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McKinsey's GenAI Journey Offers Valuable Lessons

The rapid evolution of Generative AI (GenAI) platforms has sparked a transformation in how progressive organizations leverage their institutional knowledge and enhance productivity. McKinsey's development of its internal GenAI platform, named Lilli, provides valuable insights into how large enterprises can successfully implement practical solutions while prioritizing user adoption and maintaining high security and quality standards. McKinsey's approach to developing Lilli is noteworthy for its methodical, user-centric implementation strategy. Starting with a small team of just four people that has since grown to over 150, the firm focused on solving specific operational challenges across four key domains: team performance, client development, service delivery, and post-project communications. Why Purposeful Adoption Planning Matters Rather than attempting to solve every possible use case at once, this focused approach has proven instrumental in the platform's successful ad...

Generative AI Trends: Key Insight for Executive Leaders

As founder of the Business Technology Roundtable, I can advise senior executives on rapidly emerging technologies and their potential impact on digital business transformation. One of the most significant and potentially disruptive technologies today is Generative Artificial Intelligence (GenAI). Powered by advances in machine learning, this technology refers to AI systems that can generate new content, such as text, images, audio, video, and more in response to prompts from humans.   The pace of advancement in Generative AI has been astounding. Since the public release of ChatGPT in November 2022, tool capabilities have continued to grow at breakneck speed. Business interest has followed suit – attracted by the vast potential to drive efficiency, productivity, innovation, and digital business growth. However, along with the enthusiasm, important questions remain regarding effective adoption approaches, risk management, workforce retraining, and ethical implications. To better...