ODSC APAC 2022

We are delighted to announce our past APAC 2022 Schedule!

September 7th-8th, 2022

Please review the prerequisites and slides here

Check the updated schedule information on live.odsc.com (on Agenda)

ODSC APAC Talks, IST (UTC +5:30)
--Wednesday, 7th September
-Thursday, 8th September
ODSC APAC Tutorials&Workshops, IST (UTC +5:30)
--Wednesday, 7th September
-Thursday, 8th September
--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
09:00 - 09:25
ODSC Keynote – The Big Wave of AI at Scale

Keynote | Machine Learning | Big Data Analytics | All Levels

 

In this session we’ll discuss the current trend of increasingly larger AI models, empowering a wider range of tasks in the language, vision, and multi-modality space, with growing levels of capability. We’ll give an overview of the research and engineering efforts supporting the trend, its product and engineering impact at Microsoft, and the implications for other companies…more details

ODSC Keynote – The Big Wave of AI at Scale image
Luis Vargas, PhD
Partner Technical Advisor | Microsoft
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 - 11:25
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
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 - 11:10
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
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
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
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
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
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
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
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.
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
14:40 - 15:25
Talk Session by Mária Kieferová, PhD

Talk

 

Session Abstract Coming Soon!

Talk Session by Mária Kieferová, PhD image
Mária Kieferová, PhD
Sydney Quantum Academy Fellow, a Lecturer | University of Technology Sydney (UTS)
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