ODSC APAC 2023 | VIRTUAL CONFERENCE

AI EXPO & DEMO HALL

AI Solutions Showcase l Networking

meet our 2022 partners
Register your Interest
Product Demos
Partners
Networking Events
Attendees

Learn how to Build AI Better

Want to keep up with the latest AI developments, trends, and insights? Dealing with the build or buy dilemma to grow your business? Seeking to interact with data-obsessed peers and build your network? 

Look no further: The ODSC AI Expo & Demo Hall is the right destination for you

Keynotes

 We will have some of the best and brightest minds speaking at ODSC APAC 2022. Attend keynotes talks presented by a line-up of visionaries and thought leaders in industry, research and academia.

Product Demo Talks

Attend 40+ sessions on AI for the Enterprise; AI for Finance, AI for Healthcare and much more to understand the various AI adoption pathways in detail and pros and cons of build vs buy decisions.

AI Solutions

Visit our partners’ booths to learn about 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.

Networking

Meet and network with over 4,500 data science and AI experts and join the most influential Data Science community worldwide. Make lasting professional relationships by being part of this unique community.

Expo Speakers
Register your Interest

Expo Hall Topics

Partner sessions offer compelling insights on how to make data science and AI work for your industry. Here are some of the topics you can expect at AI Expo & Demo Hall. The full agenda is coming soon.

Machine Learning & Deep Learning Platforms

MLOps & Data Infrastructure

Data Annotation & Data Labeling

Data Analytics & Decision Intelligence Systems

Machine Learning on the Cloud & Big Data

Visionaries and Thought Leaders

With an AI Expo Pass, you can take advantage of 15+ demo sessions and ODSC Keynotes. Our Speakers will provide compelling insights on how to make data science and AI work for your industry. 

Past Keynote Speakers

No members found

Featured Expo Speakers


AI Expo & Demo Hall Schedule

APAC AI Expo Schedule, IST (UTC +5:30)
--Wednesday, 7th September
-Thursday, 8th September
--Wednesday, 7th September
-Thursday, 8th September
09:00 - 09:25
ODSC Keynote – From Collected Data to Connected Data: The Evolution of The Graph Data Platform

Keynote | Machine Learning | Big Data Analytics | All Levels

 

Session Abstract Coming Soon!

ODSC Keynote – From Collected Data to Connected Data: The Evolution of The Graph Data Platform image
Dr. Jim Webber
Chief Scientist | Neo4j
09:30 - 09:55
ODSC Keynote – Bridging the Gap Between Data Scientists and Decision Makers

Keynote | Machine Learning | All Levels

 

Everyone seeks to be understood. Whether at home or in the workplace, this is a central part of the human experience. From speaking with hundreds of data scientists, I find that many of them don’t feel like their work is understood by the decision makers at their organizations. When speaking with IT decision makers, I get the same feeling. Many of them feel like they have highly qualified teams, but their data scientists don’t quite get the business. In this keynote we debunk the common assumptions of both data scientists and ITDMs so they can get the most out of their roles…more details

ODSC Keynote – Bridging the Gap Between Data Scientists and Decision Makers image
Ken Jee
Head of Data Science at Scouts Consulting Group LLC, Z by HP Global Data Science Ambassador
09:30
ODSC Keynote – Synthetic Data Generation as a Support for Open Data

Keynote | Machine Learning | Big Data Analytics | All Levels

 

In this presentation, we will present an overview of a modern class of techniques that are suitable for generating synthetic tabular data. We will focus in particular on deep generative models that can fit complex probability distributions and efficiently generate samples to construct synthetic datasets. We will discuss a variety of deep generative models, how their output can ensure privacy and how to assess the fidelity of the synthetic samples…more details

ODSC Keynote – Synthetic Data Generation as a Support for Open Data image
Kerrie Mengersen, PhD
Distinguished Professor, Statistics | Director | Queensland Technology University | QUT Centre for Data Science
10:00 - 10:30
ODSC Keynote – Responsible Business AI

Keynote | Responsible AI | All Levels

 

Session Abstract Coming Soon!

ODSC Keynote – Responsible Business AI image
Mary-Anne Williams, PhD
Michael J Crouch Chair in Innovation | UNSW Business School
10:40 - 11:10
Introduction to WSL2 for Data Science with Z by HP

Demo Talk | Machine Learning | All Levels

 

This introductory session aims to provide answers to these questions, get you introduced to WSL2 and get you started by configuring your machine and running your first code…more details

Introduction to WSL2 for Data Science with Z by HP image
Chanran Kim
South Korea - Z by HP Global Data Science Ambassador and AI Research Development at NCSOFT
10:40 - 11:25
MLOps for Musicians

Talk | Big Data & Data Analytics | All Focus Areas | All Levels

 

How far can we take democratization of data and AI? As an eccentric progression of my quest to answer this question, I currently work at Qosmo, Inc. whose mission is to advance human creativity with AI. In this talk I will talk about AI for music. In recent years, there has been some remarkable progresses in AI for music and I will cover these developments in summary of the recent white paper I published. It may not be a surprise to find out that musicians are not the most technical users. We therefore released Neutone, an AI audio plugin & community, in the aim of bridging the gap between AI research and musical creativity…more details

MLOps for Musicians image
Akira Shibata, PhD
COO | Board Member | Qosmo | Estyle
10:40 - 11:25
Big Data and Artificial Intelligence – Driving Personalised Medicine of the Future

Talk | Big Data Analytics | Machine Learning | Intermediate

 

In this talk, Fatemeh overviews the main themes in her research program from minimally-invasive biomarker discovery for personalised medicine and single-cell sequencing data analysis to computational drug repositioning and network pharmacology. Across all themes, Dr Vafaee’s research heavily relies on multidisciplinary expertise and cross-faculty collaborations to generate translatable outcomes impacting upon biomedicine of the future…more details

Big Data and Artificial Intelligence – Driving Personalised Medicine of the Future image
Dr. Fatemeh Vafaee
Deputy Director, Senior Lecturer, Founder | UNSW Data Science Hub | University of New South Wales | OmniOmics.AI Pty Ltd
10:40 - 11:25
Data Science Innovation with Z by HP Workstations, Remote Collaboration and Software Stack

Talk | MLOps & Data Engineering | All Levels

 

Z by HP is bringing exceptional technology -both hardware and software- to data scientists, analysts, and creatives that is built for the demands of heavy data processing workloads, right out of the box. With Z laptops, desktops, or rack-mounted data science computers, you get high-performance computers that complement your cloud infrastructure, reduce latency of heavy workloads, make collaboration more efficient, and secure your data end to end…more details

Data Science Innovation with Z by HP Workstations, Remote Collaboration and Software Stack image
Prerna Daga
Data Science Business Development Manager India at HP
Data Science Innovation with Z by HP Workstations, Remote Collaboration and Software Stack image
Ruchi Bhatia
Z by HP Global Data Science Ambassador | Lead Data Scientist @ OpenMined
Data Science Innovation with Z by HP Workstations, Remote Collaboration and Software Stack image
Paras Varshney
Z by HP Global Data Science Ambassador | Data Scientist @ LogicAI
11:20 - 11:50
“Azure Container for PyTorch”: An Optimized Container for Large Scale Distributed Training Workloads

Demo Talk | All Levels

 

In this talk, we discuss the contents of the PyTorch on Azure container and share the results seen by early adopters. In addition, we will show demos of how you can get started with the container and how to use the Microsoft acceleration technologies it comes with…more details

“Azure Container for PyTorch”: An Optimized Container for Large Scale Distributed Training Workloads image
Parinita Rahi
Principal PM Lead | Microsoft
“Azure Container for PyTorch”: An Optimized Container for Large Scale Distributed Training Workloads image
Jambay Kinley
Software Engineer in Azure AI Platform organization | Microsoft
11:35 - 12:20
Key Performance Indicators, Visualisation Techniques and Interpretability for ETA (Estimated Time of Arrival) Prediction Models

Talk | Machine Learning | Big Data Analytics | Intermediate

 

Apart from the performance , interpretability part kicks in when there is a change in the prediction by model in between the journey of an object. The most anticipated and important question is “What are the reasons the prediction was changed from x to y in the middle of the journey?”. Not able to provide reasons and answers to the questions above could easily lead to loss of trust in the system. In this talk, you will learn about different KPIs, visualisation techniques that can capture the behaviour of ETA models. We will also walk through why it is important to have interpretable model by design to be able to answer some of the questions…more details

Key Performance Indicators, Visualisation Techniques and Interpretability for ETA (Estimated Time of Arrival) Prediction Models image
Urvesh Devani
Head of Data Science | Portcast.io
Key Performance Indicators, Visualisation Techniques and Interpretability for ETA (Estimated Time of Arrival) Prediction Models image
Ghassen Chniti
Senior Data Scientist | Portcast.io
11:35 - 12:20
Responsible AI Starts with Responsible Design

Talk | Responsible Ai | Intermediate

 

 

The desire to embody Responsible AI practices requires an understanding of, the context around, and the impact on the end user. To achieve this, design and research are just as pivotal to the RAI conversation as ML. There is no bigger risk, and no greater irresponsibility, than to not interface with those who will be affected by your design. In this talk, Bujuanes Livermore will share how she navigates customer relationships to encourage end user contact and how this process can help mitigate assumptions and therefore risk. She will also recommend next steps for when that first conversation meets with too much resistance, as well as how to navigate those waters effectively and professionally through designing experiments and highlighting risks in an assumptions grid. Learn some of the lessons and ‘stealth mode’ tactics in designing that conversation with the client from one of the leaders in the field, the Head of Research & Design in Data, Intelligence & Design at Microsoft with over 15 years of experience…more details

Responsible AI Starts with Responsible Design image
Bujuanes Livermore
Global Head of Research & Design for Human Experiences with AI | Microsoft
11:35 - 12:20
Annotated Data: The Bedrock of Successful AI Deployments

Talk | Machine Learning | Deep Learning | All Levels

 

In this talk, I am going to highlight some of the best practices around data annotation and ML DataOps that help companies quickly develop, deploy and continuously update their ML models…more details

Annotated Data: The Bedrock of Successful AI Deployments image
Sudeep George
Vice President of Engineering | iMerit
11:35 - 12:20
Generating Product Descriptions and Answers for Customer Queries on E-commerce Platforms

Talk | NLP | Machine Learning | Intermediate

 

In this talk, I will present two applications on one of the most popular e-commerce platforms: Amazon. We will first look at generating product descriptions, and show how we train a multimodal model that takes product images and metadata as input to generate descriptions for 23 product types. Although we found that the generated descriptions are fluent and persuasive, they are not always faithful (i.e. the details are not real)…more details

Generating Product Descriptions and Answers for Customer Queries on E-commerce Platforms image
Dr. Jey Han Lau
Professor | University of Melbourne
11:50 - 12:50
Microsoft’s Accelerator for MLOps

Workshop | MLOps & Data Engineering | Machine Learning | All Levels

 

MLOps means different things to different people, however, the fundamental essence of MLOps is to deliver models into productions faster with a consistent, repeatable and reliable approach. Based on our experience of working with various large and small customers across the world, Microsoft has developed an accelerator to do exactly what the word suggests – accelerate our customer’s journey to production. Simplicity and segregation of duties are key pillars of this accelerator, which means that our intention is that Data Scientists, ML Engineers and IT teams don’t need significant upskilling before they can do MLOps…more details

Microsoft’s Accelerator for MLOps image
Setu Chokshi
Senior Cloud Solution Architect | Microsoft
12:00 - 12:30
Leveraging HPCC Systems Platform for Machine Learning Applications

Demo Talk

 

In this session, we will be walking through the way that RVCE-HPCC Systems Centre of Excellence on Cognitive Intelligent Systems for Sustainable solutions have leveraged HPCC Systems for Big Data analysis. Demonstration and visualization of few applications such as Analysis of corvid 19 data, Analysis, Classification of Surface water will be showcased for the audience to understand various components involved in the architecture of HPCC Systems. We intend to discuss the comparison with other distributed platforms such as Hadoop to show the applicability of HPCC Systems platform to solve big data problems…more details

Leveraging HPCC Systems Platform for Machine Learning Applications image
Dr. G Shobha
Professor | R.V College of Engineering
Leveraging HPCC Systems Platform for Machine Learning Applications image
Prof. Jyoti Shetty
Assistant Professor | R.V College of Engineering
12:00 - 12:30
Turning your Data/AI Algorithms into full web apps in no time with Taipy

Demo Talk | MLOps & Data Engineering | All Levels

 

In this talk, we will demonstrate how:

Taipy-GUI goes way beyond the capabilities of the standard graphical stack: Gradio, Streamlit, Dash, etc.

Taipy Core is simpler yet more powerful than the standard Python back-end stack: Airflow, MLFlow, Luigi, etc.

more details

Turning your Data/AI Algorithms into full web apps in no time with Taipy image
Vincent Gosselin
Co-Founder & CEO | Avaiga
12:30 - 13:15
Data-efficient Active Testing of Machine Learning Models

Talk | MLOps & Data Engineering | All Levels

 

 

Machine learning models are being deployed extensively in many important areas to assist humans in making important decisions. But there is no guarantee a model will always perform well after deployment as its developers intended. Understanding the correctness of a model is thus crucial to prevent potential failures that may have a significant detrimental impact in critical application areas. In this talk, I will discuss the challenges we face to ensure the correctness of deployed machine learning models and introduce some works on how to efficiently test a machine learning model using only a small amount of labelled test data.

Data-efficient Active Testing of Machine Learning Models image
Dr. Huong Ha
Lecturer at the Artificial Intelligence Discipline, School of Computing Technologies | RMIT University
12:30 - 13:15
Data Science in a Data Driven Energy Organisation

Talk | MLOps & Data Engineering | Big Data Analytics | Beginner

 

 

In this talk, we will demonstrate how we process our Big Data, gain insights of our Smart Grid and Innovation applications, how we do detect faults from smart meter power quality data and meter channel alerts that resulted in reducing shock incidents in our network, how we automate monitoring of customer sites for immediate hazard detection, how we balance the grid from distributed energy resource management system, and how we automate fault detection analytics and jobs dispatch with no human intervention…more details

Data Science in a Data Driven Energy Organisation image
Thilaksha Silva, PhD
Senior Data Scientist | CitiPower, Powercor & United Energy
Data Science in a Data Driven Energy Organisation image
Shashank Kundapur
Software Developer | Operational Technology Solutions Pty Ltd
12:30 - 13:15
Analyzing Blockchain Data to Detect Illicit Transactions made Using Bitcoin

Talk | Machine Learning | Deep Learning | All Levels

 

In this talk Rohan will take you through how clustering and transaction times series fingerprinting can give insights into the underlying transaction behaviour of users and help find the criminals utilizing the bitcoin network for illicit activities..more details

Analyzing Blockchain Data to Detect Illicit Transactions made Using Bitcoin image
Rohan Maheshwari
Student | RV College of Engineering
12:30 - 13:15
Video Analytics & Image Processing Implementation at Jakarta Smart City’s Citizen Response Management Solution

Talk | Machine Learning | Beginner

 

In this session, we will learn about specific video analytics & image processing impactful use cases. Jakarta Smart City has been closely collaborating with several key organizations such as agency of transportation, transportation operators (MRT, LRT, train, BRT), police force, etc…more details

Video Analytics & Image Processing Implementation at Jakarta Smart City’s Citizen Response Management Solution image
Juan Intan Kanggrawan
Head of Data & Analytics | Jakarta Smart City
13:45 - 14:30
Towards Reasoning based Conversation Systems

Talk | NLP | Machine Learning | All Levels

 

In this talk we “organize” chatbots across a “spectrum of sophistication” and present as case-studies two examples of next generation reasoning based chatbots. First a higher order question answering (level 4) chatbot (that goes beyond factoid question answering) that we believe is one of the keys to artificial general intelligence. Second, a (level 7) Diagnosis chatbot that can mimic a doctor’s differential diagnosis conversation that infers, with a very high precision and recall, the potential diseases given the symptoms of a patient while via a series of follow-up questions…more details

 

 

Towards Reasoning based Conversation Systems image
Dr. Shailesh Kumar
Chief Data Scientist | Jio
13:45 - 14:30
Explainable Machine Learning – A Human Centric Perspective

Talk | Responsible Ai | Beginner-Intermediate

 

 

Machine Learning and AI models are often considered as black boxes, and the lack of transparency in the working of these models lead to lack of trust and adoption. In order to promote end user trust Explainable AI (XAI) and model explainability techniques like LIME, SHAP are widely used. But are these methods really human friendly? Do we have any existing method or framework that can provide explainability to non-technical users? How can we use XAI to bridge the gap between AI and end users to promote AI adoption?…more details

Explainable Machine Learning – A Human Centric Perspective image
Aditya Bhattacharya
Explainable AI Researcher | KU Leuven
13:45 - 14:30
Sentiment Analysis and Aspect-based SA and Beyond

Talk | NLP | Machine Learning | Intermediate

 

This talk is for those who want to learn the introduction of sentiment analysis task and its different model choices to implement it. By listening this talk, you will become familiar and comfortable with the sentiment analysis and its different methodological approaches. Plus, I will bring up more advanced topics in this area such as issues and challenges in sentiment analysis or Aspect-based Sentiment Analysis (ABSA)…more details

Sentiment Analysis and Aspect-based SA and Beyond image
Sunny Kim
Chief Executive Officer | NLP, AI Specialist | Sunny Mind Inc.
14:40 - 15:25
The Future of AI and Machine Learning

Talk | Machine Learning | All Focus Areas | All Levels

 

As Gartner notes in the “State of Data Science and Machine Learning” report, DSML platforms are now addressing two growing and equally important markets: (i) A ‘multipersona’ market with a central focus on time to value, ease of use, and collaboration between multiple technical and nontechnical personas, and (ii) an ‘engineering’ market focused on primarily technical personas whose primary aim is to engineer (design, develop, deploy, monitor, and maintain) scalable, enterprise-wide AI solutions…more details

The Future of AI and Machine Learning image
Hui Xiang Chua
Senior Data Scientist | Data Science Mentor | Dataiku | MentorCruise
15:05 - 15:35
Real-time Analytics, AI&Apps with Deephaven Data Labs

Demo Talk | All Levels

 

This demonstration of Deephaven will show you how to: 1. Launch Deephaven from Jupyter and your Python IDE. 2. Access and manipulate Kafka and Parquet with just a few lines of code. 3. Filter, aggregate, join, select, and project ticking, updating tables in real-time. 4. Create and interact with table and plot widgets in web dashboards and Jupyter. 5. Integrate Deephaven with matplotlib, PyTorch, and other popular tools.

Real-time Analytics, AI&Apps with Deephaven Data Labs image
Pete Goddard
CEO | Deephaven Data Labs
15:35 - 16:20
Image Generation with GANs

Talk | Deep Learning| Intermediate

 

This talk will introduce you to the world of Generative Models through the GAN lens. We will discuss how a simple game of adversaries leads to such powerful models. We will cover the evolution and advancement in the architecture of GANs along with some exciting use-cases. Towards the end we will go through a quick hands-on to generate images with GANs ourselves…more details

Image Generation with GANs image
Raghav Bali
Staff Data Scientist | Delivery Hero (Berlin)
15:35 - 16:20
Using Augmented Reality, Machine Vision & Deep Learning for Solving Supply Chain Problems

Talk | Deep Learning | Intermediate

 

 

The Fourth Industrial Revolution (Industry 4.0) is the ongoing automation of traditional manufacturing and industrial practices, using modern smart technology. Large-scale machine-to-machine communication (M2M), the internet of things (IoT), Augmented Reality, Machine Vision, and Deep Learning are integrated for increased automation, improved communication and self-monitoring, and the production of smart machines that can analyze and diagnose issues. Designing a humanless system sometimes poses the biggest risk if something goes wrong. This is where Augmented Reality will add the human into the automation loop in the world of Automation…more details

Using Augmented Reality,  Machine Vision & Deep Learning for Solving Supply Chain Problems image
Deepak NagarajeGowda
Senior Principal Data Scientist | Dell Technologies
15:35 - 16:20
Monitoring CV Systems: A Unique Solution to a Unique Problem

Talk | MLOps & Data Engineering | Intermediate

 

 

In this talk, Ray Reed will explore the plethora of problems impacting data and model health for computer vision systems specifically, and construct an approach for detecting, debugging, and reacting to these issues at scale. In the case of tabular data, powerful monitoring capabilities can be achieved by collecting telemetric data such as missing value ratios, cardinality of discrete features, descriptive statistics, etc. For image and video data, however, metrics of interest must be derived…more details