Conference Day One 26th July 2022
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08:50
Corinium's Welcome & Chair’s Opening Remarks
Speaking:
Vanessa Jalleh
Content Director, Corinium Global Intelligence
Melecio Valerio
Head of Data Governance, Group Technology, Maya Philippines
09:00
International Headliner: Harnessing the Power of Data to Drive Change in the NHS
Speaking:
Ming Tang
Chief Data and Analytics Officer (interim), NHS England
09:25
Keynote Leaders Panel Driving Data and Analytics Leadership in Singapore: Weathering Change and Influencing Growth & Innovation
- What should a leader’s outlook be in a post-Covid world?
- How to strengthen internal governance around the application of AI and the management and use of data?
- AI, how far is too far?
- Learning from mistakes; Can the collective intelligence provide transparency and open sharing?
- What does sustainable innovation look like?
Speaking:
Dr Geraldine Wong
Chief Data Officer, GXS
Durjoy Patranabish
Vice President – Head of Global Business, Tiger Analytics
Melecio Valerio
Head of Data Governance, Group Technology, Maya Philippines
Dr Bryan Tan
Chief Data Scientist, CARRO
Murari Mohan
Vice President, Head of Data Science, Nomura
Soumyajit Sarcar
Executive Director, Product Lead- Data Management and Information Insights, Nomura
Keynote Leaders Panel Driving Data and Analytics Leadership in Singapore: Weathering Change and Influencing Growth & Innovation
July 26 | 09:25 - 10:00
- What should a leader’s outlook be in a post-Covid world?
- How to strengthen internal governance around the application of AI and the management and use of data?
- AI, how far is too far?
- Learning from mistakes; Can the collective intelligence provide transparency and open sharing?
- What does sustainable innovation look like?
10:00
Scaling AI without crashing: Secure your AI Lifecycle and Scale Up at Speed
Many companies see the opportunity in AI to radically change the way they do business and speed up their digital transformation. Whether it’s to improve customer experience and reduce customer churn, accelerate innovation or optimise productivity of financial flows, or reduce costs through predictive analytics. After focusing resources on their AI practice, organisations are pushing their models out of the sandbox and serving them at scale so that they can start realising the ROI. However, it is not that simple and companies continue to face many challenges. Numerous government agencies and enterprise customers have deployed their models two to three years ago but have not retrained the models using the latest data since then. That’s not even counting the many models in sandboxes failing to go live in production. The question is therefore, how to secure your AI lifecycle and scale up at speed? Join this session to learn more about:
- What are the challenges & limitations with AI industrialisation?
- What are the ingredients to correct the flaws, secure your AI launch and scale the use of AI across the business?
- How to create resilient AI-driven assets to maximise impact?
Speaking:
Judy Nam
Principal Solutions Engineer Director, Dataiku
Scaling AI without crashing: Secure your AI Lifecycle and Scale Up at Speed
July 26 | 10:00 - 10:25
Many companies see the opportunity in AI to radically change the way they do business and speed up their digital transformation. Whether it’s to improve customer experience and reduce customer churn, accelerate innovation or optimise productivity of financial flows, or reduce costs through predictive analytics. After focusing resources on their AI practice, organisations are pushing their models out of the sandbox and serving them at scale so that they can start realising the ROI. However, it is not that simple and companies continue to face many challenges. Numerous government agencies and enterprise customers have deployed their models two to three years ago but have not retrained the models using the latest data since then. That’s not even counting the many models in sandboxes failing to go live in production. The question is therefore, how to secure your AI lifecycle and scale up at speed? Join this session to learn more about:
- What are the challenges & limitations with AI industrialisation?
- What are the ingredients to correct the flaws, secure your AI launch and scale the use of AI across the business?
- How to create resilient AI-driven assets to maximise impact?
10:25
Mid-Morning Coffee & Networking in the Exhibition Area
Mid-Morning Coffee & Networking in the Exhibition Area
July 26 | 10:25 - 10:55
Speaking:
10:55
Data-AI-ESG Nexus: Approaching Environmental, Social, and Governance Challenges through Data and AI
Speaking:
Dr David R Hardoon
Chief Data & Innovation Officer, Aboitiz Group and Managing Director, Aboitiz Data Innovation
11:20
Digital Transformation Success: 5 Things to Consider for a Cloud-Native Data Management Solution
Today, organisations are either building new cloud-native data warehouses or data lakes or modernising their existing on-prem systems in the cloud to accelerate their digital transformation journey. According to Gartner, by 2025, over 80% of organisations will use more than one cloud service provider (CSP) for their data and analytics use cases. But just moving the data to the cloud doesn’t solve their business or technical challenges. Data management is still a huge blocker for enterprises to get maximum ROI from their cloud-native data warehouse and data lake investments.
Hear from Informatica on the things to consider to embrace an intelligent AI-powered cloud-native data management strategy that can ingest, catalog, integrate, apply data quality rules, and prepare the data in a governed manner to make it available for next-gen use cases in a democratised way.
Speaking:
Daniel Hein
Head of Cloud Product Specialists, APAC & Japan, Informatica
Digital Transformation Success: 5 Things to Consider for a Cloud-Native Data Management Solution
July 26 | 11:20 - 11:45
Today, organisations are either building new cloud-native data warehouses or data lakes or modernising their existing on-prem systems in the cloud to accelerate their digital transformation journey. According to Gartner, by 2025, over 80% of organisations will use more than one cloud service provider (CSP) for their data and analytics use cases. But just moving the data to the cloud doesn’t solve their business or technical challenges. Data management is still a huge blocker for enterprises to get maximum ROI from their cloud-native data warehouse and data lake investments.
Hear from Informatica on the things to consider to embrace an intelligent AI-powered cloud-native data management strategy that can ingest, catalog, integrate, apply data quality rules, and prepare the data in a governed manner to make it available for next-gen use cases in a democratised way.
11:45
Build Trust in AI Systems Through Transparency
Speaking:
Chung Sang Hao
Deputy Director (AI Governance), Infocomm Media Development Authority (IMDA)
12:10
The Logical Approach to a Data-Driven Culture
The early crop of CDOs was focused on data governance, data quality and regulatory drivers but today's CDOs are more focused on enabling a data-driven culture. To become data-driven, organisations must ensure that as many data consumers as possible are able to access the entire enterprise data and use it to improve and optimise both business and decision-making processes.
Attend this session to understand how a logical approach to data delivery can be used to;
- Seamlessly implement an Enterprise Data Marketplace
- Enable all data consumers to derive value faster from self-service and advanced analytical tools
- Apply consistent security and governance policies across the enterprise data ecosystem
Speaking:
Katrina Briedis
Sr. Product Marketing Manager, APAC, Denodo
The Logical Approach to a Data-Driven Culture
July 26 | 12:10 - 12:35
The early crop of CDOs was focused on data governance, data quality and regulatory drivers but today's CDOs are more focused on enabling a data-driven culture. To become data-driven, organisations must ensure that as many data consumers as possible are able to access the entire enterprise data and use it to improve and optimise both business and decision-making processes.
Attend this session to understand how a logical approach to data delivery can be used to;
- Seamlessly implement an Enterprise Data Marketplace
- Enable all data consumers to derive value faster from self-service and advanced analytical tools
- Apply consistent security and governance policies across the enterprise data ecosystem
12:35
Presentation: Responsible AI and Sharing the Singapore Financial Sector Experience
Speaking:
Xuchun Li
Deputy Director & Head of AI Development Office, Monetary Authority of Singapore
1:00
Lunch Break! Connect and Converse.
Lunch Break! Connect and Converse.
July 26 | 13:00 - 14:05
Speaking:
Track A Risk and Governance Management
2:05
Discussion Group – Fuelling Data Governance as the Enabler
- Strategies to lift and drive DG programmes.
- Promoting the right data principles across the organisation.
- Communicating the value proposition of Data Governance as a key business focus and asset.
Speaking:
Poon Hong Yuen
Deputy Secretary (Workforce)/ Chief Data Officer, Ministry of Manpower
Discussion Group – Fuelling Data Governance as the Enabler
July 26 | 14:05 - 14:40
- Strategies to lift and drive DG programmes.
- Promoting the right data principles across the organisation.
- Communicating the value proposition of Data Governance as a key business focus and asset.
Track B Data-Driven Business Objectives and Innovation
2:05
Leading Change & Embedding a Data-Driven Culture
- Generating an understanding of what value data can bring to make timely well informed and impactful decisions.
- Ensuring data is managed, understood and governed consistently across the organisation.
- Defining, fostering and embedding a culture of data analytics and insight-based decision-making.
- Democratising analytics to foster insight and co-operation throughout the organisation; Breaking down enterprise silos.
Speaking:
Kyung Whu Chung
Director, Sales Engineering, APAC, MicroStrategy
Leading Change & Embedding a Data-Driven Culture
July 26 | 14:05 - 14:40
- Generating an understanding of what value data can bring to make timely well informed and impactful decisions.
- Ensuring data is managed, understood and governed consistently across the organisation.
- Defining, fostering and embedding a culture of data analytics and insight-based decision-making.
- Democratising analytics to foster insight and co-operation throughout the organisation; Breaking down enterprise silos.
Track A Risk and Governance Management
2:40
Discussion Group – Respecting Privacy and Securing Trust
- As customers and society in general become increasingly knowledgeable about data, how can organisations maintain public trust in their use of personal data and avoid the risk of reputational damage?
- What steps should we take to ensure that our data collection and usage is transparent, easy to understand, and acceptable to our customers?
- Exploring the future regulatory landscape.
- How can we reduce potential biases not only to ensure accuracy, but also ethical use of data?
- Data management and compliance across international markets
Speaking:
Sebastien Lacroix
Senior Legal Counsel, Privacy, APAC, The Coca-Cola Company
Discussion Group – Respecting Privacy and Securing Trust
July 26 | 14:40 - 15:15
- As customers and society in general become increasingly knowledgeable about data, how can organisations maintain public trust in their use of personal data and avoid the risk of reputational damage?
- What steps should we take to ensure that our data collection and usage is transparent, easy to understand, and acceptable to our customers?
- Exploring the future regulatory landscape.
- How can we reduce potential biases not only to ensure accuracy, but also ethical use of data?
- Data management and compliance across international markets
Track B Data-Driven Business Objectives and Innovation
2:40
Data Quality for AI - You are Only as Good as your Data
In this session, the speaker will talk about the increased dependence on data quality to power AI applications. Some of the key highlights of this session include:
- A practitioner’s overview of managing data for AI
- Going beyond traditional data quality considerations
- DQ over the AI lifecycle
Speaking:
Vijay Jairaj
Head, Data Management Risk - Responsible AI, Group Compliance, Standard Chartered
Data Quality for AI - You are Only as Good as your Data
July 26 | 14:40 - 15:15
In this session, the speaker will talk about the increased dependence on data quality to power AI applications. Some of the key highlights of this session include:
- A practitioner’s overview of managing data for AI
- Going beyond traditional data quality considerations
- DQ over the AI lifecycle
Track A Risk and Governance Management
3:15
Discussion Group Designing the Ideal CDO Data Governance Playbook for Forward-Thinking Organisations
CDOs have a challenging dual mandate to manage corporate risk and accelerate growth using analytics. Data governance is intended to enable both, but legacy approaches have failed and are simply unequal to the explosion of modern data volumes, rapidly expanding regulation, and increasingly data literate employees. During this executive-level presentation we will examine new, successful strategies that CDOs are using to partner with business stakeholders to embed governance as a part of the corporate culture.
Speaking:
Eyal Mekler
General Manager Asia Pacific, Alation
Discussion Group Designing the Ideal CDO Data Governance Playbook for Forward-Thinking Organisations
July 26 | 15:15 - 15:50
CDOs have a challenging dual mandate to manage corporate risk and accelerate growth using analytics. Data governance is intended to enable both, but legacy approaches have failed and are simply unequal to the explosion of modern data volumes, rapidly expanding regulation, and increasingly data literate employees. During this executive-level presentation we will examine new, successful strategies that CDOs are using to partner with business stakeholders to embed governance as a part of the corporate culture.
Track B Data-Driven Business Objectives and Innovation
3:15
Insight Engines as a Key Success Factor in Large-Scale Digital Transformation Projects
- Which capabilities companies need to successfully implement large-scale digital transformation efforts.
- How an insight engine can help to manage ever growing amounts of unstructured and siloed data.
- Best practice use cases of successful digital transformation with an insight engine for website search and customer service case classification.
Speaking:
Dr Moritz Müller
General Manager Asia, Squirro
Duy Huynh
Digital Transformation Global Lead, FPT
Insight Engines as a Key Success Factor in Large-Scale Digital Transformation Projects
July 26 | 15:15 - 15:50
- Which capabilities companies need to successfully implement large-scale digital transformation efforts.
- How an insight engine can help to manage ever growing amounts of unstructured and siloed data.
- Best practice use cases of successful digital transformation with an insight engine for website search and customer service case classification.
3:50
Afternoon Tea & Networking in the Exhibition Area
Afternoon Tea & Networking in the Exhibition Area
July 26 | 15:50 - 16:20
Speaking:
4:20
How to Maximise Value with Trusted Data
Data Governance has been viewed as a series of controls and data quality metrics for far too long. It is time to rethink and reimagine Data Governance as a business enabler - a facilitator on how to get things right. Attend this session to learn more about:
- Benefits of building out holistic end-to-end business processes with data
- Asking the “why” and “what” questions behind each new initiative
- Leveraging existing data assets for business value and strategy
Speaking:
Dr David R Hardoon
Chief Data & Innovation Officer, Aboitiz Group and Managing Director, Aboitiz Data Innovation
Peggy Tsai
Chief Data Officer
How to Maximise Value with Trusted Data
July 26 | 16:20 - 16:45
Data Governance has been viewed as a series of controls and data quality metrics for far too long. It is time to rethink and reimagine Data Governance as a business enabler - a facilitator on how to get things right. Attend this session to learn more about:
- Benefits of building out holistic end-to-end business processes with data
- Asking the “why” and “what” questions behind each new initiative
- Leveraging existing data assets for business value and strategy
4:45
Lightening Session Data and Record Management to Enable Bank Data Strategy
Speaking:
Mohammad Rahim
Global Head of Data Conduct, Standard Chartered Bank
5:00
Getting Value from AI at Scale
Speaking:
Sandip Sharma
Director, AI Solutions Engineering APJ, H2O.ai
5:25
CDAO Exclusive: Inaugural Courage Council "Diversity at the Top: The Imperative for Change"
A joint initiative by She Loves Data and Informatica.
Speaking:
Jana Marle-Zizkova
Co-founder and volunteering CEO, She Loves Data
Tracy Quah
VP Marketing, Informatica
Patricia Mulles
Global Head of Partnerships, She Loves Data
5:30
Chair’s Remarks
Speaking:
Melecio Valerio
Head of Data Governance, Group Technology, Maya Philippines
5:35
CDAO Singapore 2020 - Drinks Reception & Networking in the Exhibition Area
CDAO Singapore 2020 - Drinks Reception & Networking in the Exhibition Area
July 26 | 17:35
Speaking:
Conference Day Two 27th July 2022
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08:50
Chair’s Opening Remarks
Speaking:
Melecio Valerio
Head of Data Governance, Group Technology, Maya Philippines
09:00
Health AI Strategy
- Hear how macro trends and the operating context of healthcare services today has shaped and impacted the Ministry of Health's health AI strategy in Singapore.
- Learn about the two-pronged strategy by Ministry of Health Singapore by focusing on both ecosystem enablers and use cases in the health AI journey
- Deep dive into examples of the ecosystem enablers and see what lies ahead and some examples of use cases that will shape the future
Speaking:
Sutowo Wong
Director, Data Analytics Division, InfoComm, Technology & Data Group, Ministry of Health Singapore
Health AI Strategy
July 27 | 09:00 - 09:25
- Hear how macro trends and the operating context of healthcare services today has shaped and impacted the Ministry of Health's health AI strategy in Singapore.
- Learn about the two-pronged strategy by Ministry of Health Singapore by focusing on both ecosystem enablers and use cases in the health AI journey
- Deep dive into examples of the ecosystem enablers and see what lies ahead and some examples of use cases that will shape the future
09:25
Transform your Traditional Data Warehouse to Cloud Optimised Modern Analytics Platforms
With seemingly endless growth in data volumes, it’s a good time to consider new approaches to the traditional data warehouse. You need the ability to rapidly scale your storage resources without compromising performance. A modern approach solves these challenges so that you can maximise the value of new and growing volumes of data.
Pure Storage expands your ability to manage workloads dynamically and simplify operations beyond public clouds. It’s a new option to get the capabilities and benefits of cloud-optimised architectures in on-premises environments.
Speaking:
Sunil Chavan
Area Vice President, Emerging Technology Solution Sales APJ, Pure Storage
Transform your Traditional Data Warehouse to Cloud Optimised Modern Analytics Platforms
July 27 | 09:25 - 09:50
With seemingly endless growth in data volumes, it’s a good time to consider new approaches to the traditional data warehouse. You need the ability to rapidly scale your storage resources without compromising performance. A modern approach solves these challenges so that you can maximise the value of new and growing volumes of data.
Pure Storage expands your ability to manage workloads dynamically and simplify operations beyond public clouds. It’s a new option to get the capabilities and benefits of cloud-optimised architectures in on-premises environments.
09:50
Engineering for AI/ML
Personalising our customers' journey and optimising their experience requires a range of AI/ML products. The engineering foundations to support these AI/ML products can go a long way in allowing a team to build MVPs faster and iterate with velocity. We'll talk about how Traveloka has approached this, using a mix of open source tools and frameworks:
- The domain of analytics engineering and the tools that support it
- Democratising feature engineering and AI across the data team
- Feature serving for AI/ML products
- AI/ML product serving
Speaking:
Oliver Chen
Head of Data, Traveloka
Engineering for AI/ML
July 27 | 09:50 - 10:15
Personalising our customers' journey and optimising their experience requires a range of AI/ML products. The engineering foundations to support these AI/ML products can go a long way in allowing a team to build MVPs faster and iterate with velocity. We'll talk about how Traveloka has approached this, using a mix of open source tools and frameworks:
- The domain of analytics engineering and the tools that support it
- Democratising feature engineering and AI across the data team
- Feature serving for AI/ML products
- AI/ML product serving
10:15
Data Observability is at the Heart of a Strong, Scalable Data Driven Enterprise
For years, enterprises have run mission-critical data systems with outdated tools that weren’t designed to manage the current exploding supply of data. The problem is only getting worse as massive data volumes, data pipeline complexity, and new technologies provide minimal real-time insight into data quality and reliability, usage, spend forecasting, best practice violations, and silent failures.
Multidimensional data observability platforms overcome these challenges by going beyond simple monitoring and observing data processing, data, and data pipelines. This enables data observability platforms to deliver a single, tech-agnostic source for actionable insight, predictive modeling and analytics across data pipelines and technologies including Kafka, Confluent, Snowflake, Databricks and more.
Attend this session and learn how to:
- Eliminate blind spots in your data quality and data processing
- Shift left: Go upstream, detect issues closer to the ingestion source
- Overcome silos with multidimensional data observability and get a holistic view of your data across the organisation
- Drive measurable business growth with highly reliable data
Speaking:
Raju Bhupatiraju
General Manager, APAC & Middle East, Acceldata
Data Observability is at the Heart of a Strong, Scalable Data Driven Enterprise
July 27 | 10:15 - 10:40
For years, enterprises have run mission-critical data systems with outdated tools that weren’t designed to manage the current exploding supply of data. The problem is only getting worse as massive data volumes, data pipeline complexity, and new technologies provide minimal real-time insight into data quality and reliability, usage, spend forecasting, best practice violations, and silent failures.
Multidimensional data observability platforms overcome these challenges by going beyond simple monitoring and observing data processing, data, and data pipelines. This enables data observability platforms to deliver a single, tech-agnostic source for actionable insight, predictive modeling and analytics across data pipelines and technologies including Kafka, Confluent, Snowflake, Databricks and more.
Attend this session and learn how to:
- Eliminate blind spots in your data quality and data processing
- Shift left: Go upstream, detect issues closer to the ingestion source
- Overcome silos with multidimensional data observability and get a holistic view of your data across the organisation
- Drive measurable business growth with highly reliable data
10:40
Keynote Panel Discussion Keeping Pace, Future Proofing and the Smart Enterprise – What will the 4th Industrial Revolution mean for your Organisation?
- What are the latest technological breakthroughs?
- How will quantum computing infrastructure change the face of analytics approaches and projects?
- Towards cognitive analytics – what progress in advanced Artificial Intelligence and Machine Learning techniques with data analytics approaches?
- Can you name one game-changing strategy to ‘connect’ with customers and/or change operations in the next three to five years?
- How will consumers interact and make decisions based on artificial intelligence? How does algorithmic bias play into this?
- What will AI-enabled automation mean for future data management?
- How do you measure the effectiveness of the orchestration strategy - what kind of KPIs are used to measure AI production success?
Speaking:
Vinol Joy Dsouza
Business Analytics Lead (SE Asia), Carousell
Mohammad Rahim
Global Head of Data Conduct, Standard Chartered Bank
Pavel Bulowski
Co-Founder, SheLovesData
Nirupam Das
Global Digital Transformation Leader, Liberty Mutual Insurance
Grant Weinstein
Sales Director – APAC, Sisense
Keynote Panel Discussion Keeping Pace, Future Proofing and the Smart Enterprise – What will the 4th Industrial Revolution mean for your Organisation?
July 27 | 10:40 - 11:15
- What are the latest technological breakthroughs?
- How will quantum computing infrastructure change the face of analytics approaches and projects?
- Towards cognitive analytics – what progress in advanced Artificial Intelligence and Machine Learning techniques with data analytics approaches?
- Can you name one game-changing strategy to ‘connect’ with customers and/or change operations in the next three to five years?
- How will consumers interact and make decisions based on artificial intelligence? How does algorithmic bias play into this?
- What will AI-enabled automation mean for future data management?
- How do you measure the effectiveness of the orchestration strategy - what kind of KPIs are used to measure AI production success?
11:15
Mid-Morning Coffee & Networking in the Exhibition Area
Mid-Morning Coffee & Networking in the Exhibition Area
July 27 | 11:15 - 11:45
Speaking:
11:45
A View from the Lakehouse: Transform Your Organisation by Enabling Data and AI at Scale
- 10 steps to develop a winning data and AI strategy
- Discover how the latest lakehouse innovation offers a simple, open, and multi-cloud platform to unify all your data, analytics, and AI — increasing your data team’s productivity to get new initiatives to market faster
- Learn from real-world use cases and best practices — brand leaders such as Grab, A*STAR’s Genome Institute of Singapore, Atlassian, and Dream11, are leveraging the lakehouse architecture to ease data governance, reduce cost, and increase collaboration across teams
Speaking:
Nick Eayrs
Vice President of APJ Field Engineering, Databricks
A View from the Lakehouse: Transform Your Organisation by Enabling Data and AI at Scale
July 27 | 11:45 - 12:10
- 10 steps to develop a winning data and AI strategy
- Discover how the latest lakehouse innovation offers a simple, open, and multi-cloud platform to unify all your data, analytics, and AI — increasing your data team’s productivity to get new initiatives to market faster
- Learn from real-world use cases and best practices — brand leaders such as Grab, A*STAR’s Genome Institute of Singapore, Atlassian, and Dream11, are leveraging the lakehouse architecture to ease data governance, reduce cost, and increase collaboration across teams
12:10
AI for the Public Good – Moving From Hype to Real Applications
This presentation gives an overview of the Artificial Intelligence (AI) projects GovTech has done for various agencies as well as the approach taken in supporting government AI use cases. In Singapore, AI is applied in a variety of uses cases, ranging from policy to ops work. Examples include text analytics, speech to text, fraud detection, and video analytics. Essentially GovTech aims to excite officers on the possibilities of AI and get them to think of how they can apply AI to the domain problems they have at hand.
Speaking:
Alvina Goh
Director of Artificial Intelligence Platforms, DSAID, GovTech
AI for the Public Good – Moving From Hype to Real Applications
July 27 | 12:10 - 12:35
This presentation gives an overview of the Artificial Intelligence (AI) projects GovTech has done for various agencies as well as the approach taken in supporting government AI use cases. In Singapore, AI is applied in a variety of uses cases, ranging from policy to ops work. Examples include text analytics, speech to text, fraud detection, and video analytics. Essentially GovTech aims to excite officers on the possibilities of AI and get them to think of how they can apply AI to the domain problems they have at hand.
12:35
Supercharge your AI/ML applications at lightning Speed, Scale & SQL
Modern world demands applications to process data faster and offer real-time insights. The use of AI/ML applications has enabled businesses to serve their customers better and, in return, generate billions of dollars in revenue. As businesses evolve, growing data volumes and complex data architectures expose AI/ML applications to increased complexity, rising costs, slow-moving data, and backbreaking latencies, resulting in poor performance.
The solution is simple! The underlying data engine makes all the difference. SingleStoreDB enables ultra-fast ingest, super low-latency queries, and multi-model support, meeting every AI/ML application’s growing demands.
Discover why 40+ Fortune500 companies chose SingleStoreDB to meet their growing demands.
We will discuss:
- How modernisation of databases can supercharge AI/ML applications delivering exceptional impact
- How a Unified Database can amplify the impact of your AI/ML solutions
- The use of Deep Learning with a modern data platform boosted fast image matching
Speaking:
George Kuruvilla
Director, Business Development, APAC, SingleStore
Supercharge your AI/ML applications at lightning Speed, Scale & SQL
July 27 | 12:35 - 13:00
Modern world demands applications to process data faster and offer real-time insights. The use of AI/ML applications has enabled businesses to serve their customers better and, in return, generate billions of dollars in revenue. As businesses evolve, growing data volumes and complex data architectures expose AI/ML applications to increased complexity, rising costs, slow-moving data, and backbreaking latencies, resulting in poor performance.
The solution is simple! The underlying data engine makes all the difference. SingleStoreDB enables ultra-fast ingest, super low-latency queries, and multi-model support, meeting every AI/ML application’s growing demands.
Discover why 40+ Fortune500 companies chose SingleStoreDB to meet their growing demands.
We will discuss:
- How modernisation of databases can supercharge AI/ML applications delivering exceptional impact
- How a Unified Database can amplify the impact of your AI/ML solutions
- The use of Deep Learning with a modern data platform boosted fast image matching
1:00
Next-Gen AI-Driven Digital Risk Assessment
Speaking:
Lee Sarkin
Chief Analytics Officer, Re Munich
1:25
Lunch Break! Connect and Converse
Lunch Break! Connect and Converse
July 27 | 13:25 - 14:25
Speaking:
2:25
Virtual Lightening Session: Using Big Data and Predictive Analytics for Better Insight and Innovation
In this fast paced, 15-minute presentation, the speaker will share valuable insights on the topic at hand.
Speaking:
Jane Leong
VP of Data & Growth, Love, Bonito
2:40
Accelerate Value Using an Automated Self-Defined Data Fabric
Enterprises have a plethora of applications that are involved in data movement and analytics. This landscape is a heterogeneous mix of technologies and vendors. Orion’s Enterprise Information Intelligence Graph incorporates active metadata, automation, and automatic data lineage to create a self-defined data fabric. This helps companies optimise costs, become compliant and provides a living-breathing document of the assets in the enterprise.
Speaking:
Ramesh Shurma
CEO, Orion Governance
Accelerate Value Using an Automated Self-Defined Data Fabric
July 27 | 14:40 - 15:15
Enterprises have a plethora of applications that are involved in data movement and analytics. This landscape is a heterogeneous mix of technologies and vendors. Orion’s Enterprise Information Intelligence Graph incorporates active metadata, automation, and automatic data lineage to create a self-defined data fabric. This helps companies optimise costs, become compliant and provides a living-breathing document of the assets in the enterprise.
3:15
Panel Discussion - How to Ensure Diversity in your Data Team
- How leaders can better support diversity in an organisation – understanding differing employee needs.
- Overcoming the potential for algorithmic bias - How can team diversity produce more balanced results?
- Analysing the traditional barriers to entry – are these beginning to change? Why aren’t more diverse groups applying?
- How to encourage more diverse talent beyond just the recruitment phase - keeping diverse groups engaged long term.
Speaking:
Sigrid Rouam
Head of APAC Data Platforms, Credit Suisse
Jason Tamara Widjaja
Director, Artificial Intelligence and Responsible AI Lead, Singapore IT Hub, MSD
Oliver Chen
Head of Data, Traveloka
Queenie Chan
Executive Director, Head of Strategy and Transformation in CPBB, Standard Chartered Bank
Panel Discussion - How to Ensure Diversity in your Data Team
July 27 | 15:15 - 15:50
- How leaders can better support diversity in an organisation – understanding differing employee needs.
- Overcoming the potential for algorithmic bias - How can team diversity produce more balanced results?
- Analysing the traditional barriers to entry – are these beginning to change? Why aren’t more diverse groups applying?
- How to encourage more diverse talent beyond just the recruitment phase - keeping diverse groups engaged long term.
3:50
How is Analytics Paving the Way to Build Deeper Connections with Customers and Consumers in the Food and Beverages Industry? – Topic to be Confirmed
- Data explosion on customer and consumer touchpoints
- How new data entities are helping companies to serve customers and consumers better and optimise the servicing cost
- New set of challenges – how to make a big successful traditional organisation more data-driven in a new era of Big Data
Speaking:
Varun Verma
APAC Head of Data & Analytics, Heineken Asia Pacific
How is Analytics Paving the Way to Build Deeper Connections with Customers and Consumers in the Food and Beverages Industry? – Topic to be Confirmed
July 27 | 15:50 - 16:15
- Data explosion on customer and consumer touchpoints
- How new data entities are helping companies to serve customers and consumers better and optimise the servicing cost
- New set of challenges – how to make a big successful traditional organisation more data-driven in a new era of Big Data
4:15
Afternoon Tea & Networking in the Exhibition Area
Afternoon Tea & Networking in the Exhibition Area
July 27 | 16:15 - 16:45
Speaking:
4:30
Keynote Virtual Presentation The Data Leader Journey - Building a Long-Term Data Strategy
- Exploring how Data and Analytics leaders need to evolve to survive, thrive and succeed in an uncertain economy.
- What methods should be used to develop your strategic approach to data & analytics in the coming years? • Responding to change & disruption - remaining flexible and adapting to the needs, priorities and goals of the wider business.
- How can we ensure that we are best positioned to successfully tackle future challenges and harness upcoming opportunities?
Speaking:
Ram Kumar
Chief Data and Analytics Officer, Cigna
Keynote Virtual Presentation The Data Leader Journey - Building a Long-Term Data Strategy
July 27 | 16:30 - 16:55
- Exploring how Data and Analytics leaders need to evolve to survive, thrive and succeed in an uncertain economy.
- What methods should be used to develop your strategic approach to data & analytics in the coming years? • Responding to change & disruption - remaining flexible and adapting to the needs, priorities and goals of the wider business.
- How can we ensure that we are best positioned to successfully tackle future challenges and harness upcoming opportunities?
5:35
Close of CDAO Singapore 2022
Speaking:
Melecio Valerio
Head of Data Governance, Group Technology, Maya Philippines