Top 10 Skills In Demand By 2020

In fewer than four years, employers will seek employees with very different skill sets than they do today.


A report surveyed executives from more than 350 employers across 9 industries in 15 of the world’s largest economies to come up with predictions about how technological advancements will force the labor markets to evolve, and here are the top 10 skill sets respondents said will be most in demand by 2020:

10. Cognitive flexibility
The ability to think about multiple concepts simultaneously, with creativity, logical reasoning and problem sensitivity.
9. Negotiation skills
8. Service orientation skills
Reading the minds of others and reacting.
7. Judgment and decision making (data analysis)
As organizations increasingly collect more data, there’s a greater need for employees with the ability to analyse data and use it to make decisions.
6. Emotional intelligence
5. Coordinating with others
Collaborating and adjusting actions in relation to others.
4. People management
Motivate people, develop employees and identify the best people for the job.
3. Creativity
2. Critical thinking
Using logic and reasoning to identify strengths and weaknesses of different solutions and approaches.
1. Complex problem solving
Even with the increase in data to help make decisions, people still need the skill to solve complex problems.

See also: The 10 skills you’ll need for the jobs of 2020 (Infographic)

Original source – Business Insider

According To Microsoft, Human Attention Spans Are Now Shorter Than A Goldfish’s

Is Technology Making Your Attention Span Shorter Than A Goldfish’s?

If you’ve ever found it hard to concentrate on one thing without stopping to check your emails or post to social media, you’re not alone. The average human attention span – how long we can concentrate effectively on a single task – was recently reported by Microsoft to have dropped below the level attributed to goldfish.

This certainly plays to our fears about what the daily flood of social media and emails is doing to us, and to younger generations in particular. However, these figures may be misleading. For one thing, the report contains no real detail for either the goldfish or human attention span beyond the numbers on the web page Microsoft pulled them from.

More importantly, our minds are adaptive systems, constantly reorganising and refocusing our mental faculties to suit the environment. So the idea that our ability to pay attention may be changing in response to the modern, online world is neither surprising nor anything to necessarily worry about. However, there is an argument that we must take care to keep control of our attention in a world increasingly filled with distractions.

The increasing number of distractions in our world is partly due to the new and ever-evolving ways in which advertisers can put their message in front of us – and the “increasingly immersive” techniques they’ll use once the message is there. Realising this helps us understand that our attention is a resource being fought over by advertisers.

The online world is increasingly comprised of spaces where advertisers attempt to tempt us with their products. Similarly, public spaces are increasingly full of adverts that can play sound and video to further capture our attention. Escaping this advertising battleground is becoming one of the luxuries of the modern world. It’s why paid-for executive lounges at airports are free from noisy, garish adverts and why the removal of adverts is a key selling point for paid-for apps.

Our mental abilities are changing, as they always have done in order to best serve our success in changing environments. But now, more than ever, our environment is made by those who either want our attention or want to sell access to it. It will certainly be interesting to see how our cognitive abilities adapt to meet this new challenge. However, as individuals we too must start valuing our attention as much as the advertisers do.

Martin Thirkettle, Lecturer in psychology, The Open University and Graham Pike, Professor of forensic cognition, The Open University

Original source

Cientistas desenvolvem computador que imita forma de aprendizagem de humanos

Um grupo de cientistas desenvolveu um computador que imita a forma como os seres humanos aprendem novos conceitos, o que significa mais “um pequeno passo” no campo da inteligência artificial, refere um estudo divulgado hoje na revista Science.

“Estamos a tentar reduzir a diferença entre a capacidade da aprendizagem dos seres humanos e das máquinas (…) e descobrir a razão pela qual os seres humanos são tão bons a generalizar conceitos”, disse Joshua Tenenbaum, um dos responsáveis pela investigação, do Departamento de Ciência Cognitivas do Instituto de Tecnologia de Massachusetts, nos Estados Unidos.

Segundo o estudo, a principal virtude dos seres humanos é a sua “velocidade” e “diversidade” na hora de aprender novos conceitos e aplicá-los em novas situações.

“Os computadores têm dificuldade de generalizar a partir de amostras individuais” disse Brenden Lake, da Universidade de Nova Iorque e autor do estudo.

Os investigadores concentraram em aprender caracteres escritos à mão de vários alfabetos e desenvolver um algoritmo que permita a sua generalização a partir de alguns exemplos.

“O computador não tem um programa que se aplica a cada situação, mas um programa completo de diversos programas de aprendizagem que se adapta a cada circunstância”, acrescentou.

Ao comparar a capacidade daqueles computadores quando confrontados com tarefas de aprendizagem, incluindo a criação a partir de exemplos de caracteres vistos apenas em poucas ocasiões, com outros computadores e seres humanos, comprovou-se como superavam outros computadores e igualavam-se aos seres humanos.

Em muitos casos, os resultados dos seres humanos e este novo modelo cognitivo eram “praticamente indistinguíveis”.

“Na inteligência artificial não há grandes resultados. Existe um conjunto de boa ideias que funcionam. Esta é outra boa ideia, mais um pequeno passo”, disse Lake.

The Rise of the Data Scientist| By |Jeremy Levy


Earlier this year, the White House announced it named Dr. DJ Patil as its very first Chief Data Scientist. With the claim that the U.S. has seen “an acceleration of the power of data to deliver value,” White House CTO Megan Smith (formerly of Google) has further reinforced the notion that making data-driven decisions is becoming pervasive ? not just in bleeding edge startups or the biggest technology companies.

Everywhere you turn, companies are hopping on the bandwagon and bringing in someone to be their dedicated in-house “Data Scientist.” People like Jonathan Goldman at LinkedIn have paved the way for this new career, one that Harvard Business Review even called the “Sexiest Job of the 21st Century.”

So ? why is this happening now ? almost 30 years after the first dot com domain was registered and the floodgates of digital data opened?

It’s no big secret that the…

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Data Scientists and the Practice of Data Science| By |Bob Hayes


ibminsightpanelpicI was recently involved in a couple of panel discussions on what it means to be a data scientist and the practice of data science. These discussions/debates took place at IBM Insight in Las Vegas in Late October. Moderated by Brian Fanzo, the panel included me and these data experts:

  • Andrew C. Oliver, President of Mammoth Data
  • Lillian Pierson of Data-Mania
  • Matt Ridings, CEO of SideraWorks
  • Mike Tamir, Chief Science Officer of Galvanize

I enjoyed our discussions and their take on the topic of data science. Our discussion was opened by the question ?What is the role of a data scientist in the insight economy?? You can read each of our answers to this question on IBM?s Big Data Hub. While we come from different backgrounds, there was a common theme across our answers. We all think that data science is about finding insights in data to help make better…

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