Looking back, what have we learnt? How have technological advances come to fruition?
In her interview with us, Ayesha Khana, CEO & Founder of ADDO AI, sums up some well-rounded thoughts on how well AI technologies have been integrated into existing industries and businesses. Increasing big data availability coupled with stronger computational power, AI is now massively powering various industries. With all the media attention, many have heard about these advancements. However, the number one challenge still remains:
They don’t know what it means.
Ayesha believes that there needs to be better executive education in machine learning innovations, especially across analogous industries. This will inspire creativity and thoughts about how machine intelligence and deep learning can be applied to to their own industries.
In March, we had were proud to host the inaugural Machine Intelligence in Autonomous Vehicles Summit in San Francisco. Joining us were speakers from Ford Motor Company, Audi/ Volkswagen Electronics Research Lab, Renovo, Toyota InfoTechnology Center, Stanford Intelligent Systems Lab, and many more. Attendees heard from engaging speakers on a variety of topics including: Autonomous Vehicle Landscapes, Vehicle Communication, Simulations, and The Human Factor (Human-in-the-Loop).
Perhaps what would have been thought to be an exceptional sector to apply deep learning, Ben Chamberlain, Senior Data Scientist at ASOS, tells us how the sector uses the same broad machine learning techniques, just applied differently. With a background in physics and finance, Ben began his work in MI in military defense before segueing into the retail industry.
ASOS is an exemplary illustration of a company that has creatively integrated AI technologies to power their services - exactly the kind of innovation Ayesha talked about.
Were you at some of our summits over the past 6 months?|
Catch up on the ones you missed on the RE•WORK Video Hub. The video hub contains an extensive collection of presentations from our summits since 2016. With 100+ hours of content from 200+ unique speakers covering everything from natural language processing to deep learning for medical imaging, the latest in AI is right at your fingertips.
Stay tuned for our upcoming events in the second half of 2017!
Join us for the Deep Learning Series in London, Montréal and San Francisco; And look out for our new tracks: Deep Learning in Enterprise, AI in Industrial Automation, Deep Learning for Robotics. View our calendar here.
10 October 2017, Montreal
What are the latest advancements in deep learning research? Where are the most recent scientific breakthroughs? Hear the latest research news from global pioneers in Natural Language Processing, GANs, Reinforcement Learning, CNNs and Unsupervised Learning at the summit.
25 January 2018, San Francisco
The Deep Learning Summit is the next revolution in artificial intelligence. The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research. This summit will explore how deep learning algorithms and methods are being applied to solve challenges in industries including healthcare, manufacturing, transport, security and communications.
25 January 2018, San Francisco
The market for deep Learning applications across industries such as healthcare, finance, retail, manufacturing and utilities is rapidly advancing and expected to reach $10.4 billion in 2024. The Deep Learning for Enterprise Summit explores applications of deep learning to optimize business efficiency in areas including: predictive maintenance, risk analysis, demand and supply optimization, sentiment analysis, and market targeting.