AI Engineering

AI Engineering: There’s no intelligence without data, at scale!

These foundation services create the right data and platforms to deliver trusted AI solutions in production and at scale.

Underpinning every stage of the transformation from AI Activate to AI Transform and AI Reimagine, this critical building block of services identifies, prioritizes and actions exploitable data from across your enterprise to provide the insights and technology platform to support production-grade AI applications.

Services within the AI Engineering portfolio include:

  • Intelligent Integration  – one -touch integration for powering the digital age data foundation.
  • Legacy to Data Lake Migration  – rapid migration to cloud-native or on-premise data foundation.
  • Data-as-a-Service (DaaS) – pivot to self-service driven, direct business-enablement insight platform services.
  • BI Innovation (REAP) – industry data models and library of business KPIs to rapid deployment.

Matured services enabling the pipeline and lifecycle: Engineered for the “AI First” Era

Soundbites

Capgemini Research Institute, State of AI survey, 2017

79% of organizations implementing AI generate new insights and better analysis

Featured insights

Data management for the hybrid cloud

What is the mantra for a successful digital organization? Read this blog to learn more.

Meet our Experts

Anne-Laure Thieullent

Managing Director, Artificial Intelligence & Analytics Group Offer Leader

Steve Jones

Global Vice President – Big Data

Eric Reich

Expert in Big Data, Cloud, Enterprise Content Management, IOT

Ron Tolido

Executive Vice President, Global CTO – Insights & Data. Certified Master Architect. Member of the Group Technology & Innovation Council. Lead author of TechnoVision. Executive lecturer at TIAS Business School.

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