google’s ARCore, apps are becoming more immersive. It’s slightly surreal to see pieces of furniture popping in and out of your living room or different shades of lipstick showing up on your lips. Check out some of our favorite AR-enhanced apps below.”

Would Saints fans be interested in “Smart Officiating” leveraging artificial intelligence

For the record, I am not a New Orlean Saints fan. My team is the Indianapolis Colts. However, I am an avid sports fan.

With that in mind I ask…how quickly can we replace officials and referees with artificial intelligence?

Watch: Referees Appear to Miss Blatant Pass Interference Call Late in NFC Championship

Here are a few articles I found on the topic.

What would the Super Bowl look like with AI referees?

“It’s late in the fourth quarter of Super Bowl LI. The Falcons are facing third and goal on the Patriots’ five-yard line. Matt Ryan takes the snap and hands off to Devonta Freeman, already running hard at the goal line. Then, with a crunch audible to the topmost rows of NRG Stadium, Freeman is brought down by Dont’a Hightower right at the goal line. Touchdown?! Silence falls as all eyes turn… not to the referees on the sidelines (there aren’t any) but to giant LCD panels behind the end zones. The screens remain black for several long moments until “TOUCHDOWN” lights up. A roar erupts from half of the stadium.

Where were the referees in this fictional account of the upcoming Super Bowl LI? They’ve been automated by artificial intelligence systems hooked up to networks of sensors worn by the players and high-speed cameras strategically positioned throughout the stadium.”

Smart umpiring

“The umpires also analyze data to see how they can improve their officiating. Nili says anything that can help them to get the right call is generally welcomed, adding there has been a long history of augmented umpiring.

“The umpires provide first tier stats like aces and faults,” he explains. “We’ve had a device since the 1980s to record this and since the 1990s with the advent of the internet, we’ve offered live scoring. If you think about it, tennis is the only sport where live scoring comes from the umpire. When the umpire enters 15-0, then it goes to the database, to the mobile phones.

“When you sit in the chair your number one objective is to not miss anything. If there is a technology that can help with that, that’s a positive. It’s not just the mistakes. Sometimes a player will argue with you about a call you got right and not let it go. Now with Hawk-Eye, it shows you got it right.”

In most cases, tennis is a binary sport. A shot is either in or out and there is little room for subjectivity. This would appear to make automated officiating more suitable for tennis than other sports, especially when you consider the number of line judges needed for a top-level match.”

AI sport TAKEOVER: Robot referees to REPLACE humans ‘by 2030’

“A report run by Dr Ian Pearson – who previously told this website robots will be better than Lionel Messi at football by 2045 – says officiating will be among the first aspects of football’s to be taken over by AI.

According to Dr Pearson, football fans will get used to seeing a robot linesman in less than 12 years because AI is not prone to human error.”

President Alvi urges youth to get prepared for 4th industrial revolution

“President of Pakistan, Arif Alvi has urged the local youth to get itself well prepared for the 4th industrial revolution that is fast taking the world by storm and would be the key to virtual existence.

Addressing an estimated number of 5000 candidates appearing for entrance to the Presidential Initiative on Artificial Intelligence and Computing here on Sunday, he said each and every nation/country has to be part of the game that has begun in form of artificial intelligence, data computing and information technology.”

A.I. Policy Is Tricky. From Around the World, They Came to Hash It Out.

  • “In the view of Mr. Pailhès and others, China is a government-controlled surveillance state. In the American model, coming from Silicon Valley in California, a handful of internet companies become big winners and society is treated as a data-generating resource to be strip mined.
  • The era of moving fast and breaking everything is coming to a close,” said R. David Edelman, an adviser in the Obama administration and the director of the project on technology, policy and national security at M.I.T.
  • One specific policy issue dominated all others: the collection, handling and use of data.”

Can we trust tech giants with our faces? Google, Amazon and Microsoft can’t agree on how to protect us


“A top Google executive recently sent a shot across the bow of its competitors regarding face surveillance. Kent Walker, the company’s general counsel and senior vice president of global affairs, made it clear that Google — unlike Amazon and Microsoft — will not sell a face recognition product until the technology’s potential for abuse is addressed.


Amazon’s statements and actions provide a stark contrast with Google’s approach. While Amazon CEO Jeff Bezos acknowledged his company’s products might be put to “bad uses,” he said the solution was to wait for society’s eventual “immune response” to take care of the problems. This is a shocking abdication of responsibility, not to mention a convenient blindness to the “response” that Rekognition has already engendered.


In a blog post, Microsoft President Brad Smith correctly identifies the threats the technology poses to privacy, free speech and other human rights, observing that today’s technology makes a surveillance state possible.

But then, after outlining those grave threats to democracy, Smith proposes relying on inadequate safeguards that have failed in the past with technologies far less dangerous than face surveillance. He expresses excessive faith in notifying people of face surveillance systems — but what good is that in a world where face recognition is so widespread that nobody can opt out?”