VIRTUAL SUMMIT

About Microsoft DataNext Summit

DataNext is brought to you by Analytics India Magazine, in association with Microsoft, bringing together business elite, industry leaders, solution tech experts and attendees shaping the present and future of Data, Analytics and AI.

Each session will delve deeper into focused thought-leadership content, best practices and megatrends supplemented with exclusive live showcases of technological innovations, immersive demos and hands-on labs.

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Agenda

Title

Opening session: Natural intelligence: Teaching humans to use data

Anand S, CEO, Gramener

Spotlight session: Analytics and Data Science for Ecommerce – An overview and use cases on customer experience

At Flipkart, there is a deep focus on leveraging Data, Analytics and Machine Learning (ML) in improving all aspects of consumer experience in E-commerce. This talk will cover real-world use cases in the application of Analytics and ML in improving our app experience, assortment variety, product quality and delivery experience.

Microsoft keynote: Future of Decisions: A Chief Digital Officer’s ‘Top of Mind’

Perspective on what is on top of mind for CDOs and leveraging data to help businesses evolve.
Roundtable: How CDOs can enable data-driven culture within organisations

Dahnesh Dilkhush, Chief Technology Officer – Azure, Microsoft India
Meduri Ravi Kumar, Executive Vice President – IP and Digital Solutions – Innominds
Ajay Agrawal, SVP, Global Head of Analytics and Artificial Intelligence, Center of Excellence – Happiest Minds Technologies
Gokulraj Perumal, Software Services Associate Principal – eClerx
Gaurav Mehta, Angel Investor, Entrepreneur and Global Head – Alliances and Analysts Relations – Capillary Technologies
Rohit Kilam, Chief Technology Officer – CMS Info Systems
Rajesh Pawar, SVP – Global Delivery (Digital Engineering Services) – Cigniti Technologies

Moderated by:

● The critical importance of building data cultures
● State of data & analytics adoption and risks
● Building an innovation culture & and info-savvy organisation
● The relationship & synergies between CDO/ CIO/ CTO and influence on other decision makers

Tech Roundtables

Accelerated digital transformation roadmap of banking and fintech

Swapna Bapat, Senior Director – Data & AI, Microsoft India
Srivatsa Subbanna Vice President – Analytics, Data Science and AI, Maveric Systems Ltd
Srinidhi Shama Rao Chief Strategy Officer, Aegon Life
Puneet Shivam President, US, and Co-head, Enterprise Technology & Services, Avendus
Armish Sonkar Head of Data Science, Risk & Data Engineering, Eko
Gouri Shankar Yadav Head – Analytics & Decision Management, Shubham Housing Development Finance Company
Prabhu Rangarajan Co-founder, M2P Fintech
Ankush Gadi Director – Data Management & Analytics, CRISIL Limited

● The rising partnership and best practices of traditional banks & fintech organizations
● Building a modern data strategy for securing data on cloud
● Revising security regulations and policies in the data modernization environment
● Redefining strategic priorities across elevated customer experience with a balance between scale, experience, and security
● Understanding customer data, challenges, and preferences, using data analytics for hyper-personalization
● Capitalizing on Customer Analytics Tools, delivering real value from AI investments

 

Rethink their data strategies, a priority for digital-native companies

Sunita Kannan, Data and AI Solutions Lead, APJ of Microsoft Corporation
Saurabh Agrawal SVP – Analytics & CRM, Lenskart.com
Arun Pai SVP – Head of Analytics and Decision Sciences at Dream11
Karthik Sivakumar Head of Data Products at Pine Labs
Anand Tuli Head Of Analytics and Decision Sciences at Vedantu
Ravindra Yadav Senior Director – Data Science, Meesho

● Personalisation, when & how
● Questioning the technological infrastructure of data
● Insights-based data collection // unifying data and accelerate insights
● Future of work in hybrid
● Responsible AI & ML
● Key obstacles faced
● Unleashing the full potential of the data lake & data warehouse across hybrid environments
● Deploying the right cloud infrastructure with the latest AI frameworks and analytics capabilities
● Effective ways of securing data, matching the speed of digital transformation

Unlock value from data in real-time in a post-COVID retail world

Bhavana Yerrumreddy, Country Leader – Retail, Healthcare & Growth Vertical, Microsoft India
Rishit Jain, Product Management Leader – Digital, Data Science and IoT products | Principal Product Manager, Tata 1mg
Pradeep Jayaraman, Terminal Head – Adani Mundra Container Terminals & RORO Operations at Adani Ports and SEZ
Srinivas Gopinath, Head – Digital and Analytics at Aditya Birla Fashion and Retail Ltd.
Vineet Shukla, Group Vice President at Mahindra Group
Sudip Mitra, SVP at Aditya Birla group
Moderated by:

● Lack of a unified data strategy
● Impact on real-time insights generation and accelerated speed to service
● Challenges faced by companies in transforming data strategy of the organisation (including database technology)
● Processing, analysing and managing data in the cloud environment
● Enhancing data visibility and managing unstructured data
● Developing a robust unified data strategy and decoding data modernisation for a next-gen enterprise
● Power of prediction
● Management of the data lake, data governance, and data analytics platform
● Understand the entry barriers for AI in your enterprise
● Innovate with AI/ML
● Balance business growth with an ethical approach

Into Focus – Data & AI: Highlights from Ignite 21

Eric Boyd, CVP AI Platform, Microsoft
Beatriz Stollnitz, Principal Cloud Advocate – Azure ML, Microsoft

AI is at the center of everything, and Azure AI provides our customers with the most comprehensive AI offering for their business needs. In this session, we’ll talk about the latest in Azure AI and how it helps you build scalable, enterprise ready and responsible AI solutions. You’ll hear from us on how we’re investing across products and infrastructure and from some of our customers on how they’re utilizing these capabilities to build state-of-the-art AI solutions for their businesses. If AI is on your mind, this session should be on your schedule.

Tech Workshops

Data Modernization
Cloud Scale Analytics

Azure AI

Future proof your business and innovate faster with a fully managed PostgreSQL database on Azure

Azure Database for PostgreSQL is fully-managed, community PostgreSQL in the Azure cloud. Focus on app innovation, not database administration, with valuable Postgres features, intelligent performance recommendations, and built-in security.

Azure Database for PostgreSQL is based on the latest community versions of PostgreSQL. It lets you continue using your favorite languages, tools, and extensions. You can provision new databases in minutes and independently scale compute and storage in seconds, knowing you’ll get built-in high availability, automatic backups and updates, and a service-level agreement of 99.99 per cent.

With turn-key horizontal scalability, Azure Database for PostgreSQL can handle even the most demanding workloads. You’ll also get advanced data security and compliance with Azure Database for PostgreSQL, you can pay as you go under a simple yet flexible pricing model, knowing that your database service is built on a world-class infrastructure with unmatched global reach.

Limitless analytics service with a unified experience possible with Azure Synapse Analytics

Azure Synapse Analytics is indeed a unified data platform that encompasses all kind of analytics engines viz. DWH, Spark (BigData) and ADX (streaming data) engines inbuilt and it's seamless integration with market leading BI (PBI) and MLOps (AML) engines. Thus it is a unified cloud-scale service that addresses all possible needs of a scalable analytics business.and often unpredictable workload patterns.

Democratizing Intelligent and Humanoid Automation with Azure Speech and Language AI

Azure's Speech and Language AI services can enable a multitude of intelligent automation use-cases built on the power of Transcription, Translation, Sentiment amd Semantic cognition. An all encompassing and cross-industry example is that of an intelligent contact center.

 

Unlock single-digit millisecond response times, instant scalability and speed with Azure Cosmos DB

Azure Cosmos DB is a fully managed NoSQL database for modern app development. Single-digit millisecond response times, and automatic and instant scalability, guarantee speed at any scale.

Business continuity is assured with SLA-backed 99.999% availability and enterprise-grade security. App development is faster and more productive thanks to
turnkey multi-master data distribution anywhere in the world, open source APIs and SDKs for popular languages.

As a fully managed service, Azure Cosmos DB takes database administration off your hands with automatic management, updates and
patching.

It also handles capacity management with cost-effective serverless and automatic scaling options that respond to application needs to match capacity with demand.

Build modern data solutions with real-time insights using Azure Synapse Analytics with Power BI
BI tools are critical for visualizing data, but when you use all your data it becomes the engine for business-changing insights. Maximize the utility of a market leading BI tool (PBI) with a unified cloud scale analytics platform (Azure Synapse Analytics) that brings speed, security, and business changing insights with combined power of DWH, BigData and Streaming Data engines.
Build & deploy accurate models in a faster & secure way with Azure Machine Learning

Azure Machine Learning empowers data scientists and developers of all skill levels to collaborate in building, training, and deploying ML models automatedly, securely and at scale. It provides end-to-end lifecycle management for machine learning through MLOps. It also enables responsible and trustworthy development of machine learning solutions through responsible AI/ML capabilities which provides transparency and explainability for the models.

Modernise your applications and enjoy hybrid flexibility with Azure SQL
When it comes to Data Modernization, many businesses have a large estate of SQL Server on-premises. Microsoft is the SQL company. We have perfected the SQL engine over 30-years of investment, and re-invented it to be cloud native. When it comes to choosing a database, we know that customers care about price, price performance, security, and ease of use. Azure SQL scores highly across all of these dimensions! Customers who migrate to Azure SQL are thrilled with the scalability, cost and performance gains. Customers are also implementing latest SQL innovations like Hyperscale and Serverless for faster time to market and immediately accommodate its customers’ changing and often unpredictable workload patterns.

Azure Purview – Unified Data Governance approach for a diverse data estate

Azure Purview is a unified data governance solution from Microsoft that helps you manage and govern your data across your entire data estate, whether that data is housed on-premises, in other clouds, and or in software-as-a-service (SaaS) applications. With Azure Purview, you can easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage while enabling data consumers to find valuable, trustworthy data. In addition, it's roadmap entails an end-to-end data privacy stack enabling organizations to manage their obligations to both local and international privacy regulations.

Leverage Azure’s AI-powered RPA to manage unstructured data and actionable insights

Learn how to leverage AI-powered robotic process automation to extract volumes of data from unstructured documents or forms and unlock digital actions or meaningful insights from it.

Solution Showcase

Microsoft Azure Synapse and Cognitive Services: Unleashing the Power of Your Data

FSI Organizations are accelerating their technology adoption to fortify their digital capabilities that enhance business growth and Customer Delight with a frictionless personalized experience across multiple channels. Data-led Intelligent solutions to play a pivotal role in automating the key business processes and advancing the digital transformation. This session demonstrates the Power of Microsoft Data Analytics Platform – Azure Synapse - together with cognitive services such as form recognizer, text analytics and azure machine learning enable that unlock insights from petabytes of data and enables to accomplish smarter business outcomes.

GPT3 – A new Wave Of Machine Learning

GPT-3 is a set of autoregressive models with one billion parameters that can perform well on a variety of tasks, ranging from question answering to classification, with just a few short demonstrations. Here is a sneak peak into this very exciting technology which could potentially revolutionize the way we analyze text content today.

Cloud based Intelligent Contact Center Demo

A cloud-based intelligent contact center that uses Azure Cognitive Services to provide customer service agents with real-time insights into customer interactions. This allows agents to provide faster and more accurate customer service. This system can recognize and understand natural language, identify emotions, and provide recommendations for customer service representatives.

Introducing Microsoft’s Echo System for Ubiquitous Computing and Ambient Intelligence

We are moving into an era of ubiquitous computing and ambient intelligence. Microsoft has created an entire echo system of offerings from edge to the cloud enabling you to infuse intelligence into a variety of workloads in minimal time. Here is a peek into key innovations around this thematic including Spatial Analysis containers, Azure Stack Edge and IOT Hub.

Azure Machine Learning Studio Experience

Organizations are witnessing an accelerated pace in building machine learning fueled solutions. An implicit requirement for the teams involved is working collaboratively while constantly building & managing a large number of models. This session highlights the various components of Azure Machine Learning which enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine learning models. Inherently enabling the machine learning life cycle.

Demos on Cosmos DB features, capabilities and its instant scalability

Demos

Digital Transformation through Data Modernization by Knowledge Lens

vChek +vTalli +vInspkt by JumpStart Ninja

Voice Bots in Hinglish (With Speech Analytics) by Celebal Tech

How modern data strategies can accelerate innovation and build smart, customer-centric, scalable solutions on cloud and edge by Infoqort

Sanjeev Sadhwani, Head of Operations, Infoqort Abhishek Srivastava – Partner Solution Architect. Redis

Supercharge Real Time Customer experiences with Azure Cache for Redis Enterprise

This session will cover a brief overview of Azure Cache for Redis Enterprise and then dive into a detailed demo of the Active Active functionality of Redis Enterprise which allows customers to handle use cases like Roaming user sessions, region failovers, and build geo distributed applications having sub millisecond latency and global scale

Speakers

Eric Boyd

CVP AI Platform, Microsoft

Renee Lo

GM Data & AI, Microsoft Asia

Beatriz Stollnitz

Principal Cloud Advocate - Azure ML, Microsoft

Ayşegül Yönet

Senior Cloud Developer Advocate, Microsoft

Srikanth Sridhar

Global Black Belt | Sr Specialist - Azure Cosmos DB, Microsoft Asia

Shashank Pawar

Azure SQL Modernization Engagement Lead, Microsoft Asia

Aditi Rathi

Director Product Growth - Analytics & AI, Microsoft India

Swapna Bapat

Senior Director - Data & AI, Microsoft India

Sandeep Alur

Director, India Microsoft Technology Center

Aruna Chakkirala

Senior Cloud Solutions Architect, Microsoft India

Biswajit Das

Director- Advisory (Analytics | AI | Data Lakes | CVM) - KPMG

Dahnesh Dilkhush

Chief Technology Officer - Azure, Microsoft India

Meduri Ravi Kumar

Executive Vice President - IP and Digital Solutions - Innominds

Ajay Agrawal

SVP, Global Head of Analytics and Artificial Intelligence, Center of Excellence - Happiest Minds Technologies

Gaurav Mehta

Angel Investor, Entrepreneur and Global Head - Alliances and Analysts Relations, Capillary Technologies

Rohit Kilam

Chief Technology Officer - CMS Info Systems

Rajesh Pawar

SVP - Global Delivery (Digital Engineering Services), Cigniti Technologies

Hari Krishnan T.M

Director -Azure Data & AI, Microsoft

Srivatsa Subbanna

Vice President - Analytics, Data Science and AI, Maveric Systems

Srinidhi Shama Rao

Chief Strategy Officer, Aegon Life

Puneet Shivam

President, US, and Co-head, Enterprise Technology & Services, Avendus

Armish Sonkar

Head of Data Science, Risk & Data Engineering, Eko

Gouri Shankar Yadav

Head - Analytics & Decision Management, Shubham Housing Development Finance Company

Prabhu Rangarajan

Co-founder, M2P Fintech

Ankush Gadi

Director - Data Management & Analytics, CRISIL Limited

Ankit Saran

Partner, Consulting | AI – Data & Analytics (India) at Deloitte

Bhavana Yerrumreddy

Country Leader - Retail, Healthcare & Growth Vertical, Microsoft India

Rishit Jain

Product Management Leader – Digital, Data Science and IoT products, Tata 1MG

Pradeep Jayaraman

Terminal Head - Adani Mundra Container Terminals & RORO Operations at Adani Ports and SEZ

Srinivas Gopinath

Head - Digital and Analytics at Aditya Birla Fashion and Retail Ltd.

Vineet Shukla

Group Vice President at Mahindra Group

Sudip Mitra

SVP at Aditya Birla group

Prashant Kaddi

Partner | AI & Data, Deloitte

Sunita Kannan

Data and AI Solutions Lead, APJ of Microsoft Corporation

Saurabh Agrawal

SVP - Analytics & CRM, Lenskart.com

Arun Pai

SVP - Head of Analytics and Decision Sciences at Dream11

Karthik Sivakumar

Head of Data Products at Pine Labs

Anand Tuli

Head Of Analytics and Decision Sciences at Vedantu

Ravindra Yadav

Senior Director - Data Science, Meesho

Anand S

CEO, Gramener

Ravi Vijayaraghavan

SVP (CDAO), Head - Analytics & Applied Sciences, Flipkart

Brian McKerr

Senior Specialist - Data & AI, Microsoft Australia

Arvind Raman

Azure Solution Specialist, Microsoft India

Athena DSouza

Senior Program Manager, Microsoft India

Lini Karanath

Director of Customer Success - Data & AI, Microsoft India

Shikha Agarwal

Sr. Technical Architect, Microsoft Technology Center

Srikar Kumar

Founder & CEO, JumpStart Ninja

Anirudh Kala

Chief Executive Officer, Celebal Technologies

Sanjeev Sadhwani

Head of Operations, Infoqort

Abhishek Srivastava

Partner Solution Architect. Redis

Dipta Panda

Associate backend developer, Celebal Technologies

Gokulraj Perumal

Software Services Associate Principal – eClerx

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