Exciting business applications of artificial intelligence, deep learning and machine learning algorithms. Join us for 2 days of exciting discussions as we explore commercial use cases for artificial intelligence technology across 5 key industries: Factories, Utilities, Logistics, Transport & Construction.


Featured Speakers





AITECHX, Wednesday 6 September 2017



Chair’s Opening Remarks


Guest of Honour's Opening Remarks

Aric Dromi

A digitally-enabled autonomous future: How technology will change the way we think and work

Julie Olszewski

Making sense of data analytics: How big data is transforming R&D and manufacturing


Exhibition Visit & Networking Refreshments

Panel discussion

Smart City Leaders Panel From blueprint to scale: What does it take to be a smart city?

With smart city plans being announced across the world, we bring together some of the world’s leading success stories, to share how they have built their smart cities.
  • What do we really mean by a smart city? Just how smart can we go?
  • What works, what doesn’t, and why? What are your biggest challenges and how are you solving them?
  • How to engage key stakeholders for successful smart city pilot programmes
  • Power of the people: How can we engage our citizens and what role should they play? 

Exhibition Visit & Networking Lunch


Wilson Ang

Discovery of data centre anomalies through Artificial Intelligence: A case study in utility

The amount of energy consumed by big data centres has always been a headache for large enterprises. IMDA is having a solution to this problem using AI to manage power usage. The AI works out the most efficient methods of cooling by analysing data from sensors among the server racks, including information on things like temperatures and pump speeds.
  • The challenge of collecting data from thousands of sensors within the data centre
  • How to use the data to train the machine learning systems
  • Each data centre has a unique architecture and environment. How to create an efficient and adaptive framework to understand each data centre’s dynamics?
  • What other challenges have you faced and what have you learned?

Artificial intelligence: Shaping the next wave in the utility industry

  • Adopting AI to accurately estimate electricity demand by drawing on big data
  • How can AI help to improve process efficiencies?
  • Is the power utilities industry primed for widespread use of AI?

Using AI for solar home systems

  • Using a AI-powered power management systems to learn a customer’s typical power usage pattern and adjusting light brightness to meet expected demands
  • How does the technology encourage users to switch to solar power?
  • How does the model allow user to progressively expand their solar power systems?

Exhibition Visit & Networking Refreshments


Sierra Wang

How AI will change manufacturing

  •     Making your manufacturing smarter
  •     Discovering how AI helps to build a more customer centric manufacturing process and supply chain
  •     Using AI to create a leaner and more segmented supply chain 
Sierra Wang, Leader Digitalization & Innovation, BMW Brilliance Automotive
Andreas Hauser

Making your factory robotics smarter with AI

  •     Using AI and robotics to minimise human error 
  •     Balancing efficiency and ethics: How do companies replace routine, highly repetitive tasks with machines while keeping workers trained to perform higher value added elements of the manufacturing processes? 
  •     How will AI-enabled robotics change the workforce of the factory as we known it?
Session led by: tuv-sud

Thinking and working on its own: A smart factory case study

  •     Overcoming challenges in creating a fully self-aware smart factory 
  •     Exploring the best strategies to build an intelligent system capable of collecting data, analysing information and taking corrective actions 
  •     Investigating the role of human supervision in smart factories 

Networking Drinks Reception

last published: 23/May/17 11:05


AITECHX, Thursday 7 September 2017



Chair’s opening remarks

Hiroshi Saijou

Moving beyond traditional manufacturing businesses: Building the future of Yamaha Motor

Hiroshi Saijou, CEO and Managing Director, Yamaha Motor Ventures and Laboratory Silicon Valley
Partha Dutta

It all starts with data: How can you make yours work for you?

Data are useful only if they can be used to support enterprise decisions and solve business problems. But in reality, a lot of the data are not fully utilised in organisations. With lots of noise and concerns over the quality of data, sifting through the data to extract valuable information has remained a major challenge. There is also an infinite number of ways in which the data can be combined, compared and analysed to extract useful patterns and business insights. So, how do major organisations use data and analytics to inform strategic and operational decisions? This closing keynote provides insights into the key considerations for large multinational enterprises to manage data and build analytics capability. 
Partha Dutta, Principal Adviser – Analytics Data Intelligence and Insights (DI&I), Rio Tinto

Industry 4.0: Disruptive technologies that will change your business and how you can stay ahead of the curve

Technologies including IoT, AI, 3D and robotics are transforming industry. It’s an unstoppable phenomenon and no industry will be immune. So how can you unlock the potential of this technology for your business? Join us for this exciting keynote session to learn how you can establish a foundation to integrate new technology into your business and what opportunities it will create for you. Built on a series of use case examples, this is one session not to be missed.

Exhibition Visit & Networking Refreshments

Veiverne Yuen

Roundtable Discussion Session

Now’s your chance to get really interactive, simply pick a table and join the debate. Each table will run for two iterations, giving you the chance to enjoy two roundtables.

Roundtable 1: Things I wish I knew about integrating robotics in logistics
Roundtable 2: What is blockchain and how is it going to benefit the logistics industry
Roundtable 3: Connected logistics: How IoT, cloud and analytics are the key drivers

Roundtable 4: Autonomous vehicles – potential game changer for urban mobility
Roundtable 5: Big data in improving passenger journeys 
Roundtable 6: Securing your transport systems

Roundtable 7: IoT & data in factory: Where are we now?
Roundtable 8: Upgrading existing facilities: Robotics & automation in Asia factory
Roundtable 9: Big data & analytics roles in modern manufacturing

Resources & Utilities:
Roundtable 10: Embracing robotics & drones in resources industry
Claus Nehmzow, Digital Innovation Organisation, BP, Singapore
Roundtable 11: Building a smarter grid with IoT 
Roundtable 12: Improving utilities performance with IoT and data analytics
Jitendra Nalwaya, Additional Vice President, BSES Yamuna Power Limited, India

Roundtable 13: A journey towards a Smart City 
Roundtable 14: Smart Buildings: How can IoT add value?

Financing & implementation
Roundtable 15: Addressing key considerations in financing start-ups in Asia
Veiverne Yuen, Co-Founder and Managing Director, tryb Capital, Singapore
Roundtable 16: Building innovative organisation culture in Asia
Vegard Aas, Head of Innovation, Telenor Group, Singapore

Vegard Aas, Head of Innovation, Telenor Group

Exhibition Visit & Networking Lunch


Tony Lee

Foresighted Asset Management - System to Algorithm

  • How can AI be effectively deployed in managing complex asset maintenance schedules
  • How MTR is using cloud computing, IoT, AI and smart sensor technology to improve operational efficiency
  • Key takeaways for other metros considering implementing AI on their own systems?
Swara Desai

Predicting taxi availability with machine learning

  • How is Grab using machine learning to cut down waiting time for a taxi?
  • Building models for predicting taxi availability to improve matching on the platform

Enhancing journey planning with machine learning

  • Adopting scientific algorithms and real-time processing of traffic situations to predict journey durations accurately
  • How can machine learning help to customise and improve the user experience?

Exhibition Visit & Networking Refreshments


Improving building inspection with drones and machine learning

  • Utilising UAVs to conduct inspection of building conditions
  • Using machine learning to identify cracks and defects through image analysis
  • What challenges in security regulations have to be overcome before we see a wider adoption of drones in building inspection?

Close of TECHX 2017

last published: 23/May/17 11:05





For speaking opportunities, contact Yunxuan Koh at or +65 6322 2703