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Submission: On November 18 via manual from IN — Scanned from US
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Amazon Elastic TranscoderEasy-to-use scalable media transcoding
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AWS Elemental MediaLiveConvert live video content
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AWS Server Migration ServiceMigrate on-premises servers to AWS
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Amazon VPCIsolated cloud resources
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Amazon Route 53Scalable domain name system (DNS)
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AWS Cloud MapService discovery for cloud resources
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Amazon BraketExplore and experiment with quantum computing
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AWS IoT RoboRunnerBuild applications that help robot fleets work together
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Amazon AI Conclave
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21 DECEMBER, 2022
10:00 AM IST – 5:00 PM IST
EMPOWERING BUSINESSES TO MAKE REAL IMPACT WITH AI & ML
Join us for the 6th edition of Amazon AI Conclave, a conference that aims to
help builders and businesses make smart, customer-centric, scalable solutions in
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Accelerate innovation, scale effortlessly, and create real impact for your
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WHO SHOULD ATTEND?
DATA SCIENTISTS, DEVELOPERS AND AI/ML PRACTITIONERS
GET HANDS-ON AND STEP-BY-STEP ARCHITECTURAL AND DEPLOYMENT BEST PRACTICES
BUILDING COMPUTER VISION ML APPLICATIONS ON AWS
EXPLORE ML OPS ON AWS
EARN A CERTIFICATE OF ATTENDANCE
CONNECT 1:1 WITH AWS EXPERTS FOR INSIGHTS ON BUILDING WITH AWS AND CLOUD
COMPUTING
--------------------------------------------------------------------------------
DATA CXOS AND BUSINESS LEADERS
LEARN HOW AI IS CHANGE THE WAY WE DO BUSINESS TODAY WITH THE ‘AI STATE OF THE
UNION’ KEYNOTE
HEAR HOW COMPANIES AROUND THE WORLD AND ACROSS ALL INDUSTRIES ARE LEVERAGING
AWS AI AND ML
EXPLORE WAYS TO BOOST REVENUE BY CREATING NEW PRODUCTS WITH AI AND ML
HEAR FROM AWS AI AND ML EXPERTS AND INDUSTRY LEADERS
AGENDA
* KEYNOTE - AI STATE OF THE UNION
Join this session to hear Vikram Anbazhagan, Director & General Manager,
Amazon AI, Amazon Web Services, as he discusses the latest AWS innovations
that can help you transform your organization's DNA, to gain meaningful and
actionable insights for your business.
In this technical keynote, he discusses the key components of a future-proof
artificial intelligence and machine learning (AI & ML) strategy, and how you
can empower your organization to drive the next wave of modern invention on
AWS.
Speaker: Vikram Anbazhagan, Director & General Manager, Amazon AI, Amazon Web
Services
Time: 10:00am - 10:45am
* OPTIMIZING THE PERFORMACE OF YOUR AWS CLOUD WITH AI AND INTEL
Artificial intelligence (AI) is a key enabler of digital transformation; and
businesses must prepare for an AI-led future to solve real-world challenges.
In this session, learn how to democratize and build AI for your organization
at critical performance and impact on the Intel technologies powered Amazon
Elastic Compute Cloud (Amazon EC2) platform. Reimagine the future with
disruptive, fast, and efficient AI.
Speaker: Akanksha Balani, AWS APJ Alliance Head @ Intel & Global AI, HPC GTM
Lead, Intel
Time: 10:45am - 11:15am
* ACCELERATING YOUR ML JOURNEY WITH LOW-CODE TOOLS
The machine learning (ML) journey requires continuous experimentation and
rapid prototyping to be successful. In order to create highly accurate
models, data scientists have to first experiment with feature engineering,
model selection, and optimization techniques. These processes are
traditionally time consuming and expensive.
In this session, learn how low-code tools, including Amazon SageMaker Data
Wrangler, Amazon SageMaker Autopilot, and Amazon SageMaker JumpStart make it
easier to experiment faster and bring highly accurate models to production
more quickly and efficiently.
Speaker: Guru Bala, Head of Specialist Solutions Architect, Amazon Internet
Services Private Limited
Time: 11:15am - 11:45am
* BREAKOUT TRACKS
* AI Developer track
* AI Engineers and Scientist track
* AI and ML Stories track
* AI/ML for Business Applications track
* AI Developer track
* Training ML models at scale with Amazon SageMaker
Training machine learning (ML) models at scale often requires significant
infrastructure investment.
In this session, learn how Amazon SageMaker Model Training activates
training and tuning of large-scale ML models with high performance, and
without the need to manage infrastructure. Explore how Amazon SageMaker
Model Training makes it easy to checkpoint models during training and
automatically restarts the job on certain types of failures. Additionally,
hear about how Amazon SageMaker Model Training offers tools for activating
faster distributed training with libraries for data parallelism and model
parallelism, model tuning to accelerate hyperparameter optimization, and
more.
Speaker: Vatsal Shah, Senior Solutions Architect, Amazon Internet Services
Private Limited
Time: 11:45am - 12:30pm
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Accelerating your team with the next generation of Amazon SageMaker
notebooks
In this session, discover how to use quick-start, collaborative Amazon
SageMaker Studio notebooks to increase developer productivity and support
collaboration across all steps in your ML development.
We showcase the newest built-in capabilities of SageMaker Studio notebooks
during this deep-dive session, and discuss how Jupyter notebooks can reach
their full potential with SageMaker.
Speaker: Rahul Shringarpure, Principal Startup Solutions Architect, Amazon
Internet Services Private Limited
Time: 12:30pm - 1:15pm
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Designing patterns for hosting ML models on Amazon SageMaker
In this session, learn how to navigate and leverage the wide variety of
options that Amazon SageMaker has to offer, for the hosting of models that
help customers maximize their machine learning workloads. We explain the
various layers, serving stack, and multiple design solutions, and work
towards a blue print for maximizing performance for hosting.
We showcase the newest feature of inferencing in Amazon SageMaker, from
hosting multi models in GPU to hosting large models. Learn how to reach
your full potential with Amazon SageMaker.
Speaker: Dhiraj Thakur, Senior Solutions Architect, Amazon Internet
Services Private Limited
Time: 2:00pm - 2:45pm
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Implementing MLOps practices using Amazon SageMaker
Machine learning operations (MLOps) tools help you automate, standardize,
and govern processes across the ML lifecycle to productionize ML models
faster and maintain model quality in production. Amazon SageMaker provides
an enterprise level platform with a breadth of MLOps tools to train, test,
troubleshoot, deploy, and govern ML models at scale
In this session, learn how to quickly setup and standardize data science
environments as well as dive deep into Amazon SageMaker MLOps features,
including Amazon SageMaker Feature Store, Amazon SageMaker Pipelines,
Amazon SageMaker Projects, Amazon SageMaker Experiments, Amazon SageMaker
Model Registry, and Amazon SageMaker Model Monitor. Find out how you can
increase efficiency and improve the quality of your ML workflows.
Speaker: Gaurav Singh, Solutions Architect, Amazon Internet Services
Private Limited
Time: 2:45pm - 3:30pm
* AI Engineers and Scientist track
* Building more inclusive and responsible AI
Artificial intelligence (AI) and machine learning aid society in tackling
some of its most challenging problems, and help businesses improve
customer experience and spur innovation. With the growing use and scale of
AI comes the recognition that it should be used responsibly, respecting
human rights, human dignity, and fundamental values such as equity,
privacy, and fairness.
In this session, hear about the challenges and issues faced by
organizations that are working to put responsible AI principles AI
theories into practice.
Speaker: Rahul Sureka, Enterprise Solutions Architect, Amazon Internet
Services Private Limited
Time: 11:45am - 12:30pm
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Getting the most out of your data with search powered by machine learning
Data fuels innovation, and innovation helps organizations stay ahead of
the curve. Finding the right data at the right time is critical to
businesses in any industry.
Attend this session to learn how Amazon Kendra, an intelligent search
service powered by machine learning, can transform the way you discover
insights. Hear case studies that discuss how customers were able to create
a fully functional search application for better employee productivity and
exceptional customer experience.
Speaker: Vijai Gandikota, Senior Product Manager, AWS Kendra, Amazon Web
Services
Time: 12:30pm - 1:15pm
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Improving uptime with predictive maintenance for industrial equipment
Predictive maintenance is an effective way to avoid industrial machinery
failures and expensive downtime, by proactively monitoring the condition
of your equipment. It ensures that you are alerted to any anomalies before
equipment failures occur. However, this technology has been difficult to
implement.
In this session, learn how industrial customers are activating predictive
maintenance and avoiding downtime with AI services from AWS such as Amazon
Monitron, which requires no machine learning experience.
Speaker: Sudhanshu Hate, Principal AIML Specialist Solutions
Architect, Amazon Internet Services Private Limited
Time: 2:00pm - 2:45pm
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Expert talk on natural language processing
In this session, we discuss a question-answer based approach for medical
entity relationship extraction using sequence-to-sequence transformers.
Relationship extraction from different kinds of documents across business
domains can become non-trivial due to complex linguistic relations like
distance between entities, overlapping entities within a relationship
span, and of prohibitive annotation requirements. We present one of our
solutions that addresses these issues and produces state-of-the-art
results for extracting relation between adverse drug events (ADE) and
suspected drug, from various unstructured data sources including clinical
study reports, patient health records, and social media posts.
We also talk about a comparative study of post-hoc explanation methods for
human understandable text classification. Transformer-based models have
been successfully applied to many real-world text classification problems
with state-of-the-art performance. However, the opaque nature of these
models impedes deployment in highly regularized and sensitive domains such
as finance and health care where decision transparency is required. It is
therefore crucial to explain model decisions to users in such cases.
Though many explanation methods have been proposed in the past few years,
there lacks a thorough understanding of their performances and trade-offs
for the productionization of these methods.
Join this session, as we share our insights from a wide-range of
experiments to answer which algorithm to use for productionization,
considering practical issues such as robustness across models and
datasets, computational cost, and understandability for users.
Speakers:
* Atanu Roy, Senior Manager, ML Solutions Lab, Amazon Internet Services
Private Limited
* Tomal Deb, Data Scientist, ML Solutions Lab, Amazon Internet Services
Private Limited
Time: 2:45pm - 3:30pm
* AI and ML Stories track
* Accelerated RoBERTa deployment leveraging distributed training
RoBERTa is currently a pioneer in advancing self-supervised systems by
robustly optimizing the method for pre-training natural language
processing (NLP) systems that improve on BERT. Amazon SageMaker enables
customers to train, fine-tune, and run inference.
Join this session to learn how CACTUS Communications leveraged Amazon
SageMaker distributed training to train RoBERTa models.
Speakers:
* Praveen Jayakumar, AI/ML Solutions Architect Leader, India, AISPL
* Jalaj Thanaki, Principal Data Scientist, CACTUS Communication
Time: 11:45am - 12:30pm
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Observe.AI - Best way to host cost effective-high throughput language
models
Observe.AI offers a conversational AI-driven software as a service (SaaS)
product that transforms contact centers; by using AI to analyze customer
interactions across channels, boost agent performance, and automate
workflows that accelerate sales and retention. Language models like BERT
are core to the intelligence offered by Observe.AI. As part of their
journey to build a scalable, highly performant, and low-cost inferencing
platform, Observe.AI explored various solutions across AWS, open source,
and third party.
Join this session to learn how Observe.AI evaluated various solutions and
ported their model to AWS Inferentia for a cost-effective solution.
Speakers:
* Venkatramana Ameth Achar, Solutions Architect, Amazon Internet Services
Private Limited
* Sai Guruju, Senior ML Engineer, Observe.AI
Time: 12:30pm - 1:15pm
--------------------------------------------------------------------------------
Meesho leveraging AI & ML to solve e-commerce problems for next billion
users of India
Join this session to find out how Meesho is using AI and ML across the
e-commerce platform. Deep dive into representation learning based
retrieval to drive multi-staged ranking systems for recommendations across
real-estate. Get an overview of the deep learning models and the
architecture which powers these retrieval systems.
In this session, learn how industrial customers are activating predictive
maintenance and avoiding downtime with AI services from AWS such as Amazon
Monitron, which requires no machine learning experience.
Speakers:
* Rajesh Kumar SA, Director of Data Science, Meesho
* Abhay Shukla, Data Scientist, Meesho
Time: 2:00pm - 2:45pm
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Fidelity Investments AI & ML platform journey
In this session, get to know how Fidelity Investments built an AI & ML
platform using Amazon SageMaker focusing on serverless MLOps to provide a
seamless customer experience and achieve operational success, without
building additional tooling for model monitoring. Learn about their
streaming platform performance optimization through an automated
performance test to capture result set from all the applications, to
analyze, develop models to predict optimized values, and train and test
them.
Speakers:
* Avishek Pradhan, Director of Workplace Investing business, Fidelity
Investments
* Ramanathan Natarajan, Director Architecture, MLOps & Advanced
Analytics, Fidelity Investments
Time: 2:45pm - 3:30pm
* AI/ML for Business Applications track
* AI Impacts @ Yubi
Yubi (formerly known as CredAvenue) is a fully integrated debt financing
platform that helps discover, trade, execute, and fulfil debt solutions
for investors. They have over 2,300 corporates and 750 lenders on the
platform. They recently became a unicorn and have built their complete
tech stack on AWS. Data plays a major role in Yubi’s mission to change the
debt landscape in India, as they use it to solve complex problems.
Yubi has multiple varieties of data, ingested from both internal and
external sources. The rich public data that is available on enterprise
borrowers plays a fundamental role in their recommendation, match making,
and scoring engines. They also have collections applications that deal
with analysing user experience and compliance monitoring. They use MLflow
as a model repository and use Amazon SageMaker for model development and
deployment. They also use Amazon Textract to extract data from external
documents and use Amazon SageMaker Ground Truth for labelling. Through the
use of Amazon SageMaker, they have cut down by 50% the time spent by data
scientists on productionizing models.
Join this session to hear more about how Yubi leverages services provided
by AWS.
Speakers:
* Mathangi Sri, Chief Data Officer, Yubi (CredAvenue)
* Vivek Murugesan, Vice President, ML Engineering, Yubi (CredAvenue)
Time: 11:45am - 12:30pm
--------------------------------------------------------------------------------
Contact Center Intelligence on legacy on-premises telephony
Digital Risk, a mortgage BPM (business process management) subsidiary of
Mphasis Limited, India, uses on premises based legacy contact center
platforms. One of them is from Mitel Networks Corporation, which handles
thousands of calls per day. Through Contact Center Intelligence (CCI)
powered by AWS AI & ML stack, Digital Risk sought to transform their agent
experience and also gain insights for supervisors, analysts, and business
leaders. They were particular about having a voice platform-agnostic
intelligence layer which can be placed on top of any existing or new
contact center infrastructure. On-the-call knowledge management by agent
is simplified using NLP-powered search index with Amazon Textract and
Amazon Comprehend. Join this session to hear about Digital Risk's use of
AI & ML services from AWS.
Speakers:
* Ramanuj Vidyanta, AI & Machine Learning Strategy & Business Development
Specialist, Amazon Internet Services Private Limited
* Sanjiv Kumar Shrivastava, Vice President and Head of Technology,
Automation, Digital Transformation, Mphasis Limited
Time: 12:30pm - 1:15pm
--------------------------------------------------------------------------------
Building an AI & ML solution for fraud and risk management
A client had their machine learning workload divided between local and
AWS, with a lack of automation at every flow. The client wanted to fully
utilize AWS MLOps capabilities and automate their existing system with
minimal human intervention. The business impact – reducing manual
intervention in auto detection of fraud.
Join this session to learn how we incorporated entire Amazon SageMaker
pipelines to pre-process the large variety of their datasets, and build
the optimal model. We used in-built Amazon SageMaker algorithms to build
the model and save it into model registry along with CI/CD pipelines. Gain
insights on how we did this using multiple offerings from Amazon
SageMaker, including Amazon SageMaker processing jobs, Amazon SageMaker
Data Wrangler, and Amazon SageMaker Clarify.
Speakers:
* Bhavesh Goswami, CEO & Founder, CloudThat
* Dev P, CTO, Kisetsu Saison finance India Pvt. Ltd
Time: 2:00pm - 2:45pm
--------------------------------------------------------------------------------
Using Amazon Textract for document processing automation
In the mortgage industry there is a huge amount of data and documents to
be collected. Physically managing and extracting the right information
from these documents is a challenging and time-consuming process. To solve
this problem, Indecomm Global services uses Amazon Textract and Amazon
SageMaker to automate documenting processing. They are able to process
thousands of documents in a very short time frame, extract relevant
information with a high level of accuracy, and initiate the next steps in
the process using this information.
Attend this session to learn more about how AWS services are leveraged by
the mortgage industry for document processing.
Speakers:
* Praveen Hosur Narayanagupta, Solutions Architect, Amazon Internet
Services Private Limited
* Dr. Harish B Kamath, SVP, Engineering, Indecomm
Time: 2:45pm - 3:30pm
BREAK (1:15PM - 2:00PM)
VIRTUAL BOOTH SHOWCASE (3:30PM - 5:00PM)
FEATURED SPEAKERS
VIKRAM ANBAZHAGAN
Director & General Manager, Amazon AI, Amazon Web Services
GURU BALA
Head of Specialist Solutions Architect, Amazon Internet Services Private Limited
AKANKSHA BALANI
AWS APJ Alliance Head @ Intel & Global AI, HPC GTM Lead, Intel
VAISHALI KASTURE
Director Enterprise Segment, AISPL
HARJYOT SONI
Director - Enterprise Support, AISPL
SUNDAR VG
Director, Business Development, AISPL
KUMARA RAGHAVAN
India Head of Startup Business, AISPL
SESSION LEVELS DESIGNED FOR YOU
LEVEL 100: INTRODUCTORY
Sessions are focused on providing an overview of AWS services and features, with
the
assumption that attendees are new to the topic.
LEVEL 200: INTERMEDIATE
Sessions are focused on providing best practices, details of service features
and demos with the assumption that attendees have introductory knowledge of the
topics.
LEVEL 300: ADVANCED
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 .
LEVEL 400: EXPERT
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.
LEARN MORE ABOUT AI & MACHINE LEARNING ON AWS
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of all deep learning projects in the cloud run on AWS
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Frequently Asked Questions
* Where is Amazon AI Conclave Online hosted?
Amazon AI Conclave Online is an online conference.
* Who should attend Amazon AI Conclave Online?
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.
* Are there sessions in other languages?
All content will be in English.
* What is the price of attending Amazon AI Conclave Online?
Amazon AI Conclave Online is a free online conference.
* How can I contact the online conference organizers?
If you have questions that have not been answered in the FAQs above, please
email us.
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