CDO SEA Series - October Edition 2021
The Evolving Role of the CDO: Examining the Responsibilities, Potential and Impact of Data Leaders in 2022
Hosted by Factor
- 500 attendees
- 15600 hours
Overview
Regardless of financial challenges, COVID-19 has presented untold opportunities for companies in Southeast Asia to accelerate their digital transformation agendas. As the fourth largest trading and consuming region in the world, with one of the largest young and digitally savvy segments, companies and Data & Analytics leaders in SEA need to keep investing in building new digital capabilities and technologies to stay competitive, while conveying a strong strategic vision and promoting a strong data-driven culture and engaged workforce. Our series will focus on:
Aligning our data strategy with the wider enterprise objectives
How to understand and implement successful data-democratisation and data-sharing initiatives
Deriving true insights from our data that can help drive our business and create real impact
What to expect
- Live Interactions 1:1
- Sessions 8+
- Hours 2+
- Attendees 200+
What we will cover
- Data Strategy & Direction: How to align our data strategy holistically across our organisational strategic direction
- Data Governance and Security How to innovate your data governance initiatives and manage key risk issues across your organisation
- Data Integration How are we sharing data internally to help drive key business outcomes and support our customers
- Data Value Realisation Deriving the true value and capability from our data & analytics systems and process to make informed decisions
Agenda
- Data Virtualization: The Smartest Way to Creating a Data Marketplace(Plenary) Today most organisations rely on data-driven insights to make critical operational and strategic decisions. But given the complexity and vastness of the modern enterprise data ecosystem, finding the right data set and extracting actionable insights is an extremely complicated and time-consuming process. That’s where data virtualization can be used to abstract that complexity and introduce simplicity. Data Virtualization is a modern data integration technique that uses a single unified semantic layer to give you visibility into all of your data assets so that they can be better leveraged across the business. Attend this session to understand how data virtualization can be used to; Complete the self-service model by allowing business users to easily discover data for their specific business purpose Promote trust in data and encourage re-use of existing data assets Apply consistent security and governance policies across the enterprise data landscape
- Keynote: Creating Value From our Data to Succeed in Business(Plenary) The banking industry is going through major digital transformation and at the same time generating much more data than it used to be. The question is how does a bank leverage on these data into actionable insights for betterment of customer servicing, drive operational efficiency and productivity to sustain business growth. The speaker will share their point-of-views and experience on harvesting data for building smart operations utilising advanced analytics and transforming to data driven operating model.Data storytelling offers a more engaging means of communicating findings than BI reporting or data visualisation alone. This trend is an extension of the now dominant self-service model of BI, combining data visualisation with narrative techniques.
- How You Can Access Live, Granular Data Across Your Organisation And Your Business Ecosystem(Plenary) Data has become more than something to collect and analyse. It’s an asset you can easily and securely make available inside and outside your organisation to streamline operations, swiftly deliver more personalised customer experiences, and open up new market opportunities. In fact, the use case for sharing data within an organisation has always been clear, but the next phase is really revolutionising how we share data with those on the outside. Join Snowflake on this webinar to learn how you can access live, granular data across your organisation and your business ecosystem, so you can acquire deeper insights not available with traditional data analytics.
- Keynote: Engineering Data Privacy to Enable Trust, Governance and Compliance(Plenary) Attend this session to gain insights into: Enable effective scalable data privacy How to be customer data focused Best practice approaches Challenges and lessons learnt
- How to Use Confidential Computing in Your Business?(Plenary) Depending on the nature of your business and your commercial objectives, sharing your client data to third-party vendors is a must, and that obligation poses risks for you and your clients in terms of data leakages and misuse. How can one leverage Confidential Computing to expand current operations without major disruptions, maintain and adhere data privacy regulations, and increase your customer’s trust in handling their data? In today’s “The role of confidential computing in data-driven future” series, three guidelines will be shared for Data Officers to expand their current operations whilst keeping data secure.
- Panel: Storytelling Through Data to Make Informed Business Decisions(Plenary) Data storytelling offers a more engaging means of communicating findings than BI reporting or data visualisation alone. This trend is an extension of the now dominant self-service model of BI, combining data visualisation with narrative techniques. What is a data story? When and how should data storytelling be used? What new skills and techniques are needed to create compelling data stories?This panel will hear insights from leading data leaders across the region on how data can drive business outcomes and meaningful insights through successful storytelling: Using data and analytics to influence stakeholders at all levels How to shape data into a narrative to help reveal findings and emerging trends How to use data storytelling, data visualisation and dashboards to think differently about its impacts on the wider enterprise? What are the data & digital literacy skills required in a hyper digitalised and data-driven era?
- Networking break(Plenary)
- From Collected Data to Connected Data: Delivering the Value of Your Data Through Relationships(Plenary) This presentation sets the stage to understand Graph Data Platform and how it can support enterprises from progressing from Collected Data to Connected Data. We will share use cases of real-life examples of how global companies have leveraged this through Knowledge Graphs with technologies like Graph Data Science, Graph Database etc to uncover the gems of insights and knowledge hidden within their data. Relationships between data points are what is key to this discovery.
- Keynote: Culture Eats Strategy for Breakfast(Plenary) Attend this session to gain insights on: Authentic leadership strategies Communication and storytelling capabilities How to bring your whole self to your leadership role to drive team and business impact The power of culture
- Enabling AI-powered Experiences Through Data Transformation(Plenary) After almost 2 years of fluctuating customer behaviour across all sectors on a global level, organisations are now more than ever focused on grasping the value of every customer interaction. This is a task easier said than done; an organisational objective that is not possible without a strategic look at the CDOs role, combined with a strong data culture and understanding of AI enabled opportunities. Join us as we discuss: Data transformation AI enablement – Drivers & Communities Effective Ways to Develop Your Roadmap for Success
- Keynote: Data Insights and Foresight as Pillars of Compliance(Plenary) Join this session to gain insights into: Leverage data insights to engage your stakeholders Organise data using the language of the business Present data to tell an accurate story and prescribe actions to improve your business
Speakers
Gareth Lewis · Head of Production, Factor Creatively driven, strategic thinker, with a passion for story-telling & story-doing. Working to helping business leaders connect through meaningful and engaging experiences.
Alok Kumar · Head of Data & Analytics, DBS Bank Alok Kumar currently is the Head of Data & Analytics at DBS Bank Singapore overseeing analytics initiatives across the IBG Operations units across 14 markets. He is responsible for building and scaling up of cutting-edge analytics solutions across the Group IBGO and build a culture of data driven decision making and data driven operating model. In this role, he is focused on bringing the innovative solutions and technology to deliver DBS’s vision of “Live more, Bank less” by translating data insights to reimagine customer and employee journey. He brings a strategic perspective on the trends shaping the future of banking including digitization, customer centricity, AI and analytics, automation & productivity optimisation, regulation and co-creation with Fintech/Partners. Alok brings with him around 22 years of experience in the areas of Analytics, Digital operations, Business Transformation, IT and Consulting. He has worked across Banking and Financial Services industries covering Americas, Europe, South Africa and Asia Pacific. Prior to DBS group, he held various leadership positions across Accenture, Infosys, and TCS. Alok holds a degree from the Indian Institute of Technology, Bombay with a Master in Technology and recently completed the World’s first course “AI in Finance” run by CFTE London. He is an AI optimist and believes that AI/ML is going to augment human intelligence to deliver next level of customer experience and intelligent automation. He is passionate about mentoring and coaching and is keynote speaker at leading industry conferences on the trends shaping the future of financial services. He is winner of Top analytics professional by Analytics 100 in 2019 by AIM India.Dr Chao Wang · CTO, 6ESTATES Chao Wang is currently the CTO of 6Estates. Previously, he was a senior data scientist at Baidu. He holds a PhD in Computer Science from Tsinghua University, where he was advised by Dr. Shaoping Ma and Dr. Yiqun liu. His work has primarily focused on nature language processing, information retrieval, search engine user behavior analysis. He has rich experience in designing and applying probabilistic graphical models & deep neural networks in industry. His work has appeared in major journals and conferences such as SIGIR, CIKM, TOIS, and IRJ. His main achievements include 2015 SIGIR Best Paper Honorable Mention Award, 2015 Scientific Technology Advance Award of Beijing City (First Prize), 2016 CIPS Excellent PHD thesis Award, 3rd Position in 2018 Chinese Machine Reading Comprehension competition and 3rd Position in 2019 Chinese Machine Reading Comprehension competition.
Karen Espinel · Chief Compliance Officer, AXA Atty. Karen Jill M. Espineli was the Assistant Corporate Secretary and Head of Legal and Third Party Recovery of Paramount Life & General Insurance Corporation (PLGIC). She also held the post of Chief Compliance Officer and Data Protection Officer from 1 January 2017 until she left the company in September 2019. From March 2011 to July 2014, Atty. Espineli provided consultancy services for NOW Corporation, its affiliates and subsidiaries, including NOW Telecom Company, Inc. and i-Resource Consulting International, Inc. NOW Corporation is a publicly-listed Philippine company engaged in Telecommunications, Media (except mass media), and Technology. From June 2013 to July 2014, she was the Corporate Secretary of GHT Network, Inc., a broadcasting company. She was also appointed as Corporate Secretary of the Asian Institute of Journalism and Communication, Inc. from October 2013 to July 2014. From May 2009 to March 2011, she was the Head of the Legal Department of Almeda, Inc., a company engaged in real estate activities. She also provided litigation support for the estate proceedings of the estate of Ponciano L. Almeda, one of the incorporators of Almeda, Inc. Atty. Espineli obtained her Bachelor of Laws from the University of the Philippines, Diliman and her degree in Political Science from the same university.Katrina Briedis · Sr. Product Marketing Manager Asia Pacific, Denodo Katrina has 20+ years Information Technology experience covering software development, project delivery, software sales and marketing. Her expertise lies in application development, data integration, business intelligence, and analytics. She has worked for leading software vendors such as IBM, Informatica, MicroStrategy, OpenText, Domo and more recently Denodo. Katrina has a passion for data and has worked in a variety of roles primarily helping organizations drive business insights and value through their data assets. She has held leadership positions managing software development teams as well as managing and building technical and marketing teams for startup organizations across the Asia-Pacific region
Rahul Tenglikar · Regional Director India, Neo4j Passionate about taking new ideas/solutions/products to market and building new markets, territories and revenue streams in the data, analytics, and AI space. Rahul truly believes in and follows use case based selling. Rahul has extensive experience in delivering for organizations in both products and solutions selling areas. Always on the seek out to learn from folks smarter than him.
Lu Luc · Head of Data Products & Transformation, Westpac Analytics, decisioning and technology leader. I help organisations become intelligent businesses. This is possible by rethinking how data and analytics can be combined with decisioning, machine learning and business acumen to create systems that automatically detect, understand and react as customer, external and business events occur. I take holistic accountability for data & analytics, from strategy to operating model, architecture, information management, monetisation, engineering, talent development and data privacy & security. My experience is global, having worked in Australia, Asia and Europe in the Technology, Energy, Banking, Capital Markets, Retail and Public sectors. Experience: - Westpac - Head of Data Products & Transformation - Chief Data Officer - One Mount Group - Executive Manager Data & Decision Engineering - CBA - Data & Decisioning Platform Manager - AGL Energy - Data & Analytics Lead - AGL Energy - Director - Advanced Data & Analytics at EYC3 - Financial Services IT Advisory Senior Manager at EY EMEA - SAP EIM Consulting Manager for UK and Ireland - Principal Consultant for BusinessObjects in the EMEA region - Data warehouse lead at Macquarie BankJuan Kanggrawan · Head of Data Analytics, Jakarta Smart City Analytics, product management, technocrat & business strategy professional with comprehensive 12++ years of exposure in business, government and technology. Exposed to entrepreneurship in tech (data management, risk intelligence, agri-tech and e-commerce) & angel investment domain. Lead team members consist of senior manager/lead, researcher from top 10 global universities, economist, policy advisor, product manager, data scientist, business analyst, data analyst, data engineer, analytics consultant. Drive organizations to make better decisions, faster, across levels and functions. Plan, build and commercialise digital and data product portfolio. Actively volunteer in numerous domains to drive concrete impacts in city, society, nation and region. Pure thirst in learning new knowledge/domain and connecting it to existing expertise & capacity. Passionate in talent building, teaching, academic research (including journal editorial board) and philosophical discussion.
Brian Chan · IT DIrector, jebsen Brian is the Information Technology Director at Jebsen Group
Yinghan HU · CEO, Tetmon Yinghan is CEO and co-founder of Tetmon, a data integration startup. He represented Singapore at Chongqing Tech Unicorn Summit 2020, and is a regular speaker at data conferences and smart city/ IoT workshops. He has over 15 years of leadership and data strategy experience, with his last position being General Manager of ZomWork, part of SPH Digital Business. Prior to that, he held management and strategy positions at Grab and Singtel, and started his career as a GIC Investment Associate in 2006. Yinghan has a BA and MA from University of Oxford in Jurisprudence.
Partners
- InterSystems · Event Partner Established in 1978, InterSystems is the leading provider of technology for critical data initiatives in the healthcare, finance, manufacturing and supply chain sectors, including production applications at most of the top global banks. Its cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems is committed to excellence through its award-winning, 24×7 support for customers and partners in more than 80 countries. Privately held and headquartered in Cambridge, Massachusetts, InterSystems has 25 offices worldwide. For more information, please visit InterSystems.com/Financial
- Snowflake Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.
- R3 R3 is an enterprise software firm that is pioneering digital industry transformation. With our foundation in enterprise blockchain technology, we power solutions that deliver trust across the financial services industry and beyond. Our enterprise blockchain platform Corda is digitalizing the processes and systems that firms rely on to connect and transact with each other and has more than 350 institutions deploying, servicing and building on it. And our confidential computing platform, Conclave, empowers businesses to develop applications that analyze and process sensitive data from multiple parties—all without compromising on confidentiality.
- Denodo Denodo is the leader in data virtualization – providing unmatched performance, unified access to the broadest range of enterprise, big data, cloud and unstructured sources, and the most agile data services provisioning and governance – at less than half the cost of traditional data integration. Denodo’s customers have gained significant business agility and ROI by creating a unified virtual data layer that serves strategic enterprise-wide information needs for agile BI, big data analytics, web and cloud integration, single-view applications, and SOA data services across every major industry. Denodo Platform offers the broadest access to structured and unstructured data residing in enterprise, big data, and cloud sources, in both batch and real-time, exceeding the performance needs of data-intensive organizations for both analytical and operational use cases, delivered in a much shorter timeframe than traditional data integration tools. The Denodo Platform drives agility, faster time to market, increased customer engagement from single view of customer and operational efficiencies from real-time business intelligence and self-serviceability. Founded in 1999, Denodo is privately held, with main offices in Palo Alto (CA), Madrid (Spain), Munich (Germany) and London (UK). For more information visit www.denodo.com, follow Denodo via twitter: @denodo or contact us to request an evaluation copy at info@denodo.com.
- Neo4j Neo4j is the leading graph database platform that drives innovation and competitive advantage at Airbus, Comcast, eBay, NASA, UBS, Walmart and more. Thousands of community deployments and more than 300 customers harness connected data with Neo4j to reveal how people, processes, locations and systems are interrelated. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges including artificial intelligence, fraud detection, real-time recommendations and master data. Find out more at Neo4j.com.
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