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Latest Videos

Episode 5: Data democratization and readiness for AI | Powell Industries

The key to breaking down data silos and fostering innovation goes well beyond having the right technology. It’s the people and processes that truly drive change. Ajay Bidani, Data and Insights Manager at Powell Industries, shares his perspective on how a strong, inclusive data culture is fueling the manufacturer’s global success.

LLM Validation & Evaluation MLOps Live #27 with Tasq.ai

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.

Simplify Data Integration and Pipeline Creation I Astera's Data Pipeline Builder Demo

Discover Astera’s Data Pipeline Builder, the no-code solution for easy data integration in today's businesses. With its user-friendly drag-and-drop interface, integrating, cleaning, and transforming data has never been simpler. Watch our demo to see how Astera can automate your end-to-end data management lifecycle, boosting your organization's efficiency. Start watching to accelerate your data integration tasks!

Connecting to Salesforce Database in Astera Data Stack

In this video, we will learn how to seamlessly integrate Salesforce databases into Astera Data Stack for efficient data extraction and loading. This video provides step-by-step guidance on configuring the Salesforce Database connector. Learn the process of establishing a successful connection and leveraging Salesforce data within your dataflows.

Qlik AutoML Update - March 2024

Automated free text feature engineering uses sophisticated algorithms under the hood to allows far better prediction from free text fields. This complements the date feature engineering capability we released last year, which automatically parses dates into usable features. Organizations now have role-based access control for AutoML users. We’ve added two new user roles to support AutoML – experiment contributors and deployment contributors, which can be assigned to specific users or groups. With this, you can now control and limit access to AutoML to the right types of users.