data related items

The AI Roundup – Top 15 Blogs of 2020 [re-work.com]

On 12/21/2020, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, computer science, data related items, programming, vendors, by Daniel Christian

The AI Roundup – Top 15 Blogs of 2020 — from blog.re-work.co

Excerpt:

Below we have rounded up our 15 most-read blogs of the year, including must-read papers suggestions from AI experts, advice for those starting out in AI, Netflix predictive algorithms and more. See a summary of each blog and link below!

Re: college admissions: Hhmmm….here’s an interesting idea.

On 12/16/2020, in Artificial Intelligence/Agents/LLMs/and Related, business side of he, colleges, community colleges, data related items, future of higher education, higher education, ideas, innovation, intelligent systems, learner profiles, learning agents, learning preferences, liberal arts, universities, by Daniel Christian

Can Algorithms Save College Admissions? — from chronicle.com by Brian Rosenberg
We’ve tried a system based on competition long enough. It isn’t working.

Excerpt (emphasis DSC):

Here is an alternative and much more radical proposal: What if we replaced the current and longstanding admissions process among private colleges with a match process, similar to what has for years been used to match medical-school graduates with residency and fellowship positions? What if, in other words, we used data and algorithms instead of travel, merit aid, and free food to drive college admissions?

From DSC:
Love the “What if…” thinking here and the spirit of innovation behind it. I wonder if AI and cloud-based learner profiles might play into something like this in the future…?

Also see:

7 Ways To Make College Admissions More Equitable — from stradaeducation.org by Patty Reinert Mason and Jeff Selingo
Is it time to reconsider early-decision applications, legacy preferences, and reliance on feeder high schools?
Selingo offers these practical steps colleges and universities can take to make admissions more equitable:

Eliminate early-decision applications.
Be upfront about what you’re looking for in this year’s incoming class so students and parents have the information they need.
Be transparent about what it costs to study at your school.
Look beyond traditional “feeder high schools” for recruitment, creating opportunity for a more diverse group of students.
Reduce preferences given to athletes and legacies.
Rethink application requirements to put more emphasis on high school coursework and grades and less on extracurriculars, recommendations, and essays.
Expand the size of freshman classes.

Also see:

Attention Administrators: More Flexibility in Online/Course Schedules Results in Higher Enrollment — from fierceeducation.comby Jacqueline Renfrow

An exodus out of Silicon Valley? Hmm…

On 12/12/2020, in analytics, career development, change, cloud-based computing / apps / other cloud-related, computer science, corporate / business world, data related items, United States, workplace, by Daniel Christian

Oracle joins Silicon Valley exodus — from linkedin.com by Jake Perez

Excerpt:

Oracle is joining the Silicon Valley exodus and moving its headquarters to Austin, Texas. A spokesperson for the tech giant said the move will “best position Oracle for growth and provide our personnel with more flexibility about where and how they work.” As the pandemic has spurred a gradual acceptance of remote work, some major companies are bailing on California’s high taxes and cost of living. Earlier this month, Hewlett Packard Enterprise announced it was moving from San Jose, Calif., to Houston, and Tesla founder Elon Musk announced his move to Texas this week.

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:

Scale, which helps companies improve their A.I. capabilities, is now worth more than $3.5 billion and breaking even — from cnbc.com by Jordan Novet

Who needs to be discussing/debating “The Social Dilemma” movie? [Christian]

On 10/18/2020, in 21st century, 24x7x365 access, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, attention, business, changing business models, cloud-based computing / apps / other cloud-related, colleges, computer science, corporate / business world, curriculum, dangers of the status quo, Daniel S. Christian, data related items, design, emerging technologies, engagement / engaging students, Facebook / Meta Platforms, future, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, legislatures / government / legal, marketing/social marketing, marketplaces, mathematics, media/film, Microsoft, new business models, participation, platforms, policy, political science, religion, social learning / networks, social media, society, sociology, the downsides of how people use tech, tools, trends, United States, universities, usability, user experience (UX), user interface design, vendors, by Daniel Christian

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.

The pandemic pushed universities online. The change was long overdue. [Gallagher & Palmer]

On 10/07/2020, in 21st century, 24x7x365 access, adjunct faculty, Alternatives, analytics, Artificial Intelligence/Agents/LLMs/and Related, business, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, corporate / business world, cost of getting a degree, credentialing, curriculum, data related items, faculty/staff, future of higher education, game-changing environment, generational differences, higher education, ideas, instructional design, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, liberal arts, MOOCs -- Massive Open Online Courses, more voice more choice more control, New "Amazon.com" of Higher Education, online learning, Uncategorized, United States, universities, by Daniel Christian

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.

I could see cloud-based learner profiles along these lines too. [Christian]

On 09/29/2020, in Alternatives, analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, business, career development, cloud-based computing / apps / other cloud-related, computer science, content development, aggregation, repositories, corporate / business world, credentialing, Daniel S. Christian, data related items, emerging technologies, future, game-changing environment, generational differences, heutagogy, higher education, homeschooling/homeschoolers, ideas, innovation, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, passions, platforms, programming, social media, society, student-related, tools, workplace, by Daniel Christian

“You see this most fundamentally in Bitcoin and in blockchain. The keys will be more and more in the hands of the individual.”

DC: I could see cloud-based learner profiles along these lines too. Each individual will say who gets access to their profile. https://t.co/2jnWBTxeRs

— Daniel Christian (@dchristian5) September 29, 2020

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!

On 09/17/2020, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, adjunct faculty, Alternatives, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, assessment, Australia, Blockchain, business, business side of he, Canada, Canvas - and other Instructure-related items, career development, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, consortiums, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, credentialing, curriculum, Daniel S. Christian, data related items, digital learning, digital storytelling, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, educational games / serious games, elearning, engagement / engaging students, Europe, faculty/staff, flipping -- inverted learning, formal learning, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, immersion, India, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, microlearning, MOOCs -- Massive Open Online Courses, multimedia, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, online learning, online media, online tutoring, open courseware and systems, personalized/customized learning, platforms, play, productivity / tips and tricks, robotics, science, simulations, society, teachers, teaching & learning, teaching online, technologies for your home, technology (general), tools, training / L&D, UK, United States, universities, user experience (UX), vendors, voice recognition / voice enabled interfaces, web-based collaboration, workplace, XR - extended reality, by Daniel Christian

Also see:

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 [artificiallawyer.com]

On 08/31/2020, in Artificial Intelligence/Agents/LLMs/and Related, data related items, Google, ideas, innovation, law schools, Legal operations, legal technologies, legislatures / government / legal, productivity / tips and tricks, research, society, tools, vendors, by Daniel Christian

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 Through, Maya 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 [O’Reilly]

On 08/04/2020, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, computer science, data related items, innovation, Natural Language Processing (NLP), robotics, society, technology (general), trends, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, XR - extended reality, by Daniel Christian

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 [Dishman]

On 07/15/2020, in accreditation, analytics, career development, change, computer science, data related items, Google, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, professional development, staying relevant, training / L&D, United States, user experience (UX), vendors, by Daniel Christian

‘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.

Guides on how to ace your next data science interview

On 07/08/2020, in Amazon, analytics, business, career development, colleges, community colleges, computer science, corporate / business world, data related items, economics, engineering, mathematics, Microsoft, programming, tools, workplace, by Daniel Christian

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

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.

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