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

    Mohammad as the Senior Data Scientist at Apple and a Lecturer at Stanford University will be exploring 5 key points in his presentation:


    1. Why data science is so hot?!
    2. Time series data is the new big data
    3. IoT: Living a better life
    4. AI takes a swat at Malaria
    5. A novel method to discover meaningful predictions

  • 10:00 – 10:30

    The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. As well as introducing the Institute and its research challenges, James Hetherington, the Turing’s Director of Research Engineering, will describe the role of the Research Engineering Group within the institute. Since 2012, James has been leading the development of the role of the “Research Software Engineer”, a new career path in academia now established in many universities and research institutes in the UK and elsewhere. Combining mathematical and computational expertise with a professional approach to software development, Research Software Engineers help to deliver impact from scholarly software.

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    Against a backdrop of the Fourth Industrial Revolution, Jackie will examine the growing value of data across different industries and how technology is at the forefront enabling strategic business growth. Four main themes will be explored:


    • Exponential technological advances
    • The importance of end-to-end Digital Value Chains
    • Strategy and data-driven business decision making
    • Setting organisations up for success

    How does your organisation view the emergence of technological opportunities in the Digital Era to drive disruption?

    What can you do to position your organisation and people for continued competitive advantage and future business success?

  • 11:30 – 12:00

    The Alteryx platform is revolutionising business through data science and analytics, enabling enterprises to experience the thrill of solving and shorten the distance from business problem to business solution. With Alteryx, business analysts and data scientists alike can discover, transform, model, and analyse data using a single governed, collaborative, and scalable enterprise analytic solution. It’s time to alter the way you feel about analytics!

  • 12:00 – 12:30

    Digitalization and AI are probably right at the top of every companies business agenda and much resources have been and will continue to be invested. We hear of new interesting AI breakthroughs and initiatives seemingly every other day! However any successful AI roll-out is much more than the technology itself. In this talk, I will share my thoughts on key ingredients to success.

  • 12:30 – 12:40

    We all run Hadoop data lakes, and we all have the problem of updating data and having Hadoop understand our JSON & XML data. That is precisely why BlobCity was created. In this unique presentation, get to hear from the creator of BlobCity DB on how it is shaping the way for our future data lakes. BlobCity DB is an open source multi-model database that happens to be a Gartner Cool Vendor 2016.

  • 12:40 – 14:00

    Lunch

  • Data Science and AI

    14:00 – 15:00

    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?

    ML and AI in Financial Industry

    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.

  • ML and AI in Financial Industry

    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

  • Data Science and AI

    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.

    ML and AI in Financial Industry

    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.

  • Data Science and AI

    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.

    ML and AI in Financial Industry

    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.

  • Data Science and AI

    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.

    ML and AI in Financial Industry

    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

    Grab is one of the most frequently used O2O mobile platforms in Southeast Asia, providing the everyday services that matter most to consumers – safe and affordable transport, food and package delivery, mobile payments and financial services. With data on over 6 million rides completed each day, Grab has deep insights on how cities across Southeast Asia move today.

    In this keynote, Xie Chao will unpack how Grab uses Data Science to improve the riding experience for passengers and drivers, and to identify ways to bring smarter transport and smoother traffic to cities across Southeast Asia.

  • 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 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.

  • 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

    Poor indoor air is a global problem, and not only at places with outdoor pollution. A poor indoor environment negatively impacts our productivity, and business leaders’ efforts in the war for talent. Combining IoT and Big Data technologies with deep expertise in air purification can create great solutions to achieve better indoor air. Physical indoor spaces could be managed like digital spaces, enabling us to Know, Improve and Manage for better air.

  • 12:00 – 12:30

    by Meri Rosich

  • 12:30 – 14:00

    Lunch

  • AI Start-ups in Singapore

    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。

    Data-driven Business Strategy

    14:00 – 14:30

    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.

  • AI Start-ups in Singapore

    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.

    Data-driven Business Strategy

    14:30 – 15:30

    Chaired by CIO, Global Markets & Treasury Technology BNP Paribas
    Panelists:
    CIO, Lazada Group
    Chief Scientific Advisor, Talenta

  • 15:00 – 15:30

    PM Coffee Break

  • AI Start-ups in Singapore

    15:30 – 16:00

    jumper is an AI-powered platform enabling brands to capitalize on social media posts to create engaging customer experiences and turn these into a point of sale, in an instant. It enables social commerce on all major social media platforms, blogs, ads, and the www.

    In this keynote, Nyha will be covering how brands can develop e-commerce capabilities and provide personalised checkout experiences across social media platform and influencer networks by using AI to instantly engage to customer intent and drive purchases directly in the customer's inbox.

  • AI Start-ups in Singapore

    16:00 – 16:30

    AI Singapore is a national programme in artificial intelligence (AI) set up to enhance Singapore’s AI capabilities to power our future digital economy. AI Singapore will bring together Singapore-based research institutions, start-ups and companies in order to grow the knowledge, tools, and talent crucial Singapore’s AI efforts. NRF is investing up to $150 million over five years in AI Singapore. In the talk, I will share more about our key programmes and initiatives, including Fundamental Research, Grand Challenges, 100 Experiments, and AI Apprenticeship.

  • AI Start-ups in Singapore

    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.