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IBM: The CEO's Guide to Generative AI – 2nd Edition

Jeremy WeaverJanuary 10, 2025
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IBM's report offers CEOs a concise guide to leveraging generative AI for transforming their businesses. It highlights strategies for digital innovation, IT automation, ethical AI implementation, and talent management, emphasizing a human-centered approach and strategic investment to maximize benefits while managing risks.

IBM: The CEO's Guide to Generative AI – 2nd Edition



Summary of Read Full Report

This document from the IBM Institute for Business Value explores how CEOs can leverage generative AI to transform their businesses. It examines key areas including digital product engineering, IT automation, AI model optimization, platform development, open innovation, application modernization, responsible AI, tech spending, operating model transformation, and talent management.

The report emphasizes the importance of a human-centered approach, ethical considerations, and the need for strategic investment to maximize the return on generative AI initiatives. Practical advice and research data, gathered from numerous surveys of executives globally, are provided to guide CEOs in navigating this rapidly evolving technological landscape.

The ultimate goal is to equip CEOs with the knowledge and tools to successfully integrate generative AI into their organizations while mitigating risks.

Why does owning the AI stack matter?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.

  • You own all the code and the data

    Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.

  • Model-agnostic

    Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.

  • No per-seat pricing

    Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.

  • Deploy anywhere

    Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.

1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.

ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.

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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.

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