About

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.

The Big Data & AI Leaders Summit offers you the opportunity to:

  • Truly discover the trends and future of data technologies from a global view
  • Deeply understand Machine Learning that is transforming the data world NOW
  • Identify new opportunities to improve data technologies and analytics platforms for your business
  • Expand your network with thinkers, doers and leaders

Our Big Data & AI Leaders Summits have always been popular for good reason – but this will be the best yet!


Summit Topics Include:

  • Data intensive engineering
  • Machine Learning's three big challenges and Sentic Computing
  • AI builds up resilience, security and sustainability of an advanced data system
  • Improve Equipment Reliability with Machine Learning
  • Real World Applications of Machine Intelligence

And much more...


What You’ll Gain:

MAINTAIN a reputation as a leader in big data, machine learning and artificial intelligence

LEARN the new skills, techniques and tools you’ll need for business growth

CREATE & DEVELOP your data and machine intelligence strategy

ENHANCE your professional network, with opportunities to network and collaborate with technology leaders and fellow senior executives

STRENGTHEN your professional development and gain certificate for professional excellence


Speakers

We’ve hand-picked our Big Data & AI Leaders Summit speakers for their expertise, experience and influence in data, machine learning and AI technology and strategy and they all have important, impactful things to say. We know that you’ll get a lot out of them.

The summit will gather the most influential, knowledgeable and innovative AI and ML leaders across the globe. But they also must have that “special something”; it could be 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.

But we don’t know everybody. If you’re a maverick or an imagineer in the business intelligence landscape, with proven, exciting results, please do consider becoming a Forward Leading speaker. Get in touch. We’d love to find out more about you. Reach out to Pearl Cheng today!


Confirmed Speakers include:

What to expect

Speakers Title

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.

Agenda

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

In addition to the main session, this year we will specially organise a side track led by true AI and Machine Intelligence scientists for a genuinely deep and technical sharing. Speakers we have confirmed now including scientists from the "AI'10 to Watch' for 2018.

Please check back for the full agenda, which will be released soon.

  • 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

    Mohammad is a Data Scientist at Apple and Lecturer at Stanford University. Prior to joining Apple, he worked for Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data.’ He has also been a keynote speaker at more than 20 Data Summits/Conferences around the globe.

  • 10:00 – 10:30

    by Director of Research Engineering, The Alan Turing Institute

    Dr James Hetherington, Director of Research Engineering at the Alan Turing Institute, will talk about how the Research Engineering department at the Turing, the UK’s national institute for data science and artificial intelligence, helps to turn cutting edge research into real world impact.

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    by CIO & Senior Director, Asia Pacific, PepsiCo

  • 11:30 – 12:00

    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.

  • 12:00 – 12:30

    by Team Lead, Data Analytics and Optimisation, Rolls-Royce Singapore

  • 13:00 – 14:00

    Lunch

  • 14:00 – 14:45

    by Director of Research Engineering, The Alan Turing Institute

    Dr James Hetherington, Director of Research Engineering at the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence, will lead an open discussion on standards and models for processing sensitive data at scale, introducing experiences from collaborations with Microsoft Research and the Edinburgh Parallel Computing Centre.

  • 14:45 – 15:30

    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.

  • 15:30 – 16:00

    PM Coffee Break

  • 16:00 – 16:30

    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.

  • 16:30 – 17:00

    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.

  • 17:00 – 19:00

    Networking Drinks

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • 09:00 – 09:30

    by Manager, Data Engineering, Netflix

  • 09:30 – 10:00

    by CDO, VP & Head of Data Science, Visa

    As Head of Data Science Asia Pacific, Dr. Rosich is leading a team data scientists, data analysts and statisticians and coaching them to continue to drive business transformation with advanced data solutions and develop a culture of learning that accelerates change.

    She will share that overriding AI and machine learning trends is not just about technology advancement, but team culture, data strategy and a lot more.

  • 10:00 – 10:30

    by Senior Data Scientist, Cybernetics, BHP Billiton

    Rachna's team are doing a lot of work on Reliability Equipment Failure in machine learning space and Digital Twin. She will share what they have been doing in the ML space at BHP Billiton.

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    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.

  • 11:30 – 12:00

    by VP, Global Commercial & Merchant Data Science, American Express

    Given the huge volumes of data available (both structured and un-structured) for American Express Card Members, American Express has adopted Machine Learning in all its CORE business processes of Credit and Fraud Risk Management, Marketing Analytics and Operation. Work entailed building in-house data warehouses with right level of privacy controls and then using state of art machine learning algorithms from Open Sources to solve unique business problems across the various businesses. Adoption of Machine Learning has ensured building of Robust Economic Models leveraging the best possible information delivering the highest predictive power. Also the models are updated with the highest frequency ensuring the models incorporate the most fresh information. This has led to significant improvement in the controls for Fraud Risk and also improved the Targeting of the Appropriate segments with far higher accuracy in Marketing.

    As a part of the presentation, I will take through 3-4 actual use cases of CORE American Express processes and how Machine Learning is completely changed the game.

    Discussion will also include what are the new areas where the company is thinking of doing research and bringing the best value for its Card Members.

  • 12:00 – 13:00

    by
    CIO, Lazada Group
    CIO & Senior Director, Asia Pacific, PepsiCo
    CDO & Head of Data Science, Asia Pacific, Visa

  • 13:00 – 14:00

    Lunch

  • 14:00 – 14:30

    by AI Research Quant, BNP Paribas

  • 14:30 – 15:00

    by Head of Deep Learning, Ensemble Capital

  • 15:00 – 15:30

    PM Coffee Break

  • 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.

  • 16:00 – 17:00

    What does AI mean for the finance industry? What is the implication of machine learning technologies for insurance, banking and capital management? While all the major financial institutions are transforming and preparing themselves for the age of AI, what could be the overlooked or hyped about?

    We will bring together AI, data and innovative technology leaders who are working on the front line of banking, insurance and financing to have a detail-to-full and superficial-to-profound discussion.

  • 17:00 – 18:00

    End of Summit

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.

To book your stay simply contacting the MBS Reservation Department either via email: group@marinabaysands.com or directly at telephone number: 65 6688 8889 prior to 10th August, 2018 and identifying yourself as attendees of the Forward Leading events.

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 Thomas. We’d love to welcome you to our tribe!


Exhibitor

Media Partner

News Release Distribution Partner

Become a sponsor

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