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STACK-X Data Science Connect 2022
Mr Chng Kai Fong
Second Permanent Secretary, Smart Nation and Digital Government Group (SNDGG)
Mr Chan Cheow Hoe
Government Chief Digital Technology Officer, SNDGODeputy Chief Executive, GovTech
Mr Jason See
Senior Director, Data Science & Artificial Intelligence Division (DSAID), GovTech
Ms Jane Wiseman
Chief Executive Officer, Institute for Excellence in Government
Ms Jaya Kolhatkar
Executive Vice President, Data at Disney StreamingThis presentation gives an overview of MOM’s data strategy and data culture that support its transformation efforts.
Mr Poon Hong Yuen
Deputy Secretary (Workforce) / Chief Data Officer, Ministry of ManpowerThis 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.
Dr Alvina Goh
Director, Data Science & Artificial Intelligence Division (DSAID), GovTechAnalytics-readiness is something that all projects should have on Day 1 of its launch. The key to that is to avoid analytics debt. The data collected from policy implementations, or programme executions should address questions that will help finetune refinements down the road. The data generated from products and platforms should help inform how well it is working, and what new features to build, or what to tweak. But this is often not the reality. Many projects face challenges with analytics downstream, potentially leading to disappointments from both from the business side, as well as the data science practitioners. In this sharing, the speaker will share more about Analytics By Design, which is a methodology that GovTech had mooted, and is piloting internally.
Mr Joseph Tan
Deputy Director, Data Science & Artificial Intelligence Division (DSAID), GovTechThis brief discusses how we have enabled user-centric data sharing, concierge services and self-help exploitation of sensor domain core data in our of the four Trusted Centres under the Government Data Architecture: 1) Foundational governance underpinning our approach to data request flow; 2) Importance of leveraging on an enterprise identity provider store (IdP) and its influence on our data fabric; 3) Enabling user-led discovery and exploitation with Databricks.
Mr Edwin Seah
Deputy Director/Principal Product Manager, Data Science & Artificial Intelligence Division (DSAID), GovTechThe gap between the promise of AI and the value it brings to government agencies is closing but still wide. In this presentation, Chandler McCann will share the technical and practical approaches to model development and production that have led to massive results across the U.S Government with automated machine learning.
Mr Chandler Mccann
Vice President, FED/SLED/MED Data Science Practice, DataRobotThis presentation gives an overview of how DSAID's Quantitative Strategy team has been actively supporting WOG data transformation by proliferating data-driven decision making in agencies. We will share about some of the high impact projects that the team has delivered over the years, covering a wide range of business domains, use cases and techniques. We will also discuss our philosophy, approach and methodology of using data and analytics and how we customise our service offering based on agency needs and data maturity to drive sustainable impact.
Dr Feng Yuzhang
Director, Data Science & Artificial Intelligence Division (DSAID), GovTech
Ms Ann Wei Ling
Senior Data Scientist, Data Science & Artificial Intelligence Division (DSAID), GovTechData and AI have become strategic priorities for every organisation, but today's complex and outdated legacy infrastructure struggles to deliver on the promise of AI. It's time for a new data architecture build to meet your needs today - and future-proofed so it's ready for whatever tomorrow brings. Find out how the Databricks Lakehouse combines the best of both data warehouses and data lakes with a lake-first approach.
Mr Lim Tau Herng
Solutions Architect, DatabricksEugene will discuss various applications of AI in cybersecurity, from detecting machine-generated phishing emails to automating code review. He will highlight established use cases as well as cutting-edge research. He will also examine the latest proposed standards in the use of AI on cybersecurity.
Mr Eugene Lim
Cybersecurity Specialist, GovTechA multilevel model is a regression on grouped data in which parameters (i.e., the intercept or slopes/regression coefficients) are randomly varying and given a probability model. We will learn how it is differs from classical regression and briefly explore how multilevel modelling can be used in the context of schools.
Mr Tham Zheng Kang
Data Scientist, Data Science & Artificial Intelligence Division (DSAID), GovTechData engineering strategy cultivates organizations to plan out their successful data journey. DSAID’s Data Engineering team has been single-minded in our mission to develop central platforms to support data sharing, analytics and data engineering capabilities, as well as partnering agencies to co-create critical data infrastructure and uplift their in-house data engineering capabilities. In this talk, we will cover components of the data engineering strategy which includes knowing the right processes & data, relevant tools & techniques, latest technology & infrastructure as well as some of our exciting work-in-progress.
Dr Yap Ghim Eng
Deputy Director, Data Science & Artificial Intelligence Division (DSAID), GovTech
Ms Melissa Yeo
Engineering Manager, Data Science & Artificial Intelligence Division (DSAID), GovTech
Mr Alessandro Cerè
AIML Specialist Solution Architect, Amazon Web ServicesIn this presentation, we review recent trends & discussions concerning concepts in Statistical Modelling and Machine Learning. We will also delve into the difference between inference & prediction and discuss strengths and concerns with some of the popular ideas that has evolved in the last century (e.g., use of p-value).
Dr Victor Ong
Senior Data Scientist, Data Science & Artificial Intelligence Division (DSAID), GovTechThe benefits of AI are widely known today. Increased interest among business users to adopt AI-enabled solutions is pushing the technology’s frontier on a daily basis. The rate of innovation and translation in this space is fast, and advancements in AI are being rapidly productized for commercial applications. An example is AI in the field of Video Analytics. Learn how the VA team at GovTech collaborate with industry to keep pace with advancements in AI and develop solutions for public sector agencies.
Mr Henry Lim
Lead Product Manager, Video Analytics Systems (VAS), Data Science & Artificial Intelligence Division (DSAID), GovTech
Mr Tan Congyuan
Senior Manager, Industry Partnerships, Data Science & Artificial Intelligence Division (DSAID), GovTech
Dr Li Guangda
Co-founder and Chief Technology Officer, ViSenzeWe have started the journey to transform GovTech into a model data analytics-ready organisation that is exemplary in the use of data! This presentation will give an introduction on GovTech’s Data Strategy and the various enablers that have been put in place to empower GovTechies to make use of data to improve their operations and gain insights for policy making.
Mr Lim Hock Chuan
Assistant Director, Data Science & Artificial Intelligence Division (DSAID), GovTech
Ms Le-Anne Lee
Manager, Data Science & Artificial Intelligence Division (DSAID), GovTechNational Economic Research & Visualisation Engine (NERVE) serves as the Sectoral Data Hub for the economic domain, facilitating access to identifiable firm-level, industry-level and macro-level data across government agencies. It draws data from both within the government as well as the private sector to enhance economic surveillance, inform strategy formulation, evaluate policy outcomes and facilitate service delivery.
Mr Kuhan Harichandra
Director (Digitalisation Office), Ministry of Trade and IndustryThe Video Analytics (VA) team builds deep learning models to address specific public sector use cases. As Deep Learning models become more advanced with increasing complexity, the need for model interpretability has come into greater focus. Understanding features that contribute to a Deep Learning model's output helps AI Engineers design better models and troubleshooting. There are methods known today to help with Deep Learning model interpretability, such as those requiring visual explanations on local prediction instances. But we aspire to create a global metric to quantify explainability. Find out how we are doing this in our collaboration with Meta/PyTorch.
Ms Jessica Foo
Associate AI Engineer, Data Science & Artificial Intelligence Division (DSAID), GovTech
Mr Howard Yang
Associate AI Engineer, Data Science & Artificial Intelligence Division (DSAID), GovTech
Dr Matthias Reso
Partner Engineer, AI, PyTorch, Meta
Ms Nicole Lee
Community Manager, Data Science and Artificial Intelligence Division (DSAID), GovTech
Mr Jason See
Senior Director, Data Science & Artificial Intelligence Division (DSAID), GovTechSelf-service is designed to enable everyone to ask and answer their own questions using trusted data to make informed decisions. Governance is the combination of controls, roles, and repeatable processes that creates trust and confidence in data and analytics. In a successful self-service environment, the appropriate levels of governance create accountability and enable, rather than restrict, access to trusted content for users in your organization. Perhaps the most important principle when adopting modern analytics is that self-service and governance are not at odds with each other. IT and business stakeholders on the project team are responsible for defining data and content governance together. In this presentation, we will discuss how getting the right balance of flexibility and control can help realize the benefits of both self-service and governance.
Ms Katerina Hanna
Senior Director, Customer Success APJ, Tableau at SalesforceData continues to grow at astounding rates, creating exciting opportunities for government agencies/departments to improve outcomes, enhance financial performance and create a better citizen experience. But when it comes to generating true value from various data and analytics investments, the differentiator often comes down to one or a mix of these 7 key principles. This session will highlight best practices from around the world on how they have adopted the 7 habits required to create a data-driven culture within your organization. Examples from local and international Qlik Public Sector customers will be highlighted throughout the discussion and questions will be encouraged.
Mr Charlie Farah
Senior Director and Industry Solution Lead, Public Sector and Healthcare APJ, QlikJoin us on this session to learn more on our journey to digitalise the state of ICT&SS Governance Reporting through the use of visualisation dashboards to reduce toil and improve agility and speed to insights.
Mr Ng Chun Kiam
Director, Governance Group, GovTech
Mr Mark Chan
Deputy Director, Governance Group, GovTech
Ms Elise Lee
Assistant Manager, Governance Group, GovTechThe ultimate goal of data strategy is to build a data culture where data is treated as an asset, everyone is empowered to use data to enhance their daily work, and fully utilize organization’s potential by making decisions more successful and insight-driven. Although everyone agrees that data is the new oil, the execution of data strategy has stalled at providing tools to data people. In this session, we will discuss the technology that can empower everyone with governed and trusted data & analytics platform, and how to inject insights to everywhere to achieve the true pervasive analytics.
Mr Kyung-Whu Chung
Head of Engineering APAC, MicroStrategyData fuels digital transformation. For organizations to become more data-driven, instilling the data culture is pivotal. A new-age Business Intelligence platform is a catalyst for that culture. This talk will cover the key elements that a modern BI platform should have that go beyond dashboards and reports and truly brings the value of data for all.
Mr Pradeep Menon
Cloud Scale Analytics Lead, GBB (Asia), MicrosoftHow does Google define and inspire an Artificial Intelligence (AI) learning journey to democratise AI? This is a sharing session on how Google technology and innovation, power research and applied AI to transform public, private and citizen services. Learn more as Dambo Ren presents (through partnering public sector customers) relevant and purposeful use cases in this session.
Mr Dambo Ren
Specialist Customer Engineer Manager, Public Sector (APAC), Google Cloud
Mr Joseph Tan
Deputy Director, Data Science & Artificial Intelligence Division (DSAID), GovTechThe future for DBS lies in leveraging data and analytics to change the way we run business – so that we can be nimbler, reduce time to market, deliver exponential outcomes, and help create truly differentiated products, services and customer experiences. The talk will provide an overview of DBS’ digital transformation journey and highlight how the bank is tapping data-driven insights to redesign customer and employee solutions.
Mr Sameer Gupta
MD & Chief Analytics Officer, DBS
Mr Joseph Tan
Deputy Director, Data Science & Artificial Intelligence Division (DSAID), GovTechJoin us at the Launch of DAT2022, now in its 5th year running! We are debuting some exciting news – expect a new track partner, new awards and more prizes than ever! ​Be the first to catch the unveiling of our DAT202 theme, participation timeline, DAT2022 finale and more.
Ms Nicole Lee
Community Manager, Data Science and Artificial Intelligence Division (DSAID), GovTechAn introduction to Power BI. AI is changing the way we get insights and drive results. See how Power BI leverages AI to aid in data exploration, automatically find patterns, help users understand what the data means, even help you code and create data marts to get more out of your data to tell your perfect story.
Mr Jason Boon
Azure Data AI Specialist, Microsoft Power BIJoin Qlik in this session and learn about Qlik Partnership with GovTech for DAT2022, Qlik's unique capabilities that you can use to build the winning dashboard, steps to registering for a test drive session and extending your knowledge into advanced topics like Geospatial, AutoML, automation and more.
Mr Edy Tan
Solution Architect, Qlik SingaporeStart your own amazing journey with Tableau! In this engaging 15 min segment, you will find who and what is Tableau, be introduced to Tableau Public Sector use cases, learn about what's in it for you and hear some amazing Tableau stories.
Mr Benjamin Tan
Lead Solution Engineer, TableauAs main dataset sponsor of this year’s DAT, the NCSS will be introducing its Quality of Life research series which examine the well-being and needs of individuals across different groups in need of support, and two datasets that will be provided from the studies. To measure quality of life, NCSS is aligned with the World Health Organisation, which takes a holistic, person-centred approach towards understanding what people perceive of their position in life. NCSS will also share potential areas of collaboration with other public officers.
Mr Lim Zhong Hao
Assistant Director, Centre for Applied Research & Evaluation, Translation Social Service Division, National Council of Social ServiceAsk me anything!
Ms Nicole Lee
Community Manager, Data Science and Artificial Intelligence Division (DSAID), GovTechIntroduction to Fraud Detection Platform, a WOG platform targeting grant fraud within Government Assistance Schemes.
Ms Esther Gao
Deputy Director/Principal Product Manager, Data Science and Artificial Intelligence Division (DSAID), GovTechWe deal with massive text data everyday, such as service feedback and news scanning. This session shares the basics of Natural Language Processing (NLP), or text analytics, and the different services brought by the text analytics platform GovText to the Whole of Government.
Ms Han Jing
Lead Product Manager, Data Science and Artificial Intelligence Division (DSAID), GovTechWith an increasing demand for data analytics driven work, there is a growing need to enable Whole-of-Government to carry out analytical work in a robust and secure environment. This presentation will share how the Data Engineering (DE) team has sought to build Analytics.gov, a data exploitation platform that supports agencies with their data exploitation work.
Mr Hansel Ng
Associate Data Engineer, Data Science and Artificial Intelligence Division (DSAID), GovTech
Mr Ismahfaris Ismail
Associate Data Engineer, Data Science and Artificial Intelligence Division (DSAID), GovTechDiscover how Snowflake enables you to deliver interactive data analytics regardless of the data volume and scale, and learn how to rapidly analyse large sets of data. Explore what's possible in the Data Cloud.
Mr Wilson Tan
Sales Director, Public Sector, Snowflake
Mr Lim Jie-Hong
Senior Sales Engineer, Public Sector, SnowflakeTranscribe is a Speech-To-Text platform developed by GovTech DSAID for WOG officers and agencies. It provides speech-to-text services to users in many different scenarios such as interviews, speeches, and recent COS debate. Available in both Internet and Intranet environment, it is a flexible tool that WOG officers and agencies can use in their daily work routine. API services are also available for system integration which would be shared more in the session. Come find out more about Transcribe and the variety of features available!
Ms Wang Xiaofan
Associate Product Manager, Data Science and Artificial Intelligence Division (DSAID), GovTechRecent developments in large language models (LLMs) such as GPT-3 are opening new frontiers in how machine learning can be applied to real world problems. In this presentation, I will cover an overview of the technology behind these LLMs and how these developments could positively and negatively impact the future of voice assistants.
