FREE VIRTUAL AI EXPO & DEMO HALL

 

ODSC East 2021

March 30th – 31st, 2021  •  Virtual 

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Talks
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Attendees

UNDERSTAND THE APPLICATION OF AI IN THE REAL WORLD

Want to keep up with the latest AI developments, trends, and insights? Dealing with the 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

30 Talks

Attend 30 interactive virtual sessions on AI for the Enterprise; AI for Finance, AI for Healthcare and Ai for X.  Understand the various AI adoption pathways in detail to decide on build vs buy decisions.

30 Virtual Booths

Visit 30 booths to learn the latest solutions in AI for the Enterprise from the most important players in the AI space. Auto ML, Data Labeling, DevOps, DataOps, Deep Learning, BI Platforms and much more.

Virtual Lounge

Meet and network with 6,500 data scientists and join the most influential Data Science community worldwide. Make lasting professional relationships by being part of this unique community.

Schedule
Speakers

AI Finance

AI Marketing

AI Healthcare

AI Energy

AI Biotech & Pharma

AI Retail

AI Climate

AI Machines

AI Cyber & Fraud

AI Manufacturing

Speakers

With Expo Pass take advantage of 30+ sessions and main ODSC Keynotes. Our Speakers will provide compelling insights on how to make data science and AI work for your industry.

Keynote Speakers
Expo Speakers

Martin Isaksson

CEO & Co-Founder

Simon Asplen-Taylor

Former Chief Data Officer

Jakub Jurovych

Founder and CEO

Ayodele Odubela

Data Science Advocate

Stef Telford

Community Advocate

Lulu Liu, PhD

Data Science Solution Architect

Phoebe Liu, PhD

Senior Data Scientist

John Thomas

Distinguished Engineer & Chief Data Scientist, IBM Data & AI

Ryohei Fujimaki

CEO & Founder

Robert Lundberg

CTO & Co-Founder

Marius Bogoevici

Chief Solutions Architect in the Financial Services

Imad Yassin

Vice President Sales and Commercial Strategy

Mark Benyovszky

Director, Artificial Intelligence Product Management

Gisle Dankel

Performance and Capacity Engineer

Ryohei Fujimaki, PhD

CEO & Founder

Eric Gu

Senior Engineering Manager

Prabhakar Narasimhadevara

Global Director of Data Science

Aaron Cheng, PhD

VP of Data Science

Maxim Lukiyanov, PhD

Principal Product Manager in the Azure AI Platform

Torgil Hellman

Chief Architect

Sadhana Nandakumar

Specialist Solutions Architect

Geeta Chauhan

AI/Pytorch Partner Engineering Head

Antonio Cotroneo

Principal Solutions Engineer

Stavroula Ntoufa, PhD

Head Of Science

Satish Pala

Senior Vice President, Digital Solution

Richard Lewis

Sales Engineer

Bob Foreman

Senior Software Engineer

Dr. Aaron Cheng

VP of Data Science

Rohan Khade

Senior Data Scientist

Hugo Watanuki

Senior Technical Support Engineer

Daniel Gray

VP Solutions Engineering

Aaron Richter, PhD

Senior Data Scientist

Stuart Laurie

Senior Field Engineer,

Schedule
-Tuesday, 30th March
-Wednesday, 31st March
-Tuesday, 30th March
-Wednesday, 31st March
09:00
The Tragedy of the (Data) Commons

Keynote

 

The tragedy of the commons, first proposed by William Lloyd in 1833, is an economic problem in which every individual has an incentive to consume a resource at the expense of every other individual with no way to exclude anyone from consuming. It results in overconsumption, underinvestment, and ultimately depletion of the resource. While the direct application of these principles to data seems like a bit of a reach, it becomes clear that data sharing risks much of the same problem – people wishing to protect their own data while having access to other people’s…more details

The Tragedy of the (Data) Commons image
Prof. James A. Hendler
Director, Institute for Data Exploration and Applications | Rensselaer Polytechnic Institute
09:30
Accelerate AI with the Open Hybrid Cloud

Ai x Keynote

 

Business leaders desire data-driven insights to help improve customer experience. Data engineers, data scientists, and software developers desire a self-service, cloud-like experience to access tools/frameworks, data, and compute resources anywhere to collaborate, build, and scale. This keynote will highlight AI/ML use cases, execution challenges, and tools to help accelerate AI/ML projects from pilot to production, and accelerate delivery of intelligent applications. Finally, the session will share real-world success stories across a number of open source projects led by Red Hat, including Open Data Hubmore details

Accelerate AI with the Open Hybrid Cloud image
Mike Piech
Vice President and General Manager, Cloud Storage and Data Services | Red Hat
09:30
From Data to Decisions: The Important Role of ModelOps

Keynote | MLOps & Data Engineering

 

To be competitive, organizations have to put more models into production more rapidly than ever before. At the same time, data scientists have to ensure trust, repeatability and transparency in those models. ModelOps, a superset of MLOps, gives data scientists the capabilities they need to adapt quickly while maintaining model integritymore details

From Data to Decisions: The Important Role of ModelOps image
Bryan Harris
Executive Vice President and Chief Technology Officer | SAS
From Data to Decisions: The Important Role of ModelOps image
Chris Wright
Senior Vice President and Chief Technology Officer | Red Hat
10:30
Recommending Meals for Millions

Demo Talk

 

DoorDash serves millions of customers and thousands of merchants on the platform. We connect consumers with relevant product offerings through personalization and recommendation. This talk will give a detailed review of our recommendation systems and go through the life cycle of how our recommendations are produced in DoorDash’s platform to empower a tailored experience for our consumersmore details

Recommending Meals for Millions image
Eric Gu
Senior Engineering Manager | DoorDash
11:00
Embracing the Convergence of AI and BI to Make Smarter Data-Driven Decisions at Scale

Demo Talk

 

The accessibility of enterprise AI solutions, combined with the mobility of data managed in the public cloud, dramatically lowers the barriers of applying data science tools to business intelligence programs. This democratization of data science enables predictive and prescriptive analysis to be incorporated directly into business processes and lets organizations make smarter data-driven decisions. Harnessing the potential of this AI/BI convergence can be facilitated by a business semantic layer that simplifies data models and exposes a consistent set of features to AI enginesmore details

Embracing the Convergence of AI and BI to Make Smarter Data-Driven Decisions at Scale image
Daniel Gray
VP Solutions Engineering | AtScale
12:00
Datatron in Action: Take Your Ml Models From Training to Production

Demo Talk

 

In this session, we will demonstrate Datatron in action and show you how our platform solves common challenges in deploying, governing, monitoring models, and managing the ML lifecycle in a centralized model catalog. We will also discuss how Datatron handles the underlying MLOps infrastructure and operations related to security, scalability, and governance. Finally, we will demonstrate the governance dashboard that surfaces metrics such as biases and anomaliesmore details

Datatron in Action: Take Your Ml Models From Training to Production image
Rohan Khade
Senior Data Scientist | Datatron
14:00
Deepnote – a Collaborative Data Science Notebook

Demo Talk

 

Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud.
Long abstract version: Deepnote is a collaborative data science notebook. It’s built on and fully compatible with the Jupyter ecosystem, but to address the key pain points of notebooks, we’ve introduced some significant changes. First, Deepnote is collaborative – it allows for real-time interactions, comments and is easily shareable (just like Google Docs). It is intuitive enough for non-technical users, yet powerful and flexible for data scientistsmore details

Deepnote – a Collaborative Data Science Notebook image
Itto Kornecki
Product Manager | Deepnote
14:00
Jupyter Notebooks for Teams: Best Practices for Quality, Reproducibility, and Collaboration

Demo Talk

 

Jupyter notebooks are a key tool for many data science teams. They allow for rapid prototyping, development, and sharing of results with both technical and non-technical audiences. As a data science team grows, both in terms of individuals and work performed, Jupyter notebooks can become difficult to manage and keep clean. This talk describes several best practices for working with Jupyter notebooks on a data science teammore details

Jupyter Notebooks for Teams: Best Practices for Quality, Reproducibility, and Collaboration image
Aaron Richter, PhD
Senior Data Scientist | Saturn Cloud
14:30
Unlocking the Power of AWS Open Data with OmniSci Free

Demo Talk

 

We’ve all found fascinating big datasets that pique our curiosity and send our imaginations running wild with possibility. But more often than not we have no place to explore the entire corpus of these datasets without dropping some major coin. In this presentation we explore high volume AWS Open Geospatial Data within OmniSci Free, a full-Stack offering that includes OmniSci’s lightning-fast database, rendering engine, and Immerse visual analytics platform that’s free forever upon download...more details

Unlocking the Power of AWS Open Data with OmniSci Free image
Antonio Cotroneo
Principal Solutions Engineer | Omnisci
14:30
The Kit and Kaboodle for Big Data and Data Science

Demo Talk

 

Learn why the truly open source HPCC Systems platform is better at Big Data and offers an end-to-end solution for Developers and Data Scientists. Learn how ECL can empower you to build powerful data queries with ease. HPCC Systems, a comprehensive and dedicated data lake platform makes combining different types of data easier and faster than competing platforms — even data stored in massive, mixed schema data lakes — and it scales very quickly as your data needs growmore details

The Kit and Kaboodle for Big Data and Data Science image
Bob Foreman
Senior Software Engineer | LexisNexis Risk Solutions
The Kit and Kaboodle for Big Data and Data Science image
Hugo Watanuki
Senior Technical Support Engineer | LexisNexis Risk Solutions
15:00
How Does Data Automation Change Working Lives?

Demo Talk | All Levels

 

Technology is not meant to replace humans but to augment the way we work. Productivity and the business’ bottom line remain the priority, but while technology is advancing rapidly, our understanding of workplace happiness and work/life balance is only just starting to catch up. We are beginning to understand that working smart is more valuable than working long hours at a low level, as the repetition and longevity of manual techniques often lead to burnout and human errormore details

How Does Data Automation Change Working Lives? image
Torgil Hellman
Chief Architect | ATEA Sweden AB
How Does Data Automation Change Working Lives? image
Simon Asplen-Taylor
Former Chief Data Officer | Rank Group |Tesco | Cushman & Wakefield
15:30
Fast, Visual, and Explainable ML Modeling With PerceptiLabs

Demo Talk

 

Join our demo where we use image classification and transfer learning to train a model to classify microscopy images. Using PerceptiLabs, a TensorFlow-based visual modeling tool, you’ll see how you can build deep learning models in seconds using pre-built components and get instant visualizations of the workflow which eliminates the need to run the whole model before seeing resultsmore details

Fast, Visual, and Explainable ML Modeling With PerceptiLabs image
Robert Lundberg
CTO and Co-founder | PerceptiLabs
Fast, Visual, and Explainable ML Modeling With PerceptiLabs image
Martin Isaksson
CEO and Co-founder | PerceptiLabs
16:00
AI for Commercial Excellence – A Stanley Black and Decker Perspective

Demo Talk

 

This talk will cover technical challenges related to scaling compute architecture, engineering complexity, modeling approaches, and limitations, challenges of integration of AutoML engines, challenges of architecting for future algorithm inclusion to handle the complexities of product and business model heterogeneity while building a maintainable system future-proofed for business continuitymore details

AI for Commercial Excellence – A Stanley Black and Decker Perspective image
Prabhakar Narasimhadevara
Director of Data Science | Stanley Black & Decker
Select date to see events.

Past Demo Theater Sessions

With Expo Pass take advantage of 30+ sessions. Our partner sessions offer compelling insights on how to make data science and AI work for your industry

  • AI-powered Text Analytics to Drive Customer Centricity – Satish Pala, Senior Vice President  Digital Solutions at Indium Software.

  • MLOps: The Assembly Line of Machine Learning – Jordan Birdsell, Chief ML Architecht at phData

  • Sports Analytics – Leveraging Raw GPS Data for Optimizing Soccer Players’ Performance – Christopher Connelly, Data Scientist at NC State University.

  • The Future of MLOps and How Did We Get Here?- Chris Sterry ,VP of Operations at Dotscience

  • Scaling Production ML Pipelines with Databand – Josh Benamramhris, Co-Founder at Databand

  • Managing Open Source Models just got a lot easier: SAS Open Model Manager® – Marinela Profi, Global Product Marketing Manager at SAS

  • Wenju: A Solution Platform for Enterprise AI – Changfeng Charles Wang Entrepreneur and Expert in AI and Big Data at Futurewei Technologies

  • Accelerating AI Development with Data Science Consulting Teams – Scott Wallace, VP of Sales at SFL Scientific

  • AutoML Vs Fully Automatic: Comparisons between H2O-3 and Driverless AI – Tom Ott Senior Customer Solutions Engineer at H20

  • Using Spark NLP to Enable Real World Evidence (RWE) and Clinical Decision Support in Oncology Veysel Kocaman, PhD Senior Data Scientist John Snow Labs

  • Launch Geospatial Analysis Demo With Open Source Tools – Dongjie Fan, Data Scientist at CARTO

  • Is Your Organization’s Infrastructure Holding Back Your Adoption of AI at Scale? –Nick Patience AI & Machine Learning Research Leader at 451 Research

  • Rapid prototyping ML microservices using Agile – Jose Brache, Solutions Engineer  at Algorithmia

  • Reducing Technical Debt with MLOps and the DataKitchen DataOps Platform – Chris Bergh, CEO and Head Chef at DataKitchen

Virtual AI Expo & Demo Pass

Get access to ODSC AI Expo, 30 Live Demo TalksAi+ Live and On-Demand Training, Main ODSC Keynotes

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Get access to Ai x Summit Business Talks, ODSC AI Expo, 30 Live Demo Talks, Ai+ Live and On-Demand Training, Main ODSC Keynotes and Career Lab.

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WHO SHOULD ATTEND

Our Solution Showcase Expo hall gathers the executives, business professionals, experts, and data scientists transforming the enterprise with Artificial Intelligence

  • CEO, CDO, CIO, CTO and other C-Suite Executives

  • VP of Engineering, R&D, Marketing, Business Development.

  • Product Managers and VP of Product

  • Business Analysts, Data Analyst, Research Analysts, and Marketing Analysts  

  • VP of Engineering, VP of Development, VP of Data

  • IT and Software Managers and Team Leads

  • Software Architects, Engineers and Developers

  • Data Engineers, Database Admins, Data Infrastructure Experts

  • Chief Data Scientist, Chief AI Officers

  • Data Scientists, Statisticians, Predictive Analytics Experts  

  • AI Experts Machine Learning Experts, Deep Learning Experts

  • Data Wranglers, Citizen Data Scientists, Data Architects

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more details - complementary passes

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  • Expo Hall Tutorials
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  • Access to 48 Talks and AI Workshops Session on April 30th to May 1st
  • Invitation to Evening Network Receptions and Special Events
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  • AI Biz 4 Day Pass
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    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
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PAST COMPANY ATTENDEES

  • Abercrombie & Fitch
  • Abbott Laboratories
  • Accenture
  • Adobe Systems
  • AECOM
  • Aetna
  • AIG
  • Air Products & Chemicals
  • Akamai Technologies
  • Alnylam Pharmaceuticals
  • Allstate
  • Amadeus IT Group
  • Amazon.com
  • American Electric Power
  • American Red Cross
  • American Express
  • Ameriprise Financial
  • Amgen
  • Anthem
  • Apple Inc
  • Applied Materials
  • AppNexus
  • Arrow Electronics
  • Aruba, a Hewlett Packard Enterprise company
  • Aspen Technology
  • AT&T
  • Auto-Owners Insurance
  • Avnet
  • Bank of America Merrill Lynch
  • Bayer AG
  • Bentley Systems
  • Best Buy
  • Biogen
  • BlackRock
  • Bloomberg LP

    • Blue Cross Blue Shield
    • BMW AG
    • Boeing
    • Bombay Jewelry Manufacturers
    • Bose
    • Boston Scientific
    • Broadcom
    • Caliber Home Loans, Inc.
    • Capgemini
    • Capital One Financial
    • CarMax
    • CBS
    • Charles Schwab
    • Chevron
    • Cigna
    • Cisco Systems
    • Citigroup
    • Citizens Financial Group
    • Clorox
    • Cloudera Inc
    • CloudFactory
    • Cognizant Technology Solutions
    • Comcast
    • Concur Technoligies
    • Criteo
    • CVS Health
    • Danaher
    • Deere
    • Dell Technologies
    • Discover Financial Services
    • DISH Network
    • Disney
    • eBay
    • Eli Lilly

    • Epam Systems Inc
    • Facebook
    • Fannie Mae
    • Forcepoint
    • Fujitsu America Inc
    • General Electric
    • General Motors
    • Gilead Sciences
    • Google
    • Hartford Financial Services
    • Hewlett Packard Enterprise
    • Hitachi Data Systems
    • Home Depot
    • HP
    • Humana
    • IBM
    • Intel
    • Intercontinental Exchange
    • Ivanti Software
    • JetBlue Airways
    • Johnson & Johnson
    • Jones Lang LaSalle
    • Juniper Networks Inc
    • LexisNexis
    • Liberty Mutual Insurance
    • Xcel Energy
    • XPO Logistics
    • Lockheed Martin
    • MasterCard
    • McAfee
    • McKesson
    • Merck
    • Micro Focus
    • Micron Technology, Inc.
    • Microsoft
    • Mondelez International
    • Monsanto
    • Morgan Stanley
    • Motorola Solutions
    • NetApp
    • Netflix
    • New York Life Insurance
    • Nike
    • Nokia
    • Nordstrom
    • Norfolk Southern
    • Northrop Grumman
    • Nutanix
    • Nvidia
    • Olin
    • OpenTable
    • Oracle
    • PepsiCo
    • Pfizer
    • Philip Morris International
    • Wells Fargo
    • Wyndham Worldwide

      • PVH
      • Qualcomm
      • Raytheon
      • Rockwell Automation
      • S&P Global
      • salesforce.com
      • Samsung Electronics
      • SAP Ariba
      • Seagate Technology
      • Staples
      • Stryker
      • Symantec
      • Synchrony Financial
      • Sysco
      • Target
      • Tesla
      • Thermo Fisher Scientific
      • Uber Technologies
      • United Technologies
      • Univar
      • UPS
      • USAA
      • Verizon
      • Viacom
      • Visa
      • Walmart
      • WellCare Health Plans
      • Yahoo

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