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ODSC APAC 2020 on-demand
ODSC WEST 2020 ON-DEMAND
Breakout Sessions
Workshops
Speakers
Hours of Content
Attendees

Data Science Virtual Conference

Accelerate your data science knowledge and network.  All in one event.

ODSC APAC Virtual Conference 2020 is one of the largest applied data science conferences. Our speakers include core contributors to many open source libraries and languages. Attend ODSC APAC Virtual Conference 2020 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.

Focus Areas

  • Deep Learning

  • Machine Learning

  • Research Frontiers

  • Data Visualization

  • Data Engineering/MLOps

  • Natural Language Processing

Topics

  • Recommendation Systems

  • Transfer Learning

  • Machine Vision

  • Autonomous Machines

  • Conversational AI

  • Artificial Intelligence

  • Speech Recognition

  • Unsupervised Learning

  • Image Classification

  • Machine Translation

Tools

  • Tensorflow, Keras, PyTorch, Caffe, MXNet

  • Scikit-learn, Theano, Shogun, Pylearn2

  • Python, Jupyter Notebooks

  • R programming, Julia, Scala, Stan

  • Apache Spark, MLlib, Streaming

  • Azure ML, Amazon ML,H20.ai, Cloud ML

  • Neo4J, D3.js, R-Shiny

  • Hadoop, Apache Storm, Apache Flink, Kafka, Druid

Participate at ODSC APAC Virtual Conference

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ODSC India & APAC Keynotes

Dr. Shailesh Kumar
Dr. Shailesh Kumar

Chief Data Scientist in AI/ML, Author of papers, book chapters and holds more than 20 patents in AI/ML

Jio

Dakshinamurthy V Kolluru, PhD
Dakshinamurthy V Kolluru, PhD

Professor, Founder and President, Awarded the Binani Gold Medal to indigenously develop Radome

Case Western Reserve University | INSOFE

Toby Walsh, PhD
Toby Walsh, PhD

Laureate Fellow & Scientia Professor of AI, Fellow of the Australian Academy of Science, Association for the Advancement of Artificial Intelligence, and the European Association for Artificial Intelligence

USNW | Data61

John Montgomery
John Montgomery

Corporate Vice President, Visual Studio, Microsoft Azure AI Lead, Former Chief Information Office at Imagine Publishing, Author at Visual Studio -

Microsoft

Featured Speakers & Instructors

Data & Information Ethicist | iSchool Research FellowUniversity of Illinois | CODATA

Theresa Anderson, PhD

As a data and information ethicist, Theresa uses creative, compassionate, and contemplative practices to help communities build better digital and data futures. Building consensus through gaining and maintaining a community’s trust and implementing good practice to advance socially-just data policies is embedded in her work. Her award-winning work as an educator and researcher engages with the ever-evolving relationship between people and emerging technologies when working with data and making decisions. A social informaticist with a Ph.D. in Information Science, she served as inaugural Director of the Master of Data Science & Innovation program at UTS from 2014-2018, leading the development of a uniquely transdisciplinary and human-centered curriculum that continues to prepare graduates for the demands of the data science fields. Now working as a freelance consultant, Theresa contributes to government, industry, and NGO efforts advancing socially-just data policies, building processes for gaining and maintaining a community’s trust in data/AI use. She recently joined the Standards Australia Data Sharing Committee (IT-027-06 and JTC 1/SC 32/WG 6). Theresa also contributes to international initiatives related to data sharing via the International Science Council’s Committee on Data and as a Sydney Ambassador for Stanford’s Women in Data Science Network.

Human-Machine Partnerships to enable Human and Planetary Flourishing(Talk)

Head of Data ScienceAustralian National University

Dr. Alex Antic

Alex has 17+ years’ experience developed across a number of industries and domains, including Federal and State government, Insurance, Asset Management, Banking (Investment and Retail), Consulting, and Academia. He has expertise in leveraging Data Science/AI to deliver impact and change, by developing and managing high-performance teams, and via strategic advisory and technical expertise. Alex has recently been recognized as one of the Top 10 Analytics Leaders in Australia by IAPA (Institute of Analytics Professionals of Australia).
You can follow Alex on Twitter (@DrAlexAntic) or his blog (https://impartiallyderivative.com).

How to Establish a Successful, Sustainable, and Scalable Data Science and AI Capability within an Organisation(Talk)

 

Director of the Data Analytics Consulting CentreNational University of Singapore

Prof. Carol Hargreaves

Prof Carol Anne Hargreaves is a results-oriented Director of the Data Analytics Consulting Centre at the National University of Singapore (NUS) and holds a joint position as an associate professor in the Department of Statistics & Applied Probability and the Department of Mathematics. She is also the Co-Chair for the Data Science & Analytics Programme. Prof Carol has extensive experience in leading teams of analysts to solve multidisciplinary real-world data science problems. She developed and took charge of multiple innovative projects in the Pharmaceutical, Healthcare, Telecommunications, and Fast-Moving Consumer Goods (FMCG) Industry.
Her research area includes Artificial Intelligence & Machine Learning Applications in Healthcare and the Financial Industry. She is a Member of the Data Literacy Programme Committee at the National University of Singapore. Prof Carol Hargreaves is a Keynote Conference Speaker, Program Committee Member, and an Editorial Board Member for many international and local conferences.

Empower your Organization with Data-Driven AI(Talk)

Head Data Science Infinite-Sum Modelling Inc.

Kavita Dwivedi

Kavita is an Analytics leader with 12 + years of core hands-on experience having an excellent track record on Presales, Partner Management, Analytics Delivery, and Team management across domains in World-Class Organizations. Currently, she is heading the Data Science function at Infinite Sum Modeling. She is a Chemical Engineer by education followed by a Masters (Eco) from IGIDR. She is a seasoned analytics professional with work experiences across companies like Fair Isaac, Experian, Accenture, Infosys, and Vodafone. Her vast experience in domains like Banking, Insurance, Telecom, Fraud, and Risk Management gives her the right kind of diversification. She has published papers in areas of Financial Econometrics and Social Media Analytics. She has been an esteemed speaker at various national seminars on Analytics. Her passion for Analytics and learning drives her to explore newer technologies and innovations in Analytics space. She is currently leading the capabilities of the firm in the areas of data science and analytics training as well as new business development in several areas that include data science, business analytics, Artificial Intelligence, Data Mining, Machine learning, blockchain, robotic process automation, econometric modeling, CGE modeling, policy/business strategy analysis, among other areas of interest to the company.

Portfolio Valuation for a Retail Bank using Monte Carlo Simulation and Forecasting for Risk Measurement(Talk)

Head of Federated Learning LabAI Singapore

Jianshu Weng, PhD

Jianshu is Head of Federated Learning at AI Singapore where he leads the team to develop a platform to support Federated Learning, a new paradigm of privacy-preserving Machine Learning. As a national initiative, AISG brings together the strength of AI research bodies in Singapore’s Autonomous Universities and research institutes, together with the vibrant ecosystem of AI start-ups and companies developing AI products, to perform use-inspired research, create innovative AI solutions, and develop the talent to power Singapore’s AI efforts.
Jianshu has many years of AI/Data Science research and consulting experience. In recent years, he has spent most of his time in putting AI/ML into real-world usage and promoting ethical aspects of AI/ML, e.g. explainability, fairness, robustness, and privacy-preserving AI/ML models. Before joining AISG, he was the Head of Insights and Modelling of a leading global reinsurer where he led his team to deliver a number of significant data science projects for their key clients in the Asia Pacific region. Jianshu obtained his Ph.D. in Computer Science from Nanyang Technological University (NTU), Singapore in 2008.

AI Singapore’s Journey into the World of Federated Learning(Talk)

Head of Analytics and AI | APAC AmbassadorTeacher's Health and Women in AI

Angela Kim

Angela is an AI Professional specialized in Ethics, Explainability, Diversity & Inclusion in AI and recipient of Top 10 Analytics Leaders 2020 From Institute of Analytics Professional Australia and also sits on the Founding Editorial Board of Springer’s new & timely AI and Ethics Journal.
Angela has been working with Insurance Australia Group, Macquarie Group, Microsoft, and Salesforce to provide AI outreach programs for high schools and also Technology Literacy programs for USYD, UNSW, UTS, and Macquarie University Business female students for 100 Girls 100 Futures Workshop.
In 2018, Angela and her team won the Data Science & AI National Industry Innovation Awards for “Best Industry Application of AI for AI & Data-driven Underwriting Engine” through a collaborative ANZ Wealth (Zurich Insurance) & the University of Technology of Sydney project. Angela works with STEM class in high school, Women in Business in major universities in Sydney, and Women in technology at Macquarie Group to promote Diversity and Inclusion in technology and Ethics, Fairness and Responsibility in AI.

How to Operationalize Ethics in Data and AI(Talk)

Head of AIAxel Springer AI

Dat Tran

Dat is the Head of AI at Axel Springer Ideas Engineering (https://axelspringerideas.de/), the innovation unit of Axel Springer SE which is the largest digital publishing house in Europe. He establishes and leads Axel Springer AI (https://ai.axelspringer.com/) where his goal is to make AI more accessible within Axel Springer and hence drive innovations within the group. His ultimate plan is to turn Axel Springer into an AI-first company. Dat’s interests are diverse from traditional machine learning, deep learning, AI in general to computer vision. Previously, he co-headed the data team at idealo.de where he built up the machine learning team from scratch. His team mainly focused on computer vision problems from teaching a computer to understand aesthetics to upscaling low-resolution images. He is a regular speaker and has presented at several renowned conferences. He also blogs about his work on Medium. His background is in Operations Research and Econometrics. Dat received his MSc in Economics from the Humboldt University of Berlin.

Imagededup – Finding Duplicate Images Made Easy!(Talk)

Director General and Special Advisor for the Benefits Delivery Modernization ProgramESDC

Pia Andrews

Pia Andrews is an open government and data ninja who has been driving digital, data, policy, and legislation transformation in the public sector for a decade. Pia has been in the tech sector and community for another 10 years before that and has been evangelizing “gov as a platform” right throughout. She works within the (public sector) machine to enable greater transparency, democratic engagement, citizen-centric design, and real, pragmatic actual innovation in the public sector and beyond.
Pia believes that tech culture particularly open source has a huge role to play in achieving better policy planning, outcomes, public engagement, and better public service all round. She is also trying to do her part in establishing greater public benefit from publicly funded data, software, and research. Pia was recognized in 2018 as one of the global top 20 Most Influential in Digital Government and was awarded as one of the Top 100 Most Influential Women in Australia for 2014.

Don’t Ask for Trust, be Trustworthy: Building Trust Infrastructure for AI(Talk)

Research ScientistAmerican Express AI Labs

Piyush Arora, PhD

Piyush Arora is a Research Scientist with American Express AI Labs, Bangalore, India since September 2019. Before joining American Express,  he was a Post-Doctoral researcher with the ADAPT Centre, Dublin, Ireland. He completed  PhD in computer science in August 2018 from Dublin City University, Ireland. 
His areas of interest are Information Extraction and Retrieval, Machine Learning, User Search Behavior, Natural Language Processing, Sentiment Analysis, and Deep Learning.
During his PhD, he worked in the area of Interactive Information Retrieval, towards developing novel solutions for improving the overall search experience and user learning.  Mainly focused on Natural Language Processing and Machine Learning techniques and tools and their application for different tasks, domains, and languages.
He is interested in learning and exploring more on how to use technology to bring changes at the root level, especially focusing on education and human learning, how can we make better societies and ecosystem with the use of technology. He believes “Guided Technology” can play an important role in the path towards a global sustainable world.

Natural Language Querying for Industry Grade Data Analytics Systems(Talk)

Director - Analytics and Data Science, Lecturer and Course CoordinatorAssignar | UTS

Duhita Khadepau

Graduating with a degree in Information Technology my love of working with data landed me my first job. Spanning three continents, my projects saw me architect Data Warehouses and Data Analytics platforms across banking, retail industries and startups. Currently, I am building the data platform and strategy at a construction tech B2B company called Assignar. Data, being a relatively new field is still shackled by the archaic ways of the old technology days with women still being far and few. Being a woman in this emerging area brings with it a sense of pride, but also a sense of responsibility. Empowering women to challenge the status quo and consider a career in Data is also on my agenda. I also enjoy keeping myself involved in academia by teaching in the Master of Data Science and Innovation(MDSI) program as a lecturer for Data Science Practices where I get to teach and mentor budding Data enthusiasts. One of my areas of interest is deep learning (neural networks and AI). I am fascinated with the possibilities of its application across industries and am keen to realise its potential in mainstream businesses. Hence I further aim to continue my quest for knowledge and discovery with an Industry PhD in the field of Neural Networks and Project Management.

SQL for Data Science(Tutorial)

Vice President - AI and Data TechnologiesHike Messenger

Dr. Ankur Narang

Dr. Ankur Narang has 26 years of experience in Senior Technology Leadership positions across MNCs including IBM Research India and Sun Research Labs (Oracle), CA, USA. He was one amongst Top-10 Data Scientists in India in 2017 (Analytics India Mag) in recognition of solid scientific and industry contributions to the field of Data Science and Artificial Intelligence.
Dr.Ankur Narang heads the AI division at Hike as Vice President – AI and Data Technologies, where he leads state-of-the-art research and development projects on NLP, Chatbots, Computer Vision, Speech Recognition and related AI/ML areas. He holds B.Tech. & Ph.D. from IIT Delhi in CS&E and has 45+ publications in top international Computer Science & Machine Learning conferences and journals, along with 15 granted US patents and 25 pending. He has held multiple Industrial Track and Workshop Chair positions, and has given invited talks in multiple international conferences. As Co-founder of Sigmoidstar, he drives various training initiatives and consulting projects in AI and latest technologies including Blockchain as applied to various domains such as Ecommerce, Healthcare, Advertising, Education and others.

Reinforcement Learning: Concepts, Challenges and Opportunities(Talk)

Head of Machine LearningAirtel Digital

Dr. Manjeet Dahiya

Manjeet Dahiya is a Principal Data Scientist with Delhivery. He has earlier worked with Agilent Technologies and United Online (Juno Online). Manjeet obtained his Ph.D. in computer science from IIT Delhi and BTech in electrical engineering from IIT Kanpur.

Learning Maps from Geospatial Data Captured by Logistics Operations(Talk)


Past ODSC Speakers

Daphne Koller, PhD
Daphne Koller, PhD

Co Founder & Co-Chairman

Coursera

Andrej Karpathy, PhD
Andrej Karpathy, PhD

Director of AI

Tesla

Hilary Mason
Hilary Mason

GM of Machine Learning Cloudera

CEO of Fast Forward Labs,

DJ Patil
DJ Patil

Former

U.S. Chief Data Scientist

Cathy O'Neil
Cathy O'Neil

Author

Weapons of Math Destruction

Dr. Viral B. Shah
Dr. Viral B. Shah

o-Founder and CEO,

Julia Computing Language

Anuj Gupta
Anuj Gupta

Author and Data Scientist

Intuit

Dipanjan Sarkar
Dipanjan Sarkar

Data Scientist

RedHat

Dr. Ramya Srinivasan
Dr. Ramya Srinivasan

Member of Research Staff

Fujitsu Laboratories of America

Shalini Sinha
Shalini Sinha

Director - Data Science

Numerify

Dawn Xiaodong Song, PhD
Dawn Xiaodong Song, PhD

One of MIT’s “the Top 35 Innovators in the World under the age of 35,

University of California - Berkeley, BAIR Lab

Pieter Abbeel, PhD
Pieter Abbeel, PhD

Professor & Director, Robot Learning Lab, Co-Founder

UC Berkeley, covariant.ai, Gradescope

Michael I. Jordan, PhD
Michael I. Jordan, PhD

Cited as one of the world's most influential data scientists,

UC Berkeley AI Lab

Rachel Thomas, PhD
Rachel Thomas, PhD

One of Forbes’ “20 Incredible Women in AI, Co-founder at fast.ai

fast.ai, University of San Francisco

Dr. Jürgen Schmidhuber
Dr. Jürgen Schmidhuber

Scientific Director, Professor of AI

IDSIA, USI

Yoshua Bengio, PhD
Yoshua Bengio, PhD

Professor, Université de Montréal

Scientific Director - MILA

Professor Alex Pentland
Professor Alex Pentland

Director

MIT Connection Science and Human Dynamics labs

Drew Conway, PhD
Drew Conway, PhD

Entrepreneur, author, and Data Scientist

Mike Stonebreaker
Mike Stonebreaker

A.M. Turing Award Laureate, Professor, Co-Founder

MIT CSAIL, Tamr

Professor Gary Marcus
Professor Gary Marcus

Scientist, Author, and award-winning NYU Professor

Dr. Kirk Borne
Dr. Kirk Borne

Principal Data Scientist

Booz Allen Hamilton

Manuela Veloso, PhD
Manuela Veloso, PhD

Head of AI Research, Head of ML Dept.(On Leave) At CMU

J.P. Morgan., CMU

Regina Barzilay, PhD
Regina Barzilay, PhD

Professor, MacArthur Fellow

MIT CSAIL

Reza Zadeh, PhD
Reza Zadeh, PhD

Founder and CEO at Matroid and Adjunct Professor at Stanford University

Matroid

Cassie Kozyrkov, PhD
Cassie Kozyrkov, PhD

Global Leader in Decision Intelligence at Google

Chief Decision Scientist Google

ODSC APAC Virtual Conference promises to be one of our most exciting lineups yet!  

Conference Focus Areas

– Taught by World-Class Data Science Instructors –

In our tutorials and workshops, get hands-on with the latest data science platforms, tools, models, and techniques. Forge a connection with these rock stars from industry and academia who are passionate about teaching data science skills to those who will build the future of the industry.
With over 20 workshops over 2 days, ODSC APAC offers an unprecedented breadth and depth of instruction. 

Virtual Conference Registration

Passes Still Available


Access to ODSC India and ODSC APAC Keynotes on Dec 8 and Dec 9

Access to Virtual Expo Hall on Dec 8 and Dec 9 

Access to Demo Talks on December 9 

Access  ODSC India Talks on December 8

Access to ODSC APAC Talks on December 9

Access to ODSC APAC Workshops on December 9

 On-Demand ODSC APAC Recordings 

Virtual AI Expo and Demo Talks  

Free

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General Pass

Free

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ALL ACCESS 

PASS

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I can’t possibly explain how much I enjoyed the ODSC East Virtual conference. Many of the talks and workshops exceeded my expectations. Thank you very much and well done!

Batool A. | Research Fellow | Liverpool, UK

ODSC East 2020 is the 3rd ODSC event that I have attended. The staff and speakers did a tremendous job approaching the challenge of moving the conference online. The speakers were engaging, the staff attentive, and my team had a wonderful experience this week. Well done! I look forward to attending my next event.

Leslie Walcott | Data Scientist | Chicago

It’s just wonderful to attend this virtual event with so many people over here. Wonderful Initiative by ODSC. Brilliant Content.

Harshit P. | Software Engineering | Accenture

I just want to say a huge thanks to the organizers! I was skeptical about the remote format at first. However, it is an introvert’s dream! It is so much easier to ask questions in chat/slack than it is to raise my hand in a crowded lecture hall

Andras Z.| Lead Data Scientist | Brown University.

ODSC is the best community data science events on the planet. There are other events that cover special topics, or industries, etc., but ODSC is comprehensive and totally community-focused: it’s the conference to engage, to build, to develop, and to learn from the whole data science community.

Kirk Borne | Principal Data Scientist and Executive Advisor at Booz Allen Hamilton

Superior Content & Networking

Accelerate your data science knowledge with the latest topics, tools, and trends presented by the best practitioners in the field

  • Gain in-demand skills to enhance your data science career or simply become a better data scientist

  • Many topics and formats to choose from, including talks,  tutorials and workshops all in one single place

  • Connect with 5,000 fellow data scientists, innovators, practitioners, and influencers

  • Learn from the best and brightest in AI and data science to accelerate your learning and insights

  • Learn from the core contributors behind hugely popular tools such as scikit-learn and Caffe

  • Meet executives from multiple industries using AI and data science to transform their industries

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Co-located with ODSC APAC

ODSC INDIA • 2020

Accelerate your Data Science Knowledge and Career

December 8th • Virtual Conference

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Tickets for ODSC India 2020 are available now!

ODSC Newsletter

Stay current with the latest news and updates in open source data science. In addition, we’ll inform you about our many upcoming Virtual and in person events in Boston, NYC, Sao Paulo, San Francisco, and London. And keep a lookout for special discount codes, only available to our newsletter subscribers!


Companies Represented at Previous ODSC Conferences

We’re Proud to Have Their Best and Brightest in Attendance

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