12th January 2023 | Singapore
Data
Innovation
Summit
APAC
What’s this event all about?
Welcome! The Data Innovation Summit is the largest and the most influential annual Data and AI event represented in three regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI driven Transformation throughout companies, industries and public organisations.
The Data Innovation Summit APAC is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is built to be both business and technical, practical and inspirational, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It is showcasing some of the best data driven innovative projects, products, business ideas and technologies, presented by some of the most advanced and innovative organisations in the world.
Towards Human-Centered Data & AI Innovation
m1 stage
Applied Data Innovation Stage
The sessions are both business and technical, presenting a clear business output of data science, analytics, ML and AI to enhance customer experience, improve business process, reinvent business models and create new ones. Presentations are held in English and in duration of total 30 minute. For better time management we have added 10 min changing break between sessions.
m2 stage
Data Science & ML Stage
Technical presentations on deploying Machine Learning, Natural Language Processing, GAN, Speech and Vision intelligence techniques into practice and in production. Presentations are held in English and in duration of 30 minutes. For better time management we have added 10 min changing break between sessions.
m3 stage
Data Management & Engineering Stage
Technical track focusing on agile approaches to leveraging data as an enterprise asset and ways of collecting and distributing quality data to support a wide range of tools and frameworks in production, while protecting privacy, usage restrictions and data integrity. Focus on Cloud Data Management, Data Governance, Infrastructure as a code, Data-Ops, Fast Data, Data Quality, and much more. Presentations are held in English and in duration of 30 minutes. For better time management we have added 10 min changing break between sessions.
Interactive
Panels
This year’s panels are going to focus on ways to maximise the ROI of advanced analytics initiatives by moving from the “wall of POC” and experimentation to industrialisation. Human Centered Data and AI Innovation and Ethics are two additional topics that will be covered on the panels. The duration of the panel is 45 minutes. The panelists are coming from both the public and private sector, academia, as well as technology providers.
Networking
Program
Over and over again delegates are asking for more networking time. On this edition we are introducing new features that will increase the opportunity for you to meet and network with the delegates. We will start the conference with a 30 minute networking session and time to explore the venue setup. You will also have the opportunity to meet the exhibitors, find a coffee buddy, enjoy a networking cocktail with your peers and create new meaningful contacts.
The latest Demos in the Expo Area
As technology is a great part of the topic area, it is natural that demonstrations of the latest technology advancements in the area should be part of the event features. On this year’s edition we are bringing some of the leading technology and service providers in the area, some of them presenting their tools and services for the first time in the APAC region.
Need-to-know and Up-to-date Topics
The agenda is carefully designed to match the delegate community challenges and needs. Based on our global and regional pre-event research, we have constructed the agenda that emulates the current market maturity, current project objectives, as well as the aspiration for future technology insight.
Who should attend?
If you are working with the following topics and you are interested in learning how to accelerate data and AI-Innovation in your organisation then visiting Data Innovation Summit will offer you an insight into innovative solutions and radical ideas that are already proven to provide ROI in other innovative organisations.
If you are working with the following disciplines, then this is the must-attend event:
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Our 2023 Speakers
Sutowo Wong
Director, Data Analytics
MOH Singapore | Singapore
Robert Luciani
Executive Advisor
The AI Framework | Sweden
Henrik Göthberg
Founder and CEO
Dairdux Consortium | Sweden
Meri Rosich
Chief Data Officer, CCIB
Standard Chartered Bank | Singapore
Michael Andrew
Head of Data Analytics
Zuellig Pharma | Singapore
Ankur Verma
Senior Data Scientist
Amazon India | India
Seah Boon Keong (PhD)
D&A – Head of Data Science Platform Digital Business Solutions
BAT | Malaysia
Goon Yar Jun Caroline
Senior Data Scientist
Manulife | Singapore
Ram Thilak Prem Kumar
Chief Data Scientist & Global Head of Data Science
Inchcape Plc | Singapore
Shilpa Sindhe
Data Science Lead Instructor
General Assembly | Singapore
Guan Wang
Senior Data Scientist
Munich Re | Singapore
Dr. David Duan
Head of Data
GoTo Financial | Singapore
Meenakshisundaram Palaniappan (MSP)
Data Product Manager,
Data & Analytics
MSD | Singapore
John G. Bibal II
Director, Data Engineering
Globe Telecom | Philippines
Rajat Kumar
Principle Data Scientist
ST ENGINEERING | Singapore
Sreekanth Raghunath
Data Science Lead
Mann+Hummel | Singapore
Indah Mustikasari
Product Manager – Data, Growth, and Product Analytics
Zalora Group | Malaysia
Hendy Gunawan
Head, Data Governance
Maybank Indonesia | Indonesia
Seyan Thurairajah
Account Executive, ASEAN
Fivetran | Singapore
Prithuraj Singh
Head Of Data Science
Mindvalley | Malaysia
Umesh Ramakrishnan
Data Manager
Traveloka | Singapore
Colin Zhang
Head of Operations (Asia)
Billigence | Singapore
Iñigo Benavidez
Head, Data Science & AI
GCash | Philippines
Mico Comia
Lead Modeler for GScore Machine Learning Research Data Science & AI
GCash | Philippines
Paul Milinkovic
Regional Director, APAC
StreamSets | Australia
More Speakers To Follow…
Explore the 2023 Schedule
[M1+] Plenum
[M1]
Applied DataInnovation Stage
[M2]
Data Science &Machine Learning Stage
[M3]
Data Management &Engineering Stage
[M1+] Plenum
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