The AI revolution and its impacts, with J. Zuiderveld, Nvidia
On May 9th & 10th, more than 5000 professionals will gather in Luxembourg for a new edition of ICT Spring, where topics such as FinTech, Industry 4.0, Tech, Space and Digital will be discussed. Jaap Zuiderveld, VP EMEAI at Nvidia, will share his knowledge on Artificial Intelligence.
Can you explain us what exactly is “Deep Learning”?
Deep learning is a form of artificial intelligence that enables computers to learn from data and write software that is too complex for people to code. Thanks to new deep learning algorithms, the availability of big data and the computing power of the graphics processing unit (GPU), deep learning has ignited the ‘big bang’ of modern AI. This new computing model has proven to be ‘unreasonably’ effective at solving some of the most complex problems in computer science.
Artificial Intelligence is going to revolutionize several sectors, but according to you which sector is going to change radically thanks to AI?
In this AI era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. Artificial intelligence won’t be an industry, it will revolutionise every industry. From healthcare to customer service and automotive to banking, it’s clear that this new computing model will infuse consumer technology as much as it will reinvent enterprise computing.
You declared that we are all already using AI. How? What are the most common AI examples?
As consumers, our lives are touched by AI every day. Retailers like Amazon and Netflix suggest products that fit our preferences, a technique that uses deep learning to analyse not only our own purchasing and browsing history but that of thousands of other consumers to deliver uncannily accurate results. Proctor and Gamble recently launched its Olay Skin Advisor app, which uses GPU deep learning to analyse users’ skin and recommend the best products. Volvo is trialling AI-powered self-driving cars on the roads of Sweden, while Audi announced its AI car will be on the market by 2020. And in healthcare, doctors will use AI to detect disease at the earliest possible moment, to understand the human genome and tackle cancer, or to learn from the massive volume of medical data to recommend the best treatments.
In the enterprise, SAP has declared that it intends to infuse all its applications with intelligence, bringing AI to hundreds of thousands of businesses worldwide. We also see intelligent robotics driving a new wave of productivity improvements in manufacturing and financial services organisations implementing deep learning to detect fraud and improve customer service.
And this is just the start. Thanks to GPU deep learning, what was recently science fiction is now reality. The change brought about by AI is accelerating at a pace never seen before in our industry.