6 Ed Tech Trends to Watch in 2020 — from campustechnology.com by Rhea Kelly with:

  • Bridget Burns, Executive Director, University Innovation Alliance
  • James Frazee, Chief Academic Technology Officer and Associate VP, Instructional Technology Services, San Diego State University
  • Ernie Perez
    Director, Educational Technology, Digital Learning & Innovation, Boston University

This year’s top issues in education technology reflect the bigger picture of a student’s pathway from individual courses all the way to graduation and career.

Topics include:

1) Workforce Readiness
2) Artificial Intelligence and Chatbots
3) Extended Reality (XR)
4) Video and Accessibility
5) Predictive Analytics and Advising
6) Industry Partnerships

 

BIGLAW 2040: What will happen when Gen Z is in charge? — from law360.com by Natalie Rodriguez

Excerpts:

The opportunities that BigLaw has begun offering associates to spend months-long stints working out of international offices will evolve from rare resume brags to almost standard career milestones for those interested in leadership positions.

“If you don’t have global experience, you’re not becoming a CEO anymore, and that’s going to be true of becoming a managing partner. If you want to be a global business, you’re going to have to understand the world,” Wilkins said.

The legal leaders of 2040 will also have to expand their circle — think data technicians, cybersecurity professionals, chief knowledge officers, legal tech and artificial intelligence systems engineers, all of whom are going to play much larger roles in the BigLaw ecosystem in the next few decades.

Addendum on 2/11/20:

The Skills Every Future Lawyer Needs — from law360.com by Erin Coe

Excerpt:

To provide those outcomes and solutions, many lawyers of the future will be responsible for building the systems that replace the old ways of working.

They will become legal knowledge engineers, legal risk managers, legal systems analysts, legal design thinkers and legal technologists, and they will be the ones solving clients’ problems, not through one-on-one advice, but through technology-delivered solutions, according to Susskind.

The challenge for existing lawyers is whether they are prepared over the next 20 years to retrain themselves for these new roles.

 

 

Experts say 23% of lawyers’ work can be automated—law schools are trying to stay ahead of the curve — from cnbc.com by Abigail Hess

Excerpts:

While law school graduates out-earn those with just a high school or bachelor’s degree on average, the legal profession is not immune to the same technological trends that have touched essentially every industry.

Advances in technology such as artificial intelligence allow modern software to scan legal documents, streamline communications and find relevant casework for lawyers. McKinsey estimates that 23% of work done by lawyers can be automated by existing technology.

Another way law schools are working to increase their value proposition is by offering more lifelong learning resources.

Greif argues that to a significant extent, law schools have always been centers of lifelong learning, through conferences and collaboration with local bar associations, but says that some schools have been ramping up their offerings.

 

Key strategic technologies for higher education in 2020

Higher Education’s 2020 Trend Watch & Top 10 Strategic Technologies — from library.educause.edu

Excerpt:

Most Influential Trends
Six trends are influential at 61% or more of colleges and universities (listed below from highest to lowest level of influence):

  1. Growing complexity of security threats
  2. Student success focus/imperatives
  3. Data-informed decision-making
  4. Privacy
  5. Enterprise risk management
  6. Institution-wide data management and integrations

 

 

 

2020 Top 10 IT Issues — from educause.edu
The Drive to Digital Transformation Begins | EDUCAUSE Review Special Report

Excerpt:

Colleges and universities are working to unmake old practices and structures that have become inefficient and are preparing to use technology and data to better understand and support students and to become more student-centric.

They are working to fund technology and to sustainably manage and secure data and privacy. Higher education institutions are applying data and technology to innovate student outcomes and experiences.

The role of the CIO is undergoing its own transformation in order to advance institutional priorities through the use of technology.

The focus in 2020, then, is to simplify, sustain, innovate, and drive to Dx in all of our institutions and places of higher learning.

 

 

From DSC:
To me, one of the key roles of today’s collegiate CIO should be to collaborate with the academic side of the house to identify ways to strategically use technologies to significantly lower the cost of obtaining a degree. Higher education affordability is listed as #8. That’s waaaaaay underestimating the issue and another key reason the backlash continues to build against traditional higher education. If things don’t change and a much cheaper — but still effective — means comes along, look out. Students and families are feeling the weight of the gorillas of debt on their back — weight that lasts for decades for many people today. Along these lines, issues involving privacy and data security — while also important to students — are mainly a CYA for colleges and universities. They don’t address the gorillas of debt as much as other solutions might.

Sorry if you don’t want to hear it, but one of the best solutions involves offering a significant amount of 100% online-based offerings. While this was mentioned, you can still get major pushback about this strategy. But you can’t tell me for one second that offering online-based classes is more expensive than offering traditional, face-to-face based classes. Why? What?! How could I possibly assert this?! The answer is quite simple. One just needs to request to review the budget of your Physical Plant Department. That’s why. Check it out if you can — you’ll see what I mean.

Also, though data is important, it won’t save colleges and universities from closing. What are some things that stand a better chance of doing that?! Here are some:

  • Vision
  • Developing a culture that supports innovation and a willingness to experiment/change 
  • Finding ways to significantly lower the price of obtaining a degree
  • Scanning the horizons to see what’s coming down the pike and how that will impact our students’ futures. Then, develop the curriculum to best help our students prepare for their future.

“The CIO’s ‘role at the table’ has evolved to be one that is less about the mechanics of the IT organization and more about how IT can serve as a strategic partner in helping the institution execute its mission.”(source)

 

How technology and law changes for career development — from lawtechnologytoday.org by Manan Ghadawala

Excerpt:

But things have been changing in technology and law over the years. Let us look at these developments in technology and law and also see how technology already [is] — and will — impact legal careers.

Joni Pirovich from Hall & Wilcox explained, “As technology trends are pervasive across all industries, it’s now incumbent upon law firms to ensure lawyers have a good starting language to interpret technology concepts and how they interact with legal principles.”

The increase in law firm technology did surprise some people. Forbes found out that there was a 713% jump in investments in technology for law firms in 2018—almost 1.63 billion USD—bolstered mostly by the arrival of eDiscovery, which is an electronic method for finding important information specific investigations or suits.

#Automation #MachineLearning #AI #BigData

 

 

A.I. breakthroughs in natural-language processing are big for business — from fortune.com by Jeremy Kahn

Excerpt:

Over the past 18 months, though, computer scientists have made huge strides in creating algorithms with unprecedented abilities at a variety of language tasks. What’s more, these new algorithms are making the leap from the lab and into real products at a breakneck pace—already changing the way tech’s biggest players, and many other businesses, operate. The Natural Language Processing (NLP) revolution promises better search engines and smarter chatbots and digital assistants. It could lead to systems that automatically analyze—and maybe even compose— legal documents and medical records. But some believe the NLP revolution will do far more.

 
 

The Future of Lawyers: Legal Tech, AI, Big Data And Online Courts — from forbes.com by Bernard Marr

Excerpts:

In his brand new book Online Courts and the Future of Justice, Richard argues that technology is going to bring about a fascinating decade of change in the legal sector and transform our court system. Although automating our old ways of working plays a part in this, even more, critical is that artificial intelligence and technology will help give more individuals access to justice.

The first generation is the idea that people who use the court system submit evidence and arguments to the judge online or through some form of electronic communication.

The second generation of using technology to transform the legal system would be what Richard calls “outcome thinking” to use technology to help solve disputes without requiring lawyers or the traditional court system.

Some of the biggest obstacles to an online court system are the political will to bring about such a transformation, the support of judges and lawyers, funding, as well as the method we’d apply. For example, decisions will need to be made whether the online system would be used for only certain cases or situations.

Ultimately, we have a grave access-to-justice problem. Technology can help improve our outcomes and give people a way to resolve public disputes in ways that previously weren’t possible. While this transformation might not solve all the struggles with the legal system or the access-to-justice issue, it can offer a dramatic improvement.

 

Excerpts:

We see the AI space poised for an acceleration in adoption, driven by more sophisticated AI models being put in production, specialized hardware that increases AI’s capacity to provide quicker results based on larger datasets, simplified tools that democratize access to the entire AI stack, small tools that enables AI on nearly any device, and cloud access to AI tools that allow access to AI resources from anywhere.

To fully take advantage of AI technologies, you’ll need to retrain your entire organization.

 

DC: Precursor to a next gen learning platform…? Another piece is falling into place.

 

Legal Tech’s Predictions for Artificial Intelligence in 2020 — from law.com by Zach Warren
We may not have robot lawyers, but lawyers and technologists agree that artificial intelligence will have a major impact on the legal profession in 2020.

Excerpts:

Alex Babin, CEO, Zero: “The biggest gains from automating legal practices will be time saved and improved workflow efficiencies as the AI ‘takes over’ more laborious tasks including litigation support, email, e-discovery, and the use of databases for case management. Lawyers will begin to trust in this process, letting AI perform these basic tasks such as auto-filing document and email for compliance. AI will enhance corporate and regulatory reporting and improves contract creation and management.”

Scott Forman, shareholder, Littler Mendelson and founder of Littler CaseSmart and Littler onDemand: “Data analytics and AI have already fundamentally changed the delivery of legal services, but I expect 2020 to bring a greater understanding of how these technologies enhance, rather than overtake, the work of lawyers. While robots and technology will never replace lawyers, they provide data and insight enabling lawyers to do their jobs faster and better. This includes automating aspects of the legal process—so that lawyers can focus on top-of-the-pyramid work—as well as synthesizing and serving up information that guides litigation strategy, identifies potential areas of risk and moves toward predicting legal outcomes.”

 

 

7 Artificial Intelligence Trends to Watch in 2020 — from interestingengineering.com by Christopher McFadden

Excerpts:

Per this article, the following trends were listed:

  1. Computer Graphics will greatly benefit from AI
  2. Deepfakes will only get better, er, worse
  3. Predictive text should get better and better
  4. Ethics will become more important as time goes by
  5. Quantum computing will supercharge AI
  6. Facial recognition will appear in more places
  7. AI will help in the optimization of production pipelines

Also, this article listed several more trends:

According to sources like The Next Web, some of the main AI trends for 2020 include:

  • The use of AI to make healthcare more accurate and less costly
  • Greater attention paid to explainability and trust
  • AI becoming less data-hungry
  • Improved accuracy and efficiency of neural networks
  • Automated AI development
  • Expanded use of AI in manufacturing
  • Geopolitical implications for the uses of AI

Artificial Intelligence offers great potential and great risks for humans in the future. While still in its infancy, it is already being employed in some interesting ways.

According to sources like Forbes, some of the next “big things” in technology include, but are not limited to:

  • Blockchain
  • Blockchain As A Service
  • AI-Led Automation
  • Machine Learning
  • Enterprise Content Management
  • AI For The Back Office
  • Quantum Computing AI Applications
  • Mainstreamed IoT

Also see:

Artificial intelligence predictions for 2020: 16 experts have their say — from verdict.co.uk by Ellen Daniel

Excerpts:

  • Organisations will build in processes and policies to prevent and address potential biases in AI
  • Deepfakes will become a serious threat to corporations
  • Candidate (and employee) care in the world of artificial intelligence
  • AI will augment humans, not replace them
  • Greater demand for AI understanding
  • Ramp up in autonomous vehicles
  • To fully take advantage of AI technologies, you’ll need to retrain your entire organisation
  • Voice technologies will infiltrate the office
  • IT will run itself while data acquires its own DNA
  • The ethics of AI
  • Health data and AI
  • AI to become an intrinsic part of robotic process automation (RPA)
  • BERT will open up a whole new world of deep learning use cases

The hottest trend in the industry right now is in Natural Language Processing (NLP). Over the past year, a new method called BERT (Bidirectional Encoder Representations from Transformers) has been developed for designing neural networks that work with text. Now, we suddenly have models that will understand the semantic meaning of what’s in text, going beyond the basics. This creates a lot more opportunity for deep learning to be used more widely.

 

 

Coming down the pike: A next generation, global learning platform [Christian]

From DSC:
Though we aren’t quite there yet, the pieces continue to come together to build a next generation learning platform that will help people reinvent themselves quickly, efficiently, constantly, and cost-effectively.

Learning from the living class room

 

Learning from the living class room

 

Learning from the living class room

 

2019 AI report tracks profound growth — from ide.mit.edu by Paula Klein

Excerpt:

Until now “we’ve been sorely lacking good data about basic questions like ‘How is the technology advancing’ and ‘What is the economic impact of AI?’ ” Brynjolfsson said. The new index, which tracks three times as many data sets as last year’s report, goes a long way toward providing answers.

  1. Education
  • At the graduate level, AI has rapidly become the most popular specialization among computer science PhD students in North America. In 2018, over 21% of graduating Computer Science PhDs specialize in Artificial Intelligence/Machine Learning.
  • Industry is the largest consumer of AI talent. In 2018, over 60% of AI PhD graduates went to industry, up from 20% in 2004.
  • In the U.S., AI faculty leaving academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

 

In the U.S., #AI faculty leaving #academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

 
© 2025 | Daniel Christian