Machine Learning, Deep Learning and AI for Strategic Innovation
Artificial Intelligence (AI) in its multiple forms and guises, has huge potential to change the ways in which we live and work . As we all know, AI, Machine Learning and Deep Learning are not new, however, there has been huge investment in the space in recent years and the ability to automatically apply complex mathematical calculations to Big Data – over and over, faster and faster – is a fairly recent development. With steady advances in digitisation and cheap computing power, no wonder people are excited about the possibilities.
Join us for this Pre-conference Focus Day and hear from companies leading the way in this space. Learn about the ways in which they are using ML, DL and AI in practical ways within their businesses, to improve internal efficiencies, drive profits, better serve their customers, fight crime and even save lives.
What exactly is Machine Learning? Exploring the origins and current ecosystem. In what ways is Machine Learning different to AI, Data Science, Data Mining, Analytics, cognitive, etc. What are the opportunities and risks for using Machine Learning within your business?Speaking
Machine learning algorithms aren’t new, but the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. With steady advances in digitization and cheap computing power, what tangible opportunities does this present for optimizing your business and processes? Human vs. Machine – Discussing… Read more.Speaking
What exactly is Deep Learning? Differences from traditional Machine Learning; current state of technology How does it work? Technical underpinnings; different types of neural networks What are common use cases? Most common applications of DL How can I jump start DL capability in my organization on a shoe string budget? Open source tools, libraries including… Read more.Speaking
It took 20 years to develop the first ever vaccine against dengue disease. What are the obstacles in exploring the wealth of data generated over time? Is AI hype or can it really be a tool to augment researchers’ knowledge of the field? How? What may need to change? How could AI be a force… Read more.Speaking
Collecting more data, and making it available across the organization, has never been easier. At the same time, modern machine learning techniques are rapidly being made available to process all that data. Naturally, one wonders whether to invest more on collecting more data, or on algorithms to analyze it. In this session, we discuss how… Read more.Speaking
How can Big Data and Machine Learning make patient lives better? Is it possible to develop sophisticated algorithms that can spot patient illness before they’ve been identified? What would the ramifications be in society either-way? Review a case study on Duchene Muscular Dystrophy and leveraging a predictive model. How can frameworks like Theano, Torch and… Read more.Speaking
Publicly available data on corporate clients combined with what banks know about the clients internally create an opportunity to understand clients’ behavior to serve them better and drive business value. We discuss application of machine learning techniques to these traditional business problems. Machine learning and, particularly, deep learning produces astonishingly accurate results at the expense… Read more.Speaking
Best practices in choosing, designing, and implementing from the portfolio of analytical methods including real-time, geospatial, machine learning, statistical, and “big data” Discussing ways to operationalize the results from advanced analytics and models and put them in to action? How do we integrate Internet of Things, pervasive sensing, and the cloud into my companies existing… Read more.Speaking
Director of Data Science & Analytics at Global Banking & Markets - Scotiabank