ODSC APAC 2021

APAC Session Schedule

 

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APAC Workshops & Training – IST (UTC +5:30)
--Wednesday, 15th September
-Thursday, 16th September
APAC Talks – IST (UTC +5:30)
--Wednesday, 15th September
-Thursday, 16th September
--Wednesday, 15th September
-Thursday, 16th September
--Wednesday, 15th September
-Thursday, 16th September
10:00 - 13:00
Data Science and Machine Learning at Scale

Half-Day Training | Data Analytics

In this training, you’ll learn everything you wanted to know about scaling your data science work to larger datasets and larger models, while staying in the comfort of the PyData ecosystem (numpy, pandas, scikit-learn, Jupyter notebooks)more details

Data Science and Machine Learning at Scale image
Pavithra Eswaramoorthy
Data Science Evangelist | Coiled
10:00 - 11:30
On Human-like Performance Artificial Intelligence through Causal Learning: A Demonstration Using an Atari Game

Tutorial | Machine Learning

 

In this talk, attendees will learn about a new technique and direction of research in AI that is just beginning to be explored, but has important future applications. Notably, AI and robotic systems need to learn rapidly in a fast-changing environment, and learning of causality rapidly, is key. Current techniques such as deep learning and deep reinforcement learning require too much data and time for learning for any practical AI and robotic system to be possible…more details

On Human-like Performance Artificial Intelligence through Causal Learning: A Demonstration Using an Atari Game image
Seng-Beng Ho, PhD
Sr. Scientist & Deputy Dir., Dpt. of Social and Cognitive Computing | Institute of High Performance Computing, Agency for Science, Technology & Research
10:05 - 13:05
Using Fast.AI with Transfer Learning to Build Fine-grained Sentiment Analysis

Half-Day Training | NLP | Intermediate

 

In this training, we will showcase how to apply transfer learning to create fine-grained sentiment analysis with the fastai and transformers library…more details

Using Fast.AI with Transfer Learning to Build Fine-grained Sentiment Analysis image
David Kong
Product Director | Heicoders Academy
10:05 - 11:35
Analytics Auditing: Avoiding the Pitfalls of Data Science

Workshop | Deep Learning | Data Analytics | All Levels

 

Statistical modelling is an error-prone endeavour. Mistakes are easy to make and hard to detect. For over a decade now, Michael Brand has been running regular peer reviews for data science projects, and almost without exception these reviews brought to light serious issues that required major revision to the analysis.

In this interactive tutorial aimed at data scientists of all verticals and experience levels, Michael steps through some of his own real world past reviews, demonstrating to participants how to run such analytics peer reviews on their own, and the range of blunders that they can expect to uncover…more details

Analytics Auditing: Avoiding the Pitfalls of Data Science image
Dr. Michael Brand
Founder | Adjunct Associate Professor at Otzma Analytics | Monash University
10:05 - 11:35
Scaled-Down Package: Open-Source Neural Network Optimisation Framework for TinyML Devices

Workshop | Deep Learning

 

TinyML Devices like Arduino’s and Raspberry Pi’s are resource-constrained. This means that they are usually small and battery-powered and have low computation power and memory. Deploying modern neural network models on such devices is next to impossible due to how large they are both in terms of memory and the number of operations needs to execute them. This means that to deploy NNs on TinyML devices, we need to optimize them and scale them down. There are many such algorithms, but the tools landscape is fragmented with different frameworks supporting different algorithms and only on their models. Moreover, they only support few algorithms and not the latest, better performing algorithms. Scaledown is attempting to bridge that gap and build a framework that helps you take models trained in any framework, optimize it using the latest algorithms, and then deploy it to TinyML devices…more details

Scaled-Down Package: Open-Source Neural Network Optimisation Framework for TinyML Devices image
Archana Vaidheeswaran
Artificial Intelligence Engineer | Leadership Fellow | Continental | Women Who Code
10:05 - 11:35
How to do NLP When You Don’t Have a Labeled Dataset?

Tutorial | NLP | Machine Learning | Beginner-Intermediate

 

In this workshop, I will introduce some strategies to create labeled datasets for a new task and build your first models with that data. At the end of this session, the participants are expected to get some ideas for solving the data bottleneck in their organization. The target audience are data scientists as well as those involved in requirements gathering for a given NLP problem…more details

How to do NLP When You Don’t Have a Labeled Dataset? image
Sowmya Vajjala, PhD
Research Officer, Digital Technologies | National Research Council
10:05 - 11:35
The Secret Ingredients to Train DeepFakes

Workshop | Deep Learning | Intermediate

 

By completing this workshop, you will develop an understanding of the deepfakes landscape and deepfakes workflow along with hands-on guide to train a very basic deepfake setup of your own…more details

The Secret Ingredients to Train DeepFakes image
Raghav Bali
Staff Data Scientist | Delivery Hero
11:35 - 13:05
Deep Reinforcement Learning based RecSys using distributed Q-table

Tutorial | Deep Learning | Intermediate-Advanced

 

The classical approaches for RecSys are not enough efficient in capturing the dynamic behaviour of customer actions and purchase patterns. We propose the multiple/distributed Q table approaches which can deal with large state-action space and that aides in actualising the Q learning algorithm in the recommendation and huge state-action space…more details

Deep Reinforcement Learning based RecSys using distributed Q-table image
Ravi Ranjan
Senior Data Scientist | Publicis Sapient
11:35 - 13:05
NLP in Ecommerce

Tutorial | NLP | Intermediate

 

This tutorial will cover an overview of different areas of using NLP in ecommerce. Specifically we will drill down to sentiment analysis of reviews and attribute extraction. We can cover a brief introduction to different types of sentiment analysis. We will delve deep into a ‘Amazon Reviews’ dataset. We will see how we can solve it using unsupervised and supervised techniques. We will also cover key techniques of attribute extraction…more details

NLP in Ecommerce image
Mathangi Sri
Head of Data - GoFood | Gojek
11:40 - 13:10
Analytics Life Cycle: Orchestrating Data, Discovery and Deployment

Workshop | Data Analytics | All Levels

 

This session presents the way forward through a unified analytics platform – because a true analytics platform helps organizations orchestrate the journey from data to tangible results. The session attempts at delivering the possibilities to address and connect each phase in what is called the Analytics Life Cycle…more details

Analytics Life Cycle: Orchestrating Data, Discovery and Deployment image
Dr. Sunil Bhardwaj
Senior Analytics Consultant - Education | SAS India
11:40 - 13:10
BERT and Beyond — Language Modeling with Pytorch

Workshop | NLP | Intermediate

 

In this workshop, you will learn how to carry out BERT fine-tuning for various downstream NLP tasks using Pytorch. We will review the state-of-the-art in NLP and identify drawbacks of traditional approaches. We will go beyond the vanilla BERT architecture and extend its application to longer texts and documents…more details

BERT and Beyond — Language Modeling with Pytorch image
Chaine San Buenaventura
Co-founder | Voilabs
11:40 - 13:10
Neuro-Symbolic Artificial Intelligence: A Brief Tutorial

Tutorial | Deep Learning

 

In this introductory tutorial, we briefly present some of this literature in the context of (1) augmenting neural models by incorporating additional symbolic knowledge, (2) designing neural models for solving symbolic reasoning problems, and, (3) neuro-symbolic architectures for solving perceptual-reasoning tasks…more details

Neuro-Symbolic Artificial Intelligence: A Brief Tutorial image
Mausam, PhD
Founding Head | Professor, Department of Computer Science and Engineering | ScAI (School of Artificial Intelligence) | Indian Institute of Technology Delhi
Neuro-Symbolic Artificial Intelligence: A Brief Tutorial image
Yatin Nandwani
Ph.D. Scholar | Indian Institute of Technology, Delhi
13:25 - 14:55
Stitching Open Source Components Together to Build an End to End Computer Vision Platform at Your Enterprise

Workshop | Deep Learning | All Levels

 

There are multiple components that go into building an end-to-end solution for Computer Vision. All these are already available as open-source projects but are disparate and require an expert to leverage them well. This tutorial aims to bring together all such components and make them work together as we build and end-to-end pipeline which the audience can use for their organization’s Computer Vision related projects…more details

Stitching Open Source Components Together to Build an End to End Computer Vision Platform at Your Enterprise image
Kishore Ayyadevara
Author of Modern Computer Vision with PyTorch
Stitching Open Source Components Together to Build an End to End Computer Vision Platform at Your Enterprise image
Yeshwanth Reddy
Co-Author of Modern Computer Vision with PyTorch
Stitching Open Source Components Together to Build an End to End Computer Vision Platform at Your Enterprise image
Nilav Ghosh
Computer Vision expert
13:25 - 14:55
Building a Lakehouse with Delta Lake and PySpark

Workshop | MLOps and Data Engineering | Beginner-Intermediate

 

In this session, participants will learn: 1. The core components of the Lakehouse architecture 2. Understand how Delta Lake and Spark supports the Lakehouse architecture 3. Perform end-to-end batch and streaming data ingestion to Delta Lake…more details

Building a Lakehouse with Delta Lake and PySpark image
Jonathan Neo
Analytics Engineer | Founder | Principal Data Engineer | Canva | Data Engineer Camp | Blike
13:25 - 14:55
A Journey from LSTM to Transformers

Workshop | NLP | Intermediate

 

We will take you on an NLP journey, starting from Long Short Term Memory (LSTM) networks to Transformers, filling every gap on the way. We will work on the Grammatical Error Correction dataset, and explore both theoretical and practical aspects of this journey…more details

A Journey from LSTM to Transformers image
Eram Munawwar
Lead Data Scientist | Tokopedia
13:25 - 14:55
Harnessing AI and Knowledge graphs to Activate Knowledge Discovery in Enterprises

Tutorial | Data Analytics

 

This tutorial starts with explaining the bottlenecks in human cognition, what it means to be expert, and how KGs can scale human expertise. Then it goes in describing how these specialised KGs can be defined and implemented, citing examples from specialised domains such as drug discovery to equipment maintenance…more details

Harnessing AI and Knowledge graphs to Activate Knowledge Discovery in Enterprises image
Manprit Singh
Data, AI CTO | Avanade
13:35 - 16:35
Supervised Machine Learning using Python

Half-Day Training | Machine Learning | Intermediate

 

In this session, participants will be briefed about Machine learning and it’s types. They will also get to know about the supervised machine learning techniques such as classification and regression and will be given hands on experience in building both the classification and regression models using Python programming language. They will learn how to choose, build and evaluate supervised machine learning models using Python for real-world business problems…more details

Supervised Machine Learning using Python image
Vaishali Balaji
Lead Data Scientist | Indium Software
13:35 - 16:35
SQL Masterclass for Data Scientists

Half-Day Training | Data Analytics | Intermediate-Advanced

 

Despite being first developed in the 1970s – SQL remains one of the most important data science skills in 2021!

In this workshop you will learn about:

  • Why SQL is still relevant for modern data science
  • How to tune SQL queries for optimal performance
  • How to translate between Python Pandas syntax and SQL operations
  • What is NoSQL and why does it matter for data scientists…more details
SQL Masterclass for Data Scientists image
Danny Ma
Founder & CEO | Sydney Data Science
15:00 - 16:30
Finding Rare Events in Text

Workshop | NLP | Intermediate-Advanced

 

The session will focus on identifying rare events in text with positive unlabeled data. PU learners are massively used for one-class classification but the challenge becomes far steeper when the event under consideration has low probability of occurrence…more details

Finding Rare Events in Text image
Debanjana Banerjee
Senior Data Scientist | Walmart Labs
15:00 - 16:30
Journey from Data analyst to (Citizen) Data scientist

Workshop | Machine Learning | Beginner-Intermediate

 

In this workshop, we will make use of “low-code” “no-code” platforms to perform some of the common data science tasks, such as data cleaning, exploratory data analysis and machine learning. These tools are good starting points if you’re trying to start a data career, make use of data at work or transition from a data analyst role to a data scientist. The workshop also provides a framework to how to run a data science project end-to-end…more details

Journey from Data analyst to (Citizen) Data scientist image
Hui Xiang Chua
Senior Data Scientist | Data Science Mentor | Dataiku | MentorCruise
15:00 - 16:30
MLOps: From Model to Production

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

 

In this session, we will discuss the role of MLOps and how they can help machine learning models from deployment to maintenance with focus on: keep track of performance degradation overtime from model predictions quality, setting up continuous evaluation metrics and tuning the model performance in both training and serving pipelines that are deployed in production…more details

MLOps: From Model to Production image
Yiliang Zhao, Ph.D
Vice President & Head of Data Science | Openspace Ventures
15:00 - 16:30
Learn Machine Learning on AWS SageMaker

Workshop | Machine Learning | Intermediate-Advanced

Learn how to train, test and deploy machine learning models on the cloud…more details

 

Learn Machine Learning on AWS SageMaker image
Andrew Worsley
Founder, Data Scientist at Datamahi
15:00 - 16:00
Model, Task and Data Engineering for NLP

Tutorial | NLP | Advanced

 

With the advent of deep learning and neural methods, NLP research over the last decade has shifted from feature engineering to model engineering, primarily focusing on inventing new architectures for NLP problems. Two other related factors that are getting more attention only recently are: (i) which objectives (or tasks) to optimize, and (ii) how to better use the available data; referred to as task engineering and data engineering, respectively. In this talk, I will present our recent work along these three dimensions…more details

Model, Task and Data Engineering for NLP image
Shafiq Rayhan Joty
Assistant Professor | Senior Manager at NTU Natural Language Processing Group, Nanyang Technological University | Salesforce AI
09:00 - 09:30
Fostering AI Innovations Through Open Source Projects

Keynote

 

Open-source software is at the foundation of machine learning and there are numerous projects supporting various parts of the machine learning lifecycle – from building to deploying and managing models. Join us to learn how Microsoft is investing across open source projects – both by starting new projects, like ONNX Runtime, InterpretML, and FairLearn as well as contributing to existing projects, such as ONNX, DeepSpeed, and PyTorch. We’ll also deep dive into some of our most recent work with PyTorch and share how organizations are using PyTorch on Azure to drive innovation...more details

 

 

Fostering AI Innovations Through Open Source Projects image
John Montgomery
Corporate Vice President, Program Management, AI Platform | Microsoft
Fostering AI Innovations Through Open Source Projects image
Emma Ning
Senior Program Manager | Microsoft
Fostering AI Innovations Through Open Source Projects image
Geeta Chauhan
AI/Pytorch Partner Engineering Head | Facebook
09:00 - 09:25
Building Models That Change Our Lives and Society for Good

Keynote

Building Models That Change Our Lives and Society for Good image
Ben Taylor, PhD
Chief AI Evangelist | DataRobot
09:30 - 09:55
Graph Data Science: What’s the Big Deal?

Keynote

 

This talk will cover the basics – how graphs are relevant to the problems you need to solve – and how to get started using graph techniques. You’ll learn how to improve your predictions with the data you already have, and how to use graph algorithms and machine learning to find what’s most important in your connected data…more details

Graph Data Science: What’s the Big Deal? image
Dr. Alicia Frame
Director, Graph Data Science | Neo4j
09:30 - 09:55
Global Collaborations and Interpretable Data Accelerate Health and Medical Research

Keynote

This talk outlines the CSIRO developed software solutions, which use the latest in cloud architecture, machine learning and distribution channels to support a wide range of digital health applications; from disease gene detection, to personalized gene therapy; from pathogen diagnostics to biosecurity applications. Specifically, we developed novel bioinformatics approaches to track viral evolution that has led to the first study on vaccine efficacy for the different COVID-19 virus strains…more details

Global Collaborations and Interpretable Data Accelerate Health and Medical Research image
Dr. Denis Bauer
Principal Research Scientist, Group Lead Transformational Bioinformatics | CSIRO
10:00 - 10:45
Fairness in Natural Language Processing

Talk | NLP | Intermediate-Advanced

 

In this talk, I will illustrate the nature and magnitude of the problem, and outline a number of approaches that can be used to train fairer models based on different data settings, without sacrificing overall performance levels. The talk will assume intermediate familiarity with NLP and machine learning methods, and is relevant to all industries…more details

Fairness in Natural Language Processing image
Tim Baldwin, PhD
Director, Vice President, Melbourne Laureate Professor at ARC Centre for Cognitive Computing in Medical Technologies | Association for Computational Linguistics | University of Melbourne
10:05 - 10:30
The Next Evolution of PyTorch Performance Debugging

Demo Talk

 

Analyzing and improving large-scale deep learning model performance is an ongoing challenge that continues to grow in importance as the model size increases. Come learn how to detect and troubleshoot common performance bottlenecks in PyTorch models using state-of-the-art profiling tools….more details

The Next Evolution of PyTorch Performance Debugging image
Elena Neroslavskaya
Principal Product Manager in the Azure AI Platform | Microsoft
The Next Evolution of PyTorch Performance Debugging image
Gisle Dankel
Performance and Capacity Engineer | Facebook
The Next Evolution of PyTorch Performance Debugging image
Geeta Chauhan
AI/Pytorch Partner Engineering Head | Facebook
10:35 - 11:00
ModelOps: Monitoring Performance, Economic Benefit, and Social Responsibility

Demo Talk 

 

This demonstration will walk through how an automated decisioning process can accomplish this…more details

ModelOps: Monitoring Performance, Economic Benefit, and Social Responsibility image
Jacky Long
Principal Solutions Architect | SAS Global Technology Practice
10:55 - 11:40
The Seven Intuitions of a Data Scientist

Track Keynote | Machine Learning | Deep Learning

 

Across all this diversity there are some core “intuitions” that form the abstract foundations of their work. In this talk we will cover seven such intuitions or “data science thinking” that a data scientist develops or should aspire to develop to become a more holistic data scientist…more details

The Seven Intuitions of a Data Scientist image
Dr. Shailesh Kumar
Chief Data Scientist | Jio
10:55 - 11:40
Enterprise ready ML Model Training on Hybrid Cloud, leveraging Kubernetes

Talk | MLOps | Intermediate

 

We are building a unified AML Kubernetes native agent that will allow you to seamless train ML models on Kubernetes. Supported frameworks include SciKit, TensorFlow , PyTorch and MPI.
The Kubernetes cluster can be AKS in the Azure cloud or it can be on-prem Kubernetes (including Azure Stack Hub, Edge) that you bring to Azure through Azure Arc for Kubernetes. This allows you to centrally manage and govern all your Kubernetes resources in one place and use capacity flexibly for all workloads including AML…more details

Enterprise ready ML Model Training on Hybrid Cloud, leveraging Kubernetes image
Saurya Das
Senior Product Manager | Microsoft
10:55 - 11:40
Data Science supporting Clinical Decision making: What, Why, How?

Talk | NLP | Intermediate

 

In this talk, I will discuss both these opportunities and the challenges that we face when working with real-world clinical data, and introduce some of the strategies that we are adopting to make this data more usable, and to model it effectively…more details

 

Data Science supporting Clinical Decision making: What, Why, How? image
Karin Verspoor, PhD
Dean, Fellow School of Computing Technologies at RMIT University | Australasian Institute of Digital Health
11:05 - 11:30
Graph Development: Tools and IDEs for Designing and Building Graph Solutions on Neo4j

Demo Talk

 

A demonstration of the tools available for developing graph solutions with an emphasis on the Python language and Neo4j graph database. From Jupyter notebooks to Neo4j Desktop come on a journey of development approaches available to the data scientist and software developer alike…more details

Graph Development: Tools and IDEs for Designing and Building Graph Solutions on Neo4j image
Dr. Tony Wu
Senior Presales Consultant | Neo4j
11:45 - 12:30
Error Analysis for Accelerating Responsible Machine Learning

Talk | Responsible Ai | Machine Learning | Intermediate

 

We will deep dive into the tool functionalities by presenting case studies and a live step-by-step demo. Finally, we will conclude with a discussion on future opportunities we are considering on further integrations with other RAI tools, as a quest towards a better integrated RAI ecosystemmore details

Error Analysis for Accelerating Responsible Machine Learning image
Besmira Nushi, PhD
Senior Researcher, Adaptive Systems and Interaction | Microsoft
Error Analysis for Accelerating Responsible Machine Learning image
Mehrnoosh Sameki, PhD
Principal PM Manager | Microsoft
11:45 - 12:30
How to Get Started With Deep Reinforcement Learning on a Variety of Use Cases?

Talk | Deep Learning | All Levels

 

Exploring available open-source reinforcement learning tools and insights on how to go from research to production…more details

How to Get Started With Deep Reinforcement Learning on a Variety of Use Cases? image
Maggie Liuzzi
Machine Learning Engineer & Researcher | Q-CTRL
12:35 - 13:00
Real-Time Machine Learning Models / Applications Monitoring with Imply

Demo Talk

 

This live talk will demonstrate how Imply can transform streaming data from Kafka to a real-time ML model monitoring application…more details

Real-Time Machine Learning Models / Applications Monitoring with Imply image
Vijay Narayanan
Senior Sales Engineer | Imply.io
12:45 - 13:30
Relationships Matter: Using Connected Data for Better Machine Learning

Talk

 

This tech talk will cover different approaches from graph feature engineering, from queries and algorithms to embeddings, and how to generate representations of graph using procedures provided in Neo4j Graph Data Science package to generate graph embeddings, ML models for link prediction or node classification, and apply these models to add missing information to existing data…more details

Relationships Matter: Using Connected Data for Better Machine Learning image
Dr. Joshua Yu
Director of PreSales & Field Engineer, APAC | Neo4j
12:45 - 13:30
Delivering Advanced Computer Vision Edge AI/ML for Dynamic, Complex and Harsh Work Environments

Track Keynote | Machine Learning

 

This talk will be a case study driven conversation through the delivery of an advanced computer vision edge AI/ML for dynamic, complex and harsh work environments…more details

Delivering Advanced Computer Vision Edge AI/ML for Dynamic, Complex and Harsh Work Environments image
Dr. Nathan Kirchner
Founder , CTO, Director | Presien
12:45 - 13:30
Gesture Recognition in the Browser: Training a Computer to Understand Sign Language

Talk | Data Analytics

 

Ravi and Emma is a world first in using AI for audiences to interact with an online documentary using Southern Dialect Auslan. Learn about how Silverpond worked with SBS to develop the concept, train the model and build the web experience…more details

Gesture Recognition in the Browser: Training a Computer to Understand Sign Language image
Dr. Elizabeth Silver
Data Scientist | Silverpond
Gesture Recognition in the Browser: Training a Computer to Understand Sign Language image
Simon Hudson
Software Engineer | Silverpond
13:25 - 14:10
Introduction to NLP and Topic Modeling

Talk | NLP | Beginner-Intermediate

 

This session is for those who want to learn the basic introduction of analyzing text data, more advanced NLP handling techniques – word vector, and topic modeling. By completing this session, you will become familiar and comfortable with the basic concepts and techniques for how to start a NLP modeling. Plus, you should be able to understand topic modeling and its commonly used methodologies…more details

Introduction to NLP and Topic Modeling image
Sunny Kim
Chief Executive Officer | NLP, AI Specialist | Sunny Mind Inc.
13:30 - 14:15
Few Shot Learning for Leprosy

Talk

 

In extreme low data scenarios with few classes, a few shot learning based approach might be challenging to train and evaluate. In these scenarios of low data and low classes with extreme skewness, a fine-grained sub-grouping into finer classes can help stretch the data to more classes simulating natural long tailed distribution…more details

Few Shot Learning for Leprosy image
Ramakanteswara Rao Beesetty
Associate Director-Innovation, R&D | Novartis
13:35 - 14:20
On Summarization Systems

Talk | NLP | Machine Learning | Intermediate

 

In summarization, the aim is to generate compress, relevant, and concise information from the available data. Different facets of summarization, like document summarization, figure-summarization, microblog summarization, and multi-modal microblog summarization, will be discussed in the talk…more details

On Summarization Systems image
Dr. Sriparna Saha
Group Member & Associate Professor, Department of Computer Science and Engineering | AI-NLP-ML Research Lab, IIT Patna
14:25 - 15:10
viZio – Content Scoring Engine

Talk

 

This work focuses on content-based scoring, which aims to quantify the impact of content quality of promotional emails sent across to healthcare practitioners upon the immediate engagement…more details

viZio – Content Scoring Engine image
Ritesh M Srivastava
Associate Director – Data Science, Analytics and Digital | Novartis
viZio – Content Scoring Engine image
Nitin Ranjan Sharma
Manager | Novartis
viZio – Content Scoring Engine image
Soutir Chakraborty
Manager | Novartis
viZio – Content Scoring Engine image
Sauradeep Debnath
Senior Analyst | Novartis
14:25 - 15:10
How to Operationalize Ethics in Data and AI

Talk | Data Analytics

 

AI ethics does not come in a box. Given the varying values of companies across dozens of industries, a data and AI ethics program must be tailored to the specific business and regulatory needs that are relevant to the company In her talk, Angela will walk through 4 pillars of how to execute Ethical AI for your organization from governance, design, monitoring and education perspectives…more details

How to Operationalize Ethics in Data and AI image
Angela Kim
Head of Analytics and AI | APAC Ambassador | Teacher's Health and Women in AI
14:25 - 15:10
How to Establish a Successful, Sustainable and Scalable Data Science and AI Capability within an Organisation

Talk | Data Analytics

 

How do you leverage the Data Science, emerging technology, and talented people to develop a successful, sustainable and scalable Data Science practice? I’ll reveal key insights on how to ensure success, develop the right culture, and avoid common pitfalls…more details

How to Establish a Successful, Sustainable and Scalable Data Science and AI Capability within an Organisation image
Dr. Alex Antic
Head of Data Science | Australian National University
14:35 - 15:20
Python + MPP Database = AI/ML Projects in Production Faster

Talk | Machine Learning | Intermediate

 

In this talk, you will learn about combination architectures that can get your work into production, shorten development time, and provide the performance and scale advantages of an MPP database with the convenience and power of Python. Real use case examples use the open source Vertica-Python project created by Uber with contributions from Twitter, Palantir, Etsy, Kayak and Gooddata…more details

Python + MPP Database = AI/ML Projects in Production Faster image
Paige Roberts
Open Source Relations Manager | Vertica
15:10 - 15:55
Deploying Optimized Deep Learning Pipelines

Talk | MLOps and Data Engineering | Advanced

This talk gives a survey on the different techniques for optimizing ML pipelines and lays out trade offs to consider when deploying them…more details

Deploying Optimized Deep Learning Pipelines image
Adam Gibson
Cofounder, Creator, Board Member at Konduit | deeplearning4j | Eclipse
15:10 - 15:55
AI Singapore’s Journey into the World of Federated Learning

Talk | Data Analytics

 

AI Singapore has been working on building a system, named Synergos, to support Federated Learning. In this talk, we will present an overview of the key component of Synergos, and zoom into the core component which coordinates multiple parties to train a federated model…more details

AI Singapore’s Journey into the World of Federated Learning image
Jianshu Weng, PhD
Head of Federated Learning Lab | AI Singapore
15:15 - 16:15
Vision Transformer and its Applications

Talk | Deep Learning | Beginner-Intermediate

 

In this talk, we will go into a deeper understanding of the model architecture of vision transformers. Most importantly, we will focus on the concept of self-attention and its role in vision. Then, we will present different model implementations utilizing the vision transformer as the main backbone…more details

Vision Transformer and its Applications image
Rowel Atienza, PhD
Professor, Scientist | University of the Philippines
16:00 - 16:45
Application of Data-Driven Technologies in Financial Sector

Talk | Machine Learning | Intermediate

 

In this talk, I will discuss the application of machine learning to a broad range of use cases in portfolio and risk management, as well as common pitfalls to look out for when working with financial data…more details

Application of Data-Driven Technologies in Financial Sector image
Beh Min Yan
Quantitative Researcher | Lead Data Science Instructor | Credit Suisse | Heicoders Academy
16:05 - 16:35
AI in Healthcare – Why now?

Keynote

 

On one side, we hear reports pharma and healthcare industry is lagging as opposed to some of the other industries like Retail, Telecom and technology and on other side we hear new innovations, digital therapies, new products being launched in pharma and healthcare – as a data science practitioner, have you ever wondered why is there a contrast? Listen to this talk on some reflections on the various elements on what those could be and any impact on the journey due to the pandemic…more details

AI in Healthcare – Why now? image
Debashish Banerjee
Head of Innovation & Strategy | Novartis
16:05 - 16:50
Advances in Machine Learning for Software Engineering

Talk | Machine Learning | Beginner-Intermediate

 

In this talk, I will present some advances that the research community and industry have made in the recent past in developing machine learning techniques to automate software engineering. Along the way, I will relate machine-learning techniques to traditional program analysis techniques. I will discuss representative deep learning methods to analyze and synthesize source code. While much progress is being made, we will see what challenges remain…more details

Advances in Machine Learning for Software Engineering image
Aditya Kanade
Associate Professor, Faculty in-charge | SEAL, Indian Institute of Science, Bangalore
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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 Tuesday, Wednesday, Thursday, or Friday

  • 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 APAC 2021 | September 15-16th

Register now
Open Data Science

 

 

 

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info@odsc.com

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