Strategy and Governance
Our Strategic Advisory team navigates clients through a reinvention process designed to drive meaningful impact and scaled business growth through a clear data, analytics, and AI strategy. This process considers the organization’s current state of data maturity along and provides an innovation roadmap, leveraging data constructs like data mesh, data marketplace, data economics (cost monitoring/optimization), and data governance (provisioning/integration of Unity Catalog).
Data Engineering
Wipro and Databricks’ combined data engineering expertise lays the groundwork for stronger, more scalable data systems. We improve reliability in areas such as data pipeline modernization, migration from Hadoop, legacy DW and ETL Modernization, greenfield Lakehouse implementations, Lakehouse reference architecture, estimation methodologies and capacity planning, and low-code/no-code solutions.
Data Science
Wipro and Databricks provide end-to-end data science solutions from data prep and modeling to sharing insights. We build a collaborative data science environment on a unified foundation that spans areas like migration of cloud-native and legacy ML pipelines to Databricks, modernization of R/SAS/Python-based scripts, and business solutions that enable data-led value realization for clients.
Generative AI
Wipro’s market-leading, custom-built services leverage state-of-the-art Large Language Models (LLMs) like DBRX, GPT, MPT, LLaMA and are backed with responsible AI controls and domain, safety, and security guardrails to accelerate the GenAI journey for customers. The WeGA Studio, GenAI accelerators, and services developed by Wipro are implemented on a Databricks-Mosaic ML platform to deliver key business solutions covering digital marketing, content generation, enterprise search, and conversational BI.