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.
Opening session: Natural intelligence: Teaching humans to use data
Spotlight session: Analytics and Data Science for Ecommerce – An overview and use cases on customer experience
Microsoft keynote: Future of Decisions: A Chief Digital Officer’s ‘Top of Mind’
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
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
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
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
Eric Boyd, CVP AI Platform, Microsoft
Beatriz Stollnitz, Principal Cloud Advocate – Azure ML, Microsoft
Tech Workshops
Azure AI
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.
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.
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.
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.
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.
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.
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
GPT3 – A new Wave Of Machine Learning
Cloud based Intelligent Contact Center Demo
Introducing Microsoft’s Echo System for Ubiquitous Computing and Ambient Intelligence
Azure Machine Learning Studio Experience
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
Supercharge Real Time Customer experiences with Azure Cache for Redis Enterprise
Microsoft DataNext Summit
Organized by Analytics India Magazine