With the carrot of AI we can’t overlook the stick of failure for early adopters. Just like the rise of online and cloud many large companies are setting up AI divisions but to succeed, it may be necessary to shift the entire portfolio to an AI-first business. Embracing wholesale change, not the one big win, will pay the total dividends AI offers.
Tristan Harris has been called the “closest thing Silicon Valley has to a conscience” and in this discussion he delves into the persuasion economy and how it is an awesome force that shapes our lives by exploiting the gaps in our human architecture. Can we say technology is agnostic any longer? This is essential listening.
Automation is among the top priorities for Nordic
IT decision makers in 2017, with 37% of Nordic-based survey respondents planning to implement an IT automation initiative during the year. A case example is Norwegian bank Sparebank 1 SR-Bank, which is introducing an AI-powered virtual customer service agent called James. The bank said James will be able to do most of the work of its approximately 40 customer service centre employees, changing their job description dramatically.
At its F8 developer conference in San Jose, Facebook announced the launch of Caffe2, a new open source framework for deep learning. Caffe2 differs from the PyTorch framework Facebook have contributed to in that it is focused towards “industrial strength” applications and use for mobile.
Will the same cloud companies that are displacing enterprise data centers and taking over big data deployments be the most likely winners in the machine learning war? Early signs suggest the answer is ‘yes.’ Because most enterprise data sits inside corporate data centers, not in the cloud, it’s reasonable to assume that vendors like Cloudera and Hortonworks will have a big part to play in the future of machine learning and
Science fiction novels have long delighted readers by grappling with futuristic challenges like the possibility of artificial intelligence so difficult to distinguish from human beings that people naturally ask, “should these sophisticated computer programs be considered human? Should ‘they’ be granted human rights?”
Deep learning has received attention recently for its ability to create machine learning models with very high accuracy. It’s especially popular when the availability of massive datasets with rich information make it feasible to train ever-larger neural networks.
Microsoft’s Data Science Virtual Machine (DSVM) is a family of VM images published on the Azure marketplace with a broad choice of machine learning and data science tools.
Sherif Markaby resigned from his position as Uber’s vice president of global vehicle programmes a year after he joined the company from Ford, where he had spent 25 years and was director of global electronics and engineering.