Singapore's most exclusive and influential Big Data & AI conference is coming back, so take your place alongside more than 100 AI scientists, Machine Learning leaders, data innovators and strategists who are redesigning the future of information technology.

Confirmed Speakers include:

The summit will gather the most influential, knowledgeable and innovative AI and ML leaders across the globe. We’ve hand-picked our speakers for their expertise, experience and influence in data science and engineering, machine learning, AI technology and strategy, and most importantly the “special something”: a unique human touch, a truly individual mind, or the courage to take their organisation through hell and back – and win. We’ve found that this kind of person gives the best to our clients, and gets the best from them.

Agenda

We co-develop the Summit Agenda with our Data Scientists and AI Leaders so you can expect a variety of activities, sessions and networking opportunities that will really maximise what your gain.

Agenda Highlights:
2 Themed Tracks on Day 1 Afternoon
Track 1 - Data Science and AI, led by Alan Turing and “AI’s10 to Watch 2018” scientists
Track 2 - ML and AI in Financial Industry

2 Themed Tracks on Day 2 Afternoon
Track 1 - AI Start-ups in Singapore
Track 2 - Data-driven Business Strategy

Please also check back regularly for additions of more new speakers.

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • 09:00 – 09:30

    by Chief Data Officer, Standard Chartered Bank

    In this presentation Shameek will share with the audience how should data professionals position themselves and ready for the challenges in front of the rise of AI.

  • 09:30 – 10:00

    by Data Scientist, Apple

  • 10:00 – 10:30

    by Director of Research Engineering, The Alan Turing Institute

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    by CIO & Senior Director, Asia Pacific, PepsiCo

  • 11:30 – 12:00

    by Chief of Future Intelligence Technologies, Rolls-Royce Singapore

  • 12:00 – 12:30

    Ice-Breaker Session

  • 12:30 – 14:00

    Lunch

  • Track 1

    14:00 – 14:30

    by Director of Research Engineering, The Alan Turing Institute

    In this unconference-style workshop, facilitated by Dr James Hetherington, Director of Research Engineering at the UK’s Alan Turing Institute, members of the research and data science communities will discuss the challenges and best practices for creating cloud-based environments for exploratory research with confidential data.

    Topics discussed will include:

    • Software ingress. How can researcher-written software and scripts be introduced to a secure cloud environment, without compromising either researcher productivity or security?

    • Egress of derived data. How can we use peer-review to verify that scripts which we believe create non-sensitive derived data do not leak sensitive data, so that these derived data artefacts can be published and shared?

    • Collaboration and interoperability. How can we move toward standards to provide guarantees about data safe havens within the data science community so that organisations can fluently collaborate?

    Track 2

    14:00 – 14:30

    by Head of Conversational Intelligence, HSBC

    Rauls is leading HSBC APAC Business Model Innovation team's development efforts and business strategy in the field of Artificial Intelligence. Building the next generation of conversational interfaces and products (chatbots, robo-advisors, voice-based assistants) using state of the art machine learning techniques (i.e. advanced Deep Learning models like contextual RNN-GANs) and frameworks. He will share his insights on this.

  • Track 1

    14:30 – 15:00

    by Associate Professor, Nanyang Technological University

    In January 2017 CMU’s Libratus system beat a team of four top-10 headsup no-limit specialist professionals, which was the first time an AI had beaten top human players in this game. Libratus’s success is purely based on algorithms for solving large scale games and has nothing to do with deep learning! Over the last few years, algorithms for solving large scale games have also been applied to scheduling security resources in many significant domains including airports, federal air marshals service, coast guard, and wildlife conservation organizations. This talk will discuss key game theoretic techniques behind these success and their potential applications in other domains including sustainability.

    Track 2

    14:30 – 15:00

    by AI Research Quant, BNP Paribas

    Benjamin researches on the latest topics in artificial intelligence and automation, and applies these technologies to prototype and develop effective solutions for BNP Paribas sales and traders at BNP Paribas Global Markets. BNP Paribas work involves a variety of techniques, including natural language processing and various deep neural network architectures.

  • 15:00 – 15:30

    PM Coffee Break

  • Track 1

    15:30 – 16:00

    by Assistant Professor, Nanyang Technological University

    With the recent developments of deep learning, AI research has gained new vigor and prominence. However, machine learning still faces three big challenges: (1) it requires a lot of training data and is domain-dependent; (2) different types of training or parameter tweaking leads to inconsistent results; (3) the use of black-box algorithms makes the reasoning process uninterpretable. At SenticNet, we address such issues in the context of NLP via sentic computing, a multidisciplinary approach that aims to bridge the gap between statistical NLP and the many other disciplines necessary for understanding human language such as linguistics, commonsense reasoning, and affective computing. Sentic computing is both top-down and bottom-up: top-down because it leverages symbolic models such as semantic networks and conceptual dependency representations to encode meaning; bottom-up because it uses subsymbolic methods such as deep neural networks and multiple kernel learning to infer syntactic patterns from data.

    Track 2

    15:30 – 16:00

    by Head of Products, Blue Fire AI

    As more investors are moving to passive investing, there is tremendous pressure for active asset managers to generate alpha while creating a sustainable competitive edge. Developing a rigorous data culture to drive decisions, developing capabilities to make sense of vast oceans of data to generate superior actionable insights and finding the right talents are amongst the impediments to transform organizations and prepare them to embrace today’s and future challenges.

  • Track 1

    16:00 – 16:30

    by Assistant Professor, Nanyang Technological University

    Recently, supervised-learning algorithms such as deep learning have made a great impact on our society However, it has limitations like relying heavily on the size and quality of the annotated training data and being domain specific.

    Jialin's long-term research goal is to develop transfer-learning techniques to build learning systems that can adapt to new and related domains with little or no human supervision.

    Track 2

    16:00 – 16:30

    by Data & AI Lead, Manulife

    Satish leads the development of machine learning (ML) & AI systems for Manulife's insurance, investments and banking businesses. He will share the approaches and user cases they are doing about ML and AI.

  • Track 1

    16:30 – 17:00

    This is a wrap-up session where all the speakers for the Technical Track of the event will sit together to discuss how those most advanced technologies can be applied to daily use and business operations. They also will give advices on how data scientists, engineers and technologists from the business sector should prepare themselves for the technological transformation.

    Track 2

    16:30 – 17:00

    by Head of Deep Learning, Ensemble Capital

    With every deep learning algorithm comes a set of hyperparameters, and optimizing them is crucial in achieving faster convergence and lower error rates. The majority of people working in deep learning use common heuristic methods to tune hyperparameters, such as learning rates, decay rates and L2 regularization.

    Recently researchers have tried to cast hyperparameter optimization as a deep learning problem but they are often limited by the lack of scalability. I will be showing how scalable hyperparameter optimization is possible to accelerate convergence, and can be trained on one problem while enjoying the benefits of transfer learning that is scalable. This has impact on the industrial level where deep learning algorithms can be accelerated to convergence without manual hand-tuning even for large models.

  • 17:00 – 19:00

    Networking Drinks

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • 09:00 – 09:30

    By Grab

  • 09:30 – 10:00

    Our strategy in BHP is to own and operate large, long-life, low-cost, expandable and upstream assets. And we are diversified by commodity, geography and market. This scale and diverse footprint puts us in the perfect position to leverage the next-generation of Artificial Intelligence and Machine Learning. Machine learning is problem focused. Our strategy is to apply machine learning to most complex problems we face with assets to drive insights as well as enhance their reliability. The focus of this presentation will be ‘How we embraced machine learning to our assets to enhance their reliability and fault tolerance’.

  • 10:00 – 10:30

    The key to embrace the wave of AI technologies is not about technologies per se, but people's readiness to override the trend.

    Printing is rapidly evolving from analog to digital, and training and development on the latest digital transformation technologies are vital for print services providers and professionals in the print industry. In this presentation Yehuda will share with us how does HP Learning Academy in Singapore accelerating the printing industry by deploying AR and VR technologies, and further to get the talents' mindset ready for the era of AI.

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    by VP, Intelligent Air Solutions, MANN+HUMMEL

    IoT is changing the world of filtration, altering the very nature of the business. Today, MANN+HUMMEL is evolving beyond the basics of filtration, creating connected filtration systems, adding value wherever possible, while also striving to make the world a cleaner place. MANN+HUMMEL VP Jason Tang provides the insight on digitalisation and self-evolvement through data and IoT.

  • 11:30 – 12:00

    We use data for everything from making informed decision to building new AI-powered product features. I am going to talk about what enabled us to innovate and the journey to build a truly data driven culture.

  • 12:00 – 12:30

    Would you like to leave the event with a toolkit full of the case studies about the most effective use of AI across industries? Then don't miss out this round-up session:
    - All the audience and speakers will be grouped randomly
    - Each group sum up the most effective AI technologies in use within his/her own industry via group discussion
    - The conference organiser will put all the recommendations together to formulate an article "The Key Takeaway: The Most Effective Use of AI" and send over to all attendees after the summit

  • 12:30 – 14:00

    Lunch

  • Track 1

    14:00 – 14:30

    The rise of AI and Blockchain are merging to create a lot of new opportunities within the Global Data Economy. This session will include a brief summary of blockchain, its compatibility and synergy with AI and advanced data mining techniques, and how these are likely to power new business models going forward。

    Track 2

    14:00 – 14:30

    Data driven market is growing exponentially, brands these days are not just using the data driven information for predictive sale but also using it as a decision making strategy to position itself among its competition. The data ecosystem is growing with a fast pace and will grow manifold in the near future resulting into the data explosion. With this, brands use the data for better outcomes if used strategically through predictive analytics which helps to understand the business insights. Using the predictive analytics at business helps to stay ahead in this competitive era where this tool can gauge the competition pattern around which is useful for the strategic decision making prowess at the work place

  • Track 1

    14:30 – 15:00

    We are now at the start of a significant change in how technology will be applied to Institutional Investing. So far all the innovation had been focused on structured data, pricing, and execution. Most of these calculations were performed using traditional database technologies and statistics. Technology has progressed enough across other industries to be able to deal with huge variety, velocity and volume of data in a cheap and efficient way. We are at the cusp of an exponential change now.

    Track 2

    14:30 – 15:00

    The recent expansion of the TOD model across the Asia Pacific Region, with particular focus on the use of analytical methodologies to predict how pedestrians flow between Public Transport and Retail environments. This presentation will focus on artificial intelligence and human centred design tool in the context of public transport. Combining architectural, planning and engineering design, and further advanced by the application of digital technology, Jason will discuss how the interaction of people with the infrastructure will be changed. The integrated and technology driven approach enables us to focus on customer experience, the impact in station planning of ‘invisible’ fare collection, and need to future-proof our transit hubs against social change.

  • 15:00 – 15:30

    PM Coffee Break

  • Track 1

    15:30 – 16:00

    Presentation Title to be Confirmed

    Track 2

    15:30 – 16:00

    by
    CIO, Lazada Group
    CIO & Senior Director, Asia Pacific, PepsiCo
    Associate Director, Data Science, MSD

  • 16:30 – 17:00

    End of Summit

What to expect

Speakers

Our agendas consist of global and regional leading experts, curating talks on the latest hot topics and allowing you to understand the key take-aways from any presentation.

Variety

An exclusive event that boasts various activities for in-depth learning, experience sharing and effective networking, including keynotes, presentations, panel discussions, workshops, and much more.

Exclusiveness

A strict vendor and industry ratio control to avoid sales pitches and focus on real learnings and the exchange of relevant and effective knowledge.

Networking

A cross-industry mix of speakers and attendees to learn, network and collaborate through various interactive social sessions, including social breaks, buffet lunches, cocktail reception and Executive Dinner.

The Venue

This year's summit will be held at the spectacular Marina Bay Sands, filled with architectural wonder in the heart of thriving Singapore.

Forward Leading has negotiated a special room rate of SGD 350 / Night for you to stay at Singapore's landmark 5-star hotel and enjoy the Infinity Pool along your stay. Materialising the spectacular group discount is simply one click below.

Book your stay

Sponsors and Media Partners

We’re always looking for go-ahead, fascinating sponsors to align with our global leadership Summits which are packed full of senior connectivity potential. Our delegates are very select so we limit the number of sponsors for each of our Summits but if your values connect with ours, please reach out to Allan. We’d love to welcome you to our tribe!


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Tickets and Price

This is your opportunity to be part of Singapore’s foremost Big Data and AI Leaders Summit – to connect with global tech leaders, to learn new strategies that’ll gain big results and to maintain your data leadership professionalism.

Because this is an exclusive event, tickets are limited. Reserve your place today. We’re looking forward to welcoming you.

Don't just take our word for it

  • The speaker lineup was excellent - there were a lot of people from a lot of diverse backgrounds.  There’s lots of great questions and friendly people, interesting talks on both very practical products and more forward-looking topics

    Jerry Talton, Slack, Boston

  • It’s amazing - the speakers are all doing a great job, I’ve listened to many talks on very diverse topics. The audience contributed great insights, are very engaged, the discussions are very insightful, and I’ve learnt a lot myself.

    Jen Wang, WayFair, Boston

  • I’ve enjoyed it tremendously - good presentations and lots of good questions by an active audience, the room and schedule is full. The speaker quality been excellent and the participation from the audience in terms of quality of questions has been very very good

    Martin Ciupa, calvIO, Boston

It’s easy to get onboard and start benefitting instantly. Either enrol at a Summit or sign up for an annual membership.