ODSC APAC 2022

We are delighted to announce our APAC 2022 Preliminary Schedule!

September 7th-8th, 2022

ODSC APAC Talks
--Wednesday, 7th September
-Thursday, 8th September
ODSC APAC Tutorials&Workshops
--Wednesday, 7th September
-Thursday, 8th September
--Wednesday, 7th September
-Thursday, 8th September
--Wednesday, 7th September
-Thursday, 8th September
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
11:20 - 11:50
Azure Machine Learning with Kubernetes Anywhere

Demo Talk | All Levels

 

Azure Machine Learning Kubernetes extends AzureML service capabilities seamlessly from Azure cloud setting to any infrastructure across on-premises, multicloud, and the edge. As an attached compute target in Azure Machine Learning platform, Kubernetes compute enables you to run training jobs or to deploy models as online/batch endpoint in user-managed Kubernetes cluster anywhere…more details

Azure Machine Learning with Kubernetes Anywhere image
Chenlu Jiao
Product Manager | Microsoft
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
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
Senior Data Scientist | 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
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
12:30 - 13:15
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
12:30 - 13:15
Session on Journey in Building and Deploying Robust & Executable Data Model for COVID-19 Vaccination by Juan Intan Kanggrawan Coming Soon!

Talk | Machine Learning | All Levels

 

Session Abstract Coming Soon!

Session on Journey in Building and Deploying Robust & Executable Data Model for COVID-19 Vaccination by Juan Intan Kanggrawan Coming Soon! image
Juan Intan Kanggrawan
Head of Data & Analytics | Jakarta Smart City
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
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
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
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
Session on Machine Learning by Dr. Shailesh Kumar Coming Soon!

Talk | Machine Learning

 

Session Abstract Coming Soon!

 

 

Session on Machine Learning by Dr. Shailesh Kumar Coming Soon! 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

The Future of AI and Machine Learning image
Hui Xiang Chua
Senior Data Scientist | Data Science Mentor | Dataiku | MentorCruise
14:40 - 15:25
Responsible AI: The New Frontier of Ethics in Technology

Talk | Responsible AI | All Levels

 

In this presentation, I’ll go through more about ethical and responsible AI, why we need it, major concerns to consider, some of the most recent discoveries and how they impact the future of technology…more details

Responsible AI: The New Frontier of Ethics in Technology image
Aruna Pattam
Head, AI & Data Science | HCL Technologies
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
Real-time Data Science Made Easy

Talk | Machine Learning | Deep Learning | All Levels

 

In this talk, we will explore production-quality, real-time data science using the current leading open, real-time technologies:  Kafka, redpanda, ksqlDB, Materialize, and Deephaven Community Core…more details

Real-time Data Science Made Easy image
Chip Kent
Сhief Data Scientist | 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

Monitoring CV Systems: A Unique Solution to a Unique Problem image
Raymond Reed
Customer Success Data Scientist | WhyLabs
15:45 - 16:15
The Hidden Layers of Tech Behind Successful Data Labeling

Demo Talk | All Levels

 

In this session, attendees will learn how iMerit is solving the problem of scaling data pipelines with accuracy using unique technology. Join iMerit’s VP of Product, Glen Ford, as he uncovers the invisible technology building successful data labeling workflows and discovering anomalous and novel classes for customers using iMerit’s Edge Case technology…more details

The Hidden Layers of Tech Behind Successful Data Labeling image
Glen Ford
VP of Product | iMerit
10:40 - 11:40
Session on Network Analysis App in Python by Ian Hansel Coming Soon!

Tutorial | MLOps and Data Engineering | Intermediate

 

Session Abstract Coming Soon!

 

 

Session on Network Analysis App in Python by Ian Hansel Coming Soon! image
Ian Hansel
Director | Instructor | Verge Labs | General Assembly
10:40 - 11:40
Session on Uncover Hidden Business Insights from Unstructured Data by Dr. Lau Cher Han Coming Soon!

Tutorial | NLP | Beginner-Intermediate

 

Session Abstract Coming Soon!

Session on Uncover Hidden Business Insights from Unstructured Data by Dr. Lau Cher Han Coming Soon! image
Dr. Lau Cher Han
CEO, Founder at LEAD | CoronaTracker
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
11:50 - 12:50
Session on Machine Learning with Spark by A M Aditya Coming Soon!

Tutorial | Big Data & Data Analytics | Machine Learning | Beginner-Intermediate

 

Session Abstract Coming Soon!

 

Session on Machine Learning with Spark by A M Aditya Coming Soon! image
A M Aditya
Co-Founder | Xaltius
13:30 - 14:30
Key Design Principles for the Modern Data Engineering Stack

Workshop | MLOps & Data Engineering | Intermediate

 

In this talk, I take you through key design principles to think about when designing your data platform. I use a data platform design pattern that I have implemented for Blike, a FinTech startup specialising in cycle-to-work schemes, to demonstrate that less is more…more details

Key Design Principles for the Modern Data Engineering Stack image
Jonathan Neo
Analytics Engineer | Founder | Principal Data Engineer | Canva | Data Engineer Camp | Blike
13:30 - 14:30
Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing

Workshop|  NLP | Intermediate-Advanced

 

Being specialized in domains like computer vision and natural language processing is no longer a luxury but a necessity which is expected of any data scientist in today’s fast-paced world! With a hands-on and interactive approach, we will understand essential concepts in NLP along with extensive hands-on examples to master state-of-the-art tools, techniques and methodologies for actually applying NLP to solve real-world problems. We will specifically be focusing on deep learning and deep transfer learning models to learn and solve popular tasks using NLP including NER, Classification, Search / Information Retrieval, Summarization, Classification, Language Translation, Q&A systems…more details

Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing image
Dipanjan (DJ) Sarkar
Lead Data Scientist / Google Developer Expert - ML | SIT Academy, Zurich
14:40 - 15:40
Use of Transfer Learning in Computer Vision

Tutorial | Machine Learning | Beginner-Intermediate

 

This session focuses on transfer learning and it’s uses in various computer vision applications. The attendees would get an overall understanding of the difficulties in training a CNN model from scratch, use of transfer learning techniques and pre-trained models…more details

Use of Transfer Learning in Computer Vision image
Vaishali Balaji
Lead Data Scientist | Indium Software
14:40 - 15:40
Interpretable AI : Making Black Box Models Explainable

Tutorial | Machine Learning | Responsible Ai | Intermediate-Advanced

 

 

The wider goal of Ai is to gain knowledge, but many problems are solved with big datasets and black-box machine learning models. The model itself becomes the source of knowledge instead of the data. Interpretability makes it possible to extract this additional knowledge captured by the model. Humans most of the time usually do not ask why a certain prediction was made, but why this prediction was made instead of another prediction. We tend to think in counterfactual cases, i.e. “How would the prediction have been if input X had been different?”. For a house price prediction, the house owner might be interested in why the predicted price was high compared to the lower price they had expected. If my loan application is rejected, I do not care to hear all the factors that generally speak for or against a rejection. I am interested in the factors in my application that would need to change to get the loan. I want to know the contrast between my application and the would-be-accepted version of my application…more details

Interpretable AI : Making Black Box Models Explainable image
Jeetendra Kumar Sharma
Manager - Data Science | United Airlines
15:50 - 16:50
Route Optimization using Reinforcement Learning and Metaheuristics

Workshop | Deep Learning | MLOps & Data Engineering | Intermediate-Advanced

 

 

The current era is driven by eCommerce platforms and the COVID pandemic gave rise to the need for home delivery. The end consumers have multiple options to cater for their needs and in that case, the eCommerce platforms have to provide on-time and quality delivery to stay ahead in the market and at the same time boost their profit margins. Route Optimization is one of the most critical aspects of planning and transportation as it ensures that deliveries always arrive on time and carry out the same with the lowest possible cost and energy consumption. However, there are a lot of variables that eCommerce platforms need to consider in a real-time scenario…more details

Route Optimization using Reinforcement Learning and Metaheuristics image
Ravi Ranjan
Ravi Ranjan | Publicis Sapient
Route Optimization using Reinforcement Learning and Metaheuristics image
Sushant Burnawal
Senior Associate Data Science L1 | Publicis Sapient
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See our Program Summary for an Event Overview
Program Summary

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How It Works

  • Virtual conference experience includes networking lounge area, speaker auditorium, expo halls, and prizes

  • Access multiple Livestream tracks on Wednesday, Thursday

  • Switch between sessions or tracks as your interests dictate

  • Multiple focus areas including deep learning, machine learning, NLP, research frontiers, AI X for business, and more

  • Sessions you missed can be viewed on demand at your leisure

  • Engage virtually with fellow attendees, speakers, and Expo partners

  • Participate in Q&A sessions with your speaker over live chat

  • Directly download slides and other session materials

  • (Training only) Access training and workshops prerequisites, notebooks, and other materials prior to training session starting

  • (Training only) Access hands-on training and workshops with instructor-led code labs and notebooks.

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!