ODSC APAC 2020
Virtual AI Expo Hall
Demo Theater l 9 Partners l Virtual Networking
8-9 December, 2020 • Virtual
Expo Talks
Partners
Networking Events
Attendees
UNDERSTAND THE APPLICATION OF AI IN THE REAL WORLD
Wanna to keep up with the latest AI developments, trends and insights? Dealing with build or buy solution dilemma to grow your business? Seeking to interact with data-obsessed peers and build your network?
Look no further: ODSC AI Expo Hall is the right destination for you
Demo Theater With our free Expert-led demos and Expo Hall Tutorials, learn how these platforms and products can accelerate adoption of data science and AI within your organization. Understand the various AI adoption pathways in detail to decide on build vs buy decisions.
15 Virtual Booths Visit our 15 partner booths to learn the latest solutions in AI for the Enterprise from the most imporant players in the AI space. Technologies being showcased; Auto ML, Data Labeling, DevOps, DataOps, Deep Learning, Cloud Computing, Image, Voice and Facial Recognition.
Networking Meet and network with 1,500+ Data scientists and join the most influential Data Science community worldwide. Make professional relationships that can last forever by being part this unique community.
JOIN THE LARGEST DATA SCIENCE COMMUNITY IN US
AI Expo Pass
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Access to ODSC AI Expo (Tue-Wed)
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Access to 9 live Demo Talks, Tutorials (Tue)
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Access to Main ODSC Keynotes (Tue-Wed)
General Pass
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Access to All Main Conference Talks and Keynotes (Tue-Wed)
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Access to ODSC AI Expo (Tue-Wed)
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Access to 9 live Demo Talks, Tutorials
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Access to Virtual Networking Events (Tue-Wed)
Full-Day Pass
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Access to 20 Hands-on Trainings and Workshops (Tue-Wed)
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Access to All Main Conference Talks and Keynotes (Tue-Wed)
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Access to ODSC AI Expo (Tue-Wed)
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Access to 9 live Demo Talks, Tutorials (Tue)
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Full Access to Virtual Networking Events (Tue-Wed)

AI for Finance

AI for Marketing

AI for Healthcare

AI for Energy

AI for Biotech & Pharma

AI for Retail

AI for Climate

AI for Machines

AI Cyber & Fraud

AI for Manufacturing
Confirmed Speakers

Ian Ghent
Ian is a data science and engineering guru with over 2 decades of industry experience. He has a strong background in legacy SAS and Apache Spark-based analytical solutions. He has a wealth of experience designing and developing data warehouses, BI reports, business process automation, simulation systems, machine learning models, and analytical applications. His broad skills have helped numerous clients around the world in the government, financial, insurance, health care, telecom, software, and retail sectors. In 2015, he founded WiseWithData, a firm specialized in Apache Spark-based advanced analytics and legacy migration solutions, with a global reach.
Playing Peek-a-Boo on a Unified Analytics Platform(Talk)
Conversion as a Service: Challenges and opportunities for Legacy System Migration(Demo Talk)

Mehrnoosh Sameki, PhD
Mehrnoosh Sameki is a senior technical program manager at Microsoft, responsible for leading the product efforts on machine learning interpretability and fairness within the Azure Machine Learning platform. She earned her PhD degree in computer science at Boston University, where she currently serves as an adjunct assistant professor and lecturer, offering courses in responsible AI. Previously, she was a data scientist in the retail space, incorporating data science and machine learning to enhance customers’ personalized shopping experiences.
Error Analysis for Accelerating Responsible Machine Learning(Talk)

Saptarishi Dutta
Saptarishi is Sr. Analytics Consultant, India, supporting the SAS Platform product lines. In his current role, Saptarishi works with customers to collaborate with multiple stakeholders to ideate and build product prototypes for various business demands which can become a revenue potential. He has worked with customers in Financial Services, Insurance, and Manufacturing.
Saptarishi is passionate about discussion and designing solutions in the area of Machine Learning, Deep Learning, and Data warehousing.
Value of Analytics is in Consumption – Operationalize it (Demo Talk)
Demo Talk | Research Frontiers | AI Research | All Levels
Deployment, the “last mile” of analytics, remains a formidable challenge. Having said that some of the world’s leading technology firms that specialize in Analytics and Decisioning, are investing heavily in their R&D to build unified platforms that will manage the complete Analytics Life Cycle. Coupled with synergizing Data Access & Data Governance Technologies and related business processes and workflows, these companies are helping address exactly the challenge stated above. So today, friends, I will primarily talk about the “Last Mile” challenge and also discuss how SAS has been helping address this problem, for the developer and data science community at large, both Open Source and SAS. I will walk you through the full Analytics Life Cycle (build🡪 compare🡪 publish🡪govern🡪 consume), and time permitting showcase a small demonstration of the same…more details
Saptarishi is Sr. Analytics Consultant, India, supporting the SAS Platform product lines
In his current role, Saptarishi works with customers to collaborate with multiple stakeholders to ideate and build product prototypes for various business demands which can become a revenue potential. He has worked with customers in Financial Services, Insurance and Manufacturing.
Saptarishi is passionate about discussion and designing solution in the area of Machine Learning, Deep learning and Data warehousing.
Demo Talk | Data Engineering & MLOps | All Levels
Organizations are fast tracking their digital transformations to embrace change with open-source data science. We’ll look at why Apache Spark is the only comparable platform to SAS for modern unified analytics, why it’s the easiest way to migrate to the Cloud and key considerations for building a legacy migration strategy. We’ll present both challenges and opportunities for migration from legacy SAS to PySpark and demo the world’s only fully automated solution…more details Link To Session
Ian is a data science and engineering guru with over 2 decades of industry experience. He has a strong background in legacy SAS and Apache Spark based analytical solutions. He has a wealth of experience designing and developing data warehouses, BI reports, business process automation, simulation systems, machine learning models, and analytical applications. His broad skills have helped numerous clients around the world in the government, financial, insurance, health care, telecom, software, and retail sectors. In 2015, he founded WiseWithData, a firm specialized in Apache Spark based advanced analytics and legacy migration solutions, with a global reach.
Demo Talk | Machine Learning | Cross-Industry | Beginner-Intermediate
As AI reaches critical momentum across industries and applications, it becomes essential to ensure the safe and responsible use of AI. AI deployments are increasingly impacted by the lack of customer trust in the transparency, accountability, and fairness of these solutions. In this demo, we are discussing the latest responsible AI developments in Azure Machine Learning and discuss how these new responsible ML capabilities in Azure Machine Learning and our open-source toolkits empower data scientists and developers to understand ML models better…more details Link To Session
Mehrnoosh Sameki is a senior technical program manager at Microsoft, responsible for leading the product efforts on machine learning interpretability and fairness within the Azure Machine Learning platform. She earned her PhD degree in computer science at Boston University, where she currently serves as an adjunct assistant professor and lecturer, offering courses in responsible AI. Previously, she was a data scientist in the retail space, incorporating data science and machine learning to enhance customers’ personalized shopping experiences.
Demo Talk | Research Frontiers | AI Research | All Levels
Deployment, the “last mile” of analytics, remains a formidable challenge. Having said that some of the world’s leading technology firms that specialize in Analytics and Decisioning, are investing heavily in their R&D to build unified platforms that will manage the complete Analytics Life Cycle. Coupled with synergizing Data Access & Data Governance Technologies and related business processes and workflows, these companies are helping address exactly the challenge stated above. So today, friends, I will primarily talk about the “Last Mile” challenge and also discuss how SAS has been helping address this problem, for the developer and data science community at large, both Open Source and SAS. I will walk you through the full Analytics Life Cycle (build🡪 compare🡪 publish🡪govern🡪 consume), and time permitting showcase a small demonstration of the same…more details
Saptarishi is Sr. Analytics Consultant, India, supporting the SAS Platform product lines
In his current role, Saptarishi works with customers to collaborate with multiple stakeholders to ideate and build product prototypes for various business demands which can become a revenue potential. He has worked with customers in Financial Services, Insurance and Manufacturing.
Saptarishi is passionate about discussion and designing solution in the area of Machine Learning, Deep learning and Data warehousing.
Demo Talk | Data Engineering & MLOps | All Levels
Organizations are fast tracking their digital transformations to embrace change with open-source data science. We’ll look at why Apache Spark is the only comparable platform to SAS for modern unified analytics, why it’s the easiest way to migrate to the Cloud and key considerations for building a legacy migration strategy. We’ll present both challenges and opportunities for migration from legacy SAS to PySpark and demo the world’s only fully automated solution…more details Link To Session
Ian is a data science and engineering guru with over 2 decades of industry experience. He has a strong background in legacy SAS and Apache Spark based analytical solutions. He has a wealth of experience designing and developing data warehouses, BI reports, business process automation, simulation systems, machine learning models, and analytical applications. His broad skills have helped numerous clients around the world in the government, financial, insurance, health care, telecom, software, and retail sectors. In 2015, he founded WiseWithData, a firm specialized in Apache Spark based advanced analytics and legacy migration solutions, with a global reach.
Demo Talk | Machine Learning | Cross-Industry | Beginner-Intermediate
As AI reaches critical momentum across industries and applications, it becomes essential to ensure the safe and responsible use of AI. AI deployments are increasingly impacted by the lack of customer trust in the transparency, accountability, and fairness of these solutions. In this demo, we are discussing the latest responsible AI developments in Azure Machine Learning and discuss how these new responsible ML capabilities in Azure Machine Learning and our open-source toolkits empower data scientists and developers to understand ML models better…more details Link To Session
Mehrnoosh Sameki is a senior technical program manager at Microsoft, responsible for leading the product efforts on machine learning interpretability and fairness within the Azure Machine Learning platform. She earned her PhD degree in computer science at Boston University, where she currently serves as an adjunct assistant professor and lecturer, offering courses in responsible AI. Previously, she was a data scientist in the retail space, incorporating data science and machine learning to enhance customers’ personalized shopping experiences.

Partnering With ODSC
Last year, ODSC welcomed nearly 20,000 attendees to an unparalleled range of events, from large conferences to hackathons and small community gatherings.
WHO WILL ATTEND
Our Solution Showcase Expo hall gathers the executives, business professionals, experts, and data scientists transforming the enterprise with Artificial Intelligence
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CEO, CDO, CIO, CTO and other C-Suite Executives
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VP of Engineering, R&D, Marketing, Business Development.
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Product Managers and VP of Product
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Business Analysts, Data Analyst, Research Analysts, and Marketing Analysts
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VP of Engineering, VP of Development, VP of Data
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IT and Software Managers and Team Leads
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Software Architects, Engineers and Developers
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Data Engineers, Database Admins, Data Infrastructure Experts
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Chief Data Scientist, Chief AI Officers
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Data Scientists, Statisticians, Predictive Analytics Experts
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AI Experts Machine Learning Experts, Deep Learning Experts
REGISTRATION ENDS IN:
REGISTRATION
COMPLIMENTARY AND PAID EXPO HALL PASSES
Free Solution Showcase Passes are available to qualified attendees
Expo Hall & Accelerate AI Passes
AI Expo Hall Pass
$79
10% off Ends Friday- Access the Expo Hall over 2 days
- Expo Hall Demos
- Access to Day Networking Sessions*
- Expo Hall Tutorials Track
- Uses Cases Track
AI Biz 2 Day Pass
$469
10% off Ends Friday- Access to Expo Hall over 2 days
- Expo Hall Tutorials
- Expo Hall Demos
- Access to Day Networking Sessions*
- Access to 48 Talks and AI Workshops Session on April 30th to May 1st
- Invitation to Evening Network Receptions and Special Events
AI Biz 4 Day Pass
$969
10% off Ends Friday- Access to Expo Hall over 4 Days
- Expo Hall Tutorials
- Expo Hall Demos
- Access to Day Networking Sessions*
- Access to 48 Talks and AI Workshops Session on April 30th to May 1st
- Invitation to Evening Network Receptions and Special Events
- Access to 80+ AI presentations at ODSC May 2nd to 3rd
- Access to 50+ AI workshops at ODSC May 2nd to 3rd
- Access to ODSC Main Networking Reception
PAST COMPANY ATTENDEES
- Abercrombie & Fitch
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