Rakuten Product Conference – Applied AI 2021

Event  |  August 12, 2021 11:09 am

RAKUTEN PRODUCT CONFERENCE

(THEME: APPLIED AI)

Aug 19th & 20th

Online Live Conference

ADVANCES IN AI | CUSTOMER & PRODUCT SCIENCES
DATA SCIENCE PLATFORMS & ANALYTICS

Speakers

More than 30 experts to speak at Rakuten Product Conference (Theme: Applied AI)

Yasufumi Hirai

CIO & CISO Group Executive VP, Rakuten Group, Inc.

Takuya Kitagawa

Chief Data Officer, Rakuten Group, Inc.

Sunil Gopinath

CEO, Rakuten India

Dr. Shailesh Kumar

Chief Data Scientist, CoE AI/ML - Reliance Jio

Ravi-Vijayaraghavan

Senior Vice President and Head - Analytics & Decision Sciences (CDAO), Flipkart

Rohit Dewan

GM & CTO, Data and Commerce Platforms, Rakuten Group, Inc.

Utpal Chakraborty

Chief Data Scientist, Head of Artificial Intelligence, YES BANK

Dr. Sandeep Uttamchandani

Building AI products and platforms | CDO & VP of Engg - Unravel Data

Prof. Mausam

Associate Professor, Department of Computer Science and Engineering, IIT Delhi

James Mesbur

Senior Manager, Conversational AI, Rakuten Group, Inc.

Tsubasa Shiraishi

GM, IT Strategy Department, Rakuten Group, Inc.

Prof. Toyo Suzumura

Professor - University of Tokyo

Ashish Pandey

GM & SVP, AI Business and AI Products, Rakuten Group, Inc.

Kazuhito Nomura

GM, Data Science Consulting Department, Rakuten Group, Inc.

Bharath Shasthri

VP, Data Science & Engg, HDFC Bank

Hari Rao

Senior Vice President – Engineering, Rakuten India

Sekhar MK

Vice President, Rakuten India

Anirban Nandi

Vice President - Business Analytics, Rakuten India

Dr. Madan Dabbeeru

Senior Director - Research, Rakuten India

Sanjay Kar

Head Analytics, Equifax India

Goda Ramkumar

AVP, Data Science, Swiggy

Vinay TS

CEO & Founder, Streamingo.ai

Vijay Nair

Senior Director, Data Science & Analytics, Lowe's Companies, Inc.

Keyur Faldu

Chief Data Scientist, Embibe

Prof. Phaneendra K Yalavarthy

Professor, Computational and Data Sciences (CDS), IISc Bangalore

Pawan Kumar

Head Data Science & Analytics, Uber R&D India

Yusuke Kaji

Senior Manager, Analytics & Data Science, Rakuten Group, Inc.

Kyle Mede

Vice Manager, Customer Geo Science Group, Rakuten Group, Inc.

Mayank Bansal

Staff Data Scientist, Rakuten India

Muralidhar Sortur

Senior Principal Architect, Rakuten India

Vinay Jain

Senior Product Manager at Rakuten India

Todd Cao

Algorithms Team Lead, Visenze

Yu Hirate

Senior Manager, Rakuten Institute of Technology Tokyo, Rakuten Group, Inc.

Dr. Bharath Kumar Mohan

CEO, Sensara

Bjorn Stenger

Lead Scientist, Computer Vision & Machine Learning, Rakuten Group, Inc.

Ankur Datta

Director Data Science, Rakuten Group, Inc

Sandipan Chakraborty

Director Of Engineering, Global Data Platform, Rakuten Group, Inc.

Schedule

Over 2 Days, the Rakuten Product Conference (Theme: Applied AI) brings together AI Evangelists, Innovation Heads and leading Data Scientists across domains such as Customer & Product Sciences, Advanced AI Research, Data Science Platforms and Business Analytics.

Day 1 August 19,2021

  • 09:00 - 09:10
    Introduction
    By Sunil Gopinath CEO, Rakuten India
  • 09:10 - 09:15
    Keynote
    By Yasufumi Hirai CIO & CISO Group Executive VP, Rakuten Group, Inc.
  • 09:15 - 09:45
    Keynote
    By Takuya Kitagawa Chief Data Officer, Rakuten Group, Inc.
  • 09:45 - 10:30
    Keynote
    By Dr. Shailesh Kumar Chief Data Scientist, CoE AI/ML - Reliance Jio
  • 10:30 - 10:45
    Break / Engagement Activity
  • 10:45 - 11:30
    NLP & E-Commerce
    By Ankur Datta Director Data Science, Rakuten Group, Inc.
  • 10:45 - 11:30
    AI for Enabling Hyperlocal Convenience
    By Goda Ramkumar AVP, Data Science, Swiggy
    A glimpse of what it takes to enable unparalleled convenience to Swiggy's customers and how AI powers decisions at each stage of the customer journey.
    DATA SCIENCE PLATFORMS & ANALYTICS
  • 10:45 - 11:30
    98 things that can go wrong in an ML project
    By Dr. Sandeep Uttamchandani Building AI products and platforms | CDO & VP of Engg - Unravel Data
  • 11:30 - 12:15
    Computer Vision Research at the Rakuten Institute of Technology
    By Bjorn Stenger Lead Scientist, Computer Vision & Machine Learning, Rakuten Group, Inc.
    Computer vision helps automating tasks at scale, by understanding relevant aspects of image or video content. In many cases scaling such tasks would be prohibitive, and they can now be carried at human-level accuracy. Applications include document processing for rapid user onboarding, product image classification and tagging, image quality control, and banner generation. This talk will provide an overview of vision research projects at the Rakuten Institute of Technology that help enabling frictionless customer experiences.
  • 11:30 - 12:15
    Personalisation & Contextualization In Offline Retail
    By Vijay Nair Senior Director, Data Science & Analytics, Lowe's Companies, Inc.
    Learn how the world's second-largest home improvement retailer helps customers love where they live. This talk will be focused on a couple of case studies where Lowe's has been able to improve customer engagement and, thereby, revenue through the use of ML and personalisation in the context of offline retail. This will also delve into challenges faced and the key learnings.
    CUSTOMER & PRODUCT SCIENCES
  • 11:30 - 12:15
    Combating Syndicate Financial Fraud
    By Bharath Shasthri VP, Data Science & Engg, HDFC Bank
  • 12:15 - 13:00
    The Promise of Neuro-Symbolic AI
    By Prof. Mausam Associate Professor, Department of Computer Science and Engineering, IIT Delhi
  • 12:15 - 13:00
    Explainable AI (XAI) And Its Business Applications
    By Yusuke Kaji Senior Manager, Analytics & Data Science, Rakuten Group, Inc., Anirban Nandi Vice President - Business Analytics, Rakuten India
    Explainable AI (XAI) tends to refer to the movement, initiatives, and efforts made in response to AI transparency and trust concerns, more than to a formal technical concept. Interpretable ML is one of the most talked-about topics in the AI domain, to convert the black-box algorithm into easy to comprehend solutions to improve adoption for real-life business problems. Interpretable ML is the degree to which a human can understand the cause of a decision. We plan to talk about some of the cutting edge algorithms in the world of Explainability. Interpretability/ during the conference, explaining the importance of this topic along with real business applications and examples.
    DATA SCIENCE PLATFORMS & ANALYTICS
  • 12:15 - 13:00
    Customer Understanding
    By Yu Hirate Senior Manager, Rakuten Institute of Technology Tokyo, Rakuten Group, Inc.
  • 13:00 - 13:45
    Generating metadata for the torso and tail of Entertainment Videos
    By Dr. Bharath Kumar Mohan CEO, Sensara
  • 13:00 - 13:45
    Traffic 101: Why Does Traffic Matter In Routing?
    By Pawan Kumar Head Data Science & Analytics, Uber R&D India
    Routing diagnostics show traffic is the biggest cause of ETA errors. To improve Routing, ETAs, and Navigation, we need to improve our Traffic prediction accuracy. In this session, we will talk about i) how does traffic work? ii) How is traffic used in Routing? iii) why does traffic matter?
    DATA SCIENCE PLATFORMS & ANALYTICS
  • 13:00 - 13:45
    Credit Scoring — Key Considerations For A Balanced Approach
    By Sanjay Kar Head Analytics, Equifax India
    The ever-evolving economic scenarios, regulatory framework, changing consumer behaviour, data availability are additional factors besides the analytical consideration for a credit score. Therefore, a credit score using the robust analytical technique while addressing these factors is key for its adoption.
    CUSTOMER & PRODUCT SCIENCES
  • 13:45 - 14:30
    Data Privacy & Its Ramifications on Personalization
    By Panelists (TBD)

Day 2 August 20,2021

  • 09:00 - 09:05
    Introduction
    By Tsubasa Shiraishi GM, IT Strategy Department, Rakuten Group, Inc.
  • 09:05 - 09:25
    Keynote
    By Rohit Dewan GM & CTO, Data and Commerce Platforms, Rakuten Group, Inc.
  • 09:25 - 09:45
    Keynote
    By Ashish Pandey GM & SVP, AI Business and AI Products, Rakuten Group, Inc.
  • 09:45 - 10:05
    Data Accelerates Rakuten Ecosystem Business
    By Kazuhito Nomura GM, Data Science Consulting Department, Rakuten Group, Inc.
    Data is being leveraged by businesses to deep diving into customers' day-to-day life to understand their requirements and provide personalized solutions. Rakuten’s innovative frameworks combine big data with strategic business directions to create marketing solutions for brands which allows them to pinpoint their target users, as well as find the best possible ways to reach the target audience. Attend this session to explore how various dimensions of data science and analytics are being used to tackle real-life business problems in e-commerce, optimization of delivery logistics, and other interesting use cases. KEYNOTES
  • 10:05 - 10:35
    Keynote
    By Ravi Vijayaraghavan Senior Vice President and Head - Analytics & Decision Sciences (CDAO), Flipkart
  • 10:35 - 10:45
    Break / Engagement Activity
  • 10:45 - 11:30
    Conquering Cancer
    By Dr. Madan Dabbeeru Senior Director - Research, Rakuten India
  • 10:45 - 11:30
    Frictionless Online Shopping Using AI
    By Todd Cao Algorithms Team Lead, Visenze
  • 10:45 - 11:30
    Rakuten Data Platform (Data Discovery, Data Utilization)
    By Sandipan Chakraborty Director Of Engineering, Global Data Platform, Rakuten Group, Inc.
  • 11:30 - 12:15
    Mobile Friendly Deep Learning Algorithms for Medical Image Analysis
    By Prof. Phaneendra K Yalavarthy Professor, Computational and Data Sciences (CDS), IISc Bangalore
  • 11:30 - 12:15
    Discovery of Insights using Video & AI
    By Vinay TS CEO & Founder, Streamingo.ai
  • 11:30 - 12:15
    Knowledge Graphs and their use in AI
    By Keyur Faldu Chief Data Scientist, Embibe
    The recent advances in artificial intelligence are mainly attributed to deep learning models, which are intrinsically data-hungry and compute-hungry. Moreover, such deep learning models also suffer from black-box-ness, vulnerable understanding and reasoning ability, and intrinsic bias. All these factors limit its domain application. Explicit knowledge represented in knowledge graphs has a lot to offer. It could potentially drive the next surge in AI by addressing all of the above concerns. Let us brainstorm "Role of Knowledge Graphs in AI" with the education domain case study researched and developed at Embibe. CUSTOMER & PRODUCT SCIENCES
  • 12:15 - 13:00
    Quantum Technology & its Application
    By Utpal Chakraborty Chief Data Scientist, Head of Artificial Intelligence, YES BANK
    Quantum computing has the potential to transform every domain, every business and every aspect of our lives, and the Quantum-AI combination is going to be a bonanza for business. Let’s understand how. Google’s quantum computer ‘Sycamore’ was been able to solve a complex mathematical calculation in just 3 minutes that a powerful supercomputer would have taken approximately 10,000 years. We call it ‘Quantum Supremacy’ in the world of ‘Qubits’ when a quantum computer outperforms a classic supercomputer. Now we can easily imagine, that with this enormous computational speed combined with the power of AI how it’s going to bring about a radical change in the way we perceive classic computing today. A quantum computer is expected to be at least hundred million times faster than a classic computer. But it will be completely wrong if we think quantum computing will just bring extra speed because it will also bring some other significant dimensions specifically while combined with Machine Learning. Scientists and experts have already forecasted that Qubit in Quantum and Artificial Neurons in AI are going to essentially rule the scientific and technological arena of the future. We need to also understand that quantum computing is not just a boon but essentially the need of today and tomorrow because the silicon revolution is slowly collapsing as it has almost reached its limit. The rise of quantum along with AI is going to manifest the whole spectrum of new possibilities in the field of science and technology. Quantum computers can solve the wide range complex optimisation problems in each domain which conventional computing struggles to perform on time. These optimisation challenges are intrinsic in the field of finance, aviation, manufacturing, logistics, drug research and medicine, etc. ADVANCES IN AI
  • 12:15 - 13:00
    Conversational AI (Voice Assistants, chatbots)
    By James Mesbur Senior Manager, Conversational AI, Rakuten Group, Inc.
  • 12:15 - 13:00
    Product Matching
    By Hari Rao Senior Vice President – Engineering, Rakuten India, Muralidhar Sortur Senior Principal Architect, Rakuten India
    Product Matching In E-Commerce, Product Matching is one of the fundamental problems for various use cases like (1) Competitive pricing of products, (2) Deduplication of products in the catalog, (3) Grouping items from various merchants (4) Recommending products. The requirement is to match a product accurately against a catalog spread across tens of thousands of taxonomy nodes and millions of items. Product matching results must be accurate, and the margin for error is minimal to use Product Matching across use cases. In this talk, we touch upon the “Six honest serving-men” by Rudyard Kipling –What, Why, How, Where, When, and Who of Product Matching. We share the overall approach, experience in designing and orchestrating Deep Learning models with a scalable architecture to achieve the required results. Here we have approached the problem at the grass-root level consisting of five stages (1) Identifying attributes per taxonomy node (2) Classification of Products (3) Attribute Enrichment from NER (Text) and Image feature extraction (4) Search against multiple indices and filter results for mandatory attributes (5) Re-rank to improve the relevancy of shortlisted results. We also address Product data quality, measured at every stage to improve the overall performance of Product Matching, towards meeting business needs. CUSTOMER & PRODUCT SCIENCES
  • 13:00 - 13:45
    Graph Neural Network (GNN)
    By Prof. Toyo Suzumura Professor --University of Tokyo
  • 13:00 - 13:45
    Rakuten Data Science Platform and Feature store
    By Sekhar MK Vice President, Rakuten India, Vinay Jain Senior Product Manager at Rakuten India
  • 13:00 - 13:45
    Geo Sciences Initiatives at Rakuten
    By Kyle Mede Vice Manager, Customer Geo Science Group, Rakuten Group, Inc., Mayank Bansal Staff Data Scientist, Rakuten India
    With more than 70 different services in the Rakuten Group globally, our data science teams cover diverse initiatives in both the online and offline worlds. Offline Geodata and Geo Science applications are key to optimization and overall success in the fields of Logistics, Site Planning, Area Marketing and improving Customer Experience and many more. In this talk, we will cover some of the Geo initiatives at Rakuten and discuss some interesting questions around the viability for online data to fully represent a user and how to potentially rectify that via offline data and data science. CUSTOMER & PRODUCT SCIENCES
  • 13:45 - 14:00
    CONFERENCE CLOSING

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