Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts

Friday, August 7, 2026

I Covered the Last Technology Revolution. Here's What It Taught Me About This One.

I wrote about MCX fifty times.

Fifty posts about a payments consortium most people have never heard of. Forty-four more about CurrentC, the app it was building. Sixty-nine about beacons, sixty about iBeacon specifically. Sixty-five about Apple Pay. Between 2013 and 2019 I published nearly a thousand posts on this site, and a large share of them were about how you were going to pay for things in the future.

Almost none of it happened.

I'm not bringing that up to be clever. I believed a good deal of it at the time, and the record is right here — you can scroll back and check. I'm bringing it up because I've now watched one technology cycle run the whole distance, from the launch announcements to the quiet obituaries, and I wrote it down as it went. That turns out to be a useful thing to have done, because another one is happening right now and it rhymes.

What everybody knew

In 2014, here is what everybody knew.

The physical wallet was finished. Within five years you would pay for everything with your phone. Retailers would know you had walked into the store before you reached the second aisle, because small Bluetooth transmitters — beacons — would be stuck to the shelves, talking to an app in your pocket. Your coupons would find you. The checkout line would dissolve.

This wasn't a fringe position. It was the consensus of an entire industry. Forrester published on it. Business Insider published on it. I published on it, constantly.

And the biggest retailers in America were not going to let Apple own it. So Walmart, Target, Best Buy, CVS, Sears, Kohl's and about fifty others formed a consortium — the Merchant Customer Exchange — and built their own payment app called CurrentC. It used QR codes instead of the NFC chip in your phone. It drew money straight from your bank account instead of a card, which cut the card networks out of the transaction and saved the merchants the interchange fee.

Some of the participating retailers signed exclusivity terms and switched off the NFC readers already sitting on their counters. You could not use Apple Pay at those stores. That was the point.

Meanwhile, the wireless carriers had their own entry — ISIS, which had to be renamed Softcard for reasons that became obvious in 2014.

Enormous companies. Enormous budgets. A genuine strategic rationale. Years of runway.

What actually happened

Softcard was bought for its patents and shut down inside of a year.

CurrentC never made it out of a pilot. MCX — the combined weight of the American retail industry — wound down without shipping a product at national scale. Paydiant, the company that built its technology, got absorbed by PayPal.

The beacons mostly came off the shelves. Walk into a store today and count them.

Apple Pay survived. So did the other phone wallets. But not in the form anyone described in 2014 — they became a slightly faster way to use the same credit card you already had, running on the same card networks that MCX was formed to escape. The revolution shipped as a convenience feature.

And here's the part that took me longest to see: the failures were not total either. Walmart shipped Walmart Pay in 2016. It uses QR codes, runs through the merchant's own app, and it works. The proximity technology behind beacons didn't disappear; it dissolved into store apps and order-ahead pickup, where nobody calls it a beacon and nobody writes think pieces about it.

Nothing was transformed. Nothing collapsed. Everything got absorbed, quietly, in a smaller and less interesting shape than either side predicted.

Three things I'd tell my 2014 self

**One: ask whose problem it solves, and then ask who is being asked to adopt it.**

CurrentC existed because merchants wanted to stop paying interchange fees. That is a real problem — for merchants. It was then packaged as a consumer product and handed to shoppers who were asked to link their checking account to a QR-code app in exchange for approximately nothing.

Apple Pay solved a customer's problem, badly and marginally, but it solved a customer's problem. That was the whole difference. Not the technology. Not the money.

When the party that benefits and the party that has to adopt are different people, the adoption doesn't happen — no matter how much capital is behind it.

I would now ask that question of every enterprise AI deployment I read about. A tool sold as productivity for the worker, purchased by an executive who has been shown a headcount projection, is not a productivity tool. It's a CurrentC. The person asked to adopt it can generally tell.

**Two: a consortium is a tell.**

I read MCX as a show of force. The largest retailers in the country, aligned. How do you beat that?

I had it backwards. Companies that are winning don't form consortia. They ship. A consortium is what happens when a group of incumbents is frightened of the same thing and would rather coordinate a defense than compete. It's a lagging indicator of fear, and it moves at the speed of its slowest committee.

I now read industry alliances, joint standards bodies, and shared-principles announcements in that light. Sometimes they're substantive. More often they're the sound of large organizations trying to slow something down.

**Three: the honest forecast is boring, and nobody rewards it.**

The two loud positions in 2014 were "this changes everything" and "this is a bubble." Both were wrong, and both were more fun to write than what actually occurred, which was: *some of this gets absorbed into ordinary practice over about eight years, in a form that isn't very exciting, and the interesting question turns out to be who captures the money.*

Nobody clicks that. I know, because I mostly didn't write it.

What I got wrong

I want to be specific, because a retrospective where the author turns out to have been right is worthless.

I gave beacons far more coverage than they earned. Sixty-nine posts. I was persuaded by the demos, and demos are designed to persuade. I did not ask often enough what a shopper actually gained from being detected.

I treated the MCX-versus-Apple story as the main event for years. It was a sideshow. The main event was that payments are a network business, and the networks were never in danger from any of it.

And I mistook activity for progress. Pilots, partnerships, press releases, conference keynotes — I covered all of it as though motion were the same as traction. A great deal of what I wrote is a record of an industry talking to itself.

So what does this say about AI

I want to be careful here, because the easy move is to say "AI is CurrentC" and collect the applause. I don't think that. Something real is happening — I've written about the job numbers, and I don't think they're noise.

But I'd ask three questions before accepting any confident claim about where this goes.

**Who benefits, and who has to adopt?** Where those are the same person, expect it to stick. Where they diverge, expect friction that the projections don't include, and expect the people making the projections to describe that friction as resistance to change.

**Is this shipping, or is this being announced?** Pilots are not deployment. Partnerships are not revenue. I spent years failing to make that distinction and it cost me most of my accuracy.

**Who is telling me, and what do they hold?** In 2014 the loudest voices about payments were the ones with balance sheets riding on the outcome. That is at least as true now, in both directions — the people forecasting total transformation and the people forecasting collapse are, in the main, positioned.

The one thing I'd bet on

Not that AI fails. Not that it transforms everything.

That the technology question resolves faster than the distributional one, and that the distributional one is the whole thing.

Mobile payments got sorted out inside a decade. The card networks kept the interchange. That was never a technical question, and no amount of engineering was going to change it, because it was a question about who had leverage.

The AI conversation is currently being conducted almost entirely in the language of capability — what it can do, how fast, how soon. Capability will be settled. Who absorbs the cost of the transition, and who keeps the gains, will not be settled by capability at all.

I watched an industry spend five years and an enormous amount of money arguing about technology when the argument was actually about money. I'd rather not watch it twice without saying so.

 J.W. Gant

Tuesday, April 30, 2024

BRotD Entry 0267 - Major League Baseball and AI

Best Reading of the Day

 Data is the currency of sports in the modern era. 

We have seen the major leagues transformed over the last two decades--moneyball in baseball--and the effort is ongoing and continuous.

The latest is AI-driven analysis of extreme video footage of baseball players: both pitchers and hitters.

This story is eye-opening:

https://www.washingtonpost.com/opinions/2024/04/10/op-moneyballai/

Here is a snippet from the piece.

Boddy [the owner of the data company] and his engineering team now rely on AI to blend dozens of data streams to create customized coaching regimens. I cannot emphasize enough how little this is like your weekly personal training session. Video analysis breaks down individual muscles and movements by the inch. Hardware (bats and balls) is equipped with software (sensors) that tracks every baseball action and renders them into equations that measure force and torque. Like all data-gobbling AI software, the process gets smarter as it goes; Driveline has collected enough historical performance data that it can correlate five non-baseball related physical tests into dead solid predictions of fastball velocity and bat speed.


Even in its infancy, Driveline helped Bauer become one of baseball’s best pitchers. 

The most shocking part of the story? This is coming for all of our jobs yet almost none of us will be able to afford to protect our data from our employers. The conclusion of this piece is telling:

“I have friends who are lawyers and prop traders, and it’s shocking to me how far ahead sports is when it comes to these technologies,” says Boddy. “A lot of them don’t see what’s coming.” 

Got your attention yet?

Happy Reading,

J.W. Gant

Wednesday, June 7, 2023

Will AI Save the World?

 Technological advances are driven by a few things such as need.

In Product Management we talk about Jobs, Pains and Gains.

Someone has some kind of "job" they want done and will consider hiring a solution to that job such as a bagel for breakfast.

Someone has a "pain" of some kind and a solution to that pain is valuable. Such as an unstable form of high explosive like nitroglycerin causing death and uncertainty, eventually replaced by TNT, a stable high explosive.  Of course, this led to artillery shells and the massive loss of life in The Great War (WWI).

Someone has a "gain" they wish to realize such as revenue and will consider your solution to help them.

Artificial Intelligence advances are being driven by these and other reasons such as intellectual curiosity, scientific curiosity, etc. Will all of AI be of benefit to humankind?  Will all of it be to the detriment of human kind?  This little writeup, by a capital management firm (hmm, does this writer perhaps have motivations for writing something like this?) says AI will save the world. 

Will it?

You decide?

Here is the article:

/ai-will-save-the-world/

And here is a blurb from that piece:

What AI offers us is the opportunity to profoundly augment human intelligence to make all of these outcomes of intelligence – and many others, from the creation of new medicines to ways to solve climate change to technologies to reach the stars – much, much better from here.
AI augmentation of human intelligence has already started – AI is already around us in the form of computer control systems of many kinds, is now rapidly escalating with AI Large Language Models like ChatGPT, and will accelerate very quickly from here – if we let it.

Happy Reading,

J.W. Gant

Tuesday, May 30, 2023

The Danger of General Artificial Intelligence

 The sci-fi stories are becoming reality, becoming whispers at water coolers, becoming the nightmares of researchers at AI labs, becoming a voice in the halls of Congress, becoming a shout, and becoming a clarion call.

AI could kill us all.

That is the conclusion of the top minds in Artificial Intelligence.  Even the skeptics generally say it only "might" kill us all.

Might?

Time to hit the pause button?

Here is a Time article on the subject:

We Are Not Doing Enough to Stop General AI

Here is a snippet from that piece:

We are not prepared. We are not on course to be prepared in any reasonable time window. There is no plan. Progress in AI capabilities is running vastly, vastly ahead of progress in AI alignment or even progress in understanding what the hell is going on inside those systems. If we actually do this, we are all going to die.

Here is a recent 

AI Poses an Extinction Risk

Here is a snippet from that piece:

Leaders from OpenAI, Google Deepmind, Anthropic and other A.I. labs warn that future systems could be as deadly as pandemics and nuclear weapons.

Wow.

Then I think of The Great Filter that I wrote about in this blog and I wonder if we are really on this planet, if our purpose in life, is to create an intelligence greater than ours.  And I wonder, what happens after that?

Happy Tuesday. :-)

Best Regards,

J.W. Gant


Saturday, February 25, 2023

The New AI and ChatGPT

 AI

Artificial Intelligence

ML

Machine Learning

No it is not coming for your job but will rather augment what you do today.

More on that in a moment.

Here is a quick story about a Sci-fi magazine that had to close submissions because of the swarm of AI written material:

https://arstechnica.com/information-technology/2023/02/sci-fi-becomes-real-as-renowned-magazine-closes-submissions-due-to-ai-writers/

Here is a blurb about 

https://arstechnica.com/information-technology/2023/02/generative-ai-is-coming-for-the-lawyers/

... and a quick clip from that one ...

“Legal document drafting can be a very labor-intensive task that AI seems to be able to grasp quite well. Contracts, policies, and other legal documents tend to be normative, so AI's capabilities in gathering and synthesizing information can do a lot of heavy lifting.”

The strength of AI is in the performance of repetitive tasks.  You can visualize this as a machine in say an assembly line of a car. Where do we put robots today? Highly repetitive tasks of a very uniform standard nature.  Yes. Now take that to the intellectual world such as writing (see above) and apply the same concept. However it cannot fully replace the human in the task.

There is a lot of space there in the world to fill in the work with machines. It is already happening and has been happening for centuries.  Think of washing machines for your laundry. We used to do all the work washing each item of clothing by hand. Now the human manages the machine that does the grunt work of washing. The human is still present.

Tomorrow (today) we will have new jobs that manage the AI to ensure it is staying on task and target. Some jobs will go away, some will be created, some groups of people will gain, and some will lose. 

The wealthiest in the world see two solutions to staying ahead in the coming decades: capital and creativity.  All else will become tertiary.

Best,

J.W. Gant


Thursday, December 22, 2022

AI and Beethoven's 10th

 Yes.

His tenth.

But he only has nine you say.

Yes, but he had many sketches for his tenth at the time of his death.

So what?

Yes, we can never know exactly what he would have created had he finished it but we can gleam something from it, through Artificial Intelligence.

AI works through a process of cognition through a hero sketch and repetition, followed by an execution effort.

So we might take a very clear photo of a person, teach the AI system who that person is, then run thousands of video files through it to find instances where a person is in the frame who looks like that hero photo.

With Beethoven we have nine completed symphonies to teach the AI and a sketch of the tenth.  Why not finish it?

Here is a brief history of the 10th as it was prior to AI:

https://en.wikipedia.org/wiki/Symphony_No._10_(Beethoven/Cooper)

And here is a story about he completion of the 10th using AI:

https://www.smithsonianmag.com/innovation/how-artificial-intelligence-completed-beethovens-unfinished-10th-symphony-180978753/

Here is a snippet from that piece:

The task at hand eventually crystallized. We would need to use notes and completed compositions from Beethoven’s entire body of work - along with the available sketches from the Tenth Symphony - to create something that Beethoven himself might have written.

This was a tremendous challenge. We didn’t have a machine that we could feed sketches to, push a button and have it spit out a symphony. Most A.I. available at the time couldn’t continue an uncompleted piece of music beyond a few additional seconds.

Best,

J.W. Gant

BRotD Entry 0264 - Car Sensors Focused on Humans

We have sensors for many things in the systems we use, the devices.  Many of our devices are quite personalized.  "Siri, when do the RedSox play again?"  Our voice is known, our location, our history, all kinds of things unique to "you" are known by the AI and used (for convenience, and, to sell you things).

Cars spend all their time monitoring the road and other drivers.  What about the driver in the car? You? 

Referred to as human-centric sensors. The idea is for the system to know the human as well as so many other devices and systems do.

Read more here:

https://europe.autonews.com/guest-columnist/get-ready-wave-human-centric-sensors

Here is a snippet from that piece:

But this dynamic is changing because of the growing popularity of driver monitoring systems (DMS) that add AI-powered intelligent safety features to cars, which can detect the state and behavior of drivers.

For example, DMS can determine if a driver is experiencing symptoms of sickness or nausea and course correct the in-vehicle experience through controls such as regulating air conditioning or releasing aromatherapy, just as cruise control slows down or speeds up the vehicle depending on real-time sensor inputs.

All the best,

J.W. Gant


Thursday, September 30, 2021

BRotD - Entry 0263 Artificial Intelligence an Beethoven's 10th

Hello and welcome after a lengthy hiatus blogging!


The 'Best Reading of the Day' articles are intended to highlight useful and interesting stories I have found in technology. The domains can be quite disparate and are intended to shed light on how tech is being used.

Today's really caught my eye because of the two subjects it captures: AI and Beethoven. His 9th Symphony (a choral) is probably the best ever and my favorite. 

Turns out he had sketches of a 10th Symphony but did not complete it before his passing. Well, AI has "learned" his style of writing, taking simple movements and expanding them to whole movements, and has completed the symphony. To be released on October 9th, 2021. 

Wow!

Read more:

AI Completes the 10th

This is an amazing story!

J.W. Gant

Wednesday, July 24, 2019

How Amazon Competes and How to Compete With Amazon

This will be a short article that may lead to a deeper investigation and white paper.

What is Amazon doing besides just selling stuff online that competes with other players?

How are other players competing with Amazon in ways that may or may not include selling online?

Let's take a look at a few examples.

First Amazon.

They are masters at taking something they already do and monetize it in a new way.  They had massive data centers providing web service to Amazon.com that was mostly not in use.  They needed the massive power for their busy times.  Why not sell it as a service?

Amazon Web Services was born and now you too can host anything you can dream of in "the cloud".

This was quickly followed by others.  Microsoft Azure has found its place and there are countless players in the space now.

Here is one way Amazon is vertically integrating, taking some upstream or downstream product or service and creating a way to do it themselves.  Package delivery.

Amazon Orders Vans for Prime Delivery

Next are a couple of players that took Amazon eCommerce ideas and started providing the same solution for others.

This company is called Mirakl, a Paris based company, that has created a platform for other eCommerce sites to add resellers, just like Amazon.com does. They're the only player in the space and are big already, especially in B2B, and will be growing dramatically in the years ahead.  I promise you.

https://www.mirakl.com/

Next is a similar concept.  The product reviews that worked so well on Amazon.com became something you can add to your own eCommerce site.  Now there are multiple other players in this space but the original may still be the best.

https://www.bazaarvoice.com/

I think these responses are the correct path for all but the largest retailers.  I used to refer to retailers in a Tier level segmentation, Tiers 1 to 5.  Tier 1 was Walmart while Tier 5 was the local YMCA Christmas Tree sellers. I think there is now a super-tier reserved for those who do brick & mortar well, digital well, and eCommerce well.  How can smaller and regional players compete?  Third party providers.

Here is a great example:

https://www.retaildive.com/news/perfect-corp-rolls-out-makeup-ar-tool-for-small-businesses/559242/

Hope this gave you some food for thought.

Happy Reading,

J.W. Gant

Tuesday, April 30, 2019

The Surveillance Economy

I don't recall having heard that exact phrasing until reading this recent piece in The New York Times.

The Surveillance Economy

I've read quite a bit about how authoritarian regimes around the world are using information tech to monitor and control its people.  Facebook is not a passive player in that space.  The political space has been highlighted since 2016 and the impact of Active Measures by Russian state sponsored actors to impact the elections in the United States. Also, it has been clear for quite some time how much data companies have on potential customers.  Finally, we've seen some positioning by Apple vs. the likes of Facebook (or Google) in data privacy.

This coin of phrase was new to me however and it caught my eye.  This is a good read.  How much do companies know about us? 

Read more to find out.

Here is the full story:

https://www.nytimes.com/interactive/2019/04/30/opinion/privacy-targeted-advertising.html

Here is a snippet from the piece:

“The way ads are targeted today is radically different from the way it was done 10 or 15 years ago,” said Frederike Kaltheuner, who heads the corporate exploitation program at Privacy International. “It’s become exponentially more invasive, and most people are completely unaware of what kinds of data feeds into the targeting.”

Happy Reading,

J.W. Gant

Tuesday, October 30, 2018

Artificial Intelligence and Creative Writing

I was blown away merely by the headline for this story.

Supposedly the "creative" jobs are safe from the coming robotic overlord dystopia (tongue in cheek of course).  Not any more.  Now AI can help write creative stories.

Wow.

Just.

Wow.

Read the full piece here:

https://www.nytimes.com/2018/10/18/technology/ai-is-beginning-to-assist-novelists.html

Happy ... Writing and Reading,

J.W. Gant

PS I have completed my first fiction book and self-published online so this one really grabbed my attention.

PPS One more. A.I. defeated a team of lawyers to create an error free contract in less time.
https://m.slashdot.org/story/347623

Tuesday, September 18, 2018

Doctors, AI, the Information Age, and You

Quick.

You have a situation.  There are a set of measurable indicators the most common of which are easy to take.  Various levels or markers of each measurement point to a likely culprit and solution. The size of the data set that must be factored in is enormous, well beyond the ability of the human mind to hold all at once.

How should this be handled?

If this isn't the perfect situation for computers and Artificial Intelligence I don't know what is.

Are we talking about Amazon.com and their amazing ability to mine datasets to sell more stuff to you?  Or are we talking about medicine?

I was an Emergency Room medic in another lifetime with the United States Air Force so I have some understanding of this.  I've been a believer for many years that we need far more computer algorithm medicine and far less human emotion involved.  I've seen it first hand.  That is the premise of this article. 

Here is a snippet from the piece:

Former Google China president Kai-Fu Lee is betting heavily on artificial intelligence...
“If we look at what AI cannot do, there are really two main things,” Lee said on the latest episode of Recode Decode, hosted by Kara Swisher. “One is creative jobs. Jobs like scientists, storytellers, artists and so on. And the other are the compassionate people who really have created a human-to-human connection, trust.”

And what about the jobs that require low creativity and compassion?

“All those jobs will be taken by AI,” he said.

Here is the full article:

https://www.recode.net/2018/9/17/17867990/kai-fu-lee-ai-superpowers-book-artificial-intelligence-jobs-doctors-kara-swisher-decode-podcast

Will the IBM Watson doctors be there for your next medical appointment?  Not yet.

Happy Reading,

J.W. Gant

Tuesday, August 14, 2018

BRotD - Entry 0263 AI over A/B Testing for Advertising

Best Reading of the Day

I am working to get my head around the impact Artificial Intelligence, machine learning, will have on our world so I'm pulling in any interesting article I see on the subject.

If you've watched even one episode of the landmark television series 'Mad Men' you'll have an appreciation of the work that goes in to creative decision making for advertising.  Now let the machines do a big chunk of the work.

Here is a snippet from the piece:

Even though one of the main goals of digital marketing is to serve customers the right message at the right time, we all know what it’s like to be chased around the internet by an ad that’s completely irrelevant or just plain annoying. And that’s because deciding when and where to deliver that message, not to mention the labor that goes into creating the message in the first place, has long involved human guesswork. Granted, those guesses often come after rigorous testing, but those best tests are limited to the often slow-moving process human analysis. Until now.

Artificial intelligence has already transformed everything from the IT department to the customer service experience, and now, machine learning is on track to completely change the ways we think about ad creative.

Here is the full article, another excellent one from ClickZ:

https://www.clickz.com/how-ai-could-make-a-b-testing-a-thing-of-the-past/216302/

Happy Reading,

J.W. Gant

Tuesday, June 19, 2018

Alexa in Hotels

"Alexa, get me room service please."

"Dialing room service."

Is this what you want in your hotel?  Have I some news for you!

Me, I find the idea of a device constantly listening for you to talk to it to be a bit creepy.  Pass.

Read on:

https://gizmodo.com/alexa-for-hospitality-lets-amazon-follow-you-on-vacatio-1826947384

Here is a snippet from the piece:

For those averse to talking on the phone, hotel stays can resemble a war of attrition, testing your mettle to see how long you’ll go without calling the front desk and admitting you forgot to pack your toothbrush. But Amazon’s new Alexa for Hospitality service, which puts an Echo device in your hotel room, might let you avoid the conversation altogether, and let you bring a bit of your always-on, always-listening, always-spying smart home with you. So don’t do anything stupid.

Happy Reading,

J.W. Gant

Wednesday, May 9, 2018

Artificial Intelligence takes the World Stage

Great little article by the folks over at Business Intelligence.  Well worth your time.

AI is where the computer program is able to learn what it needs without direct input.  This is important when sets of data get so large the human cannot anticipate the needs of the computer program.  Machine learning handles the role of the human in deciding what is relevant or not.

This short piece argues AI is not coming, it is already here.  Very true.

Here is the full article:

http://www.businessinsider.com/understanding-artificial-intelligence-impacting-world-2017-10

Here is a snippet from the piece:

While AI is having an enormous impact on individuals and the smart home, perhaps its largest impact can be felt in the e-commerce space. In the increasingly cluttered e-commerce space, personalization is one of the key differentiators retailers can turn towards to stand out to consumers. In fact, retailers that have implemented personalization strategies see sales gains of 6-10%, at a rate two to three times faster than other retailers, according to a report by Boston Consulting Group.

Now if I could just get my hands on a little real intelligence, rather than artificial, I'd be all set.

:-)

Happy Reading,

J.W. Gant

Tuesday, August 8, 2017

AI Comes to Online Retail

What's the next big thing?

Artificial Intelligence, or machine learning, is definitely coming as big wave of impact.

This little article caught my eye for that reason.

https://econsultancy.com/blog/69292-this-online-retailer-uses-ai-for-product-categorisation-here-s-how/

Here is a snippet from the piece:

LovetheSales.com was founded in 2013 and is a retail sales aggregator where consumers can find more than a million sales items from hundreds of retailers.

Machine learning is used to classify these products, tagging them to enable the website to sort them into the right categories and to show a user products they may be interested in.

[Founder Stuart McClure] explains the need for a machine learning-led approach:

“Given that we’ve got that massive catalogue of products that can change and shift very quickly - as products on sale can change in price or sell out - we recognised that we needed a pretty clever tool."

Happy Reading,

J.W. Gant

Tuesday, January 31, 2017

BRotD - Entry 0246 - Artificial Intelligence - Computers Playing Poker (and winning)

Best Reading of the Day

AI is certainly a subject we'll be hearing a lot about, now, and very soon.

Like card games?  How about Poker?

That game has been a real barrier for computers over the years because of the uncertainty, and the "bluff" factor that coincides.  No more, thanks to Artificial Intelligence.

What you say?  This isn't relevant to me?  Yes it is.  AI will soon be fueling all kinds of things, such as automating jobs (eliminating jobs) around factories and warehouses, etc. If you are part of the public that thinks trade is eliminating jobs in this country you really need to look at AI.  It is and will continue to be the real job killer.  Only going to accelerate.

This is a good read:

https://www.bloomberg.com/news/articles/2017-01-31/inside-the-20-year-quest-to-build-computers-that-play-poker

Here is a snippet from the piece:

Four of the best professional poker players in the world spent most of January holed up at the Rivers Casino in Pittsburgh, losing. They’d show up before 11 am, wearing sweatpants and stylish sneakers, and sit down in front of computer screens. Each of them was supposed to play 1,500 hands of heads-up no limit Texas Hold ‘Em online before they could go back to the hotel for the night. This often meant working past 10 p.m. Over the course of the day, Starbucks cups and water bottles piled up next to the players's keyboards. Chipotle bags lay at their feet.

Every time one of the players made a move, the action was transmitted to a computer server sitting five miles away at Carnegie Mellon University.


Happy Reading,

J.W. Gant

**UPDATE** This headline caught my eye as a great supplement to the story I provided above:
A Mystery AI Just Crushed the Best Human Players at Poker
https://www.wired.com/2017/01/mystery-ai-just-crushed-best-human-players-poker/

Sears Utilizes IBM Watson and NOBODY CARES

Wow, talk about focusing on the wrong problem.

Pain in your neck?  Put your foot in a cast.  Right?

No.

http://risnews.edgl.com/retail-news/Sears-Utilizes-IBM-Watson-s-Artificial-Intelligence-108611

Dead company walking. The stores are falling apart with zombie employees and empty shelves and they are implementing Artificial Intelligence.  Okay.

Happy Reading,

J.W. Gant