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



Organiser’s Opening Remarks

Sharon Roessen, Managing Director, Terrapinn Asia
Troels Lund Poulsen

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 healthcare, R&D and manufacturing

The healthcare industry is facing a multitude of challenges. New diseases are emerging daily, and they are no longer confined by geographical boundaries. The rapidly aging population is also another cause for concern especially in Asia. However, the cure to today’s healthcare challenges no longer rests only on the shoulders of healthcare practitioners. Keynote speaker, Julie Olszewski, shares insights into the trends of the healthcare industry. She will touch on the challenges of today’s healthcare industry and how big data and analytics are key to overcoming them. Delegates will also gain an understanding of how different sectors can leverage data to improve patient care, medical manufacturing, clinical trials, and disease prevention.

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?
Jo-Ann Pass

"Connected Utility" - A case study on Sydney Water

  • How is Sydney Water utilising different facets of AI to improve operational efficiency 
  • Using smart water sensors in tracking of water quality, temperature, consumption and other metrics
  • Applying data mining to imporving accuracy and usability of event detection 

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 
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
Abhinav Singhal

Thinking and working on its own: An artificial intelligence in group control system

  •    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 AI empowered system
  •    Case study on Thyssenkrupp

Networking Drinks Reception

last published: 27/Jul/17 11:35


AITECHX, Thursday 7 September 2017



Chair’s opening remarks

Hiroshi Saijou

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

Partha Dutta

An inclusive approach for a Big Data and Analytics strategy

The volume, variety, and velocity (pun intended) with which computational algorithms, tools, platforms, services, etc. are being developed in the Big Data and Analytics space that it can be a challenge for a business to define a robust, if not the best, investment strategy. Making this choice is a business decision as well as a technology decision and one has to consider various granular issues in order to derive a good answer. This presentation will focus on the specific topic of the need for balancing between using existing off-the-shelf solutions and investing in exploratory works that are still in the incubation stage, and where a carefully constructed synergy between the two could achieve best results. A disclaimer is that the points made in this talk are drawn from the speaker’s personal experience of working in multiple industries and not specific to any organisation’s Big Data and Analytics strategy.

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

Roundtable Discussion Session

round tables

Roundtable 2: What is blockchain and how is it going to benefit the logistics industry


Roundtable 5: Digital railway of the future: Adopting the latest technologies in rail systems


Roundtable 6: Autonomous vehicles – potential game changer for urban mobility


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


Roundtable 10: Embracing robotics & drones in resources industry


Roundtable 11: Monitoring utility assets with drones


Roundtable 12: Improving utilities performance with IoT and data analytics


Roundtable 14: Smart Buildings: How can IoT add value?


Roundtable 15: Addressing key considerations in financing start-ups in Asia


Roundtable 16: Building innovative organisation culture in Asia


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?
Jagannadan Varadarajan

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
Nandita Pal

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?
Nandita Pal, Vice President for Growth, TRAFI

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: 27/Jul/17 11:35





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