About the Conference

With Artificial Intelligence (AI) and robotic automation projected to contribute up to $2.2 trillion to the economy by 2030, AI is poised to have a revolutionary effect on enterprises, job markets and the economy. According to PwC, global GDP will be 14% higher in 2030 as a result of AI and productivity improvements are expected to account for half of all gains to 2030.

AI presents real business opportunities in improving the top line revenues as it enables organizations to break prevailing trade-offs between speed, cost, and quality and perform tasks that traditionally could only be performed by humans. However, hype-driven and ill-informed investments in AI will not only fail to capture the benefits of AI but also lead to losses. Thus, appropriate investments and considerations are needed to leverage on AI to dramatically improve performances and create competitive advantages for organizations.

Business leaders who are looking to seize these tremendous opportunities will need to first overcome some of these obstacles:

  • What is the impact AI will have on my organization
  • Where should we invest on AI in the organization
  • What kind of capabilities would enable my organization to perform better
  • How to ensure data quality to derive insightful results
  • How to build AI in a responsible and transparent way

Attend 2nd Applying Artificial Intelligence and Deep Learning for Enterprises Conference and hear from evangelists in different industry sectors who will share their experiences on how they leverage artificial intelligence, machine learning and deep learning to achieve organization excellence and greater bottom lines. You could also gain from the practical insights in deploying AI into organizations’ legacy infrastructures and keep your eyes open to a new world of possibilities.

Mark 15 – 17 May 2019 in your calendar and reserve your seat now. I urge you to come join the conference to uncover the opportunities that would benefit your organization!

We look forward to welcoming you this May!

Why Join This Conference

12 Themes That Are Powerfully Relevant To Your Business:

  1. AI-First Enterprise: How Machine Learning is Used To Transform the Enterprise
  2. Case Study: How Alibaba is Uses AI To Re-imagine the Future of its Business
  3. Case Study: Grab’s Transformational AI Lab in Singapore
  4. How Deep Learning is Transforming Different Vertical Industries
  5. GE Case Study: Operationalizing Machine Learning
  6. How to Integrate AI into Your Existing Infrastructure
  7. How Government is Using AI to Increase Efficiency, Service Delivery and Citizen Engagement
  8. NTUC: Achieving Transformative Business Outcomes with Artificial Intelligence
  9. OCBC Case Study: Using AI to Drive Across Its Entire Business
  10. Building the AI Systems of the Future
  11. Solving Business Problems with Deep Learning
  12. CTO and Chief Data Scientist Panel

The Conference at a Glance

DAY 1: Wednesday 15 May 2019

  • The AI-First Enterprise: How Advanced Machine Learning Will Transform the Enterprise
  • How a Top Ride-Hailing Company is Using AI to Build its Future Business Platform
  • What Top Companies Are Doing with AI + Industry 4.0 Today, What Are the Investment Opportunities, What We Can Learn from Them – Success in the Age of AI
  • Operationalizing Machine Learning: How to Ensure Value-Driven Deployment
  • Case Study: AI in Engineering Services, Packaging and Manufacturing, Factory of the Future: Robust AI in the Production Chain
  • How to Integrate AI into Your Existing Infrastructure – The Case in the Use and Implications of AI for Creative Fields Such As Music
  • Many Use Cases Across the industries & New Applications of AI

DAY 2: Thursday 16 May 2019

  • Government-Wide AI Strategy: How AI Increase Efficiency, Reduce Operational Costs, Improve Service Delivery and Increase Citizen Engagement
  • Achieving Transformative Business Outcomes with Artificial Intelligence
  • Design Thinking in AI: Utilizing Data in the Newsroom Amidst an Aggressive Digital Transformation at a Century-old Newspaper
  • Building the AI Systems of the Future: Trends in New AI Systems
  • What We’ve Learned Solving Business Problems with Deep Learning

Post-Conference Seminars & Site Tour: 17 May 2019

  • How To Build Your Company’s AI Strategy
  • How to Train and Execute a Deep Learning Model to Be Able to Re-identify and Extract Attributes from Humans
  • Visits to corporations, innovation labs and institutions which have successfully rolled out AI & IoT programmes or are test-bedding new AI-IoT technologies

Companies Expected at the Conference

  • A*STAR
  • ABI Research
  • Accenture
  • AGL Energy
  • AIA
  • Allen & Gledhill
  • Aviva
  • AXA
  • BMW
  • CIMB
  • Citi Bank
  • Coca Cola
  • Continental AG
  • Daimler
  • Deloitte
  • DHL
  • Easy Mile
  • Ernst & Young
  • FedEx
  • Fujistu Asia
  • GE Digital
  • GOGOVAN
  • Grab
  • GSK
  • Hong Leong Finance
  • HSBC
  • JP Morgan
  • KPMG
  • Lazada
  • Nanyang Technological University
  • National Museum of Singapore
  • National University of Singapore
  • NTUC Income
  • OCBC Bank
  • Palmolive
  • Petronas
  • Pfizer
  • Procter & Gamble
  • Prudential
  • PwC
  • Singapore Airlines
  • Singapore National Eye Centre
  • Singapore Post
  • Singapore Tourism Board
  • Singapore University of Technology and Design
  • Singtel
  • South China Morning Post
  • Standard Chartered
  • Temasek International
  • Tenaga Nasional
  • TTS Hospital
  • UBS
  • Unilever
  • United Energy and Multigas
  • Wong Partnership
  • Zalora