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Implement and Scale your ML and Gen AI Applications with Iguazio (Acquired by McKinsey & Company) Iguazio brings AI to life.

Iguazio (acquired by McKinsey) provides an AI platform which enables enterprises to develop, deploy and manage ML and GenAI applications in live business environments. Through automation and orchestration capabilities, the platform drastically shortens the time required to create real impact with AI. Using Iguazio, organizations can develop AI models at scale and in real time, deploy them anywhere

(multi-cloud, on-prem or edge), mitigate risks associated with gen AI, and bring to life their most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals use Iguazio to solve the complexities of implementing and scaling ML and gen AI across the enterprise, in an efficient and scalable way. Iguazio is used for a multitude of use cases such as real-time agent copilots, call center analysis, chatbot automation, fraud prediction, real-time recommendation engines and predictive maintenance. Iguazio was acquired by McKinsey in 2023 and is now a part of QuantumBlack, McKinsey's AI arm.

18/02/2026

One of the biggest gaps in production is making systems understandable and actionable for business stakeholders.

In Session #42 of the Webinar Series, Joseph Perkins, Principal Product Manager at QuantumBlack, AI by McKinsey, and Gilad Shaham, Director of Product Management at Iguazio (a McKinsey company), demonstrate how LLM-powered, Python-based dashboards built with Vizro provide real-time insight into AI systems — without adding engineering overhead.

Watch the live demo and learn how to turn production AI into measurable business value.

Register here: https://hubs.ly/Q043y9550

15/01/2026

Last chance to catch our Copilot series! 🤖💼

In banking and wealth management, the best client experiences don’t come from more dashboards — they come from better conversations.

Copilots help advisors stay present by delivering real-time insights, personalization, and smart follow-ups — all at scale.

Our CEO & co-founder Asaf Somekh dives into this in his latest blog:

👉 Banking on : Driving profitable and scalable client engagement
https://hubs.la/Q03-X1Xh0

13/01/2026

Our new Wealth Management page explores how can elevate advisor-client interactions.

This demo brings it to life. 🚀

See a real-time Agent Co-pilot that:
✔️ Understands live conversations
✔️ Provides contextual recommendations
✔️ Enables personalization at scale
✔️ Is built for production, not prototypes

🎥 Watch the full demo: https://hubs.la/Q03-xSJy0

12/01/2026

We just launched a new page on how financial institutions can use agent copilots to:

✨ Deliver tailored, compliant advice at scale
📊 Empower advisors with real-time insights
🤝 Elevate client relationships without increasing operational load

Explore how fits into modern wealth management 👉
https://hubs.la/Q03-pD8W0

08/01/2026

🤯 AI workflows are complex.

⚙️ makes them manageable, automated, and production-ready.

🚀 Learn how open-source and orchestration can speed up your projects.

Read more 👉 https://hubs.la/Q03ZPXNf0

06/01/2026

🚨 Shipping a app? Evaluation can’t be an afterthought. 🙅‍♂️

⚠️ Retrieval drifts.
⚠️ Hallucinations creep in.
⚠️ And what worked in dev often breaks in production.

That’s why we created this carousel 👇

Evaluation Tools you should know — from open-source frameworks to observability platforms that help you trust RAG systems at scale.

👉 Read the full breakdown in the blog:
https://hubs.la/Q03ZD7dY0

01/01/2026

If your app is hallucinating, the model might not be the problem 🤔. evaluation reveals what’s really broken. 🔍

In many cases, hallucinations don’t come from the itself — they come from weak retrieval, poor context selection, or missing guardrails in the RAG pipeline 🧩.

If you’re only evaluating model outputs, you’re missing half the story. ⚠️
RAG Evalution is the difference between impressive demos and production-ready AI. 🚀

Read more: https://hubs.la/Q03ZjpWG0

25/12/2025

Wishing our customers, partners, and community a joyful holiday season and a bright start to the new year. 🌟

Thank you for being part of the Iguazio journey — we’re excited for what’s ahead.

Happy Holidays from all of us at Iguazio🎄✨

23/12/2025

❓ Do you really know why your gave that answer?

As large language models move into production, accuracy alone isn’t enough. Teams need to understand how and why models behave the way they do.

That’s where interpretability comes in.

Interpretability helps teams:

🤝 Build trust in model outputs

🐛 Debug unexpected behavior

🛑 Detect bias and risk early

🦺 Meet governance and compliance requirements

If is becoming core to your business, interpretability isn’t optional — it’s foundational.

👉 Learn what interpretability means and why it matters to your business:
https://hubs.la/Q03YXb120

18/12/2025

Announcing CE - Community Edition!

We’re proud to announce the availability of the out-of-the-box MLRun solution for and orchestration and model lifecycle management.

After an easy Helm chart installation, you get a powerful, integrated environment for development built on MLRun for orchestration and Nuclio for serverless computing.

Read the full blog by Shapira to discover how it works, ecosystem components and use cases.

We also share how one of our users used MLRun CE to:

📊 Run experiment tracking

🔒 Ensure model integrity

🔁 Duplicate experiments

🛠️ Easily debug experiment logs

And more

Read the full blog:
https://hubs.la/Q03YBP_-0

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18 Shenkar Street
Herzliya
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Website

http://www.iguazio.com/

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