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Serverless
AWS LambdaRun code without thinking about servers
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Overview
Join us for the 5th edition of Amazon AI Conclave a free virtual event that will
help you understand how to build smart, customer-centric, scalable solutions in
the cloud and on the edge using Amazon’s broadest and deepest set of AI and
machine learning services.
The event will feature keynotes presented by industry and technology leaders,
technical deep-dive sessions on AI and ML, 1:1 interaction with AWS AI and ML
experts and much more.
Accelerate innovation, scale effortlessly, and make a real impact for your
business with AI and ML on AWS.
Why attend?
The Amazon AI conclave is designed to inspire and empower you to accelerate your
AI/ML journey. Whether you are new to AI/ML or an advanced user, the Amazon AI
Conclave has the right sessions for you to apply AI/ML to your organization and
take your skills to the next level.
Who should attend?
Whether you are getting started with AI/ML, an advanced user, a business
executive, or curious about AI/ML, we have a specific track for your level of
experience and job role.
EVENT DETAILS
BUSINESS TRACK
For Enterprise and Startup CXOs
Wednesday, 15 December 2021
9:00 AM - 2:00 PM IST
Virtual Event
TECHNICAL TRACK
For ML Developers, Data Scientists and Architects
Wednesday, 15 December 2021
2:00 PM - 5:30 PM IST
Virtual Event
Register Now
KEYNOTE SPEAKERS
Puneet Chandok
President-Commercial Business, India and South Asia, Amazon Internet Services
Private Limited
Swami Sivasubramanian
Vice President, Amazon AI and Machine Learning service, Amazon Web Services
Rajeev Rastogi
Vice President, Machine Learning, Amazon
Vikram Anbazhagan
Director of Product Management, Amazon AI, Amazon Web Services
AGENDA
* Business Track
* Technical Track
* Business Track
* Welcome Note
Speaker: Puneet Chandok, President, Commercial Business, India and South
Asia, Amazon Internet Services Private Limited
Time: 9:00am - 9:15am
AWS AI and ML Keynote
Speaker: Swami Sivasubramanian, Vice President, Amazon AI and Machine
Learning service, Amazon Web Services
Time: 9:15am - 9:45am
Industry Keynote
Time: 9:45am - 10:00am
Helping our customers in their digital transformation with AI and ML
In this session we will showcase how companies around the world and across
all industries are leveraging AWS AI and ML services to enhance their
customers experience, optimize their business processes, and accelerate their
innovation.
Speaker: Vikram Anbazhagan, Director of Product Management, Amazon AI, Amazon
Web Services
Time: 10:00am - 10:15am
Panel Discussion: AIML fuelling innovation in financial services and
insurance
Learn how organizations are leveraging AI and ML to drive innovations around
customer experience, analytics & personalization.
Moderator: Nehal Mehta, Head of Business Development, Financial Services
Industry, Amazon Internet Services Private Limited
Panelists:
1. Manoj Kumar, SVP, Head of Data Office, Paytm Payments
2. Satyadarshi Behera, Lead - Data Science, CRED
3. Balkrishna Singhania, EVP and Head, Digital, HDFC Life
4. Vivek YS, Vice President, Data Science, Jupiter
Time: 10:15am - 11:00am
Panel discussion: Re-imagining healthcare with AI
With the availability of abundant data, connected tools, and widespread
automation, it’s much easier to use AI to deliver medical journeys and
medicines to patients.
Moderator: Amitabh Nagpal, Head of Business Development Startup Ecosystem
(India), Amazon Internet Services Pvt. Ltd
Panelists:
1. Ashish Singh, Vice President, Customer Engineering and Analytic,
Innovaccer
2. Sachin Shenoy, Cofounder & CTO, HealthifyMe
3. Ajit Narayanan, CTO, MFine
Time: 11:00am - 11:45am
Panel discussion: Re-inventing Retail, e-Commerce and CPG industry leveraging
AI and Machine Learning
To accurately forecast product demand in order to improve merchandise
planning, improve inventory turns, and optimize supply chains.
Moderator: Satinder Singh, Head, Solution Architects (India), Digital Native
Business, Amazon Internet Services Private Limited
Panelists:
1. Soumya Simanta, VP, Data Platform, Swiggy
2. Ravindar Yadav, Director Data science, Meesho
3. Farooq Adam, Cofounder and CTO, Fynd
4. Ashwini Asokan, Founder and CEO, Mad Street Den
5. Rajat Shikhar, Cofounder and CPO, Dealshare
Time: 11:45am - 12:30pm
Panel discussion: Improving business outcomes through the power of
personalization
Increase existing customer engagement apart from acquiring and retaining new
ones. Improve digital marketing efficiencies while driving higher average
revenue per user.
Moderator: Guru Bala, Head of Solutions Architecture, AWS Specialized
Services, Amazon Internet Services Private Limited
Panelists:
1. Tridib Mukherjee, VP, Data Science and AI, Games 24x7
2. Rishi Swami, Head of Data Science, MPL
3. Arun S. Pai, SVP, Head of Analytics and Decision Sciences, Dream11
4. Anjul Sacha, Chief Architect, ZEE5
5. Utkarsh Sopan, Head of Engineering, Wynk Limited
6. Dr. Angshuman Ghosh, Head of Data Science, Sony Research India
7. Sagnik Nath, CTO, Rooter Sports
Time: 12:30pm - 1:15pm
Break
Time: 1:15pm - 1:30pm
Technical Keynote: Machine Learning modeling best practices
Learn best modeling practices across optimization for economic value,
exploitation versus exploration, model explainability, considerations to
designing loss functions, handling noise in training data and correcting bias
in training data.
Speaker: Rajeev Rastogi, Vice President, Machine Learning, Amazon
Time: 1:30pm - 2:00pm
Lightning Talk with Paytm
Spotlight Session: Sachin Chalwa, Head - Digital Native Business(DNB), India
and South Asia at Amazon Internet Services Private Limited, In conversation
with Manmeet Dhody, CTO, Paytm Payments about the company’s current strategy
and the role AI/Ml are playing to help it realize that vision.
1. Sachin Chalwa, Head - Digital Native Business(DNB), India and South Asia
at Amazon Internet Services Private Limited
2. Manmeet Dhody, Chief Technology Officer, Payments, Paytm
Time: 5:00pm - 5:30pm
Amazon AI conclave awards
Time: 5:30pm - 6:00pm
* Technical Track
* * Track 1: Technical and Developer Track
* Track 2 : Startup Track
* Track 3 : AI and ML Stories
* Track 4: Partner Track
* Track 5: Public Sector Track
* Track 1: Technical and Developer Track
* Optimizing Machine Learning inference on AWS
In Machine Learning applications, model inference costs are often the most
critical to manage as business needs expand. Minimizing inference costs,
without compromising on performance requirements, is essential to meet ROI
targets and sustain a competitive edge in the market. AWS offers a wide
variety of instances based on CPUs as well as accelerators and tools
optimized for different machine learning use cases. In particular, AWS
Inferentia is designed to provide high performance inference in the cloud,
to drive down the total cost of inference, and to make it easy for
developers to integrate machine learning into their business applications.
In this presentation, we will discuss strategies to optimize performance
and cost of inference, for deep learning models, with AWS Inferentia.
Speaker: Venkatesh Rajagopalan, Principal Solutions Architect, Autonomous
Computing, Amazon Internet Services Private Limited
Time: 2:00pm - 2:30pm
Improve productivity using new features of Amazon SageMaker
This session will cover new Amazon SageMaker features that was launched in
reInvent 2021. We will showcase how data scientist and machine learning
developers are using these features to improve their productivity.
Speaker: Praveen Jayakumar, Principal Solutions Architect, Amazon Internet
Services Private Limited
Time: 2:30pm - 3:00pm
Bring AI capabilites to your application using new AI services
This session will cover new AI services that were launched during reInvent
2021. We will showcase how business owners and application developers can
use this service to bring in AI capabilites to their application.
Speaker: Arun Lokanatha, Senior Solutions Architect, Amazon Internet
Services Private Limited
Time: 3:00pm - 3:30pm
Build, train and deploy ML models easily with Amazon SageMaker Autopilot
This session covers how to use Amazon SageMaker Autopilot to automatically
build the best machine learning (ML) model for your data and interpret
your model’s predictions with just a few clicks. Amazon SageMaker
Autopilot automatically trains and tunes hundreds of ML models to optimize
your success metric and creates the model that best suits your data.
Speaker: Vivek Raja (AWS ML Hero)
Time: 3.30pm - 4:00pm
Oh I see! computer vision Machine Learning in AWS
In this presentation learn about the AWS services for building computer
vision ML applications in AWS from low code no with no ML experience
required, to complete custom ML code running at the edge.
Speaker: Mike Chambers, AWS ML Hero, ML Course Creator@ mikegchambers.com
Time: 4:00pm - 4:30pm
Get AWS certified: explore the ML specialty certification now
Earning AWS certified Machine Learning – Specialty validates expertise in
building, training, tuning, and deploying machine learning (ML) models on
AWS. In this session, learn more about this certification and AWS
resources that can help you prepare.
Speaker: Girisha Garg, Sr. Technical Trainer, Amazon Internet Services
Private Limited
Time: 4.30pm - 5:00pm
Create engaging voice first games for Alexa
Developers are adding voice to their wildest gaming ideas, re-imagining a
whole new way to engage players by feeding their curiosity and firing up
their imaginations, while making money and even building a business.
In this session, we will showcase Alexa development tools that will help
you learn:
- Qualities of engaging voice-first games
- Steps to build a game skill from scratch
- How to monetize your voice games
- Tools to help you change the game with voice
Speaker: Karthik Ragubathy, Senior Solutions Architect (Game Tech -
Alexa), Amazon Internet Services Private Limited
Time: 5:00pm - 5:30pm
* Track 2 : Startup Track
* Panel Discussion: Is finding the right talent the biggest challenge in
driving adoption of AI and ML?
Listen to founders and CXOs of startups on what are the key challenges
faced by high growth startups in adopting AI and Machine Learning as well
as driving tangible business impact. This panel discussion will also focus
on the big question of What’s Holding AI Back? Is it finding the right
talent?
Time: 2:00pm - 2:30pm
Voice of Customer: Leading the Transformation with AI and ML
Listen to CTOs/Data Science Heads of high growth startups on how they are
leveraging Amazon AI and Machine Learning services to drive grwoth,
business impact or operational efficiencies.
Time: 2:30pm - 3:00pm
Startup Product Demos: Rethinking the future
Watch high growth startups demo thier innovation products and solutions
built on top of AWS platform and using Amazon AI or Machine Learning
services. Industry use-case working demos (e-KYC, Content Moderation,
Vehicle Damage, STT/Voice) along with customer representatives.
Time: 3:00pm - 3:30pm
Voice of Customer: Decoding operational success leveraging AI and ML
Listen to CTOs/Data Science heads of high growth startups on how they are
leveraging Amazon AI and Machine Learning services to drive growth,
business impact or operational efficiencies.
Time: 3:30pm - 4:00pm
From the investor's lens: Seizing the AI opportunity
Listen to India's most active VCs / investors on how proliferation of AI
and Machine Learning can aid product growth or bring cost efficiencies for
startups and therefore drive better potential returns for thier portfolio.
Time: 4:00pm - 4:30pm
Fireside chat with Observe.AI on Evolution of AI-first startups: Build in
India; Sell Global
Listen to Observe.AI chief scientist on how the Indian ML-core startups
are shaping the way for the overall adoption of AI/ML within global
enterprises and challenges faced in the journey.
Time: 4:30pm - 5:00pm
* Track 3 : AI and ML Stories
* How GS Global Investment Research (GIR) is leveraging AWS AI/ML Services
The session will cover how GS has been working to leverage AI/ML Services
for their platform thereby improving team productivity as will as
increasing sales . The session will cover following specific use cases
- Personalized Research recommendations via Amazon SageMaker
- Using AWS services to intelligently determine documented responses from
customers using Amazon Textract and Amazon Comprehend
Speakers:
1. Gurumoorthy Damodharan, VP and GIR Lead, Goldman Sachs India
2. Gopalakrishnan, ArunKrishnan, VP, Goldman Sachs India
Time: 2:00pm - 2:30pm
How Suprdaily delivers improved customer experiences with AWS AI
Listen to Suprdaily product and technology leadership on how they are
using Purpose-built AI services to address their needs to scale rapidly to
meet growing customer demand.
Speakers:
1. Praveen, Director-Products, Supr Daily
2. Siddhardha Garimella, Senior Engineering Manager, Supr Daily
Time: 2:30pm - 3:00pm
Building responsible gaming and a better gamer 360 using Machine Learning
While it's important to have personalization, customer 360 to improve the
gamer experience and provide gamer delight, it's equally important to use
the gamer data and analytics to build a responsible gaming platform. Games
24x7, a scientific gaming company, is utilizing advanced AI and ML
framework to help build a customer 360 and a responsible gaming platform.
This session by Tridib Mukherjee, VP of and Head, AI and Data Science at
Games 24x7, covers the learnings and best practices to build up an ethical
and responsible gaming platform while keeping the focus on the gamers.
Speaker: Tridib Mukherjee, VP, Data Science, Games 24x7
Time: 3:00pm - 3:30pm
AI Anywhere in the Media Supply Chain
The Media and Entertainment industry has been bringing in islands of AI
intervention in the Media Supply chain over the last couple of years. Many
of these have been focused and specific AI solutions that delivers a
finite quantum of efficiency or an new opportunity. Over the last year,
multiple AI solutions are coming together enabling complex solutions and
deploying such AI solutions across the supply chain from Production all
the way till Distribution. This enables a significant synergetic uplift
across the supply chain. Prime Focus Technologies has been developing and
deploying this “AI Everywhere in the Media Supply chain” strategy, whose
cumulative effects, use cases and the journey has been delivering
consistent new value.
Speaker: Muralidhar Sridhar, Vice President, AI/ML and Global Head of
Product Management, Prime Focus Technologies
Time: 3:30pm - 4:00pm
Solving Financial Risk using Amazon SageMaker
Learn how AIML can help in fast-tracking credit decision making and
improve customer experience in the loan underwriting process and ensure
effective risk management.
Speakers:
1. Dev Pathi, Chief Technology Officer, Credit Saison India
2. AnujGupta, Chief Risk Officer, Credit Saison India
Time: 4:00pm - 4:30pm
Alexa, wassup?
Since Alexa's launch in India, we have enabled new experiences like
Amitabh Bachchan's voice on Alexa, paying your bills and launched many
device form factors at home, at work, in the car, and on the go. In this
talk, get an overview of the Alexa India story movement, unique
innovations and trends in voice.
Speaker: Dilip R.S, Sr. Manager, Alexa Devices and Experiences, Amazon
Time: 4:30pm - 5:00pm
* Track 4: Partner Track
* Demand forecasting for inventory optimization using Amazon Forecast
Improper demand planning decisions causes either lower inventory leading
to lost revenue and customers or excess inventory leading to costly
write-downs, eroded profits and tied-up working capital. Ganit has
successfully been implementing demand forecasting solutions across various
clients in Retail & CPG domain at granularity as low as store-sku-day
combination by leveraging a combination of Amazon Forecast and our
hypothesis driven solutioning approach.
Speakers:
1. Shivaprasad KT, CEO, Ganit Inc.
2. Gaurav Kankaria, Engagement Manager, Ganit Inc.
Time: 2:00pm - 2:30pm
MLOps pipelines with Amazon SageMaker - the cool kid on the Amazon Elastic
Block Store
Leveraging Amazon SageMaker to design a MLOps pipeline for multiple custom
developed ML Algorithms and automated maintenance.
Speakers:
1. Vishwanathan Chandran, Practice Head, Data and Analytics, Blazeclan
Technologies
2. Tejas Rawal, Sr. ML Engineer, Blazeclan Technologies
Time: 2:30pm - 3:00pm
Automating the loan origination process across varied data sources using
AWS for Machine Learning
Perfios Automation Everywhere (PAE) an Document Digitization & Automation
Platform helps in Automation and Managing Risk with Loan Processing. The
Platform uses AWS ML services like Amazon Textract, Amazon SageMaker to
process all forms of data sources and has been successful in bringing down
Turn-around-Time (TAT) of scanned document processing significantly.
Speaker: Ramgopal Cillanki, Senior Vice President - Head of Engineering,
Perfios Software Solutions Pvt. Ltd.
Time: 3:00pm - 3:30pm
Transforming customer experience with AI-driven hyper-personalized
journeys
Hyper-personalisation is an imperative for financial enterprises -
enabling them to respond to customers’ latent needs. Catch Shoaib talk
about hyper-personalization use-cases that can be quickly operationalized
to help differentiate your brand with deeper customer journey design.
Speaker: Shoaib Mohammad, CEO & Founder, Lumiq.ai
Time: 3:30pm - 4:00pm
How Deloitte India is using AWS ML services in solving real business
problems and delivering significant outcomes?
Today most of the organizations are sitting on wealth of data and if they
have not factored AI/ML into their business strategy they will not be able
to catch up and face the competition. Together with AWS - we are
delivering ML driven solutions and building accelerators to solve core
business problems, whether it is driving customer value management for a
B2C business or solving procurement related issues for a CPG company – we
are helping core business functions in using AI/ML as part of their
decision making processes.
Speaker: Varun Rastogi, Director, Analytics & Cognitive, Deloitte, India
Time: 4:00pm - 4:30pm
Supply Chain Resilience: Managing disruptions and uncertainties
Today's supply chains are a complex network that are more globalized and
connected than before. This makes them vulnerable to any disruptions that
uncertainties that come across leading to significant performance impact.
PwC's resilience solution is based on advanced modeling and simulation
techniques and can help supply chains assess the impact of these
disruptions and subsequently identify optimal course of action to be
taken.
Speaker: Akshat Dixit, Director, Data & Analytic, PwC India
Time: 4:30pm - 5:00pm
* Track 5: Public Sector Track
* Accelerating AI Advantage
In this session, learn how Fractal.AI delivered a platform to help analyze
data and make decisions related to COVID-19 progression for the government
of Telangana and Maharashtra, India, deploying it on AWS in five days. The
solution delivered more than 100 dashboards using anonymized government
and public datasets with hundreds of thousands of COVID-19 data points.
Learn about the build, scale, and impact of this platform on which machine
learning models for disease transmission predictions, citizen mobility
analytics, situational awareness of disease spread, and hospital care
readiness were built. Hear how the team anticipated sustainable recovery
scenarios and how healthcare and government came together.
Speakers:
1. Kanishka Agiwal ,Head of Service Lines, WWPS, Amazon Internet Services
Private Limited
2. Srikanth Velamakkani, CEO, Fractal.ai
Time: 2:00pm - 2:30pm
Empowering Passengers through AI Powered Travel Experience
This session with AWS and The Digi Yatra Foundation highlights the power
of partnership to create a solution, that provides a unique and memorable
digital travel experience for passengers using real time selfie-based
facial biometric validation. This then provides a friction less, hassle
free, contact-less and safe experience to passengers during air travel.
Speakers:
1. Neha Jolly Sawhney Digital Innovation Business Development Manager,
WWPS, AWS India (AISPL)
2. Suresh M Khadakbhavi, Asst. Vice President, Innovation Lab, Bangalore
International Airport Limited
Time: 2:30pm - 3:00pm
AI in Transforming Agriculture
In this session, Intello Labs, a global AI-powered quality assaying
startup, will share how Praman.ai, an agriculture produce trade exchange
platform with integrated quality assessment, is facilitating spot-trading
and e-auctioning in agri-commodities, building a much-needed quality layer
between farmers and traders to accelerate and accomplish the digital
transformation of Indian agriculture.
Speaker: Milan Sharma, Co-Founder & CEO, Intello Labs
Time: 3:00pm - 3:30pm
FEATURED SPEAKERS
Manoj Kumar
SVP, Head of Data Office, Paytm Payments
Satyadarshi Behera
Lead - Data Science, CRED
Balkrishna Singhania
EVP and Head, Digital, HDFC Life
Vivek YS
Vice President, Data Science, Jupiter
Ashish Singh
Vice President, Customer Engineering and Analytic, Innovaccer
Sachin Shenoy
Cofounder & CTO, HealthifyMe
Ajit Narayanan
CTO, MFine
Soumya Simanta
VP, Data Platform, Swiggy
Ravindar Yadav
Director Data science, Meesho
Farooq Adam
Cofounder and CTO, Fynd
Ashwini Asokan
Founder and CEO, Mad Street Den
Rajat Shikhar
Cofounder and CPO, Dealshare
Tridib Mukherjee
VP, Data Science and AI, Games 24x7
Rishi Swami
Head of Data Science, MPL
Arun S. Pai
SVP, Head of Analytics and Decision Sciences, Dream11
Anjul Sacha
Chief Architect, ZEE5
Utkarsh Sopan
Head of Engineering, Wynk Limited
Dr. Angshuman Ghosh
Head of Data Science, Sony Research India
Sagnik Nath
CTO, Rooter Sports
Manmeet Dhody
Chief Technology Officer, Payments, Paytm
Vivek Raja
AWS ML Hero
Mike Chambers
AWS ML Hero, ML Course Creator
Praveen
Director-Products, Supr Daily
Siddhardha Garimella
Senior Engineering Manager, Supr Daily
Muralidhar Sridhar
Vice President, AI/ML and Global Head of Product Management, Prime Focus
Technologies
Dev Pathi
Chief Technology Officer, Credit Saison India
Anuj Gupta
Chief Risk Officer, Credit Saison India
Shivaprasad KT
CEO, Ganit Inc.
Gaurav Kankaria
Engagement Manager, Ganit Inc.
Vishwanathan Chandran
Practice Head, Data and Analytics, Blazeclan Technologies
Ramgopal Cillanki
Senior Vice President - Head of Engineering, Perfios Software Solutions Pvt.
Ltd.
Shoaib Mohammad
CEO & Founder, Lumiq.ai
Varun Rastogi
Director, Analytics & Cognitive, Deloitte, India
Srikanth Velamakkani
CEO, Fractal.ai
Suresh M Khadakbhavi
Asst. Vice President, Innovation Lab, Bangalore International Airport Limited
Milan Sharma
Co-Founder & CEO, Intello Labs
Akshat Dixit
Director, Data & Analytic, PwC India
Sachin Chawla
Country Manager & Head - Digital Native Business (DNB), India and South Asia,
Amazon Internet Services Private Limited
Nehal Mehta
Head of Business Development, Financial Services Industry, Amazon Internet
Services Private Limited
Amitabh Nagpal
Head of Business Development Startup Ecosystem (India), Amazon Internet Services
Private Limited
Satinder Singh
Head, Solution Architects (India), Digital Native Business, Amazon Internet
Services Private Limited
Guru Bala
Head of Solutions Architecture, AWS Specialized Services, Amazon Internet
Services Private Limited
Session levels designed for you
INTRODUCTORY
Level 100
Sessions are focused on providing an overview of AWS services and features, with
the assumption that attendees are new to the topic.
INTERMEDIATE
Level 200
Sessions are focused on providing best practices, details of service features
and demos with the assumption that attendees have introductory knowledge of the
topics.
ADVANCED
Level 300
Sessions dive deeper into the selected topic. Presenters assume that the
audience has some familiarity with the topic, but may or may not have direct
experience implementing a similar solution.
EXPERT
Level 400
Sessions are for attendees who are deeply familiar with the topic, have
implemented a solution on their own already, and are comfortable with how the
technology works across multiple services, architectures, and implementations.
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Puneet leads the AWS business in India and South Asia. As the country MD, his
charter is to oversee and manage the incubation, planning, and demand for AWS
Services from customers across industry segments and verticals in India and
South Asia, as well as build and lead customer-centric teams that help
organisations innovate and transform using AWS services.
Prior to joining AWS, he has held leadership roles with McKinsey & Co. and IBM
Global Services. As a Partner for McKinsey & Co., Puneet led relationships with
enterprise clients, technology providers, private equity firms, and helped grow
the Technology and Digital practices in Asia for McKinsey. At IBM, Puneet was a
Deputy General Manager for Solutions, Transitions and Global Competency for Asia
Pacific.
Swami Sivasubramanian is Vice President at AWS in charge of all Amazon AI and
Machine Learning services. His team’s mission is “to put machine learning
capabilities in the hands on every developer and data scientist.” Swami and the
AWS AI and ML organization work on all aspects of machine learning, from ML
frameworks (Tensorflow, Apache MXNet and PyTorch) and infrastructure, to Amazon
SageMaker (an end-to-end service for building, training and deploying ML models
in the cloud and at the edge), and finally AI services (Transcribe, Translate,
Personalize, Forecast, Rekognition, Textract, Lex, Comprehend, Kendra, etc.)
that make it easier for app developers to incorporate ML into their apps with no
ML experience required.
Previously, Swami managed AWS’s NoSQL and big data services. He managed the
engineering, product management, and operations for AWS database services that
are the foundational building blocks for AWS: DynamoDB, Amazon ElastiCache
(in-memory engines), Amazon QuickSight, and a few other big data services in the
works. Swami has been awarded more than 250 patents, authored 40 referred
scientific papers and journals, and participates in several academic circles and
conferences.
Rajeev leads the development of Machine Learning solutions for Amazon’s India
business in the areas of Search, Advertising, Deals, Catalog Quality, Payments,
Forecasting, Question Answering, etc. Previously, he was Vice President of
Yahoo! Labs Bangalore and the founding Director of the Bell Labs Research Center
in Bangalore, India. Rajeev is an ACM Fellow and a Bell Labs Fellow. He has
published over 125 papers, and holds over 100 patents. Rajeev received his B.
Tech degree from IIT Bombay, and a PhD degree in Computer Science from the
University of Texas, Austin.
Vikram Anbazhagan is a Director of Product Management at AWS on the AI and
Machine Learning (ML) team and has been in the technology industry for over two
decades. He has extensive experience in building products and leveraging Machine
Learning to solve business problems across the Retail, Kindle, Lending and AWS
teams at Amazon. He has launched many of the AWS AI services like Amazon Lex,
Amazon Comprehend, Amazon Translate, Amazon Transcribe, Amazon Monitron, Lookout
for Equipment and Amazon Kendra. He is a subject matter expert in the
application of ML technologies like Speech Recognition, NLP, Machine
Translation, Text to Speech, Conversational agents, and Intelligent Search.
Before AWS, he was the GM for the Amazon Lending team, where he used ML to help
provide financing to marketplace merchants to grow their business on Amazon. He
was also responsible for building the ML based pricing systems for Kindle
Ebooks. He has been awarded multiple patents over this period.