Building #GenAI pilots has become easier with time, but moving gen AI applications to production at scale is a whole different story. Together with our new QuantumBlack, AI by McKinsey and McKinsey & Company family, we offer organizations a consolidated, software-based approach to gen AI implementation, scaling and governance! Iguazio (Acquired by McKinsey)’s platform, a part of the QuantumBlack Horizon suite, helps enterprises bridge the gap between early gen AI pilots and real business impact. Check out our new video to learn more! #ArtificialIntelligence #GenerativeAI #GenAI #AI
Iguazio (Acquired by McKinsey)
Software Development
Herzliya עוקבים, Israel 14,877
Implement and Scale your ML and Gen AI Applications
עלינו
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. Iguazio brings AI to life.
- תעשייה
- Software Development
- גודל החברה
- 51-200 עובדים
- משרדים ראשיים
- Herzliya, Israel
- סוג
- בבעלות פרטית
- הקמה
- 2014
- התמחויות
מיקומים
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הראשי
18 Shenkar Street
Herzliya, Israel 4672505, IL
עובדים ב- Iguazio (Acquired by McKinsey)
עדכונים
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Earlier this week we launched MLRun 1.7, which brings #GenAI implementation to the community, with a special focus on #LLMmonitoring. We’ve received incredible feedback on the release, and we appreciate the engagement and involvement from #MLRun users and the broader #GenAI community. In this new blog post, we dive deep into the new capabilities provided in MLRun 1.7, together with examples and recipes for implementation. Read all the details: https://lnkd.in/dMM3vjHW #opensource #genai #generativeai #opensourcetools #opensourcecommunity #largelanguagemodels
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Exciting News! MLRun 1.7 is Here! 🎉 After much anticipation, #MLRun v. 1.7 is now available. Based on feedback from the community, the new version introduces powerful features for #GenAI implementation, with a special emphasis on #LLMmonitoring. Here’s what’s you can do with MLRun 1.7: 🎉 Monitor #LLMs in your tool of choice 🎉 Monitor unstructured data more easily 🎉 View and analyze metrics & trends in a new UI 🎉 Deploy Docker, Inc images at ease 🎉 Manage multiple projects from a single dashboard 🎉 And much more...! Explore MLRun 1.7 for yourself: https://lnkd.in/dPiDC8pY We’d love to hear your feedback, since we will be expanding the capabilities based on what you share with us. Read more on how individuals and teams can bring value with MLRun 1.7: https://lnkd.in/dwUrX2pg
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Join us tomorrow, October 29th, for a very exciting #MLOpsLive Webinar! Experts Amit Bleiweiss (NVIDIA) and Yaron Haviv (Iguazio (Acquired by McKinsey) will walk through how to build, deploy and scale #LLM and Gen AI applications using #NVIDIA NIM and #MLRun. 💻 What you'll learn: 🔎 NVIDIA NIM's architecture and insights into efficient Gen AI deployment. 👾 MLRun’s role in orchestrating and monitoring your Gen AI applications ✅ How to ensure scalability, performance, and cost efficiency. 🤳 A live demo showcasing the power of NIM and MLRun. Register today to save your seat!: https://hubs.la/Q02SVP3C0 #GenAI #AI #MLOps #NVIDIA #DataScience #AIinProduction #LLMMonitoring #MLOpsLive #MachineLearning #GPUOptimization #OpenSource
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📊 Scaling GenAI deployments can be challenging—without the right framework. On October 29th, join experts Amit Bleiweiss (NVIDIA) and Yaron Haviv (Iguazio) to discover how to build, deploy and scale #LLM and GenAI applications using #NVIDIA NIM and #MLRun. 💻 They’ll explore how to use NVIDIA #NIM's and #MLRun to simplify deploying models across any infrastructure, ensuring top performance while keeping costs low 🚀🔥🏅 🔗 Register now: https://hubs.la/Q02SVPyP0 #GenAI #AI #MLOps #NVIDIA #DataScience #AIinProduction #LLMMonitoring #MLOpsLive #MachineLearning #GPUOptimization #OpenSource #NIMS
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It was such a pleasure being a part of Safaricom PLC's AI Experts Conference, thanks for having us in Nairobi! 😊 Asaf Somekh
The AI Experts Conference is in full swing! We are hosting industry leaders and data experts from across the Vodacom Group in Nairobi! This ongoing event highlights the power of AI in transforming our businesses and supporting our mission to become Africa’s leading purpose-led techco by 2030. Attendees are engaging in cross-market collaborations, technical challenges, and networking, with our strategic partner Amazon Web Services (AWS). It's all about driving innovation together! #AIForGood #DrivingBusinessImpactWithAI
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We’re delighted to invite you to our upcoming #MLOpsLive Webinar on October 29th, where experts Amit Bleiweiss (NVIDIA) and Yaron Haviv (Iguazio (Acquired by McKinsey) will walk through how to build, deploy and scale #LLM and GenAI applications using #NVIDIA NIM and #MLRun. 💻 What you'll learn: 🔎 NVIDIA NIM's architecture and insights into efficient GenAI deployment. 👾 MLRun’s role in orchestrating and monitoring your GenAI applications ✅ How to ensure scalability, performance, and cost efficiency. 🤳 A live demo showcasing the power of NIM and MLRun. Register today to save your seat! (link in the first comment) #GenAI #AI #MLOps #NVIDIA #DataScience #AIinProduction #LLMMonitoring #MLOpsLive #MachineLearning #GPUOptimization #OpenSource
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🌲 Random forest is a powerful ensemble learning method that combines results from multiple decision trees during training ➡️ to make more accurate and robust model predictions. 🌳 Random Forest is applicable across multiple industries, and shows special value for use cases across financial services, e-commerce, healthcare, marketing, and many more. 🌴 If you think Random Forest can be useful in your industry, check out this new article, with step-by-step tutorials and real-world examples. 👉 https://lnkd.in/evgNCFnw #genai #genaiblogs #generativeai #aisolutions #randomforest #AI #BiasMitigation
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Looking to implement #LLM as a Judge but not sure how? In this new step-by-step tutorial, Guy Lecker, shows how to use open-source #MLRun to operationalize and de-risk your LLM as a Judge. Follow these instructions and code examples and enjoy the availability and adaptability benefits of using LLM as a Judge: https://lnkd.in/dQ2sz7be #largelanguagemodels #mlrun #genai #generativeai #aisolutions #machinelearning #genaitechnology #opensource #opensourcetools #opensourcesolutions
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Curious to see what the future of jewelry shopping may look like? 💍 🛍 Watch our latest demo of a customer-facing #GenAI agent developed for a jewelry retailer. 💎 https://lnkd.in/eY_ZQpJk #aisolutions #generativeai #mlops #aifactory #mlrun