Agenda
| Time | Main Conference Agenda | |
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| 09:00 | Conference Introduction by Chairperson Highlights on Conference Day 1 Key Sessions |
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Day One Chairman:
JAKE SAUNDERS |
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| 09:15 |
Opening Address: The AI-First Enterprise: How Automated Machine Learning is Used To Transform the Enterprise |
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| Today, companies now have the ability to use machine learning & AI as a competitive advantage in their market, reduce operational costs, create new revenue streams, and drive higher customer satisfaction and loyalty. How then do you scale AI across your enterprise to deliver top & bottom line-benefits…create truly an “AI-Driven Enterprise”. | ||
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SEBASTIAN WEDENIWSKI Chief Technology Strategist Standard Chartered Bank |
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| 09:45 | The Intersect of Artificial Intelligence with Robotics: Latest Advances |
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| With the advent of social robots that act like our useful assistants, we will enjoy a more human interaction with the machines. We will show how such humanoid assistant can work as receptionist or customer agent . An experience in AIA company in Singapore will be shown . The insertion of social robots in companies will be discussed. | ||
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PROF NADIA MAGNENAT THALMANN Director, Institute for Media Innovation Nanyang Technological University |
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| 10:15 | Morning Refreshments & Networking Session | |
| 10:30 | Advanced AI Experience from abroad, with many case studies and latest AI innovations: |
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LIAN JYE SU Principal Analyst ABI Research |
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| 11:00 | Operationalising AI | |
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VINCE KASTEN Regional Operations – Robotics and AI Prudential Corporation Asia |
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| 11:30 | KEYNOTE TOPIC: Grab’s Transformational AI Lab in Singapore: How Grab is Using AI to Build its Future Business Platform | |
| Ride-hailing company Grab has teamed up with the National University of Singapore (NUS) to launch an artificial intelligence (AI) laboratory to solve urban transportation issues. The laboratory, which is aptly called the Grab-NUS AI Lab, has been set up with a joint initial investment of S$6 million). | ||
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Keynote Speaker: DR JAGAN VARADARAJAN Head of Data Science (Machine Learning and Maps) Grab |
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| 12:00 | Panel Discussion: Getting Ready for AI: How to Integrate AI into Your Existing Infrastructure |
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Moderator:
JAKE SAUNDERS |
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| Panelists: | ||
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VINCE KASTEN Regional Operations – Robotics and AI Prudential Corporation Asia |
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DOAN DO QUY Chief Digital Officer & Chief Technical Architect BNP Paribas |
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DR JAGAN VARADARAJAN Head of Data Science (Machine Learning and Maps) Grab |
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ANDREW KOH Deputy General Manager and Regional Head Risk Habib Bank Limited |
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SEBASTIAN WEDENIWSKI Chief Technology Strategist Standard Chartered Bank |
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| 12:30 | Lunch & Networking | |
| 13:30 | Roundtable Discussion: How Deep Learning and Machine Learning is Transforming Different Vertical Industries Forecasting |
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PRAVEEN LALA Regional Director GE Digital |
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KAT AGRES Research Scientist, Social & Cognitive Computing Department, (IHPC) A*STAR |
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Niyati Goel Global Rewards CoE Lead Air Asia |
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| 14:30 | Transforming Businesses with Artificial Intelligence | |
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DANIEL SPARING, PHD Machine Learning Specialist, Japan Asia Pacific |
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| 15:00 | Afternoon Refreshments & Networking Session | |
| AI In Broadcasting: Different Usages In The Industry | ||
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LISANDRO TAPIA Technical Design Director Mediacorp Pte Ltd |
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| 16:00 | Augmenting Drones with AI |
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JIIN JOO ONG Co-Founder & Chief Technology Officer Garuda Robotics |
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| 16:30 | AI For Perception And Tracking. Use-Case And Methodology | |
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ERIC JULIANI Head of Deep Learning Team Easy Mile |
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| 17:00 | Closing Remarks by Conference Chairman | |
| 17:10 | Champagne Networking Session | |
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| Enjoy a glass of champagne whilst networking with other like-minded individuals on topics that are of most interest to you and fellow delegates. |
| Time | Main Conference Agenda | |
|---|---|---|
| 09:00 | Conference Introduction by Chairperson Highlights on Conference Day 2 Key Sessions |
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Day Two Chairman:
ANDY TAN |
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| 09:15 | Org 2.0 – Collaborative AI Governance For The Future Of Work | |
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JASON SOSA CEO & Founder Blackbox AI |
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| 09:45 | A Human And Machine Collaborative Future For Research, Innovation And Enterprise (RIE) | |
| A new frontier awaits our industry and workforce as a human and machine collaborative future beckons. In line with its role as a thought leader, IMDA’s spearheaded initiatives by bringing together research, academia and industry collectively and shaping how machines and humans augment each other via future-ready systems to prepare us for our future. | ||
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Dr Lua Eng Keong Director, Intelligent Computing Labs , IMDA Adjunct Professor, National University of Singapore |
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| 10:15 | Morning Refreshments & Networking |
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| Attaining Transformational Business Outcomes with AI | ||
| 10:30 | Data-driven Approaches in a Technology Startup | |
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MICHAL SZCZECINSKI |
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| 11:00 | Moving AI Off Your Product Roadmap and Into Your Products | |
| We’re in the golden age of data science and artificial intelligence. It’s estimated that more data has been created in the past two years than the previous 5,000 years of humanity. And while we may recognize that AI will be the backbone of all technology in the future, it can be hard to keep up with the speed of innovation and even harder to move our AI efforts from our product roadmaps into the market. Leveraging technology enablers like deep learning, natural language processing, automated reasoning, and more and combining those enablers with great end-user experience and sophisticated UX. How then do you make your organization AI ready, determine the right AI applications for your business and products, and accelerate your AI efforts with speed and scale? | ||
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JULIANA CHUA Head Digital Transformation NTUC Income |
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| AI Breakthroughs and Adoptions in World Class Organizations | ||
| 11:30 | Data Analytics and Data Analytics based on AI Models | |
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SUDHIR PANDA Global Data Intelligence Lead, Digital Banking International Bank |
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| 12:00 | AI in Action: Case Study of How AI is Helping Doctors Predict Outcomes of Patients Effectively | |
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ANDY TAN Principal Medical Informatics Specialist National University Health System |
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| 12:30 | Lunch & Networking |
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| 13:30 | AI And Machine Learning- Contributing Across The Spectrum Of Healthcare |
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DR SHAILENDRA BAJPAI Head of Disease Management and Stakeholder Engagement Sanofi |
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| 14:00 | Utilizing Data In The Newsroom Amidst An Aggressive Digital Transformation At A Century-Old Paper |
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ROMAIN ROUQUIER Asst. Director of Data Analytics South China Morning Post |
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| 14:30 | Operationalizing Machine Learning: How to Ensure Value- Driven Deployment |
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| One of the biggest challenges in AI is how to translate advances in the lab into large-scale applications. This challenge sits at the intersection of AI and systems engineering and requires an integrated understanding of all of the components that make up a large machine learning-based system, including computation, storage, communications, and algorithms. What are the current trends in new AI systems and how codesigning these components in concert will be critical for building the AI systems of the future. | ||
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PRAVEEN LALA Regional Director, APAC and India GE Power Digital |
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| 15:00 | Afternoon Refreshment & Networking Session | |
| 15:30 | AI for Banking and Financial Services |
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GIRISH SUNDARAM Technology Director- Data Science | Analytics | AI Standard Chartered |
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| 16:00 | AI for Customer Experience and E-Commerce: How ML is Helping NTUC Link Transform a Legacy Loyalty Program into Omni-Channel Personalized Customer Experiences |
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KEVIN OH VP, Head of Customer and Digital Analytics NTUC Link |
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| 16:30 | The Artificially Intelligent Fund – What Works | |
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VICTOR LYE Founder & CEO PIVOT Fintech |
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| 17:00 | Closing Remarks by Conference Chairman |
| MORNING: POST-CONFERENCE SEMINARS |
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Seminar 1. How To Build Your Company’s AI Strategy. As a C-level executive, how do you navigate through the 4th industrial revolution, aka AI? This session provides strategy and best practices to affect your company’s bottom-line or top-line positively using AI, as well as how to oversee the whole cognification process.
Speaker: CLAUDIO CABALLERO |
| Seminar 2. Implementing AI & Deep Learning in R, the Well-known Open-source Platform for Data Science and Machine Learning
Speaker: |
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| Seminar 3. How to Train and Execute a Deep Learning Model Able to Re-identify and Extract Attributes from Humans
Speaker: |
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| AFTERNOON: SITE TOUR |
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Visits to corporations and institutions which have successfully rolled out AI & IoT programmes. Potential site visits include:
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