ibl.ai Agentic AI Blog

Insights on building and deploying agentic AI systems. Our blog covers AI agent architectures, LLM infrastructure, MCP servers, enterprise deployment strategies, and real-world implementation guides. Whether you are a developer building AI agents, a CTO evaluating agentic platforms, or a technical leader driving AI adoption, you will find practical guidance here.

Topics We Cover

Featured Research and Reports

We analyze key research from leading institutions and labs including Google DeepMind, Anthropic, OpenAI, Meta AI, McKinsey, and the World Economic Forum. Our content includes detailed analysis of reports on AI agents, foundation models, and enterprise AI strategy.

For Technical Leaders

CTOs, engineering leads, and AI architects turn to our blog for guidance on agent orchestration, model evaluation, infrastructure planning, and building production-ready AI systems. We provide frameworks for responsible AI deployment that balance capability with safety and reliability.

Interested in an on-premise deployment or AI transformation? Calculate your AI costs. Call/text 📞 (571) 293-0242
Back to Blog

Capgemini: Harnessing the Value of Generative AI - 2nd Edition: Top Use Cases Across Sectors

Jeremy WeaverDecember 27, 2024
Premium

Capgemini’s report examines the widespread adoption of generative AI across industries, highlighting increased investments, improved productivity, and enhanced customer satisfaction. It emphasizes the growing role of AI agents, the need for strong governance, and addresses ethical and environmental concerns based on insights from a global survey of 1,100 executives.

Capgemini: Harnessing the Value of Generative AI - 2nd Edition: Top Use Cases Across Sectors



Summary of Read Full Report (PDF)

This Capgemini Research Institute report examines the rapidly expanding adoption of generative AI across various sectors. The report highlights a significant increase in organizational investment and implementation of generative AI, showcasing tangible benefits like improved productivity and customer satisfaction.

A key focus is the emergence of AI agents, their potential for enhanced automation, and the need for robust governance frameworks. The research is based on a global survey of 1,100 executives and provides recommendations for organizations to successfully integrate generative AI into their operations.

The report also addresses ethical considerations and environmental impacts associated with generative AI.

See the ibl.ai AI Operating System in Action

Discover how leading universities and organizations are transforming education with the ibl.ai AI Operating System. Explore real-world implementations from Harvard, MIT, Stanford, and users from 400+ institutions worldwide.

View Case Studies

Get Started with ibl.ai

Choose the plan that fits your needs and start transforming your educational experience today.