SINGAPORE
HONG KONG

DataScience&AITrends Asia Summit

The Roadmap for Data-Centric AI

 

DATE
15 August 2024
LOCATION
Singapore
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DataScience&AITrends Asia Summit

Data and AI are front and center in optimizing business decisions and driving the next wave of enterprise growth. While investment into AI is accelerating in the race to realize new capabilities and use cases, potential risks and regulations are also emerging.

As Data and AI leaders embark on the multi-year journey to realize business outcomes from AI initiatives, they are shifting to more focused and strategic approaches. Having a robust foundation in data and analytics, adequate infrastructure, and efficient governance are keys to progressing from experimentation to achieving meaningful ROI.

The second annual DataScience&AITrends Asia Summit aims to provide a platform for data, AI, digital, and IT leaders to explore challenges and opportunities to implement data-centric AI. The Summit, which will feature a blend of insightful presentations and panel discussions, aims to solve the business problems of data and AI while exploring the latest tech stacks that accelerate the unlocking of data value.

This Summit is for all professionals involved in digital, data, cybersecurity, transformation, and IT, including:

  • Chief Data Officers

  • Chief Analytic Officers

  • Chief AI Officers

  • Chief Digital Officers

  • Chief Information Officers

  • Chief Technology Officers

  • Chief Transformation Officers

  • Chief Innovation Officers

  • Chief Customer Officers

  • Heads of AI

  • Heads of Data Science and Analytics

AGENDA

09:00
Welcome Remarks
09:10
Keynote: Accelerating AI – From Experimentation to ROI

The democratization of Generative AI has ignited a fervor around AI in enterprises. Yet to progress from experimentation to durable usage with widespread business impacts necessitates overcoming of challenges and demystifying against risks. A leading consultant will address the potentials and pitfalls of AI and how to accelerate their adoptions to drive real business growth.

09:40
Industry Insights: How Embedded AI Drives Advanced Analytics At Speed

Business landscape and customer behavior are evolving. To pivot seamlessly and make progress faster, you need to understand what your data indicates now. For out how you can drive better decisions that boost performance, productivity, and trust, at the speed that you need with AI-embedded analytics.

10:00
Panel: Can GenAI Adoption be Localized?

Generative AI has been in the spotlight. Behind its vast potential, it has been plagued with security, privacy, and accuracy concerns. This panel will explore:

  • Early enterprise use cases of GenAI: the low hanging fruits
  • Ensuring trust and reliability of GenAI
  • Localizing GenAI with proprietary first-party data
  • CAIO role change: considerations for AI solutions as AI developers vs AI users of open source and SaaS solutions

10:40
Industry Insights: Rethinking Infrastructure Needs in a Generative AI World

Facilitating the next generation of AI requires massive computing power and cost-effective data storage. Stringent data privacy requirements also increase the needs of Edge AI. This session will explore the needs to rethink the IT infrastructure behind the data, to help CDOs unlock the potential of AI.

11:00
REFRESHMENT BREAK
11:30
Industry Insights: How Synthetized Data Helps Train AI Effectively

AI training requires massive data sets. To overcome data availability, readiness, and regulatory challenges, synthetic data can be an answer. Find out how synthetic data can be more accessible and flexible, while providing better privacy and higher utility than real data.

11:50
Panel: The Data-Centric Drive of AI

To produce robust, reusable AI systems, at scale and efficiently, enterprises are shifting from a model- and code-centric approach to being data-centric. This panel will discuss:

  • Synthetizing data to trained machine learning models effectively
  • Solving data accessibility, volume, and quality challenges
  • Overcoming the complexity of producing and maintaining robust AIs
  • Producing scalable, multi-objective, and practical AI
  • Realigning IT infrastructure to enable data-centric AI

12:30
NETWORKING LUNCH & INVITE-ONLY ROUNDTABLES

2023 SPEAKERS

SPEAKERS

speaker
Laurence Liew
Director, AI Innovation
AI Singapore
speaker
Winston Thomas
Editor-in-Chief
CDOTrends
speaker
Paul Mah
Editor
DSAITrends
speaker
Caitlin Nguyen
Non-executive Director and Board Member
Digital Transformation
speaker
Khalid Nizami
Regional Leader - Enterprise Technology Solutions
Ecolab
speaker
Kitman Cheung
Chief Technology Officer - Data & AI
IBM Asia Pacific
speaker
Jin Xin
Head of Data Science and Analytics, Alexandra Hospital
NUHS
speaker
Dr. Deb Goswami
Big Data & Structured AI Technologist for Developer Programs, Asia Pacific South
NVIDIA
speaker
Gaurav Kumar
Director, AI Products (CX)
Rakuten
speaker
Dr. Sean Lam
Head of Data Science, Health Services Research
SingHealth
speaker
Atlas Lim
CX Practice Lead, APAC
Valtech
speaker
Nitin Acharekar
Vice-President
twimbit

PAST SERIES SPONSORS

Executive Luncheon Sponsor

Strategic Partner

Supporting Partners

Venue
Singapore

Delegate Inquiries

[email protected]

 

Speaking opportunities

Daniel Chan

[email protected]

Sponsorship opportunities

Jonathan Bigelow

[email protected]

 

Sponsorship opportunities

Shubha Ukil

[email protected]

 

Isabella Fung

[email protected]

speaker
Winston Thomas
Editor-in-Chief
CDOTrends

Winston brings over 20 years of journalistic experience to CDOTrends.com. As the previous editor at Computerworld Hong Kong, CIO Asia and PCWeek Asia, he followed, edited and wrote how the Internet and the rise of the digital economy impacted businesses across various industries. Most recently, Winston served as N. Asia editor of CMOInnovation. As the Editor-in-Chief of CDOTrends.com, he is bringing together intriguing articles, insights from leading thinkers, in-depth lessons from practitioners, and various thought leadership materials to develop a new resource for CDOs and other digital practitioners. Fascinated by new technology trends, he is constantly looking at how digital is reshaping our future lives.

Besides his communication skills, he is well-versed in building conference and marketing programmes externally and internally. Recently, he produced Total Security Conference 2016, Big Data and Business Analytics Forum 2016 and Future Workplace Forum 2016. Previously, he also launched CIO Asia Awards and helped to create the Computerworld Hong Kong Readers’ Choice Awards (today Computerworld Hong Kong Awards under Questex Asia).

As a copywriter, Winston has contributed to South China Morning Post (for finance and IT sections), Asia Week and IT Malaysia. He has also contributed technology-based articles for inflight magazines, including Cathay Pacific’s The Club and Gulf Air magazine, and recently to Benchmark Magazine.

Previous to his career in the media industry, he was a commodities broker and an abattoir manager in Singapore. He currently holds a B Sc. (Biology) with Merit, loves playing the piano and running marathon events.

speaker
Paul Mah
Editor
DSAITrends
speaker
Khalid Nizami
Regional Leader - Enterprise Technology Solutions
Ecolab
speaker
Kitman Cheung
Chief Technology Officer - Data & AI
IBM Asia Pacific

Kitman Cheung is the Analytics CTO for IBM Asia Pacific. During career with IBM, Kitman had focused on Data and AI related technologies, and has served in many technical roles within development, product management, partner ecosystem and technical pre-sales organizations. In his various roles, Kitman had the opportunity to be granted a U.S. Patent for database index optimization and to co-author a book on Db2. In his current role, his responsibilities include working with key IBM customers in different industry sectors to transform their information architecture and become an AI-infused enterprise.

speaker
Dr. Sean Lam
Head of Data Science, Health Services Research
SingHealth
speaker
Caitlin Nguyen
Non-executive Director and Board Member
Digital Transformation

Caitlin’s experience centers on solving business problems leveraging digital and transforming B2C and B2B organizations to deliver higher value commercial outcomes. Caitlin is currently a Board Member and leads digital strategy and growth for customer centric businesses. Her expertise is in driving digital transformation and innovation with a focus on the multichannel and connected customer experience, in partnership with enterprise platforms as well as open ecosystem startup tech. Throughout her career, Caitlin has worked with businesses such as Philips, Sanofi, Fonterra, MasterCard, GSK, and Levi Strauss to deliver integrated marketing and sales strategy, CRM, connected commerce, and digital capability enablement.

speaker
Jin Xin
Head of Data Science and Analytics, Alexandra Hospital
NUHS

Jin Xin joined Alexandra Hospital in 2018 as the Head of Data Science and Analytics, currently he is leading the transformation of hospital services by democratizing AI and data analytics to improve patient care and productivity. He is also responsible for the new hospital redevelopment planning, future manpower planning, hospital regulatory reporting, as well as the institution data governance. Before joining Alexandra Hospital, Jin Xin worked at National University Hospital, an Academic Medical Centre in Singapore where he ran the roles in healthcare analytics, planning, as well as operations. Prior to this, Jin Xin was at Republic Polytechnic Singapore teaching Operating research and analytics courses, and he had previously held technology and innovation roles at Eastman Kodak Company, Hewlett Packard Singapore and Nanyang Technological University.

speaker
Laurence Liew
Director, AI Innovation
AI Singapore

Laurence Liew is the Director for AI Innovation at AI Singapore. He is driving the adoption of AI by the Singapore ecosystem through the 100 Experiments, AI Apprenticeship Programmes and the Generational AI Talent Development initiative.

A visionary and serial technopreneur, Laurence:

  • was appointed the first RED HAT partner and authorised training centre in the Asia Pacific in 1999
  • built A-STAR’s IHPC first High-Performance Computing (HPC) cluster in 2001 (initial HPC clusters in NUS, NTU, and SMU were mostly built by Laurence and his team)
  • built and operated Singapore’s first Grid (pre-cloud) platform for IDA’s National Grid Pilot Platform in 2003
  • architected the Cloud business and technology for then Singapore Computer Systems’ Alatum Cloud (now owned by Singtel/NCS) in 2007
  • led Platform Computing Inc business in South Asia and R&D team in Singapore; IBM acquired Platform Computing in 2009
  • led Revolution Analytics Inc business in Asia and R&D team in Singapore. Microsoft acquired Revolution Analytics in 2015
  • joined AI Singapore in June 2017 as the first employee

The Singapore government has appointed Laurence to represent Singapore at the Global Partnership in AI (GPAI), an OECD initiative. He is the current Co-Chair of the Innovations and Commercialisation working group and Co-Chair of the "Broad Adoption of AI by SME" committee.

Laurence graduated from the National University of Singapore (NUS) with a First Class Honours in Engineering and a Master in Knowledge Engineering.

speaker
Gaurav Kumar
Director, AI Products (CX)
Rakuten
speaker
Dr. Deb Goswami
Big Data & Structured AI Technologist for Developer Programs, Asia Pacific South
NVIDIA

Dr. Deb Goswami is currently responsible for growing NVIDIA’s Accelerated Data Science and Machine Learning developer practice in the Asia Pacific South and ANZ Regions. With over a decade of expertise in scaling and enabling enterprise AI in the region, Dr. Deb is passionate about supporting the developer ecosystem in their AI journey.

Prior to joining NVIDIA, Dr. Deb worked on challenging AI problems across a variety of verticals in the APAC region, including Media (SPH, Head of Data), eCommerce (Traveloka, Head of AI), AdTech (Dentsu Aegis Network, Data Scientist) and Telco/Oil & Gas (Reliance Industries, Data Scientist).

Dr. Goswami read his PhD in Face Recognition from the University of Surrey, where he also studied for his BEng (Hons) in Electronic Engineering.

speaker
Nitin Acharekar
Vice-President
twimbit

Nitin is leading the Digital Transformation practice in Twimbit with a special emphasis on Artificial Intelligence and Security. Prior to Twimbit, he has multi-faceted experience of over 25 years in the IT industry with Cisco Systems, Dell Technologies, Pluribus Networks, and Frost & Sullivan.

He is currently involved in

  • Developing a community of CXO Thought leaders in Technology especially AI & Security
  • Developing a “capability maturity model” for enterprises, with a specific emphasis on AI & Security.

Nitin enjoys exchanging market & technology insights with C-level executives as well as operational managers. He is particularly passionate about understanding the impact of technology not only on IT/Security Operations as well as the value chain of the company/industry.

Nitin is based in Singapore and has handled responsibilities for the Asia Pacific as well as ASEAN regional level. Having worked with several technology companies, he understands the complex GTM dynamics from strategy creation to execution in the Asia Pacific region.

speaker
Atlas Lim
CX Practice Lead, APAC
Valtech

Atlas leads the Connect Experience Practice at Valtech, APAC, creating meaningful experiences over the last 20+ years in the digital space across the region for clients in Singapore, Hongkong, Malaysia, Thailand, Indonesia, Philippines and Japan- including Unilever, Telkomsel, Globe Telecom, FWD Insurance, All Nipon Airways, IQOS, Bangkok Bank and Asia Pacific Breweries.

Obsessed with adopting a data-driven way to strip away the human biases to solve the what, the design philosophy Atlas adopt includes using empathy to understand the why – practicing lean design thinking that accelerates product development with a customer business-balance, creating products with delightful digital and physical experiences and value exchange for both the end-user and brand.

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Red Hat is the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. Red Hat delivers hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.

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$2,000.00 2021-09-10T08:30:00+08:00 In stock