Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

Archive for the ‘AI’ Category

Automation Feast or Famine

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Happy Wednesday. 

Now that we’ve gotten that whole new iPhone analysis thing out of the way, let’s get back to the smart stuff.

The Wall Street Journal CIO Journal’s “Morning Download” email has been a must read for me for a couple of years now, and they do a generally good job of keeping their fingers on the pulse of enterprise IT, software, etc.

In today’s edition, they cited a new report from the World Economic Forum report on the jobs impact of artificial intelligence between now and 2022.

The report suggested that 984,000 jobs would disappear, but that 1.74 million new jobs would be created. 

The survey was of chief HR officers and top strategy execs from 300 global companies.

Almost 40 percent of respondents indicated they expect to expand their workforce by 2022, but more than a quarter expect automation to create new roles in their companies. 

More than 50 percent of employees of larger companies will need to invest in significant training for their employees to remain relevant, and nearly 50 percent of respondents said they expect their full-time workforce to shrink by 2022 as a result of automation.

In terms of cadence, 29 percent of current workplace tasks will be completed by machines in 2018, 42 percent in 2022, and more than half — 52 percent — by 2025.

I guess the large and lingering question is, which half of which tasks?

We’ll find out soon enough.

Written by turbotodd

September 19, 2018 at 12:34 pm

UiPath Raises $225 Million in Series C, Focuses on AI for Repetitive Tasks

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The AI venture capital wars continue to heat up.

VentureBeat reported early today that UiPath, a robotic process automation platform that helps companies automate repetitive tasks, has raised $225 million in a series C round of funding co-lead by Alphabet’s late-stage venture capital fund CapitalG and Sequoia Capital, with participation from Accel.

This follows on their series B round, which raised $153 million.

The company was founded in Romania, but is now headquartered in New York. VentureBeat writes that the platforms core selling point is that it brings automation to enterprise processes.

The company builds what it calls “intelligent software robots” that help businesses carry out what are often laborious and repetitive tasks using computer vision and rule-based processes.

UiPath’s tech sits atop business applications such as enterprise resource planning software and customer relationship management tools to emulate tasks usually carried out by a person manually pressing buttons at their desk.

The “robots” are trained to observe the interface to see and understand what is happening and then carry out the task as a human would.

Current customers range from NASA to Airbus to DHL, Equifax, Lufthanse, Autodesk, and 2,000 other companies around the globe. The company expects to use the Series C round to accelerate its product development and acquire more companies.

Robotic process automation…remember that category!

Written by turbotodd

September 18, 2018 at 4:11 pm

Posted in 2018, AI, artificial intelligence

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Bing Me An Uber

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A headline in today’s Wall Street Journal: Toyota investing $500 million in Uber in driverless-car pact.

Toyota’s investment values Uber at roughly $72 billion, slightly higher than where SoftBank Group Corp. valued the company earlier this year with its funding.

Through the deal, Uber will integrate self-driving technology into Toyota Sienna minivans for use in Uber’s ride hailing network.

And as the Journal story observes:

For ride-sharing concerns like Uber and Lyft Inc., autonomous vehicles could cut their biggest expense: paying human drivers. For auto makers such as Toyota, the potential of self-driving cars to power car-sharing services represents a major challenge to an industry dominated by individual car ownership.

The Journal also reminds us that Uber CEO Dara Khosrowshahi is looking to take the company public next year and has been selling off unprofitable operations while “putting new focus on rentable bikes and scooters.”

Could a Lime or Bird acquisition be in the offing? 

Also on today’s AI frontiers, Search Engine Land is reporting that Bing is introducing a new “Spotlight” news feature which showcases a timeline of how a story has evolved, differing perspectives from news sources, and related social media posts on a topic.

Uh, can we see the full timeline in Spotlight for the Mueller investigation?

Yeah, there’s probably not enough AI on the planet to fully grok that timeline yet.

Lest you worry that the “Spotlight” will render human editors irrelevant, the Search Engine Land story indicates Bing explained that the perspectives and stories “are compiled using a combination of both AI and experienced human editors.”

Bing monitors millions of queries and news articles every day and identifies impactful stories that evolve over a period of weeks or months. We look at various user signals such as queries and browser logs, and document signals from publishers such as how many publishers cover a story, their angles, and how prominently they feature the story on their site.  For controversial topics, in the Perspectives module, we show different viewpoints from high-quality sources. For a source to be considered high quality, it must meet the Bing News PubHub Guidelines, which is a set of criteria that favors originality, readability, newsworthiness, and transparency. Top caliber news providers identify sources and authors, give attribution and demonstrate sound journalistic practices such as accurate labeling of opinion and commentary. Behind the scenes, we leverage our deep learning algorithms and web graphs of hundreds of millions of web sites in the Bing index to identify top sources for national news, per category, query, or article. Our goal is to provide broader context for impactful stories, from politics to business to major disasters, and much more.

All the news that’s fit to algo.

Written by turbotodd

August 28, 2018 at 9:21 am

Posted in 2018, AI, algorithms, microsoft, news

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Robotic Confusion

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Have you watched the new “Lost in Space” series on Netflix?

Danger, Will Robinson!

Sorry, couldn’t help myself.  It’s good stuff.

But, I must say, I’m now all confused about this whole robotic thing.

Now because of the new Netflix series.  

No, rather, because I keep hearing loads of contradictions about what’s going on with the whole machine versus man convo.

On the one hand, I hear that robots are going to take over the world and leave us mere mortals sitting around in a depressed malaise, complaining about how the robots took all our jobs.

And then on the other, I learn that robots are “riding to the rescue” in Eastern Europe, where severe labor shortages have forced companies to call in the machines.

Perhaps both these things are true, and that’s the real warning about our future?  We just don’t know.

Two stories in particular struck me as resonant with this apparent contradiction.

First, in The New York Times, this headline: Robots Ride to the Rescue Where Workers Can’t Be Found. 

The lede: Fast-growing economies in Eastern Europe have led to severe labor shortages, so companies are calling in the machines.

As reported, despite a roaring economy and a jobless rate of just 2.4 percent, in the Czech Republic the dearth of manpower has limited the ability of Czech companies to expand and nearly a third of them have started to turn away orders.

Jaroslav Hanak, the president of the Czech Confederation of Industry, explained that “It’s becoming a brake on growth…If businesses don’t increase robotization and artificial intelligence, they’ll disappear.”

And apparently this in an Eastern Europe that is already well automated, with around 101 robots for every 10,000 workers.

But then there’s this other story: That Elon Musk is replacing robots at his Tesla factory with humans, saying that “humans are underrated.”

This is the same guy who warned us about the coming AI apocalypse.

But because his Tesla Model 3 production facility is way behind on delivering vehicles to customers who have been waiting for many months, apparently the AI apocalypse is not so close that it will prevent humans from coming in to fix the problem that the machines caused in the first place.

As Musk explained on the “CBS This Morning” show to Gayle King in a recent interview: “We had this crazy, complex network of conveyor belts…And it was not working, so we got rid of that whole thing.”

And so Musk has now hit “pause” on the Tesla 3 production line to try and resolve those problems with the automation and figure out a way that humans can come in and restart production and, presumably, be more efficient and reach its target of 5,000 cars produced per week by the end of 2018.

As for the robots, they’ll have to get back in their own assembly line and wait to be reassigned.

No danger, Will Robinson.  That is, unless you’re Class B-9-M-3 General Utility Non-Theorizing Environmental Control Robot (the Robot’s real name in the original “Lost in Space”).

Written by turbotodd

April 17, 2018 at 10:40 am

Posted in 2018, AI, robots

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Saudi Cyber

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Don’t miss this doozy of a story from The New York Times’ Nicole Perlroth and Clifford Krauss about last year’s cyberattack in Saudi Arabia.

The executive summary: Last August, a petrochemical plant in Saudi Arabia was struck by a cyberassault that intended to sabotage the firm’s operations and trigger an explosion.

The only thing that prevented the explosion was a mistake in the attackers’ computer code. 

For cyber warriors on the front line, it’s a must read.

On the flip side, Google recently released its “Android Security 2017 Year in Review” report earlier today, and it cited that 60.3 percent of Potentially Harmful Apps were detected via machine learning.

As reported by VentureBeat, its detection is done by a service called Google Play Protect, which is enabled on over 2 billion devices (running Android 4.3 and up) to constantly scan Android apps for malicious activity.

In other words, artificial intelligence and machine learning are the future of cyber monitoring, and the future has already arrived.

Speaking of the future and cybersecurity, at next week’s IBM Think 2018 conference in Las Vegas, you’ll be able to tune in to over 100 sessions LIVE via the IBM UStream. 

Be sure to check out the schedule here, and to case the cyber keynote from 12:30-1:10 PST on Tuesday, March 20th, entitled “Ready for Anything: Build a Cyber Resilient Organization.”

Written by turbotodd

March 15, 2018 at 10:16 am

No Laughing Matter

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Did you hear the one about the personal voice assistant that, for seemingly no apparent reason whatsoever, started breaking into strange laughing noises at random?

No?

Well, I heard about it firsthand, but apparently I missed the opportunity to hear random guffawing of my own personal Amazon Tap.

According to Bloomberg, Amazon confirmed yesterday that in rare circumstances, the voice assistant can mistakenly hear the phrase “Alexa, laugh,” which under its normal programming would cause it to chuckle. 

Amazon has updated a fix for the problem, and is changing the trigger phrase for laughing to “Alexa, can you laugh?” instead.

A few moments ago, I tried the new command, and all I got from Alexa was a “Tee hee.”  

How very anti-climactic.

This quirk has been referred to in AI circles as a “false positive.”

Let’s just hope the voice commands for the AI algos running the armed drones have their laughs in order.

Written by turbotodd

March 8, 2018 at 9:02 am

Summoning Siri

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Apple apparently thinks it can improve upon its extremely popular wireless AirPods headphones. 

Bloomberg is s that the company is working on a new version for release as soon as this year which has an upgraded wireless chip, and another model next year that makes the headphones water resistant.

This year’s update will allegedly allow one to summon Siri’s digital assistant without physically tapping the headphones by instead saying, “Hey Siri.”

To which I would say, can I ask it to refer me over to “Google Assistant.”

I’m all for improved hardware, but IMHO, Apple needs to be focusing much more attention on the software side of things, and specifically, having Siri continue her education to train up to better respond to what are increasingly table stake queries.

Don’t get me wrong — I love me some AirPods, and don’t know how I got along without them for so long.  All those wires, all those times I was on my bike tangling up and dropping my phone. Love me no wires!

But Apple, please, do yourself a favor and make Siri smarter before worrying so much about whether or not I have to tap my AirPods to summon her! Because if she doesn’t get smarter and soon, there won’t be any reason to say, “HEY, SIRI!”

Written by turbotodd

February 22, 2018 at 9:47 am

Posted in 2018, AI, airpods, apple, siri

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