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Overview
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.
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
Wednesday, 15 December 2021
9:00 AM - 2:00 PM IST
Technical and Breakout Tracks
Wednesday, 15 December 2021
2:00 PM - 5:30 PM IST
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 Services, Amazon Web Services
Rajeev Rastogi
Vice President, Machine Learning, Amazon
Vikram Anbazhagan
Director of Product Management, Amazon AI, Amazon Web Services
Agenda
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Business Track
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Technical and Breakout Tracks
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Business Track
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Welcome Note
Speaker: Puneet Chandok, President, Commercial Business, India and South Asia, Amazon Internet Services Private Limited
Time: 9:00am - 9:15am
AWS re:Invent 2021: Recap - Database, analytics, and machine learning keynote
Swami Sivasubramanian, Vice President, Amazon AI and Machine Learning service, Amazon Web Services delivered the database, analytics, and machine learning keynote at AWS re:Invent 2021. In this session we recap the highlights from the keynote.
Speaker: Swami Sivasubramanian, Vice President, Amazon AI and Machine Learning service, Amazon Web Services
Time: 9:15am - 10:00am
Helping our customers in their digital transformation with AWS AI and ML services
In this session, we showcase how AWS customers across the world are leveraging AWS AI and ML services to enhance customers experience, optimize business processes, and accelerate innovation.Speaker: Vikram Anbazhagan, Director of Product Management, Amazon AI, Amazon Web Services
Time: 10:00am - 10:15am
Panel discussion: AI and ML fuelling innovation in financial services and insurance
In this session, learn how organizations are leveraging AI and ML to drive innovation around customer experience, analytics and personalization.Moderator: Nehal Mehta, Head of Business Development, Financial Services Industry, Amazon Internet Services Private Limited
Panelists:
1. Manoj Kumar, SVP, Head of Data Platform, 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
In this session, listen to industry leaders discuss the availability and abundance of data today, the connected tools, and widespread automation needed to deliver medical journeys and medicines to patients.Moderator: Amitabh Nagpal, Head of Business Development, Startup Ecosystem (India), Amazon Internet Services Private Limited
Panelists:
1. Ashish Singh, Vice President, Customer Engineering and Analytics, Innovaccer
2. Sachin Shenoy, Co-founder and CTO, HealthifyMe
3. Ajit Narayanan, CTO, MFine
Time: 11:00am - 11:45am
Panel discussion: Re-inventing retail, e-commerce and CPG by leveraging AI and ML
In this session, listen to industry experts as they explore methods to accurately forecast product demand to improve merchandise planning, improving inventory turns, and ways to optimize the supply chain.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. Swarna Rethas, Director of Platform Solutions, Mad Street Den
5. Rajat Shikhar, Cofounder and CPO, DealshareTime: 11:45am - 12:30pm
Panel discussion: Improving business outcomes through the power of personalization
In this session, learn how media and gaming companies are improving customer engagement while acquiring and retaining new ones. The panel will also explore the focus to 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 Sachan, Chief Architect, ZEE5
5. Utkarsh Sopan, Head of Engineering (Platforms), Airtel Digital Ltd
6. Dr. Angshuman Ghosh, Head of Data Science, Sony Research India
Time: 12:30pm - 1:15pm
Break
Time: 1:15pm - 1:30pm
Technical keynote: Machine learning modelling best practices
In this session, 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
Sachin Chawla, Head - Digital Native Business(DNB), India and South Asia at Amazon Internet Services Private Limited, in conversation with Manmeet Dhody, Chief Technology Officer, Payments, Paytm about the company’s current strategy and how AI and ML can help it to realize that vision.
1. Sachin Chawla, Country Manager & Head - Digital Native Business(DNB), India and South Asia at Amazon Internet Services Private Limited
2. Manmeet Dhody, Chief Technology Officer, Payments, PaytmTime: 5:00pm - 5:30pm
Amazon AI conclave awards
Time: 5:30pm - 6:00pm
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Technical and Breakout Tracks
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Track 1: Technical and Developer Track
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Track 2: Startup Track
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Track 3: AI and ML Stories
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Track 4: Partner Track
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Track 5: Public Sector Track
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Track 1: Technical and Developer Track
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Optimizing ML inference on AWS
In this session, we will explore AWS Inferentia and how it 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. We will also look at 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 launched during AWS re:Invent 2021. We will showcase how data scientists and machine learning developers are using these features to improve productivity.
Speaker: Praveen Jayakumar, Principal Solutions Architect, Amazon Internet Services Private Limited
Time: 2:30pm - 3:00pm
High performance and cost-effective model deployment with Amazon SageMaker
In this session, learn about the various deployment options available in Amazon SageMaker. You will learn about real-time, asynchronous, batch inferences, multi-container endpoints, multi-model endpoints, auto scaling and serverless endpoints. Discover how to choose a better inference option for your ML use case.
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 will cover building the best machine learning models automatically for your data using Amazon SageMaker Autopilot. The session will also explore interpreting 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 P S, Data Scientist, NexStem | CortexBCI Inc and AWS ML Hero
Time: 3:30pm - 4:00pm
Oh I see! computer vision Machine Learning in AWS
In this session, learn from ML experts on how one can build low-code/ no-code computer vision applications on AWS with minimal prior experience in ML.
Speaker: Mike Chambers, AWS ML Hero, ML Course Creator@ mikegchambers.comTime: 4:00pm - 4:30pm
Get AWS certified: Explore the ML specialty certification now
In this session, we cover the AWS certified machine learning speciality and resources available to help you build, train, tune and deploy machine learning models on AWS.
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 imagination, while making money and even building a business. In this session, we showcase Alexa development tools that will help you learn qualities of engaging voice-first games, steps to build a game skill from scratch, monetization, adding voice to your games, and tools to help you change games with voice.
Speaker: Karthik Ragubathy, Senior Solutions Architect (Game Tech - Alexa), Amazon Seller Services Private Limited
Time: 5:00pm - 5:30pm
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Track 2: Startup Track
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Welcome note
Speaker: Kumara Raghavan, India Head, Startup Sales, Amazon Internet Services Private Limited
Time: 2:00pm - 2:05pm
Investing in AI – a VC’s perspective
For startups, AI and ML can aid product growth by bringing in cost efficiencies and potentially driving better outcomes. In this session Prayank Swaroop from Accel will explore the impact that AI and ML can deliver for startups and their portfolio.Speaker: Prayank Swaroop, Partner, Accel
Time: 2:05pm - 2:30pm
Panel discussion: Is finding the right talent the biggest challenge in driving adoption of AI and ML?
In this session, listen to founders and CXOs of high growth startups on the challenges faced in adopting AI and ML. This panel discussion will also focus on how AI and ML can drive tangible business impact and also answer the big question - 'What’s holding AI back? Is it finding the right talent?'
Moderator: Dev Ramnane, Head Startup Sales, North, Amazon Internet Services Private Limited
Panelists:
1. Tariq Wali, CTO, Chingari
2. Arun Lodhi, Cofounder and CTO, Trell
3. Vivek Murugesan, Vice President, ML Engineering, Cred Avenue
Time: 2:30pm - 3:00pm
Voice of customer: Leading the transformation with AWS AI and ML services
In this session, listen to technology leaders from BlackBuck and Koo, on how they leverage AWS AI and ML services to drive growth, business impact and operational efficiency.
Moderator: Pandurang Nayak, Head Startup Solutions Architect, Amazon Internet Services
Speakers:
1. Deepak Warrier, PhD, Chief Data Scientist, BlackBuck
2. Phaneesh Gururaj, CTO, Koo
Time: 3:00pm - 3:30pm
Startup product demos: Rethinking the future
In this session, high growth startups will demo their innovative products and solutions built on AWS using AWS AI or ML services. The session will dive deep into industry use cases and working demos such as e-KYC, content moderation, vehicle damage, STT and voice.
Moderator: Yogesh Lele, Head Startup Sales - West, Amazon Internet Services Private Limited
Speakers:
1. RS Nikhil Krishna, Head of AI, Detect Technologies
2. Rajdeep Bhattacharya, Head of DevOps, Lenskart
3. Arpit Garg, Product, Lenskart
4. Murali Tirupati, CEO, VaultEdge
5. Manish Dhingra, Co-founder and CEO, Mediology Software
Time: 3.30pm - 4:00pm
Voice of customer: Decoding operational success leveraging AWS AI and ML services
In this session, listen to technology leaders from epifi and BetterPlace Safety Solutions, on how they are leveraging AWS AI and ML services to drive operational success.
Moderator: Pandurang Nayak, Head Startup Solutions Architect, Amazon Internet Services Private Limited
Speakers:
1. Komal Prajapati, Chief of Tech and Product, BetterPlace Safety Solutions Pvt Ltd
2. Prasanna Ranganathan, Founding Member, epifi
Time: 4:00pm - 4:30pm
Fireside chat with Observe.AI on the evolution of AI-first startups: Build in India; sell global
In this session, listen to the chief scientist at Observe.AI on how Indian ML core startups are shaping the way for the adoption of AI and ML within global enterprises and the challenges they face in this journey.
Moderator: Kumara Raghavan, India Head, Startup Sales, Amazon Internet Services Private Limited
Speaker: Jithendra Vepa, Chief Scientist, Observe.AI
Time: 4:30pm - 5:00pm
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Track 3: AI and ML Stories
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Goldman Sachs' Global Investment Research (GIR) is leveraging AWS AI and ML services to increase sales
Goldman Sachs is using AWS AI and ML services to improve team productivity and increase sales of their Global Investment Research platform. In this session, hear from the team on how one can leverage Amazon SageMaker for custom use cases such as personalized research recommendations. We will also explore how Amazon Textract and Amazon Comprehend can intelligently determine documented responses from customers.Speakers:
1. Navaneetha Krishnan, Vice President, Goldman Sachs India
2. ArunKrishnan Gopalakrishnan, VP, Goldman Sachs IndiaTime: 2:00pm - 2:30pm
Supr Daily delivers improved customer experiences using AWS AI services
In this session, hear from the product and technology leaders at Supr Daily, on how they are using purpose-built AI services to deliver an elevated user experience, scale rapidly and meet growing customer demand.Speakers:
1. Praveen Kumar, Director, Products, Supr Daily
2. Siddardha Garimella, Senior Engineering Manager, Supr DailyTime: 2:30pm - 3:00pm
Building responsible gaming and a better gamer 360 using machine learning
This session by Tridib Mukherjee, VP and Head, AI and Data Science at Games 24x7, will present the best practices to build ethical and responsible gaming platforms 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
In this session, Prime Focus Technologies will present how they have developed and deployed “AI everywhere in the media supply chain”. They will also explore cumulative effects, use cases and the journey that’s 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
Join the technology and risk leaders at Credit Saison India, as they detail how AI and ML can help fast-track credit decision making and improve customer experience in the loan underwriting process, while ensuring 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?
In this session, get an overview of the Alexa India story, unique innovations and trends in voice.Speaker: Dilip R.S, Sr. Manager, Alexa Devices and Experiences, Amazon
Time: 4:30pm - 5:00pm
Building AI-powered modern operating system to help brands win on e-commerce
In this session, hear from CommerceIQ on how to leverage ML across the e-commerce flywheel to help consumer brands gain and optimize for awareness, visibility, availability, consideration, and win at the moment of purchase.Speaker: Aatmaprem Aarya, Manager Data Science, CommerceIQ
Time: 5:00pm - 5:30pm
Automating motor insurance claims using Amazon Textract
In this session, learn how Bajaj Allianz General Insurance Co. Ltd. uses AWS AI services to efficiently extract data from motor and marine insurance claims documents to adjudicate and process claims faster.Speaker: Niranjan Vaidya, Head - Information Technology Innovation, Bajaj Allianz General Insurance Co. Ltd.
Time: 5:30pm - 6:00pm
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Track 4: Partner Track
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Demand forecasting for inventory optimization using Amazon Forecast
In this session, learn how Ganit Inc. is creating demand forecasts for SKU-day combination by leveraging Amazon Forecast and their hypothesis driven solutioning approach. Ganit has successfully implemented highly granular demand forecasting solutions for its clients in retail & CPG.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
In this session, learn how Blazeclan Technologies leverages 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 ML services
In this session, learn how Perfios Software Solutions Pvt. Ltd. uses AWS ML services such as Amazon Textract and Amazon SageMaker to process all forms of data sources to bring down turn-around-time (TAT) of scanned document processing.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
In this session, listen how Lumiq.ai 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?
In this session, learn how Deloitte and AWS are delivering ML driven solutions to solve core business problems, from driving customer value management for a B2C business to solving procurement related issues for a CPG company. Join this session to find out how Deloitte is supporting core business functions with decision making driven by ML.Speaker: Varun Rastogi, Director, Analytics & Cognitive, Deloitte, India
Time: 4:00pm - 4:30pm
Supply chain resilience: Managing disruptions and uncertainties
PwC's resilience solution based on advanced modelling and simulation techniques helps supply chains assess the impact of disruptions and subsequently identifies optimal course of action to be taken. Join this session to learn how organizations can better manage supply chain disruptions and uncertainties, with advanced modelling techniques.
Speaker: Akshat Bal Dikshit, Director, Data & Analytics, PwC India
Time: 4:30pm - 5:00pm
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Track 5: Public Sector Track
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Accelerating AI advantage
Fractal.AI helped the goverments of Telengana and Maharashtra transform data analysis and decision making related to COVID-19 progression through a powerful platform that was deployed on AWS in five days. In this session, hear from the CEO of Fractal.ai, as he takes you through the build, scale, and impact of this platform, and the journey of delivering over 100 dashboards using anonymized government and public datasets, and hundreds of thousands of COVID-19 data points.
Speakers:
1. Kanishka Agiwal, Head – Service Lines, India/South Asia, Worldwide Public Sector, Amazon Internet Services Private Limited
2. Srikanth Velamakkani, CEO, Fractal.ai
Time: 2:00pm - 2:30pm
Empowering passengers through AI powered travel experiences
Join this session, to learn how DigiYatra foundation utilized real-time, selfie-based biometric validation to provide a friction-less, hassle-free, and safe experience to passengers during air travel.
Speakers:
1. Neha Jolly Sawhney, Digital Innovation, Worldwide Public Sector, India, Amazon Internet Services Private Limited
2. Suresh M Khadakbhavi, Asst. Vice President, Innovation Lab, Bangalore International Airport LimitedTime: 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: Saurabh S, CEO of Intello Labs
Time: 3:00pm - 3:30pm
AI for empowering education
EdTech enterprises are accelerating digital transformation in education. Join this session to understand how leading Edtech Learning Spiral is transforming education with strategies that are disruption proof and ready for innovation based on India’s New Education Policy (NEP).
Speaker: Manish Mohta, Managing Director, Learning Spiral Private Limited
Time: 3:30pm - 4:00pm
AI for social inclusion
Intel compute on AWS platforms enables businesses to drive scale at speed with performance. Join this session with Intel and EnglishHelper to understand how they architect their platform using the power of AI to impact thousands of lives every day.
Speakers:
1. Akanksha Balani, Regional Alliance Head, APAC & Japan, Intel
2. Sriram Shankar, Chief Technology Officer, English Helper Education Technologies Pvt Ltd
Time: 4:00pm - 4:30pm
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Featured Speakers
Manoj Kumar
SVP, Head of Data Platform, 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
Swarna Rethas
Director of Platform Solutions, Mad Street Den
Rajat Shikhar
Cofounder and CPO, Dealshare
Tridib Mukherjee
VP, Data Science and AI, Games 24x7
Head of Data Science, MPL
Arun S. Pai
SVP, Head of Analytics and Decision Sciences, Dream11
Anjul Sachan
Chief Architect, ZEE5
Utkarsh Sopan
Head of Engineering (Platforms), Airtel Digital Ltd
Dr. Angshuman Ghosh
Head of Data Science, Sony Research India
Karthik Ragubathy
Senior Solutions Architect (Game Tech - Alexa), Amazon Seller Services Private Limited
Manmeet Dhody
Chief Technology Officer, Payments, Paytm
AWS ML Hero
AWS ML Hero, ML Course Creator
Arun Lokanatha
Senior Solutions Architect, Amazon Internet Services Private Limited
Siddardha 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
Aatmaprem Aarya
Manager Data Science, CommerceIQ
Niranjan Vaidya
Head - Information Technology Innovation, Bajaj Allianz General Insurance Co. Ltd.
Akanksha Balani
Regional Alliance Head, APAC & Japan, Intel
Sriram Shankar
Chief Technology Officer, English Helper Education Technologies Pvt Ltd
Prayank Swaroop
Partner, Accel
Tariq Wali
CTO, Chingari
Arun Lodhi
Cofounder and CTO, Trell
Vivek Murugesan
Vice President, ML Engineering, Cred Avenue
Deepak Warrier
PhD, Chief Data Scientist, BlackBuck
Phaneesh Gururaj
CTO, Koo
RS Nikhil Krishna
Head of AI, Detect Technologies
Rajdeep Bhattacharya
Head of DevOps, Lenskart
Murali Tirupati
CEO, VaultEdge
Manish Dhingra
Co-founder and CEO, Mediology Software
Shivaprasad KT
CEO, Ganit Inc.
Prasanna Ranganathan
Founding Member, epifi
Manish Mohta
Managing Director, Learning Spiral Private Limited
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
Girisha Garg
Sr. Technical Trainer, Amazon Internet Services Private Limited
Suresh M Khadakbhavi
Asst. Vice President, Innovation Lab, Bangalore International Airport Limited
Saurabh S
CEO, Intello Labs
Akshat Bal Dikshit
Director, Data & Analytics, PwC India
Sachin Chawla
Country Manager & Head - Digital Native Business (DNB), India and South Asia, Amazon Internet Services Private Limited
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
Head of Solutions Architecture, AWS Specialized Services, Amazon Internet Services Private Limited
Kumara Raghavan
India Head, Startup Sales, Amazon Internet Services Private Limited
Dev Ramnane
Head Startup Sales, North, Amazon Internet Services Private Limited
Pandurang Nayak
Head Startup Solutions Architect, Amazon Internet Services
Yogesh Lele
Head Startup Sales - West, Amazon Internet Services Private Limited
Dilip R.S
Sr. Manager, Alexa Devices and Experiences, Amazon
Kanishka Agiwal
Head – Service Lines, India/South Asia, WWPS, Amazon Internet Services Private Limited
Neha Jolly Sawhney
Digital Innovation Business Development Manager, WWPS, AWS India (AISPL)
Venkatesh Rajagopalan
Principal Solutions Architect, Autonomous Computing, Amazon Internet Services Private Limited
Komal Prajapati
Chief of Tech and Product, BetterPlace Safety Solutions Pvt Ltd
Srikanth Velamakkani
CEO, Fractal.ai
Praveen Kumar
Director, Products, Supr Daily
Navaneetha Krishnan
Vice President, Goldman Sachs India
Arpit Garg
Product, Lenskart
Praveen Jayakumar
Principal Solutions Architect, Amazon Internet Services Private Limited
Session levels designed for you
Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.
Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.
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.
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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Unlock real business value with AI and ML
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Wednesday, 15 Decemeber 2021
9:00 AM - 1:00 PM IST
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Wednesday, 15 Decemeber 2021
2:00 PM - 5:00 PM IST
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.
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.