Generative AI on demand

Scaling and maintaining thousands of models in production presents complex, non-trivial challenges. Join us to hear first-hand the secrets to successful deployment, orchestration, and management of AI applications in real-time and at scale.

Kaegan Casey, AI/ML Solutions Architect at Seagate, shared two of their newest predictive manufacturing use cases, using both batch and real-time functions:

1. Process tool health monitoring with anomaly detection
2. Optimized material sampling with classification

In this webinar, we explored the most pressing GenAI challenges and the newest strategies for implementing and scaling GenAI in 2025. Svetlana Sicualar and Yaron Haviv, AI industry leaders and veterans, referenced their work and vast experience with enterprise clients across regions and verticals.

They explored key questions that every tech leader should be asking themselves:

1. How can businesses scale GenAI effectively? What bottlenecks must be overcome?
2. What strategies can mitigate AI-related risks, ensuring trust, security, and compliance?
3. How do agentic AI systems fit into the bigger picture of enterprise automation?

In this webinar we explored and discussed McKinsey’s vision for harnessing AI agentics to achieve holistic impact. Watch to delve into:

• The ecosystem of AI agents, from conversational assistants and coding helpers to planning, creative, and knowledge-driven agents
• The ways AI agents address industry challenges and align with emerging political and economic trends.
• Strategies leveraging AI agents to streamline operations, enhance decision-making, and adapt to complex tasks using components like “digital brains”, advanced reasoning, and compliance guardrails.
• An analysis of key trends and current gaps in the market
• Practical design strategies for building scalable, impactful AI agent solutions.

Watch session #28 in our MLOps Live Webinar Series featuring Databricks where we discuss improving LLM accuracy & performance. Hear Margaret Amori (Databricks), Vijay Balasubramaniam (Databricks) , and Yaron Haviv (Iguazio) share best practices and pragmatic advice on successfully improving the accuracy and performance of LLMs while mitigating challenges like risks and escalating costs. See real examples including techniques to overcome common challenges using tools such as Databricks Mosaic AI and their new open LLM, DBRX.

In this session, Yaron Haviv, CTO Iguazio was joined by Ehud Barnea, PHD, Head of AI at Tasq.ai and Guy Lecker ML Engineering Team Lead, Iguazio to discuss how to validate, evaluate and fine tune an LLM effectively. They shared firsthand tips of how to solve the production hurdle of LLM evaluation, improving LLM performance, eliminating risks, along with a live demo of a fashion chatbot that leverages fine-tuning to significantly improve the model responses.

Many enterprises operate expansive call centers, employing thousands of representatives who provide support and consult with clients, often spanning various time zones and languages. However, the successful implementation of a gen AI-driven smart call center analysis application presents unique challenges such as data privacy controls, potential biases, AI hallucinations, language translation, and more. Watch this recording to learn firsthand how to build a gen AI app to analyze your call center activity, customized to your organization.

Watch this on-demand session to learn how leading global financial service companies use gen AI today to serve their clients better, improve operations, and get ahead of the pack.

Generative AI has undoubtably been the hot topic of 2023. We started with the basics of “What every CEO should know” and by now, “The economic potential of generative AI” is clear. Many organizations have already launched pilots, and are now asking: what comes next?

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.