Predictive analytics market $18.5 billion by 2021 – Issue 6: CognitionX Data Science, AI and Machine Learning Briefing

The sun is shining 🙂 Consider how we deal with weather…..Samuel Arbesman’s new book suggests: “While we can’t actually control the weather or understand it in all its nonlinear details, we can predict it reasonably well, adapt to it, and even prepare for it – soon we will model computer glitches the same way.” Today we mull on this thought as well as the importance of getting more women and humanistic behaviour into machine learning and much much more.

We’d love your human feedback to add to the data as that’s how machine’s learn… so please do let us know what you think and do share with your friends:

All the best,

Tabitha ‘untilthebotstakeover’ Goldstaub

Feed your mind over lunch

This week Samuel Arbesman, a complexity scientist and writer, will publish Overcomplicated: Technology at the Limits of Comprehension. It’s a well-developed guide for dealing with technologies that elude our full understanding. We’ve pre-ordered so it arrives tomorrow …Book Club? anyone?

First review by Aaron Frank, Singularity University Faculty and the comments section is brilliant reading

Welcome to the age of entanglement

Ethics questions of the day

“There’s almost always a problem when a homogenous group builds a system that is applied to people not represented by the builders.” Tyler Schnoebelen from Crowd Flower writes a very coherent blog about the need for more women in AI.

and Listen to Fei-Fei Li [who publishes under Li Fei-Fei], Andreessen Horowitz’s Distinguished Visiting Professor of Computer Science, talk about how we need more humanistic thinking to design and develop algorithms and how girls and women should be at the centre of this.

Is artificial intelligence work about Adams making Eves?

Impact on the Economy

The Obama administration in a speech last week given by Jason Furman, Obama’s chief economist and chairman of the US Council of Economic Advisors, noted two trends in the national economic data suggesting AI has the potential to eliminate good jobs faster than the US workforce could secure new ones, at least in the short term.

Stats that impress

This market research report evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise data arena. We haven’t waded through the whole document yet but this is a new useful stat for all AI business plans 🙂

Pure unadulterated research

How to use dropout: 2016 edition

18th July 2016

The desire to understand deep neural networks has triggered a flurry of research into Neural Network Visualization, but in practice we are often forced to treat deep learning systems as black-boxes. Tomasz Malisiewicz writes about the simple trick for upgrading black-box neural network outputs into probability distributions. Doesn’t look so simple to me, but hopefully will be useful to many of you.

Another example of a “robots taking humans jobs”

Today isn’t about “taking jobs” but supporting and helping people do their jobs more effectively.

MASAS, the Multi-Agency Situational Awareness System, is run by the Canadian Public Safety Operations Organization (CanOps) and is intended to monitor and display information that is relevant to public safety. Thus it includes information about fires, earthquakes, bad weather, traffic problems, road outages, large crowds, shelter locations and status, border crossings, and so on.

The breadth of MASAS is noble, but it seems to limit its value. For example, as the CanOps website notes, because agencies are reticent to share sensitive information with other agencies, all the information shared was non-sensitive.

It’s got a long way to go, but we’ll be watching

Chat Bots, yadda yadda yadda

The addictive nature of messaging apps, with over 1.4 Billion monthly users and impressive retention and engagement stats promises a future in which “there’s a bot for that” will overtake “there’s an app for that” as the tech industry’s go-to catchphrase says Venture Beat.

Something to get involved in

The ultimate test of wits computer security occurs through open competition on the global Capture the Flag (CTF) tournament circuit. In CTF contests, experts reverse-engineer software, probe its weaknesses, search for deeply hidden flaws and create securely patched replacements.

Meet the Finalists, attend in person (free) on August 4th, 2016, or you can also watch a live broadcast of the CGC Final. Don’t worry we will remind you.

$4m search for machines that can discover, confirm and fix software flaws in real-time

Exciting Opportunities

  • Chief Data Scientist for a new marketplace startup
  • Growth Hacker, marketing Exec at a new startup
  • CTO and Group IT Director of Global hospitality group
  • Co Founding CTO at an Agri Tech Startup
  • Data Engineer for Image Processing startup

Polling Me, Polling You

Currently the movie Her is winning the polls to be the movie that the CognitionX community believes is the closest resemblance to the future. Still time to cast your vote.

What will life be like in 2066?

CognitionX Events

‘Break into Data Science’ series. Join us tomorrow when guest speaker Hugo Pinto, talks IBM Watson’s latest innovations and applications, while learning what it takes to become the next Hugo Pinto. Be there or be square…or both

What's Hugo Pinto, IBM’s Innovation & Digital Transformation Expert, gonna say??

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