Session Recordings are available at "https://courses.analyticsvidhya.com/courses/1729-world"

40

Speakers

11

Keynotes & Power Talks

4

Hands-on Workshops

19

Deep-dive Sessions

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    Over 40 hours of learning from 40 speakers

    Covering power talks focussed on the potential of AI, workshops to build solutions along with mentors, and deep-dive sessions where you watch and learn from experts. All addressing the real issues in careers and businesses.

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    Go live and build AI models that solve real-world problems. Nothing can come between You & AI to create an impact on the world.

    Become fit for a world of AI

    You will learn about demystifying AI, common misconceptions around AI, career track in AI, concepts & technique applications in Ai, problem-solving and more.

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    Timings


    Sessions


    09:15 AM - 10:00 AM IST

    09:15 AM - 10:00 AM IST Opening Keynote

    Keynote

    SRIKANTH VELAMAKANNI, CO-FOUNDER, GROUP CHIEF EXECUTIVE & VICE-CHAIRMAN, FRACTAL


    10:00 AM - 10:30 AM IST

    10:00 AM - 10:30 AM IST Career Choices in AI and Analytics

    Power Talk

    AAMOD SATHE, DIRECTOR AND ANALYTICS LEAD - HOME AND WORK, META US

    How do you think about your AI/Analytics career? Do you know where you stand? Like every good analysis the answers…

    How do you think about your AI/Analytics career? Do you know where you stand? Like every good analysis the answers start with asking good questions. In this session, Aamod Sathe will share his thoughts on how to think about your careers. Aamod is a veteran of the analytics/AI industry with almost 20 years of experience in digital ads, fintech, product and marketing. Aamod currently leads analytics for Meta’s Reality Labs helping build the Metaverse.

    Key Takeaways:

    • Careers are not destinations, they are journeys. The more you can plan and enjoy every step the more fulfilling your journey
    • Learn how the best technology companies think about AI/Analytics
    • Learn how to change your mindset to grow your analytics career


    Timings


    Sessions


    10:45 AM - 12:15 PM IST

    10:45 AM - 12:15 PM IST Exploring Network Clusters

    Deep-Dive

    ANAND S, FOUNDER AND CEO, GRAMENER

    Clustering is an unsupervised learning algorithm that has a lot of value to add when it comes to the grouping…

    Clustering is an unsupervised learning algorithm that has a lot of value to add when it comes to the grouping of data in a dataset. Entities in each group are comparatively more similar to entities of that group than those of the other groups. This talk explores network clustering as an approach for insights. We’ll explore real-world movie datasets — and show which actors are close to each other, and which film industries are most isolated. We’ll then see how network clustering can be applied to product networks, patent networks, and sports networks, and give you a comprehensive, industry-level understanding of the same.

    Key Takeaways for the Audience:

    • How to get insights and patterns from the data even when there are no numbers
    • Understand network analysis and community structure detection
    • Understand applications of Network Analysis in the industry


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    01:00 PM - 02:30 PM IST

    01:00 PM - 02:30 PM IST Building Data Pipeline on AWS using Python and SQL

    Deep-Dive

    DURGA GADIRAJU, FOUNDER AND DIRECTOR, ITVERSITY CO-FOUNDER AND CTO, ANALYTIQS, INC.

    Data Pipelines have enabled us to unlock the potential of utilizing big data. Companies are now able to optimize data…

    Data Pipelines have enabled us to unlock the potential of utilizing big data. Companies are now able to optimize data transfer while securing it at the same time. With data collection, transformation, and transfer reaching new highs it had become necessary for companies to optimize costs and thus, shift this process to the cloud.
    In this deep dive, we will build an end-to-end data pipeline using Python and SQL on AWS. You will be learning about several key services such as AWS s3, DynamoDB (for bookmarking), Cloudwatch (for monitoring), Lambda, ECR, Glue Catalog, Athena, etc along with Docker
    Key Takeaways:

    • Architectural Overview of building end-to-end data pipeline using AWS Services
    • Deploy Complex Python applications as Lambda Functions
    • Build and Push custom Docker Images to ECR so that they can be used to configure Lambda Functions
    • Relevance of Bookmarking and Job Run Details using tables in Dynamodb
    • Configure s3-based Lambda Triggers


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    10:45 AM - 12:15 PM IST

    10:45 AM - 12:15 PM IST Hands-On Introduction to Time Series Forecasting

    Deep-Dive

    Dheeraj Singh


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    09:45 AM - 10:30 AM IST

    09:45 AM - 10:30 AM IST Product Thinking for Building Data Science Assets

    Power Talk

    ERIC WEBER, SENIOR DIRECTOR, STITCHFIX

    Not everything we build in data science should be long lasting, but there are some investments that turn into long…

    Not everything we build in data science should be long lasting, but there are some investments that turn into long term assets, necessitating careful management, development and improvement.

    This session focuses on the value of product thinking for building data science assets. Given the “one-off” nature of many data science projects, Eric will focus on some ideas about how to identify when a data asset should become a product and how to manage it like one.

    Key Takeaways:

    • How to initiate product thinking for building data science assets
    • Managing a product


    10:30 AM - 12:15 PM IST

    10:30 AM - 12:15 PM IST No Active Session on Main-Stage


    Timings


    Sessions


    10:45 AM - 12:15 PM IST

    10:45 AM - 12:15 PM IST Scalable ML Platform to Deploy a Recommendation System

    Deep-Dive

    ABHISHEK CHOUDHARY CO-FOUNDER TRUFOUNDRY, EX-FACEBOOK US, AND BADAL SINGH, FOUNDING ARCHITECT, TRUEFOUNDRY, EX-AMAZON US

    While scaling machine learning platforms, key questions like Experiment Tracking, Deployment, Monitoring, Model to Frontend for easy Demoing, etc always…

    While scaling machine learning platforms, key questions like Experiment Tracking, Deployment, Monitoring, Model to Frontend for easy Demoing, etc always confuse people. In this deep dive we will go through Scaling a machine learning platform by taking a Recommendation Model and using the platform to log and compare experiments in it.

    Key Takeaways-

    • What are the key components of a ML System?
    • A Sample architecture of a ML Platform – personal experience of building TrueFoundry and choices
    • Using a platform to deploy a Recommendation model seamlessly through it
    • Thinking of and tracking your System metrics and what they mean


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    10:45 AM - 12:15 PM IST

    10:45 AM - 12:15 PM IST Hands-on Introduction to AWS

    Deep-Dive

    Austin Noronha & Andres Diana


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    09:45 AM - 01:00 PM IST

    09:45 AM - 01:00 PM IST Analyzing US City Open data using Apache Spark

    Workshop

    RAGHU RAMAN AV, MENTOR , SUBJECT MATTER EXPERT - CLOUD BIG DATA AND EMERGING TECHNOLOGIES

    In this session, we focus on learning the fundamentals of Apache Spark, one of the most popular Big Data Analytics…

    In this session, we focus on learning the fundamentals of Apache Spark, one of the most popular Big Data Analytics tools. We start with a brief intro and dive right into an immersive hands-on session. The session focuses on exploring Spark as a Data Engineering tool by picking up an open dataset from US government data repository.

    Key Takeaways:

    • Understand and appreciate Spark as an open-source tool for Big Data exploration
    • Get basic knowledge of working with Spark SQL
    • learn tricks to manipulate the data using graphs and charts


    01:00 PM - 02:30 PM IST

    01:00 PM - 02:30 PM IST Lunch Break


    Timings


    Sessions


    09:15 AM - 10:00 AM IST

    09:15 AM - 10:00 AM IST Ethics and Responsibility in the Age of AI

    Keynote

    DR. ROHINI SRIVATHSA

    The pace at which artificial intelligence (AI) is advancing is remarkable. As we look out at the next few years,…

    The pace at which artificial intelligence (AI) is advancing is remarkable. As we look out at the next few years, one thing is clear: AI will be celebrated for its benefits but also scrutinized and, to some degree, feared. It is crucial that for AI to benefit everyone, it is developed and used in ways that warrant people’s trust. Conversations around topics like fairness and privacy are important in the context of intelligent systems that are increasingly making decisions that thus far were only made by humans. These conversations are complex, contextualized and require the engagement of societies globally.
    After offering the “Why”, this talk will outline a set of principles for defining ethics and responsibility in the age of AI: the “What”. While principles are necessary, having them alone is not enough. The hard and essential work begins when you endeavor to turn those principles into practices: the “How”. Building blocks for operationalizing responsible AI include tools and techniques, but also require practices, governance mechanisms, standards as well as policy and regulatory interventions. AI ethics and responsibility is an evolving field with people across industry, academia, governments, and policy makers actively engaged, and the talk will summarize some of the recent developments in this space.

    Key Takeaways:

    • Why is ethics and responsibility in the age of AI a topic that requires everyone’s engagement?
    • What is responsible AI?
    • How to operationalize ethics and responsibility in AI, turn principles into practice?


    10:00 AM - 10:30 AM IST

    10:00 AM - 10:30 AM IST Bringing Intelligence to BI

    Power Talk

    RAJAT MONGA, CO-FOUNDER, CEO, INFERENCE.IO, EX-HEAD TENSORFLOW - DISTINGUISHED ENGINEER/SR. DIRECTOR, GOOGLE US

    AI has seen a lot of advancements over the last decade. These are visible in consumer products such as the…

    AI has seen a lot of advancements over the last decade. These are visible in consumer products such as the assistants – Alexa, Siri, OK Google – better experiences such as Photos, and in something billions of people use every day – Google Search. There’s also amazing research pushing science forward – AlphaGo beating the world champion at Go and AlphaFold mastering protein folding – the latter has a huge impact on future drug discoveries.
    This talk will discuss how AI can help businesses as well, by leveraging their data to improve business performance and how AI is shaping the future of BI.

    Key Takeaways-

    • How businesses are efficiently integrating AI to improve the customer experiences
    • The future of AI in business


    Timings


    Sessions


    10:45 AM - 12:15 PM IST

    10:45 AM - 12:15 PM IST Getting Quick Wins with Pre-Trained Models

    Deep-Dive

    RAJIV SHAH


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    10:45 AM - 12:15 PM IST

    10:45 AM - 12:15 PM IST Solving Taxi and Delivery Fleet Routing Problems with RL

    Deep-Dive

    DR. HARSHAD KHADILKAR, SENIOR DATA SCIENTIST, DATA AND DECISION SCIENCES, TCS RESEARCH

    In this highly competitive taxi service industry, anticipating the location of future customer requests and accordingly selecting routes is critical…

    In this highly competitive taxi service industry, anticipating the location of future customer requests and accordingly selecting routes is critical to gaining a competitive advantage. Such strategically selected routes would lead to shorter wait times for customers and reduced fuel costs for taxi drivers.
    In this talk, we will discuss algorithms to achieve this goal both for the traditional scenario where a customer hires the entire taxi as well as the more recent ride-sharing model. Through extensive empirical evaluation of real datasets, we will present evidence that the proposed strategies lead to up to 70% shorter waiting times for customers, 40% more customers, and a 20% lower rejection rate.

    Key Takeaways:

    • Efficient Route recommendation overview
    • Understanding how apt models reduce cost and increase revenue
    • Impact of Reinforcement learning on the cab-industry


    12:15 PM - 01:00 PM IST

    12:15 PM - 01:00 PM IST Lunch Break


    Timings


    Sessions


    10:00 AM - 01:00 PM IST

    10:00 AM - 01:00 PM IST Build an Image Classification Model

    Workshop

    BHASKARJIT SARMAH


    01:00 PM - 02:30 PM IST

    01:00 PM - 02:30 PM IST Lunch Break


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        Fractal is a leading player in the AI and enterprise decision-making space. Fractal brings AI, engineering, and design to help the world's most admired Fortune 500® companies.

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