How to Hire a Great Data Scientist — from toptal.com; with thanks to Kathlyn Tantuan for this resource.

Excerpt:

What makes a great data scientist? The answer depends on the branch of data science in question and your specific needs, but all data scientists inevitably share a core set of skills. This comprehensive hiring guide outlines critical skills and explains how to pick the right data scientist for the job.

 

 

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.

 

20 digital transformation leaders to follow on Twitter in 2020 — from enterprisersproject.com by David. F. Carr
Committed to digital transformation this year? Follow these people for perspective and emerging lessons

Excerpt:

One of our New Year’s resolutions was to refresh and expand our Twitter feed for digital transformation leaders, reviewing them not just for the use of the right hashtags but for the content they share.

There are a few repeats from a similar list we shared last year, but for the most part, we tried to give you new Twitter handles to follow. This year’s list includes CIOs, authors, consultants, and cloud computing leaders. Some only post on technology topics, while others share thoughts on family, culture, politics, and favorite movies.

The common denominator we looked for was a thoughtfully curated feed that’s not entirely self-promotional but adds to the conversation we’re all having about how to understand the potential of digital transformation and put it to work for our organizations.


From DSC:

While these types of lists invariably leave off a ton of extremely talented individuals and organizations who are worth following as well, such lists are a good starting point for:

  • Someone to use to begin tapping into streams of content in a given area
  • Observing the topics, issues, ideas being discussed
  • Building one’s network
  • Seeing who these folks follow and who they respect
  • …and more.

Searching for the top __ people of Twitter in subject XYZ is a solid way to enhance our [lifelong] learning ecosystems.

 

Gen Zers and Millennials More Likely Than Older Generations to Embrace Continuous Learning; Also Feel More Stressed by Pressure to Learn New Skills — from prweb.com

Excerpt:

BOSTON (PRWEB) JANUARY 14, 2020
When it comes to updating professional skills, continuous learning is more important to Millennials and adult Gen Zers than to Gen Xers and Baby Boomers, according to a survey of 1,048 adults, conducted by getAbstract, a company that summarizes top business books, articles and videos.

More than half of Millennials (58 percent) and adult Gen Zers (52 percent) said success in their careers depends on updating their skills and knowledge frequently, compared with 35 percent of Gen Xers and 34 percent of Baby Boomers.

However, younger workers are also more likely to feel stressed about the need to continuously update their skills and knowledge. Almost one-third (31 percent) of Millennials and Gen Zers said engaging in continuous learning stressed them out, compared with 19 percent of Gen Xers and 15 percent of Baby Boomers.

 

8 digital transformation trends for 2020 — from enterprisersproject.com by Stephanie Overby
Having some digital transformation fatigue on your team? You’re not alone: Here’s what else to watch for in the year ahead, digital leaders

Excerpts:

“2020 will still see the rapid scaling of digital initiatives across industries,” says Steve Hall, partner and president of global technology research and advisory firm ISG. “In many areas, CIOs and organizations have prepped their organizations for change but haven’t made the full leap to transforming their culture to fully embrace the change.”

Trends mentioned include:

  1. Digital operating models become mandatory
  2. More data, more problems
  3. AI takes center stage
  4. M&A shakes up IT services
  5. New digital transformation allies emerge
  6. Public cloud adoption expands
  7. New digital transformation metrics will emerge
  8. IT takes the long view on digital insights

 

 

120 AI predictions for 2020 — from forbes.com by Gil Press

Excerpt:

As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month.

 

Learning for a Living — from MIT Sloan Mgmt Review by Gianpiero Petriglieri

Excerpt (emphasis DSC):

Calls for learning have long been common at corporate retreats, professional conferences, and similar gatherings. But with the furious pace of change that technology has brought to business and society, they have become more urgent. Leaders in every sector seem to agree: Learning is an imperative, not a cliché. Without it, careers derail and companies fail. Talented people flock to employers that promise to invest in their development whether they will stay at the company or not.

If we are after transformative learning, what we need is a familiar yet open frame — a playground of sorts that magnifies our habits and the culture that breeds them so that we can examine both, and imagine and try new ways of being.

A boot camp must replicate workplace constraints to help us master ways of navigating them more efficiently. Whether it’s a course on, say, reaping insights from data analytics or a training session on giving respectful feedback, the space supports practice and improvement. A playground must remove most constraints to promote experimentation. Providing some distance from day-to-day reality allows us to get real in a deeper sense. A boot camp amplifies and exploits the shame of learning, helping us learn how not to be found wanting. A playground exposes and challenges that shame, helping us realize that if we were less anxious, it might be easier to claim what we want and discover how to get it.


From DSC:

A heads up. The way they use the word bootcamp is different from the way I’ve heard that word used these last 5-7 years. I think of bootcamps as more along the lines of a 10-12 week, intensive course — often involving programming. I don’t see them as internal training courses. But this article uses the word bootcamp in that way.

 

Evergreen Data Visualization  — from stephanieevergreen.com; with thanks to Mr. Pat Bailey for his post on LinkedIn.com about this resource

From DSC:
If you are using RSS feeds along with a product like Feedly, it might be worth subscribing to the stream of content originating at stephanieevergreen.com/blog/. I appreciated her designs in crafting/relaying narratives via the data that she has worked with.

Here’s an example posting:

 

From DSC:
Another good example of a learning ecosystem! Here’s a shout out to all of you checking in here:

  • Thanks for your time and for the check in!
  • Let’s all intentionally enhance our individual — as well as our organizations’ — learning ecosystems!

From Directed Learning to Self-Directed Learning: The role of L&D — from modernworkplacelearning.com

Self-directed learningby

 

Considering AI in hiring? As its use grows, so do the legal implications for employers. — from forbes.com by Alonzo Martinez; with thanks to Paul Czarapata for his posting on Twitter on this

Excerpt:

As employers grapple with a widespread labor shortage, more are turning to artificial intelligence tools in their search for qualified candidates.

Hiring managers are using increasingly sophisticated AI solutions to streamline large parts of the hiring process. The tools scrape online job boards and evaluate applications to identify the best fits. They can even stage entire online interviews and scan everything from word choice to facial expressions before recommending the most qualified prospects.

But as the use of AI in hiring grows, so do the legal issues surrounding it. Critics are raising alarms that these platforms could lead to discriminatory hiring practices. State and federal lawmakers are passing or debating new laws to regulate them. And that means organizations that implement these AI solutions must not only stay abreast of new laws, but also look at their hiring practices to ensure they don’t run into legal trouble when they deploy them.

 

The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed — from businessinsider.com by Rosalie Chan and Bani Sapra

Excerpt:

The job search site Indeed released a report this month about the top tech skills of 2019 based on job descriptions that are being posted.

Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing.

“Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.”

 
 

MIT-IBM Watson AI Lab releases groundbreaking research on AI and the future of work — from liwaiwai.com

Excerpt:

IBM believes 100% of jobs will eventually change due to artificial intelligence, and new empirical research released last October 30 from the MIT-IBM Watson AI Lab reveals how. The research, The Future of Work: How New Technologies Are Transforming Tasks, used advanced machine learning techniques to analyze 170 million online job postings in the United States between 2010 and 2017. It shows, in the early stages of AI adoption, how tasks of individual jobs are transforming and the impact on employment and wages.

“As new technologies continue to scale within businesses and across industries, it is our responsibility as innovators to understand not only the business process implications, but also the societal impact,” said Martin Fleming, vice president and chief economist of IBM. “To that end, this empirical research from the MIT-IBM Watson AI Lab sheds new light on how tasks are reorganizing between people and machines as a result of AI and new technologies.”

While most jobs will change as new technologies, such as AI, scale, the research shows few jobs will actually disappear. What is fundamentally changing is the way we work. 

 

Key findings from the paper here — from mitibmwatsonailab.mit.edu

  1. Tasks are Shifting Between People and Machines – But the Change has been Small
  2. Tasks Increasing in Value Tend to Require Soft Skills
  3. High- and Low-Wage Jobs are Gaining Tasks and Earning More

 

Also related/see:

Brookings: AI will heavily affect tech and white-collar jobs — from venturebeat.com by Khari Johnson

Excerpt:

AI is set to have a big impact on high-wage, white-collar, and tech jobs, according to a new Brookings Institution study released today. The report analyzes overlap between job descriptions and patent database text, using NLP to assign each job an exposure score.

“High-tech digital services such as software publishing and computer system design — that before had low automation susceptibility — exhibit quite high exposure, as AI tools and applications pervade the technology sector,” the report reads.

 

6 critical IT skills for the next decade: Bay Area CIO of the Year winners share — from enterprisersproject.com by Ginny Hamilton
What skills will IT talent need most? Six award-winning CIOs discuss the top skills on their radar screens – from AI to emotional intelligence

I’d highly recommend all technology professionals build their external network and contribute to the external professional community as early in your career as possible. The wisdom of the tech community is incredibly important, and because you have to curate this over an extended period of time, there is no accelerated option you can tap at a later date. Technology professionals need to constantly be re-inventing themselves to stay relevant. As technology evolves, so too do the people and roles around it. Constant change is the steady state today and as I tell my team, “The pain of change is mandatory, it is the suffering that is optional. And if you don’t like change, you are going to like irrelevance even less.”

 

From DSC:
This is an especially good read for students who are considering going into a tech-focused career. If you decide to go that route, you had better be ready for constant change….constant, lifelong learning. And as you get older, you will face age discrimination. Enjoy the jobs that you get from ages 18-30 (perhaps even up to age 35). After that, it gets much tougher. Hopefully, that situation will change as more organizations get sued for allowing this discrimination to continue (perhaps implementing is the more appropriate word…vs. allowing it to occur). Here are some examples of those kinds of issues/suits. But for now, that’s the state of things…at least here in the United States.

 
© 2024 | Daniel Christian