10 predictions for the future of the IoT — from bbntimes.com by Ahmed Banafa

 

 

Also see:

  • How Artificial Intelligence will kickstart the Internet of Things — from bbntimes.com by Ahmed Banafa
    Excerpt:
    Examples of such IoT data: 

    • Data that helps cities predict accidents and crimes
    • Data that gives doctors real-time insight into information from pacemakers or biochips
    • Data that optimize productivity across industries through predictive maintenance on equipment and machinery
    • Data that creates truly smart homes with connected appliances
    • Data that provides critical communication between self-driving cars

 

 

Hot tech jobs for law grads — from The National Jurist by Angela Morris

Excerpts:

A law degree has always been a versatile tool, but as technology brings significant change to the legal field, new career options continue to emerge.

  • Privacy manager
  • Legal operations
  • Legal solutions architect
  • Legal engineer
  • Data analyst
  • Cybersecurity professional
  • Open-source code compliance
  • Project manager for technology companies
  • Compliance pro
  • Knowledge manager
  • Risk manager
  • Bioethicist
  • Technology transfer officer
  • Banking compliance officer
  • IP protection specialist in the fashion industry
  • Digital asset protection
  • Litigation support professional
  • eDiscovery consultant

 

Also see:

 

 

The growing marketplace for AI ethics — from forbes.com by Forbes Insights with Intel AI

Excerpt:

As companies have raced to adopt artificial intelligence (AI) systems at scale, they have also sped through, and sometimes spun out, in the ethical obstacle course AI often presents.

AI-powered loan and credit approval processes have been marred by unforeseen bias. Same with recruiting tools. Smart speakers have secretly turned on and recorded thousands of minutes of audio of their owners.

Unfortunately, there’s no industry-standard, best-practices handbook on AI ethics for companies to follow*—at least not yet. Some large companies, including Microsoft and Google, are developing their own internal ethical frameworks.

A number of think tanks, research organizations, and advocacy groups, meanwhile, have been developing a wide variety of ethical frameworks and guidelines for AI.

 

*Insert DSC:
Read this as a very powerful, chaotic, massive WILD, WILD, WEST.  Can law schools, legislatures, governments, businesses, and more keep up with this new pace of technological change?

 

Also see:

 

Artificial intelligence seeing massive surge in education — from campustechnology.com by David Nagel

Excerpt:

Education will experience the third-largest growth of any sector, coming in slightly behind government (44.3 percent) and “personal and consumer services” (43.3 percent).

The top use cases for AI at present, based on current market share, are:

  • Automated customer service agents (12.5 percent);
  • Sales process recommendation and automation (7.6 percent);
  • Automated threat intelligence and prevention systems (7.5 percent);
  • Program advisors and recommendation systems (6.4 percent); and
  • Automated preventative maintenance, diagnosis and treatment systems (6.2 percent).

 

 

Map of fundamental technologies in legal services — from remakinglawfirms.com by Michelle Mahoney

Excerpt:
The Map is designed to help make sense of the trends we are observing:

  • an increasing number of legal technology offerings;
  • the increasing effectiveness of legal technologies;
  • emerging new categories of legal technology;
  • the layering and combining of fundamental technology capabilities; and
  • the maturation of machine learning, natural language processing and deep learning artificial intelligence.

Given the exponential nature of the technologies, the Fundamental Technologies Map can only depict the landscape at the current point in time.

 

Information processing in legal services (PDF file)

 

Also see:
Delta Model Update: The Most Important Area of Lawyer Competency — Personal Effectiveness Skills — from legalexecutiveinstitute.comby Natalie Runyon

Excerpt:

Many legal experts say the legal industry is at an inflection point because the pace of change is being driven by many factors — technology, client demand, disaggregation of matter workflow, the rise of Millennials approaching mid-career status, and the faster pace of business in general.

The fact that technology spend by law firms continues to be a primary area of investment underscores the fact that the pace of change is continuing to accelerate with the ongoing rise of big data and workflow technology that are greatly influencing how lawyering gets done. Moreover, combined with big unstructured data, artificial intelligence (AI) is creating opportunities to analyze siloed data sets to gain insights in numerous new ways.

 

 

The state of AI in the enterprise: 10 telling stats — from enterprisersproject.com by Kevin Casey
How many of your peers already use AI? What are they spending? How’s the talent market? Let’s explore the data.

Excerpt:

80 percent of project management tasks done by AI by 2030: Gartner
There are other reminders that while AI may not necessarily put all of us out of our jobs, it will definitely change many jobs. Consider this new prediction from Gartner: 80 percent of project management tasks that would typically be handled by a person today will be eliminated by AI by 2030. This will span traditional PM functions such as data collection, tracking, and reporting, Gartner predicts.

 

 
 

MIT has just announced a $1 billion plan to create a new college for AI — from technologyreview.com

Excerpt:

One of the birthplaces of artificial intelligence, MIT, has announced a bold plan to reshape its academic program around the technology. With $1 billion in funding, MIT will create a new college that combines AI, machine learning, and data science with other academic disciplines. It is the largest financial investment in AI by any US academic institution to date.

 

From this page:

The College will:

  • reorient MIT to bring the power of computing and AI to all fields of study at MIT, allowing the future of computing and AI to be shaped by insights from all other disciplines;
  • create 50 new faculty positions that will be located both within the College and jointly with other departments across MIT — nearly doubling MIT’s academic capability in computing and AI;
  • give MIT’s five schools a shared structure for collaborative education, research, and innovation in computing and AI;
  • educate students in every discipline to responsibly use and develop AI and computing technologies to help make a better world; and
  • transform education and research in public policy and ethical considerations relevant to computing and AI.

 

 

Collaboration technology is fueling enterprise transformation – increasing agility, driving efficiency and improving productivity. Join Amy Chang at Enterprise Connect where she will share Cisco’s vision for the future of collaboration, the foundations we have in place and the amazing work we’re driving to win our customers’ hearts and minds. Cognitive collaboration – technology that weaves context and intelligence across applications, devices and workflows, connecting people with customers & colleagues, to deliver unprecedented experiences and transform how we work – is at the heart of our efforts. Join this session to see our technology in action and hear how our customers are using our portfolio of products today to transform the way they work.

 

 

 

 

White House Launches AI.gov — from nextgov.com by Brandi Vincent

Excerpt:

All the federal government’s initiatives and resources around artificial intelligence can now be accessed on one dedicated website, AI.gov, which the White House launched today.

“It’s a real hub for all the AI projects being done across the agencies,” Michael Kratsios, the U.S. deputy chief technology officer within the White House Office of Science and Technology Policy, told attendees of The Economist’s artificial intelligence event in Washington.

 

 

The “third, and probably the most important” priority is a sharp focus on supporting the American worker. He said the government needs to address the impacts that the rise of automation and artificial intelligence will have on the economy and workforce. “We need to make sure that the American worker is prepared for the jobs of the future,” he said. “And we need to make sure [workers] are reskilled and retrained for [evolving jobs] and that there’s a pipeline of AI talent that continues to be the fuel for the next great discoveries.”

 

 

 

Is Thomas Frey right? “…by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

From a fairly recent e-newsletter from edsurge.com — though I don’t recall the exact date (emphasis DSC):

New England is home to some of the most famous universities in the world. But the region has also become ground zero for the demographic shifts that promise to disrupt higher education.

This week saw two developments that fit the narrative. On Monday, Southern Vermont College announced that it would shut its doors, becoming the latest small rural private college to do so. Later that same day, the University of Massachusetts said it would start a new online college aimed at a national audience, noting that it expects campus enrollments to erode as the number of traditional college-age students declines in the coming years.

“Make no mistake—this is an existential threat to entire sectors of higher education,” said UMass president Marty Meehan in announcing the online effort.

The approach seems to parallel the U.S. retail sector, where, as a New York Times piece outlines this week, stores like Target and WalMart have thrived by building online strategies aimed at competing with Amazon, while stores like Gap and Payless, which did little to move online, are closing stores. Of course, college is not like any other product or service, and plenty of campuses are touting the richness of the experience that students get by actually coming to a campus. And it’s not clear how many colleges can grow online to a scale that makes their investments pay off.

 

“It’s predicted that over the next several years, four to five major national players with strong regional footholds will be established. We intend to be one of them.”

University of Massachusetts President Marty Meehan

 

 

From DSC:
That last quote from UMass President Marty Meehan made me reflect upon the idea of having one or more enormous entities that will provide “higher education” in the future. I wonder if things will turn out to be that we’ll have more lifelong learning providers and platforms in the future — with the idea of a 60-year curriculum being an interesting idea that may come into fruition.

Long have I predicted that such an enormous entity would come to pass. Back in 2008, I named it the Forthcoming Walmart of Education. But then as the years went by, I got bumbed out on some things that Walmart was doing, and re-branded it the Forthcoming Amazon.com of Higher Education. We’ll see how long that updated title lasts — but you get the point. In fact, the point aligns very nicely with what futurist Thomas Frey has been predicting for years as well:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider. (source)

I realize that education doesn’t always scale well…but I’m thinking that how people learn in the future may be different than how we did things in the past…communities of practice comes to mind…as does new forms of credentialing…as does cloud-based learner profiles…as does the need for highly efficient, cost-effective, and constant opportunities/means to reinvent oneself.

Also see:

 

 

Addendum:

74% of consumers go to Amazon when they’re ready to buy something. That should be keeping retailers up at night. — from cnbc.com

Key points (emphasis DSC)

  • Amazon remains a looming threat for some of the biggest retailers in the country — like Walmart, Target and Macy’s.
  • When consumers are ready to buy a specific product, nearly three-quarters of them, or 74 percent, are going straight to Amazon to do it, according to a new study by Feedvisor.
  • By the end of this year, Amazon is expected to account for 52.4 percent of the e-commerce market in the U.S., up from 48 percent in 2018.

 

“In New England, there will be between 32,000 and 54,000 fewer college-aged students just seven years from now,” Meehan said. “That means colleges and universities will have too much capacity and not enough demand at a time when the economic model in higher education is already straining under its own weight.” (Marty Meehan at WBUR)

 

 

A Chinese subway is experimenting with facial recognition to pay for fares — from theverge.com by Shannon Liao

Excerpt:

Scanning your face on a screen to get into the subway might not be that far off in the future. In China’s tech capital, Shenzhen, a local subway operator is testing facial recognition subway access, powered by a 5G network, as spotted by the South China Morning Post.

The trial is limited to a single station thus far, and it’s not immediately clear how this will work for twins or lookalikes. People entering the station can scan their faces on the screen where they would normally have tapped their phones or subway cards. Their fare then gets automatically deducted from their linked accounts. They will need to have registered their facial data beforehand and linked a payment method to their subway account.

 

 

From DSC:
I don’t want this type of thing here in the United States. But…now what do I do? What about you? What can we do? What paths are open to us to stop this?

I would argue that the new, developing, technological “Wild Wests” in many societies throughout the globe could be dangerous to our futures. Why? Because the pace of change has changed. And these new Wild Wests now have emerging, powerful, ever-more invasive (i.e., privacy-stealing) technologies to deal with — the likes of which the world has never seen or encountered before. With this new, rapid pace of change, societies aren’t able to keep up.

And who is going to use the data? Governments? Large tech companies? Other?

Don’t get me wrong, I’m generally pro-technology. But this new pace of change could wreak havoc on us. We need time to weigh in on these emerging techs.

 

Addendum on 3/20/19:

  • Chinese Facial Recognition Database Exposes 2.5 Million People — from futurumresearch.com by Shelly Kramer
    Excerpt:
    An artificial intelligence company operating a facial recognition system in China recently left its database exposed online, leaving the personal information of some 2.5 million Chinese citizens vulnerable. Considering how much the Chinese government relies on facial recognition technology, this is a big deal—for both the Chinese government and Chinese citizens.

 

 

The Future Today Institute’s 12th Annual Emerging Tech Trends Report — from futuretodayinstitute.com

Excerpts:

At the Future Today Institute, we identify emerging tech trends and map the future for our clients. This is FTI’s 12th annual Tech Trends Report, and in it we identify 315 tantalizing advancements in emerging technologies — artificial intelligence, biotech, autonomous robots, green energy and space travel — that will begin to enter the mainstream and fundamentally disrupt business, geopolitics and everyday life around the world. As of the publication date, the annual FTI Tech Trend Report report has garnered more than 7.5 cumulative views.

Key findings for 2019 (emphasis DSC)

  • Privacy is dead. (DC: NOT GOOD!!! If this is true, can the situation be reversed?)
  • Voice Search Optimization (VSO) is the new SEO.
  • The Big Nine.
  • Personal data records are coming. (DC: Including cloud-based learner profiles I hope.)
  • China continues to ascend, and not just in artificial intelligence.
  • Lawmakers around the world are not prepared to deal with new challenges that arise from emerging science and technology.
  • Consolidation continues as a key theme for 2019.

 

 

How MIT’s Mini Cheetah Can Help Accelerate Robotics Research — from spectrum.ieee.org by Evan Ackerman
Sangbae Kim talks to us about the new Mini Cheetah quadruped and his future plans for the robot

 

 

From DSC:
Sorry, but while the video/robot is incredible, a feeling in the pit of my stomach makes me reflect upon what’s likely happening along these lines in the militaries throughout the globe…I don’t mean to be a fear monger, but rather a realist.

 

 

Instructure: Plans to expand beyond Canvas LMS into machine learning and AI — from mfeldstein.com by Phill Hill

Excerpts:

On the same day as Instructure’s earnings call and release of FY2018 financial results, the company announced the acquisition of Portfolium for $43 million, a small startup focusing on “ePortfolio network, student-centered assessment, job matching capabilities, and academic and co-curricular pathways”.

Instructure now views itself as a company with a suite of products, and they are much more open to using corporate M&A to build this portfolio.

We already have analytical capabilities in our Canvas platform. I want to be really clear and delineate the difference between an analytics and reporting capability, and a machine learning and AI platform.

We have the most comprehensive database on the educational experience in the globe. So given that information that we have, no one else has those data assets at their fingertips to be able to develop those algorithms and predictive models.

What’s even more interesting and compelling is that we can take that information, correlate it across all sorts of universities, curricula, etc, and we can start making recommendations and suggestions to the student or instructor in how they can be more successful. Watch this video, read this passage, do problems 17-34 in this textbook, spend an extra two hours on this or that. When we drive student success, we impact things like retention, we impact the productivity of the teachers, and it’s a huge opportunity. That’s just one small example. Our DIG initiative, it is first and foremost a platform for ML and AI, and we will deliver and monetize it by offering different functional domains of predictive algorithms and insights. Maybe things like student success, retention, coaching and advising, career pathing, as well as a number of the other metrics that will help improve the value of an institution or connectivity across institutions.

 

 

 

 
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