The State of AI in 2020 -- from McKinsey and Company

Where AI is being used most in 2020

From DSC:
I saw this item out at:

  • AI is delivering a growing share of earnings, says McKinsey — from which-50.com by Andrew Birmingham
    Excerpt:
    Some companies are generating an increasing share of the profits in a way that is directly attributable to AI, and the best performers are likely to increase their investments setting up a world of algorithmic leaders and laggards, according to a new paper from McKinsey & Company. Called The State of AI in 2020, the report notes that we could start to see a widening divide between AI leaders and the majority of companies still struggling to capitalise on the technology.

Also see:

 

AI Conversations: Enabling Smarter, More Efficient Healthcare — from cio.com

Excerpt:

Healthcare providers face a wide range of critical challenges in delivering quality healthcare while containing rising costs. Many forward-looking providers are using artificial intelligence to streamline workflows, improve diagnostics, personalize medicine and reduce the length of hospital stays.

 

From DSC:
Who needs to be discussing/debating “The Social Dilemma” movie? Whether one agrees with the perspectives put forth therein or not, the discussion boards out there should be lighting up in the undergraduate areas of Computer Science (especially Programming), Engineering, Business, Economics, Mathematics, Statistics, Philosophy, Religion, Political Science, Sociology, and perhaps other disciplines as well. 

To those starting out the relevant careers here…just because we can, doesn’t mean we should. Ask yourself not whether something CAN be developed, but *whether it SHOULD be developed* and what the potential implications of a technology/invention/etc. might be. I’m not aiming to take a position here. Rather, I’m trying to promote some serious reflection for those developing our new, emerging technologies and our new products/services out there.

Who needs to be discussing/debating The Social Dilemna movie?

 

 

The pandemic pushed universities online. The change was long overdue. — from hbr-org.cdn.ampproject.org by Sean Gallagher and Jason Palmer; with thanks to Mike Mathews for his posting on LinkedIn re: this item

Excerpt:

A number of elite institutions — such as Princeton University, Williams College, Spelman College, and American University — have substantially discounted tuition for their fully online experience in an historically unprecedented fashion, highlighting pricing pressures and opening up Pandora’s box. This comes after a decade of growth in postsecondary alternatives, including “massively open online courses” (MOOCs), industry-driven certification programs, and coding bootcamps.

This moment is likely to be remembered as a critical turning point between the “time before,” when analog on-campus degree-focused learning was the default, to the “time after,” when digital, online, career-focused learning became the fulcrum of competition between institutions.

 

Radar trends to watch: October 2020 — from oreilly.com

Excerpt:

This month, the big surprise is that there’s no significant technology news about COVID. And there is more news than ever about legislation and regulation. I suspect that the legal system will be a big driver for technology over the next year. Another trend that doesn’t quite count as technology news but that definitely bears watching is that college enrollment in the US is down. Grad schools are up, 4 year colleges are down slightly; the big hit is in 2 year colleges. COVID is probably the biggest contributing factor, but regardless of the cause, this is an inauspicious trend.

 

 

From DSC:
Along these lines…

Sometimes, I think we need to be very careful with Artificial Intelligence (#AI) — which elements of it and which applications of it that we use in our society and which we don’t move forward with. But in the case of cloud-based learning profiles (some might say competency profiles), AI makes sense. Algorithms could make sense. Data mining could make sense.

A cloud-based learning profile might not make sense always to us — as it could be very large indeed. But AI-based algorithms could assist with finding appropriate matches between jobs, competencies, passions, skills, and candidates.

Such services will likely be part of a next-gen learning platform.

 

DC: You want to talk about learning ecosystems?!!? Check out the scopes included in this landscape from HolonIQ!

You want to talk about learning ecosystems?!!? Check this landscape out from HolonIQ!

Also see:

Education in 2030 -- a $10T market -- from HolonIQ.com

From DSC:
If this isn’t mind-blowing, I don’t know what is! Some serious morphing lies ahead of us!

 

ROSS Chrome Extension For Legal Research — from artificiallawyer.com

Excerpt:

ROSS Intelligence, the legal research pioneer, has launched a free Chrome extension to find case law support for text found anywhere on the web.

In this latest AL TV Product Walk ThroughMaya Bielinski, Head of Product at ROSS, explains how it works and what its capabilities are in this 8-minute overview.

As Maya explains, all you have to do is highlight the text you are interested in, right click, and find decisions that express the concept you’ve searched.

The application uses ROSS’s Find Similar Language tool, which uses semantic search.

 

Radar trends to watch: August 2020 — from oreilly.com
Trends in COVID-19, AI, data, robotics, programming, VR, technology and society, and security.

Excerpt:

A promising new voice separation model allows voice recognition to distinguish up to five voices speaking simultaneously without knowing the number of speakers in advance.

 

What should schools, colleges and Universities do in September? …7 actions — from donaldclarkplanb.blogspot.com by Donald Clark

Excerpts:

Let me start with a tough question. Weighing your wish to return to schools or campuses, given the current surge of Covid cases, is the return to the classroom or chasing the cash worth a single dead student, teacher or parent? Or should we see the September return as an opportunity to change things for the better and by that I mean for teachers, lecturers, students and parents? We need a reset.

Necessity is the mother of invention. I hope that this human tragedy allows us to transform the learning landscape to be better and more inclusive through Blended Learning. We have an opportunity to use contemporary technology to reduce teacher workload and improve learning at the same time.

 

‘No college degree required’: Google expands certificate program for in-demand job skills — from fastcompany.com by Lydia Dishman

Excerpt:

Google just announced that it is expanding its skills certification program to help more people land high-paying tech jobs without a college degree.

The Grow with Google Career Certificates will be available soon for in-demand jobs including Data Analyst, Project Manager, and UX designer. These jobs pay between $60,000 and $90,000, on average.

From DSC:
Does this get at what Professor Scott Galloway was talking about yesterday at the Remote Conference? That is, that Big Tech is coming for healthcare and education. Could be. 

Also see:

  • Google to launch 3 more tech certificates on Coursera — from educationdive.com by Natalie Schwartz
    Excerpt:
    The certificates — which will be in data analytics, project management and user experience design — will cost $49 a month and take three to six months to complete. Google will fund 100,000 need-based scholarships for those who take them.
 

From DSC:
For current and/or future data scientists out there.

Guides on how to ace your next data science interview

Required Skills
The data analyst position at Amazon requires specialization in knowledge and experience. Therefore, Amazon only hires highly qualified candidates with at least 3 years of industry experience working with data analysis, data modelling, advanced business analytics, and other related fields.

Other basic qualifications include:

  • Bachelor’s or Masters (PhD prefered) in Finance, Business, Economics, Engineering, math, statistics, computer science, Operation Research, or related fields.
  • Experience with scripting, querying, and data warehouse tools, such as Linux, R, SAS, and/or SQL
  • Extensive experience in programming languages like Python, R,  or Java.
  • Experience with querying relational databases (SQL) and hands-on experience with processing, optimization, and analysis of large data set.
  • Proficiency with Microsoft Excel, Macros and Access.
  • Experience in identifying metrics and KPIs, gathering data, experimentation, and presenting decks, dashboards, and scorecards.
  • Experience with business intelligence and automated self-service reporting tools such as Tableau, Quicksight, Microsoft Power BI, or Cognos.
  • Experience with AWS services such as RDS, SQS, or Lambda.
 

This unique free event is designed to give our learning community a chance to explore the most popular topics discussed at Learning Technologies.

The 2020 Learning Technologies Summer Forum (#LTSF20) takes place online, looking at some of the key topics we examined at February’s conference. Once again, the Summer event is an opportunity to interact, experiment and try some new things together.

 

What is blockchain technology? The ultimate guide for beginners. — from cryptocoinsociety.com by Jesús Cedeño

Excerpt:

The purpose of this article is to address three central questions that should be discussed to fully understand and appreciate this revolutionary and disruptive technology called blockchain. This will include historical details about nascent technology and its evolutionary progress through the first decade of existence. We will also explore the different types of this technology and explain why the blockchain name is a misnomer and introduce a more proper name for the technology.

Why do we Need Blockchain Technology?
To answer this question we need to state what is the value proposition of Blockchain Technology. Blockchain’s value hinges on decentralization. Without decentralization blockchain technology is no different from regular databases. Decentralization removes the need to have an intermediary or a single authority that acts as gatekeepers of truth or having to trust an entity to ensure the trustworthiness of any transaction. Through blockchain, people will be able to transact with each other directly without having to worry that transactions will push through and will not be reversible.

 

 

Acts of meaning: How AI-based interviewing will transform career preparation in higher education — from er.educause.edu by Alan Jones, Suzan Harkness and Nathan Mondragon

Excerpt:

Machines parrot and correlate information. They do not comprehend or synthesize information the way humans do. Factors such as accents in pronunciation, word ambiguity (especially if a word has multiple meanings), deeply coded biases, limited association data sets, narrow and limited network layers used in job screening, and static translations will continue to provide valid ground for caution in placing too much weight or attributing too much confidence in AI in its present form. Nonetheless, AI has crept into job candidate screening, the medical field, business analytics, higher education, and social media. What is currently essential is establishing an understanding of how best to harness and shape the use of AI to ensure it is equitable, valid, and reliable and to understand the shifting paradigm that professional career counselors play on campus as AI becomes more ubiquitous.

There appear to be three points worth considering: the AI interview in general, the predominance of word choice, and expressiveness as read by facial coding.

From DSC:
Until there is a lot more diversity within the fields of computer science and data science, I’m not as hopeful that biases can be rooted out. My niece, who worked for Microsoft for many years, finally left the company. She was tired of fighting the culture there. The large tech companies will need to do a lot better if AI is going to make FAIR and JUST inroads.

Plus, consider how many biases there are!

 

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