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AI Data Readiness By Capgemini: 5 Weeks Assessment
AI Data Readiness by Capgemini provides a comprehensive and well-structured approach to help enterprises evaluate their current level of data readiness and AI maturity.
Capgemini's AI Data Readiness solution is a comprehensive and well-structured approach designed to help enterprises assess their current level of data readiness and AI maturity. The solution takes into account the unique AI ambitions and goals of each organization and provides a roadmap that outlines the necessary steps to achieve those objectives.
Enterprises can use the AI Data Readiness solution to assess their current data landscape, including data quality, structure, and accessibility, and identify any gaps or weaknesses in their data management practices that may hinder their ability to leverage AI effectively.
Based on this assessment, the solution provides a customized roadmap outlining specific actions to improve data quality, accessibility, and governance, taking into account each organization's AI ambitions, industry, business goals, and available resources.
Capgemini's AI Data Readiness framework helps enterprises achieve higher AI maturity and maximize their data potential by providing an easy-to-follow roadmap that prioritizes AI initiatives aligned with their data management practices and goals.
Technology Stack AI Data Readiness by Capgemini on Azure leverages best of the cloud native technologies (Azure Data Lake Gen 2, Data Factory, Azure Databricks, Azure Synapse Analytics, Microsoft Purview, Power BI, Azure Open AI etc.).
In summary, Capgemini's AI Data Readiness solution provides a tailored roadmap for enterprises to improve their data readiness and achieve their AI goals. Our engagement approach consists of three phases, focusing on establishing a foundational capability to address immediate priorities while enabling long-term strategic and commercial outcomes.
P.S - The pricing quoted is an estimated pricing and is subject to variation depending on the specific requirements and use case.