Generative AI

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Event archive

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Deploying Gen AI in Production with NVIDIA NIM & MLRun – MLOps Live #33 with NVIDIA
In this webinar, Iguazio (Acquired by McKinsey) explored how to successfully deploy your Gen AI applications while mitigating these challenges, using NVIDIA NIM and MLRun. What we covered: 1. The unique NIM architecture, its role in the complete deployment process of Gen AI, and special NIM insights 2. How to orchestrate and automate the entire AI pipeline end to end, optimize GPU usage, and add guardrails to mitigate risk, to create efficient systems that balance performance and cost 3. The technical advantages of NIM, blueprint architectures, and successful case studies 4. A live demo of the joint solution, highlighting strategies for implementing risk controls, ensuring reliable performance while guarding against increasing costs.
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Building Customer-Facing Gen AI Applications Effectively & Responsibly – MLOps Live #31 with MongoDB
In this session, we explored the unique challenges of implementing gen AI in production environments, when agents are in direct contact with your customers. We shared the Iguazio & MongoDB one-stop-shop solution for building gen AI applications that scale effectively and efficiently, with built-in guardrails and monitoring. We'll show how the end-to-end application lifecycle is addressed – From data management all the way to governance and monitoring in production. We shared a live demo of a customer-facing agent conversing with different customers at a large bank, and adapting its responses and tone of voice to each customer. We also held a live discussion and a jam-packed Q&A!
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Implementing Gen AI in Highly Regulated Environments – MLOps Live #30 with McKisney
For highly regulated industries such as Financial Services and Telecommunications, implementing gen AI in practice comes with an additional array of unique challenges and complexities. In this session, Iguazio’s Co-Founders and CEO/CTO discussed implementing gen AI in highly regulated environments and innovative ways to mitigate them. They shared our approach for building a ‘Gen AI Factory’ that enables users to scale their gen AI initiatives responsibly across the enterprise.
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Transforming Enterprise Operations with Gen AI – MLOps Live #29 with McKisney
In this webinar we discussed the transformative impact of gen AI on enterprise operations, spotlighting advancements across manufacturing, supply chain and procurement. We covered the main gen AI use cases, challenges to be mindful of during implementation and key learnings from client projects; highlighting three main pillars—people, processes and technology. We also shared a case study, detailing how a large international Consumer Packaged Goods (CPG) company is implementing gen AI in its daily operations.
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Improving LLM Accuracy & Performance - MLOps Live #28 with Databricks

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.

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Never just tech: Unlocking the full value of gen AI

The potential of generative AI to create business value is enormous. To capture its full value, leaders must know how to harness and scale gen AI by making the right organizational shifts.

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LLM Validation & Evaluation

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.

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Implementing a Gen AI Smart Call Center Analysis App

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.

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GenAI for Financial Services

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.

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Generative AI: Impact, Learnings, and the Path Forward

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?

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Impact of Generative AI: Coding

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.

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MLOps for Gen AI in the Enterprise organized by Iguazio

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.

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Generative AI: Virtual Expert webinar
“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.
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The economic potential of generative AI: The next productivity frontier
Business leaders who understand the new technology and its potential effects are on the way to benefiting from the coming surge in global productivity.
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What CEOs need to know about Generative AI
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.

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