
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), FlipkartRohit 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.
- All Topics
- Advances in AI
- Customer & Product Sciences
- Data Science Platforms & Analytics
- Keynotes
- Panel Discussion
(ALL TIME MENTIONED IN IST)
Day 1 August 19,2021
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09:00 - 09:10IntroductionBy Sunil Gopinath CEO, Rakuten India
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09:10 - 09:15KeynoteBy Yasufumi Hirai CIO & CISO Group Executive VP, Rakuten Group, Inc.
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09:15 - 09:45KeynoteBy Takuya Kitagawa Chief Data Officer, Rakuten Group, Inc.
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09:45 - 10:30KeynoteBy Dr. Shailesh Kumar Chief Data Scientist, CoE AI/ML - Reliance Jio
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10:30 - 10:45Break / Engagement Activity
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10:45 - 11:30NLP & E-CommerceBy Ankur Datta Director Data Science, Rakuten Group, Inc.
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10:45 - 11:30AI for Enabling Hyperlocal ConvenienceBy Goda Ramkumar AVP, Data Science, SwiggyA 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 - 11:3098 things that can go wrong in an ML projectBy Dr. Sandeep Uttamchandani Building AI products and platforms | CDO & VP of Engg - Unravel Data
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11:30 - 12:15Computer Vision Research at the Rakuten Institute of TechnologyBy 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.
ADVANCES IN AI -
11:30 - 12:15Personalisation & Contextualization In Offline RetailBy 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 - 12:15Combating Syndicate Financial FraudBy Bharath Shasthri VP, Data Science & Engg, HDFC Bank
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12:15 - 13:00The Promise of Neuro-Symbolic AIBy Prof. Mausam Associate Professor, Department of Computer Science and Engineering, IIT Delhi
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12:15 - 13:00Explainable AI (XAI) And Its Business ApplicationsBy Yusuke Kaji Senior Manager, Analytics & Data Science, Rakuten Group, Inc., Anirban Nandi Vice President - Business Analytics, Rakuten IndiaExplainable 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 - 13:00Customer UnderstandingBy Yu Hirate Senior Manager, Rakuten Institute of Technology Tokyo, Rakuten Group, Inc.
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13:00 - 13:45Generating metadata for the torso and tail of Entertainment VideosBy Dr. Bharath Kumar Mohan CEO, Sensara
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13:00 - 13:45Traffic 101: Why Does Traffic Matter In Routing?By Pawan Kumar Head Data Science & Analytics, Uber R&D IndiaRouting 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 - 13:45Credit Scoring — Key Considerations For A Balanced ApproachBy Sanjay Kar Head Analytics, Equifax IndiaThe 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 - 14:30Data Privacy & Its Ramifications on PersonalizationBy Panelists (TBD)
Day 2 August 20,2021
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09:00 - 09:05IntroductionBy Tsubasa Shiraishi GM, IT Strategy Department, Rakuten Group, Inc.
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09:05 - 09:25KeynoteBy Rohit Dewan GM & CTO, Data and Commerce Platforms, Rakuten Group, Inc.
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09:25 - 09:45KeynoteBy Ashish Pandey GM & SVP, AI Business and AI Products, Rakuten Group, Inc.09:45 - 10:05Data Accelerates Rakuten Ecosystem BusinessBy 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. KEYNOTES10:05 - 10:35KeynoteBy Ravi Vijayaraghavan Senior Vice President and Head - Analytics & Decision Sciences (CDAO), Flipkart10:35 - 10:45Break / Engagement Activity10:45 - 11:30Conquering CancerBy Dr. Madan Dabbeeru Senior Director - Research, Rakuten India10:45 - 11:30Frictionless Online Shopping Using AIBy Todd Cao Algorithms Team Lead, Visenze10:45 - 11:30Rakuten Data Platform (Data Discovery, Data Utilization)By Sandipan Chakraborty Director Of Engineering, Global Data Platform, Rakuten Group, Inc.11:30 - 12:15Mobile Friendly Deep Learning Algorithms for Medical Image AnalysisBy Prof. Phaneendra K Yalavarthy Professor, Computational and Data Sciences (CDS), IISc Bangalore11:30 - 12:15Discovery of Insights using Video & AIBy Vinay TS CEO & Founder, Streamingo.ai11:30 - 12:15Knowledge Graphs and their use in AIBy Keyur Faldu Chief Data Scientist, EmbibeThe 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 SCIENCES12:15 - 13:00Quantum Technology & its ApplicationBy Utpal Chakraborty Chief Data Scientist, Head of Artificial Intelligence, YES BANKQuantum 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 AI12:15 - 13:00Conversational AI (Voice Assistants, chatbots)By James Mesbur Senior Manager, Conversational AI, Rakuten Group, Inc.12:15 - 13:00Product MatchingBy Hari Rao Senior Vice President – Engineering, Rakuten India, Muralidhar Sortur Senior Principal Architect, Rakuten IndiaProduct 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 SCIENCES13:00 - 13:45Graph Neural Network (GNN)By Prof. Toyo Suzumura Professor --University of Tokyo13:00 - 13:45Rakuten Data Science Platform and Feature storeBy Sekhar MK Vice President, Rakuten India, Vinay Jain Senior Product Manager at Rakuten India13:00 - 13:45Geo Sciences Initiatives at RakutenBy Kyle Mede Vice Manager, Customer Geo Science Group, Rakuten Group, Inc., Mayank Bansal Staff Data Scientist, Rakuten IndiaWith 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 SCIENCES13:45 - 14:00CONFERENCE CLOSING