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
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
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
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
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
Data Science in a Data Driven Energy Organisation

Talk | MLOps & Data Engineering | 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-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
Session on Machine Learning by Dr. Shailesh Kumar Coming Soon!

Talk | Machine Learning

 

 

Session on Machine Learning by Dr. Shailesh Kumar Coming Soon! image
Dr. Shailesh Kumar
Chief Data Scientist | Jio
Session on What’s Japan Got To Do with World-Class Success in AI and Data? by Akira Shibata, PhD Coming Soon!

Talk | Big Data & Data Analytics | All Levels

Session on What’s Japan Got To Do with World-Class Success in AI and Data? by Akira Shibata, PhD Coming Soon! image
Akira Shibata, PhD
Renowned Data Scientist and AI Entrepreneur
Session on Introduction to NLP and Topic Modeling by Sunny Kim Coming Soon!

Talk | NLP | Beginner-Intermediate

Session on Introduction to NLP and Topic Modeling by Sunny Kim Coming Soon! image
Sunny Kim
Chief Executive Officer | NLP, AI Specialist | Sunny Mind Inc.
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 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
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
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
Use of Transfer Learning in Image Classification

Workshop | Machine Learning | Intermediate

 

 

Session Abstract Coming Soon!

Use of Transfer Learning in Image Classification image
Vaishali Balaji
Lead Data Scientist | Indium Software
Session on Network Analysis App in Python by Ian Hansel Coming Soon!

Tutorial | MLOps and Data Engineering | Intermediate

 

 

Session on Network Analysis App in Python by Ian Hansel Coming Soon! image
Ian Hansel
Director | Instructor | Verge Labs | General Assembly
Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing

Workshop|  NLP | Machine Learning | Deep Learning | Intermediate-Advanced

 

Session Abstract Coming Soon!

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
Session on Machine Learning with Spark by A M Aditya Coming Soon!

Tutorial | Data Analytics | Machine Learning

Session on Machine Learning with Spark by A M Aditya Coming Soon! image
A M Aditya
Co-Founder | Xaltius
Session on Uncover Hidden Business Insights from Unstructured Data by Dr. Lau Cher Han Coming Soon!

Tutorial | NLP | Beginner-Intermediate

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
Select date to see events.

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!


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info@odsc.com

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