Last night, CognitionX and HiBob hosted some HR experts to discuss AI’s impact on the industry.
Andy Bellass (HiBob’s CSO) asked the audience to brainstorm what the future of HR might be. Here are some of the answers:
Students will go to work at a co-ordinate given by a machine and it will have predicted to be the perfect job for that person
There will be no universities
We will change careers whenever we want and not have to pick once
Everyone will be life long learners
Every person will work alongside a bot and it will have the knowledge and they will have the human problem-solving skills
If you’re thirsting to learn more about the future of work then you should come to CogX London 2017 (June 20-21), which will feature awesome speakers on the topic, such as Calum Chace (“The Economic Singularity”) and our co-host Azeem Azhar (Exponential View).
Tabitha UntilTheBotsTakeOver Goldstaub
25 days till CogX. Be there or be intelligence artificial.
Recently, IBM announced a significant revamp of PowerAI (their AI software toolkit), seeking to address some of the bigger challenges facing developers and data scientists—cutting down the time required for AI system training significantly, and simplifying the development experience, including:
new software tool known as AI Vision, which seeks to improve ease of use for AI developers using images and
introduced a new cluster virtualization software called Spectrum Conductor
new distributed computing edition of the popular open-source machine learning framework, TensorFlow
software tool called DL Insight, which IBM says will make model development easier and more accurate
S.L. Benfica—Portugal’s top football team and one of the best teams in the world—makes as much money from carefully nurturing, training, and selling players as actually playing football. They are buying young talent; using advanced technology, data science, and training to improve their health and performance; and then selling them for tens of millions of pounds—sometimes as much as 10 or 20 times the original fee.
With machine learning and predictive analytics running on Microsoft Azure, combined with Benfica’s expert data scientists and the learned experience of the trainers, each player receives a personalised training regime where weaknesses are ironed out, strengths enhanced, and the chance of injury significantly reduced.
+Machine learning and data science are having a tremendous impact on all forms of entertainment. Come to CogX to find out more.
DataRobot, a leader in automated machine learning, today announced it has acquired Nutonian, Inc., a data science software company specializing in time series analytical modeling. Terms of the acquisition were not disclosed, and the deal is officially closed.
Developed in Cornell’s Artificial Intelligence Lab by two of the “World’s Most Powerful Data Scientists,” Nutonian’s AI-powered modelling engine, Eureqa, powers predictive and prescriptive analytics at global companies, including Audi, Beck’s Hybrids, NASA, and RealPage. Eureqa is renowned for its success in time series analytics and for creating easy-to-interpret predictive models in minutes rather than weeks or months.
It turns out the Apple Watch is a pretty mediocre heart rate sensor by medical standards, but researchers at the University of California, San Francisco used an app called Cardiogram with some machine learning to make the Watch a 97 percent accurate detector of one of the leading causes of stroke.
That remarkable bit of bootstrapping points to the broader trend of everyday tech becoming medical gear: Connected thermostats, light switches, voice assistants and cars all have data about our daily patterns that can be turned into wellness information when enough of it is gathered — what’s called “big data” — and sorted through by machines to spot patterns human observers would likely miss — AI.
If you walk into a store, only to hear the latter half of an interesting song playing over the store’s speakers, you can identify what it is using the app Shazam. This same kind of functionality has now been launched for cars, though not by the company behind Shazam. Called Blippar, this app can tell you the make and model of any car using a smartphone’s camera. That may sound a bit useless, since most cars have this information on the truck, but Blippar adds some extras into the mix.
Blippar comes from the company by the same name, and it aims to make it easier for consumers to identify the cars that strike their fancy. The app supports all cars on the US market that were built after the year 2000, and it is said to have a 97.7-percent accuracy. The app taps artificial intelligence for its abilities, promising performance above what a human could offer.
Jeff Tarrant, the founder of Protégé Partners, says, “Jeff Bezos picked off the bookstore business. Apple totally picked off the music business and Netflix totally changed television. Now [machine learning] is going to pick off the hedge funds.”
To back up that theory, he is launching a business that will invest solely in start-up investment funds that employ artificial intelligence. Protégé’s new business, dubbed Mov37, will invest in as many as 10 managers through either seeding them or investing directly, and is targeting total investments of up to $1bn. While many of the biggest systematic hedge funds, which use computer algorithms to make trading decisions, have already started employing machine learning techniques, Mr Tarrant believes it is the young emerging managers who will succeed in disruption.
+Want to know more about how machine learning is disrupting financial as a whole? Good news. Michael Harte, Chief Innovation Officer at Barclays will be at CogX. You don’t wanna miss you.