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Building Future Enterprises.
Together with Databricks

LTIMindtree is a Gold Sponsor at Data + AI Summit 2023

Moscone Center, Booth #314 | June 26-29 | San Francisco

Building Future Enterprises. Together with Databricks

Generative AI is poised to revolutionize the way organizations operate. It has the potential to transform industries, enhance creativity, and provide solutions to complex problems, offering organizations a considerable competitive edge.


As a Gold Sponsor for the upcoming Databricks Data + AI Summit 2023, we are excited to showcase the transformative power of Generative AI in data engineering and AI/ML.


Join us at the summit, held on 26-29th June in San Francisco, to discover how Generative AI can power your data Lakehouse, accelerate data engineering, and enable AI/ML acceleration. We will discuss and demonstrate Generative AI-based acceleration for Data Lakehouse, showcasing how it can unlock new possibilities for your organization.


Alcazar: Accelerated Databricks modernization with an automation-led approach

Modernizing on-premises data platforms to the cloud demands a high degree of planning, reverse engineering, and technical competencies that amount to higher costs, efforts, and significant time.

LTIMindtree’s Alcazar, an intelligent modernization accelerator for Databricks addresses these migration challenges by providing automated solutions for Data/Schema and ETL migration. And a suite of ML ops accelerators simplifies AI/ML implementation with Databricks making it real to test and develop Advanced Data Science use cases at a great speed.


Technology consulting-led design framework to strategize end-to-end migration scope and design

  • Vision and Roadmap

  • Solution Selection

  • TCO Calculation

  • Business Case


An end-to-end migration framework for on-premises database migration to the Databricks platform.

  • Source Inspect

  • DatabricksConvert

  • DatabricksMigrate

  • Data Match


Our accelerators optimize the Databricks platform and enable AI/ML use cases

  • FinOps: Monitor and optimize

  • KenAI: Operationalize AI/ML models

  • Data Science: Leverage proven Data Science solutions

Session Details

Fast-track to the future with GenAI-powered Lakehouse

Generative AI is set to revolutionize how organizations operate by streamlining & automating tasks. It has the potential to increase efficiency and productivity, reduce costs, and open new opportunities for growth, providing a significant competitive advantage to the organization.

Join us to explore the possibilities of a Generative AI-powered Lakehouse in Data Engineering and AI/ML. We’ll discuss and demonstrate Generative AI-based acceleration for Data Lakehouse - Code Conversion, Code Generation, Synthetic Data generation, Test case creations, Model generation, and many more. We will also share early best practices around – Deployment, Security, and Cost of LLM-powered Lakehouses.

Speaker: Abhishek Patel, Databricks CoE at LTIMindtree


Insights from Experts: Meet our team

Jitendra Putcha.jpg
Jitendra Putcha
EVP & Global Head
Data & Analytics
Sheba Fernando.jpg
Sheba K Fernando
Principal Director
Data Science
Indivar Nayyar.jpg
Global Vice President
Data & Analytics
Samuel Galla.jpg
Senior Regional Director
Data & Analytics
Sanjay Prabhakar.jpg
Sanjay M Prabhakar
Principal Director,
Data & Analytics
Aniruddha Vaidya.jpg
Aniruddha Vaidya
Data & Analytics Delivery Head - RCG
Srinivas Ayyagari.jpg
Srinivas Ayyagari
Associate Vice President- Global Alliances
Dinesh Bajaj.jpg
Dinesh Bajaj
SVP & Chief Business Officer - RCG
Abhishek Patel.jpg
Abhishek Patel
Databricks CoE at LTIMindtree
Krishnan Srinivasan.jpg
Krishnan Srinivasan
Head of Delivery, North America


Case Studies Icon

Data Sharing and Democratization for Leading Indian Bank


Meet us at Databricks Data + AI Summit 2023

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