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Session Recordings are available at "https://courses.analyticsvidhya.com/courses/1729-world"
Speakers
Keynotes & Power Talks
Hands-on Workshops
Deep-dive Sessions
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.
Go live and build AI models that solve real-world problems. Nothing can come between You & AI to create an impact on the world.
You will learn about demystifying AI, common misconceptions around AI, career track in AI, concepts & technique applications in Ai, problem-solving and more.
Where do you see AI in 5 years? What are the key trends that will shape this industry and your career? Our much-anticipated keynotes at 1729 offer you a unique perspective from senior leaders and thought experts on the future of AI and how to build your path to get there.
Learn about the “ground reality” of artificial intelligence and machine learning. From real-world business case studies in AI to busting myths about building your machine learning career, hear and learn from experienced industry leaders from across the globe.
What better way to understand the power of AI and machine learning than seeing an expert building a solution in front of your eyes? Each Deep Dive session offers a comprehensive and interactive look at how an expert solves an industry-relevant problem statement. Watch and learn about analytics, storytelling, machine learning, deep learning and much more!
Time to get into action! Each hands-on workshop is aimed towards making sure you learn Artificial Intelligence and Machine Learning by doing it yourself. No more lectures – just code with the help of experts.
09:15 AM - 10:00 AM IST
09:15 AM - 10:00 AM IST Opening Keynote
KeynoteSRIKANTH 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 TalkAAMOD 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 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:
10:45 AM - 12:15 PM IST
10:45 AM - 12:15 PM IST Exploring Network Clusters
Deep-DiveANAND 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 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:
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
01:00 PM - 02:30 PM IST
01:00 PM - 02:30 PM IST Building Data Pipeline on AWS using Python and SQL
Deep-DiveDURGA 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 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:
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
10:45 AM - 12:15 PM IST
10:45 AM - 12:15 PM IST Hands-On Introduction to Time Series Forecasting
Deep-DiveDheeraj Singh
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
09:45 AM - 10:30 AM IST
09:45 AM - 10:30 AM IST Product Thinking for Building Data Science Assets
Power TalkERIC WEBER, SENIOR DIRECTOR, STITCHFIX
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:
10:30 AM - 12:15 PM IST
10:30 AM - 12:15 PM IST No Active Session on Main-Stage
10:45 AM - 12:15 PM IST
10:45 AM - 12:15 PM IST Scalable ML Platform to Deploy a Recommendation System
Deep-DiveABHISHEK 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 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-
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
10:45 AM - 12:15 PM IST
10:45 AM - 12:15 PM IST Hands-on Introduction to AWS
Deep-DiveAustin Noronha & Andres Diana
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
09:45 AM - 01:00 PM IST
09:45 AM - 01:00 PM IST Analyzing US City Open data using Apache Spark
WorkshopRAGHU 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 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:
01:00 PM - 02:30 PM IST
01:00 PM - 02:30 PM IST Lunch Break
09:15 AM - 10:00 AM IST
09:15 AM - 10:00 AM IST Ethics and Responsibility in the Age of AI
KeynoteDR. ROHINI SRIVATHSA
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:
10:00 AM - 10:30 AM IST
10:00 AM - 10:30 AM IST Bringing Intelligence to BI
Power TalkRAJAT 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 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-
10:45 AM - 12:15 PM IST
10:45 AM - 12:15 PM IST Getting Quick Wins with Pre-Trained Models
Deep-DiveRAJIV SHAH
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
10:45 AM - 12:15 PM IST
10:45 AM - 12:15 PM IST Solving Taxi and Delivery Fleet Routing Problems with RL
Deep-DiveDR. 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 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:
12:15 PM - 01:00 PM IST
12:15 PM - 01:00 PM IST Lunch Break
10:00 AM - 01:00 PM IST
10:00 AM - 01:00 PM IST Build an Image Classification Model
WorkshopBHASKARJIT SARMAH
01:00 PM - 02:30 PM IST
01:00 PM - 02:30 PM IST Lunch Break
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