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Google’s Jeff Dean on the benefits of large-scale deep learning for building intelligent systems

Stephen Ibaraki | June 30, 2016
In every conversation with government, industry, media, and academia, it is a consistent focus of attention.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

AI via machine learning and deep learning drives the "AI first" strategy penetrating enterprises. Embrace it to live-long and prosper!

What's the significance?

In every conversation with government, industry, media, and academia, it is a consistent focus of attention. With businesses and startups, it's a must for existence. For example, the Financial Services Roundtable (FSR) consists of the top 100 CEOs in US financial services representing 92.7 trillion USD in managed assets and 1.2 trillion USD in revenues. For context, the GDP output of the planet is 80 trillion USD.

In the FSR upcoming futures summit FinTech Ideas Festival, AI is a key theme. AI is a catalyst behind the best sellers 4th Industrial Revolution explained in a book by Professor Klaus Swab, founder and executive chairman of the World Economic Forum and with the Second Machine Age from MIT professors Brynjolfsson and McAfee. UBS talks about the implications of AI in their excellent white paper for the World Economic Forum. From the paper, the sectors having the highest productivity and highest disruption from AI are IT services and autos. There is the IBM Watson AI XPRIZE challenging teams from around the world to solve the world's greatest challenges using AI with three finalist teams (perhaps even pure AI and robots) taking the stage at TED2020. OpenAI a non-profit with 1 billion USD in funding, has opened their OpenAI Gym to the world to experiment with machine learning supporting open source tools such as TensorFlow and Theano plus virtual robots, video and board games for testing.

The evidence is wide-spread with enterprise capable machine learning solutions and tools from Google, Microsoft, IBM, Amazon, and other major players. In addition, a proliferation of hardware solutions from NVIDIA, Movidius, IBM, Qualcomm, Samsung, and Chinese startup Horizon Robotics building chips.

This leads us to Google and parent Alphabet and their daily announcements centered on their AI-first strategy building on previous generations of cloud first and mobile first. A small sampling of their remarkable achievements leading the news: self-driving cars, Google Brain, Deep Mind, RankBrain, AlphaGo beating Lea Seedol, release of TensorFlo to open source, TPU (Tensor Processing Unit).

Meet Jeff Dean

Jeff Dean is one of Google's first hires in 1999 and the legendary scientist driving all major developments within Google and, when he publishes, the world. The citation from the ACM InfoSys Foundation Award computing's highest honour for young scientists illustrates this point. There is more in my 2013 chat with Jeff where he foreshadows the rapid gains with machine learning spotlighted in the 2016 July 7 ACM talk with link below.

 

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