🗂 Link: IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy

An IDC “survey of global organizations that are already using artificial intelligence (AI) solutions found only 25% have developed an enterprise-wide AI strategy.”

But:

“More than 60% of organizations reported changes in their business model in association with their AI adoption.”

Source: IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy

FDA wants to regular off-label use of ML-driven devices

Obtaining FDA approval can be a difficult and long process. “The traditional paradigm of medical device regulation was not designed for adaptive AI or ML technologies, which have the potential to adapt and optimize device performance in real – time to continuously improve healthcare for patients,” the report said.

“The highly iterative, autonomous, and adaptive nature of these tools requires a new, total product lifecycle (TPLC) regulatory approach that facilitates a rapid cycle of product improvement and allows these devices to continually improve while providing effective safeguards.”

For example:

If a manufacturer decides that its device that studies retinal scans for diabetic retinopathy can also measure if a patient has high blood pressure or not, it’ll have to contact FDA officials to check if the device can be used for that purpose.

Meanwhile, we can’t even figure out how to figure out the ethics of AI.

This is probably a good space for that Talebian thinking that goes “start with what’s worked for thousands of years, and probably don’t stop.”

Source: Not so fast AI Doctor, the FDA would like to check how good you really are at healthcare

Link: The Air Force Will Treat Computer Coding Like a Foreign Language

For example, when Defense Innovation Unit went to air operations centers in Middle East, the defense tech expert envisioned software changes that would optimize the way that airmen tracked refueling tankers. Teaming up with a commercial firm in Boston called Pivotal Labs, the new software is saving about $200,000 in fuel every month.

It’s usually reported at $200,000 a day.

Mostly, though, lots of AI talk:

During Operation Inherent Resolve, he led 1,800 Air Component Commander analysts to create the first-ever visualization of millions of data points from sources including unmanned aerial vehicles and open-source streams. That reduced 1.5 hours of daily target development to five minutes. He also provided intelligence support to the fight against ISIS that increased deliberate (i.e. pre-planned) target development by 68 percent.
Original source: The Air Force Will Treat Computer Coding Like a Foreign Language

Link: Farmers Insurance Tests AI, Automation’s Potential For Speeding Up Claims Process

“AI-powered image recognition couldhelp speed up the claims process for damages related to, for example, windshields. Windshield claims are common and easy to resolve but still often require claims adjusters to go out in the field and make assessments, Mr. Guerra said.”
Original source: Farmers Insurance Tests AI, Automation’s Potential For Speeding Up Claims Process

Link: The Smart, the Stupid, and the Catastrophically Scary

“Part of me likes being a programmer—because we’re the last job. I can see a future—if we don’t manage to blow ourselves up first—in the robot paradise where people are either robot engineers or programmers, or I guess do marketing. Or maybe bake pies, or smell things? Those are essentially the hardest things for a computer to do. But computers do everything else.”
Original source: The Smart, the Stupid, and the Catastrophically Scary

Link: Does Your Company Have an AI Strategy, Really?

“A global survey of more than 3,000 executives by the Boston Consulting Group and MIT’s Sloan Management Review found that 84 percent of respondents believe AI will enable them to obtain or sustain a competitive advantage, 83 percent feel AI is a strategic priority for their businesses today, and 75 percent are counting on AI to open opportunities for new businesses and ventures.”

Also, a generalized set of questions for thinking through what AI stuff to do and strategize about in the enterprise.
Original source: Does Your Company Have an AI Strategy, Really?

Link: Warren Buffett says cryptocurrency attracts charlatans, AI won’t change investing

“We were not ideally located to be high-tech wizards,” Munger said, adding “I have been to Google headquarters. It looks to me like a kindergarten.”

“A very rich kindergarten.”
Original source: Warren Buffett says cryptocurrency attracts charlatans, AI won’t change investing

Link: Warren Buffett says cryptocurrency attracts charlatans, AI won’t change investing

“We were not ideally located to be high-tech wizards,” Munger said, adding “I have been to Google headquarters. It looks to me like a kindergarten.”

“A very rich kindergarten.”
Original source: Warren Buffett says cryptocurrency attracts charlatans, AI won’t change investing

Link: Liberty Mutual embraces AI, blockchain

“The Boston insurer is also testing blockchain software to develop a platform intended to create an audit trail and move money across the business faster, Scerbo says. Blockchain could eventually present carriers with the opportunity to pair the ledger technology with IoT to avoid fraud using connected-car sensors and smart home devices increasingly being adopted by consumers. Collected information would be sent to the blockchain, where it would be distributed to a slew of computers with no need for a middle man.”
Original source: Liberty Mutual embraces AI, blockchain

Link: GDPR Seen Slowing AI Innovation

Given all the Facebook stuff, I think less balancing towards the side of the robots would probably probably be good:

‘A recent study advocating a U.S. strategy for developing machine intelligence also noted the potential barriers to development that include GDPR and other data privacy efforts. The study released by the Center for Strategic and International Studies warned that the shift to “data localization” will require “balancing legitimate concerns around privacy and consumer protection both in the United States and abroad with the need for an open, flexible data ecosystem that supports innovation and experimentation in AI.”’
Original source: GDPR Seen Slowing AI Innovation

Link: Digital Disruption at Volkswagen Group: Is It All About Cars?

Some actual good, interesting applications for ML stuff here, in industrial design. Check out the bike frame example.
Original source: Digital Disruption at Volkswagen Group: Is It All About Cars?

Link: Digital Disruption at Volkswagen Group: Is It All About Cars?

Some actual good, interesting applications for ML stuff here, in industrial design. Check out the bike frame example.
Original source: Digital Disruption at Volkswagen Group: Is It All About Cars?

Link: When AI meets digital transformation: 4 areas where AI fits now | The Enterprisers Project

Still no case studies of enterprises actually using AI/ML, but some interesting examples of “boring” enterprise workflows that could be automated with some machine learning, like accounting.
Original source: When AI meets digital transformation: 4 areas where AI fits now | The Enterprisers Project

Link: The Insurance Industry Is A Prime Target For AI Technologies And Solutions

Quote below:

  • Technologies Oriented & Experience Focused: Experience related AI technologies include virtual assistant, speech analytics, and recommendation engines. These technologies are being adopted in customer service and insurance product selection business activities.
  • Technologies Oriented & Operational Focused: Operational AI technologies comprises text analytics, advanced analytics, facial and image recognition, machine learning and natural language generation. Most of these AI technologies are being adopted to improve operational efficiencies. However facial recognition and machine learning are being used to mitigate the risk exposure of insurers.
  • Solutions Oriented & Experience Focused: The two experience focused AI solutions concentrate on providing a positive customer experience. The solutions combine multiple AI technologies to create conversational solutions and industry pre-trained solutions. The latter is also being used to train internal customer facing roles.
  • Solutions Oriented & Operational Focused: As machine learning has grown in maturity, we find insurers combining other AI technologies with machine learning to create deep learning solutions. Currently, risk management is the focus area of deep learning solutions.
    Original source: The Insurance Industry Is A Prime Target For AI Technologies And Solutions

Link: “Do They Have AI?” or That Rant on AI in Security

‘It turns out that our AI analysts often use the phrase “AI” to mean “top techniques from the field of Artificial Intelligence” which today means “deep neural networks” (DNNs, shorthanded to “deep learning” by some), natural language processing, image recognition, etc (the latter probably use DNNs anyway).’
Original source: “Do They Have AI?” or That Rant on AI in Security

Link: The Ivory Tower Can’t Keep Ignoring Tech

“[W]e shouldn’t have to depend on journalism to do the tedious, serious work of understanding the problems with algorithms any more than we depend on it to pursue the latest questions in sociology or environmental science.”

More: “There is essentially no distinct field of academic study that takes seriously the responsibility of understanding and critiquing the role of technology — and specifically, the algorithms that are responsible for so many decisions — in our lives.”
Original source: The Ivory Tower Can’t Keep Ignoring Tech

Link: Almost half of CIOs plan to deploy artificial intelligence enterprise solutions | ZDNet

“According to the CIO agenda survey, four percent of CIOs have already implemented AI in some fashion, but a further 46 percent have plans to follow suit. In addition, 20 percent of CIOs worldwide have pilot AI programs in the pipeline for implementation in the near future.” But, wait: “However, not every AI pilot will be a success. Gartner believes that up to 85 percent of projects will not deliver due to data bias, poor team management, or unsuitable algorithms.”
Original source: Almost half of CIOs plan to deploy artificial intelligence enterprise solutions | ZDNet

Link: Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics

Still waiting for BI👉analytics👉big data👉AI/ML to hit the big time: “The global survey asked respondents to rate their orgs according to Gartner’s 5 levels of maturity for data & analytics…. 60% of respondents…rated themselves in the lowest 3 levels.”
Original source: Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics