In this session, we illustrate how practitioners in many fields — rather than only computer scientists — can employ Bayesian Networks as a very practical form of Artificial Intelligence (AI) for exploring complex problems. We present the remarkably simple theory behind Bayesian Networks and then demonstrate how to utilise them for research and analytics tasks. More specifically, we explain how supervised and unsupervised machine learning algorithms can perform knowledge discovery with Bayesian Networks in high-dimensional domains, e.g. financial markets.
The inter-relation between AI and data has become stronger and more powerful than before because AI offers the promise of huge benefits for individuals and society, and data feeds the way in which AI works. As we progress in the race for AI, we need to appreciate the value and vulnerability of data, and how important it is to properly handle data and the algorithms that feed on it. In this event, hear from the experts as they discuss ways to gather, use, and regulate data, and how companies need to adapt to a new, digital way of working.
Global industries and governments are racing to bring self-driving vehicles to their streets and – just as importantly – competing to make the greatest strides to capture that market. The 2018 KPMG Autonomous Vehicles Readiness Index (AVRI), which rates major industrial countries on their ability to adopt self-driving vehicles en masse, ranked Canada seventh in overall readiness for a world of self-driving vehicles. Canada’s advantages for developing autonomous technology include a highly skilled workforce and leading work in artificial intelligence.
The financial sector has been making bold bets on the digital revolution. For this event, we bring together the brightest and best fintech professionals from universities and the industry for an afternoon of thoughtful discussions, knowledge sharing, and networking. This session will cover both technical updates and market trends. Come join us and stay ahead of the competition!
Singapore and the Netherlands are both ranked in the top five of the most innovative economies in the world on the Global Innovation Index. Both countries attach great importance to innovation and the triple helix approach, bringing government, academics and industry together to collaborate. How can we deepen and expand our R&D efforts, especially in the field of AI?
AI is everywhere right now – in our news feeds, our devices, our homes. The hype is spreading quickly to permeate every industry, and the executives of the world want to know, “Beyond the hype, what can AI actually do for my business?”
This is a private networking evening with SGInnovate and the Class of 2019 Innovators Under 35 Asia Pacific, celebrating the deep tech trailblazers from around the region - Australia, Brunei, Cambodia, Hong Kong SAR, Indonesia, Laos, Malaysia, Myanmar, New Zealand, Philippines, Singapore, Taiwan, Thailand and Vietnam.
The urban mobility sector is in the process of massive transformation. Technological disruption brings new services and innovations into the field while increasing environmental and social challenges demand new solutions. Join SGInnovate, GOJEK, ST Engineering and Via ID as we discuss the future of mobility and an environment full of new ideas and business solutions that fast-growing startups, investors and corporates are creating.
AI enhanced decision making will drive the world economy by 2025, with systems that enable autonomous decision-making in complex and dynamic environments, such as financial services, logistics, ride sharing and autonomous vehicles, port management and autonomous systems.
Data is your most strategic asset and AI can help you unlock new value from it. However, will your current approach deliver the value you need to lead in your industry?
With the rise of AI in our economy, more concerns over possible ethical scenarios such as the misuse of data, accidents by self-driving cars and weaponised AI are emerging. What are some relevant considerations for Singapore? And what roles should the government and private companies play to help maximise benefits of AI for our economy and society?
We often hear that AI will drive massive disruptions in the global workforce, but what if AI can also help people find jobs, develop skills, and plan for careers more effectively?