DATA STRATEGIES FOR DATA AND AI-DRIVEN ORGANISATIONS

Data2030 Summit 2022

APAC Edition

24th – 26th May | Online Event

About the Summit

Data 2030 Summit is an annual strategy event gathering the Data Management community in one place and platform to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy and platform for the new decade.

For the past six years, Data 2030 Summit has served as a remarkable knowledge-sharing and networking platform for data practitioners in the Nordics, Europe and Middle East.

This second annual  2022 online edition of the event goes beyond these regions and extends its reach to the APAC Region as well.

With 40+ international speakers presenting across two days, panel discussions and plenty of other learning and networking activities, the 2022 online APAC edition of the summit is the place to be for all CDOs and data practitioners working with Information Management, Data Governance, Master Data Management, Data Quality, Enterprise Architecture and DataOps.

On stage, we are bringing some of the most forward-thinking Data Management practitioners of different positions and responsibilities in the department, from both the private and public sector in the Asia and Pacific region, covering not only the most business critical Data Management challenges but as well the latest methodologies, strategies and tools used by organizations to address those challenges. The program is divided in two days, each day having three stages and focusing on a specific topic.

Plenum

Practical, Inspirational, ground-breaking presentations setting the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come. The Keynotes are in duration of 30 minutes and held in English.

Data Strategy &
Data Governance

A strategy and technical stage focusing on ways to create an agile and modern data strategy and sustainable Governance for enterprise grade integration of Advanced Analytics and AI, from ownership to implementation. Presentations are held in English and in duration of 30 minutes.

Master Data Management
& Data Quality

Strategy and technical stage focusing on developing disruptive and multi-domain MDM models, Data Strategy as a strategic and revenue-generating process, and finally how to utilise data catalogs to improve data quality and regulatory compliance. Presentations are held in English and in duration of 30 minutes.

Enteprise & Cloud
Architecture

Strategy and technical stage focusing on how organizations can create a modern data platform, manage applications, assets and resources across traditional and multi-cloud environments in ways that deliver visibility, automation and governance.  The presentations are held in English and in duration of 30 minutes.

Summit Features

Limited

Same as on the European and Middle East Edition, to maintain the networking and knowledge-sharing experience, the summit is limited to a maximum of 200 participants. Speakers and exhibitors are carefully prequalified and selected to match the current regional market challenges, and provide outstanding content and insights relevant to the
participants attending. The event has been sold out way in advance, in every one of the the past 5 editions.

Plenum

The keynote presentations are the pillars of the entire conference and the most memorable presentations of the event. As opening plenary talks, they set the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come.
This year’s keynote list includes visionaries and leading expert names in Data Management.

Pre-Event Mastery Workshops

To provide a deeper insight into specific topics, on request by our delegates, we will start the event with four 150 minutes hands-on online workshops limited to maximum of 30 participants. There are two workshops running in parallel in the morning and two in the afternoon. The places are on firstcome first-served basis and require pre-booking.
Once the room capacity is reached, a waiting list will be open. The workshop will be announced and made available on 1st of March.

Two Conference Days with Three stages

On this edition, during the two main conference days, delegates will have the opportunity to choose between three super insightful and interactive tracks focusing on Data Strategy and Data Governance, Master Data Management and Data Quality and finally Enterprise and Cloud Architecture. All sessions are 30 minutes and held in English.

Interactive Panels

Spread over the two conference days, the delegates will have the opportunity to take part of several interactive panels composed by practitioners and experts. The panels will cover several important topics covering everything from strategy to people, processes, and technology. The panellists invited are experts and practitioners in the area representing companies in the APAC region and beyond. All panels are in duration of 40 minutes and in English.

Virtual Exhibitors Stands/ Pages

Delegates attending the summit have the opportunity to visit virtual Exhibition Pages. Same as onsite format, the purpose of the exhibitor
pages is for the delegates to get acquainted with the exhibitors, their products and services as well the sessions they are involved in during the event. In the virtual program, the delegate will be able to find Meet the exhibitors feature listed in the Agenda schedule and click on it to come to the Meet the exhibitor session page.

Technology in Practice (TIP) Sessions

At this year’s summit 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 on the APAC market. To make it more transparent and relevant for you, the demos presented during the summit will be listed as sessions in the agenda and on the event webpage.

Need-to-know and Up-to-date Topics

The agenda is carefully designed to match the delegate community challenges and needs. Based on the last year’s feedback and our pre-event research, we have constructed the agenda that emulates the current market maturity, current project objectives, as well the aspiration for future technology insight.

2022 Agenda Structure

3 Days of Workshops, Keynotes, Talks, Panels

delivered by the best in the field of Data Management

The Data 2030 Summit is envisioned as a learning and benchmarking event with workshops, case studies and interactive panels  placed in the center of the program to ensure maximum knowledge-sharing impact and that everyone’s voice is heard. The 2022 edition is structured as a two-day online program with additional pre-event networking day.

Explore the agenda and build your own schedule based on topics and sessions you would like to attend across all stages and crash-course workshop rooms.

Request, download and explore

Find out everything about the Summit – delivered in one simple PDF Agenda.

Meet the speakers – 2022

Yannick Even

Group Data Services – Business Partner Advanced Analytics CoE
Swiss Re | Hong Kong

Monica Srinivasan

Head, Data Governance, Compliance & Financial Crime
Standard Chartered Bank | Singapore

Bhavika Unnadkat

Head of Data Governance and Knowledge Management
Energy Australia | Australia

Kumar.B

Regional IT Manager – ASEAN
Kimberly Clark | Malaysia

Speakers from the previous

Hiroki Habuka

Deputy Director for Global Digital Governance
Japan’s Ministry of Economy, Trade and Industry (METI) | Japan

Vinay Simha

Senior Enterprise Architect
Philips | India

Martin Treder

Head of MDM Business Partner
Boehringer Ingelheim | Germany

Sushma Rai

Director of Product Management
Amagi Corporation | India

Taranpreet Singh Grover

Solution Architect
Daimler Trucks Asia | Japan

Vijay Balakrishnan

Group Chief Data Officer
Michelin | India

Avisekh Biswas

Head of Data Enablement & Governance, Asia Data Office
Manulife | Hong Kong

Jairo Suarez Carrillo

Data Management Engineer
Otago University | New Zealand

Harjot Singh

Chief Data Officer
RAC WA | Australia

Lakshmi Venkatesh

Head of Platform and Cloud Engineering
Standard Chartered Bank | Singapore

Singanallur Venkataramanan Ramakrishnan

Head Master Data Management
Novartis Healthcare Pvt Ltd. | India

Faisal Hajazi

Global Head of Cloud Platform Architecture & Strategy
British American Tobacco | Malaysia

Ankush Gadi

Director-Data Management & Analytics
CRISIL Limited | India

Jacky Cheong

Head of Enterprise Data Governance
Celcom Axiata Berhad | Malaysia

Monika Kapoor

Head of Data Quality & Governance
Philips Healthcare | India

John G. Bibal II

Director, Data Engineering
Globe Telecom | Philippines

Usri Roy Chaudhury

Regional Senior Data Lead
HSBC Bank Ltd | Hong Kong

Prakash Jagannathan

Vice President, Data Management & Insights
Wells Fargo International | India

Saurabh Gupta

Co-Founder
CODEX | India

Vonkayala Venkata Giri

Group Chief Data Officer
Kfin Technologies| India

Abhishek Pratap Singh

SVP Engineering, Engineering Lead Enterprise Data Security,Big Data & Cloud at DBS Bank
DBS Bank Ltd| Singapore

Ramesh Rethnasiromoni

Sr. Director – Data Governance
GE Gas Power | India

Anand Ramamoorthy

Head of Data Governance and Data Privacy, APAC & Japan
Informatica | Australia

Dr. Chris Marshall

Associate Vice President for the Analytics, Big Data and Artificial Intelligence practice
IDC Asia Pacific | Hong Kong

Shouvik Nandy

Senior Manager, Data Office
NTUC Income | Singapore

Dan Everett

Vice President of Product and Solution Marketing
Informatica | USA

Christian Rasmussen

Head of Technology, Innovation Lab 2
Grundfos Holding | Denmark

Kim T. Christensen

Senior Vice President SE Asia & Pacific
Stibo Systems Pty Limited | Australia

Meri Rosich

Chief Data Officer, CCIB
Standard Chartered Bank| Singapore

Vimal Kumar

Executive Director, Data Analytics, Transformation & Reconciliation
J.P.Morgan Chase| India

Dr Anuradha Bhatia

Director, Associate Dean
Standard Chartered Bank | India

Henrik Göthberg

Founder, Interim Manager Head of Insights & Data back-bone
DAIRDUX, Scania Financial Services | Sweden

Rajib Bhattacharya

Director, Global Data & Analytics Leader – Procurement
Cargill | India

Data‎ ‎‎‎‎‎‎reading hub

Data governance foundation to enable proper data use: Interview with Ole Busk Poulsen
What I’ve learnt from cloudifying Electrolux: Interview with Kaveh Djavaherian

The first tenet for successful cloud implementation is respecting the organization’s history, culture, way of working and people. Of course, robust cloud architecture that offers uninterrupted access to data and applications is a must, but your efforts will be in vain if you don’t have the support of the right people and network of allies. These are some of the crucial learnings Kaveh Djavaherian, Head of Global Cloud & Hosting at Electrolux, underlined from his ample experience with executing cloud strategies and infrastructure management. Kaveh Djavaherian revealed his valuable insights gained through leading cloud implementation in Electrolux and other organizations. More to come during his Data 2030 Summit presentation in February.

Data 2030 Summit DataOps talks you can’t miss
What is Data Mesh? And should you mesh it up too?


Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021.

But what exactly is Data Mesh and why more and more companies are looking to implement the latest trend in the data industry?

In the age of data as a first-class citizen, every enterprise strives to be data-driven, pouring hefty investments into data platforms and enablers. However, the ever-growing data demands are no match for the traditional data warehouse or data lake with limited real-time streaming capabilities.



Data and analytics maturity in the energy industry: Interview with Mikko Muurinen
Data management trends that experts forecast for 2021 and beyond

The past tumultuous year saw many organisations caught up in a cloud frenzy, heavily investing in data lakes and data warehouses to get the most out of their precious data in a more flexible, scalable and efficient way. But despite the investments, we saw the data management was still a big challenge for companies in 2020. The majority of them still struggled with legacy systems, lack of domain-specific skills, lack of clearly defined data governance policies and poor data quality, preventing them from thriving in their data and AI innovations. It was clear that the new circumstances required enterprises to review their data management strategies and design platforms to support their AI-driven ambitions.



Why roundtable events give you more bang for your buck
Ingrain fact-based decision making into your company DNA: Interview with Laila Kakar

Data-driven or fact-based decisions have a great many possibilities and benefits to transform the business. But the most important step is to turn the insights into actions, because facts without action demonstrate the mechanism of memory, but not that of understanding, explains Laila Kakar, Senior Manager at MTN (GSSC).
We’ll hear Laila Kakar at the Data 2030 Summit in her session on How to measure the unmeasurable – translating SMART data into insights, where she’ll tell you more about how to start making fact-based decisions and how machine learning can support you in your decisions. 






Partners – 2022

Event Partners


Media Partners

Partners from the previous

Co-Host Partner

Partner


Media Partners

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Pictures from the previous

APAC Data2030 Summit 2021 Online Edition made possible by

Agorify

Agorify is a self-service platform for building engaging online and onsite event applications. Through Agorify, delegates will be able to set up their profiles, browse through the schedule, build their own agenda, view live or on-demand presentations, comment, ask questions, vote for favourite questions, take notes, join or create chat discussions, join virtual roundtables, connect with other attendees, schedule meetings, share contacts and much more.