Generative AI on demand

Generative AI is fundamentally changing how we write code, with AI powered pair programming tools and applications. How will the technology empower software developers, and what does it mean for technology and business leaders in the future? Join us for a 60-minute webinar replay where our McKinsey experts deep dive into generative AI’s impact on coding.

We discussed the various use cases of generative AI in coding, its broader impact on product management, and the potential to increase productivity for the technology workforce. We will also show two live demonstrations of our flagship solutions: LegacyX for modernizing existing codebases and technology infrastructure, and CloudX for accelerating new software build.

The emergence of innovative tools such as ChatGPT ignites creativity and emphasizes the significance of Generative AI and foundational models as the building blocks for contemporary AI applications. However, it is important to acknowledge that securely implementing these large models in user-facing production applications poses a new and intricate challenge in MLOps.

In this insightful session, Yaron Haviv, CTO, Iguazio, was joined by Nayur Khan, Partner, QuantumBlack, AI by McKinsey, and Mara Pometti, Associate Design Director, McKinsey & Company, to discuss how enterprises can effectively incorporate GenAI now in live business applications.

“Virtual Expert” is one of the most exciting use cases that we see driving value from generative AI today. It will enable frontline workers across sectors to tap proprietary sources of knowledge, and unlock great value from insights gained through the rapid summarization and synthesis of vast quantities of unstructured data.

Business leaders who understand the new technology and its potential effects are on the way to benefiting from the coming surge in global productivity.

Generative AI has been decades in the making but it’s only now hitting the mainstream, with use cases that span across images, text, simulations, and videos. Breakthroughs in the field have the potential to transform the way we approach content creation, insights, synthesis, and more.