Customer identity and access management (CIAM) encompasses the systems and processes that handle consumer identities and their access to services. In healthcare, CIAM applies not only to patients but also to healthcare providers, administrative staff, and other stakeholders involved in care delivery. Given the complexities of healthcare, including patient data privacy and the integration of diverse systems, CIAM is vital for effective digital transformation.

Predict, Explain, Act with Qlik AutoML, a powerful tool that brings automated machine learning to the hands of business users and data analysts. In this all new series, revist and learn how Qlik AutoML allows you to build predictive models without needing deep technical expertise in data science. Follow along in the next few videos linked in the description as Mike Tarallo walks you through the key features, from experiment to deployment, and see how Explain-ability is defined and used to gain insights that drive decision-making. Perfect for those looking to enhance their analytics with AI-powered predictions!

If you’re interested in #apifirst but struggle to understand the organisational or operational drivers that might indicate a positive return on investment for adopting such approaches, then check out this session from Frank Kilcommins and Nauman Ali. They cover the topics above and showcase how visual tools, like the new Form Editor within #Swaggerhub can help break down the barriers to participation in API delivery.

In this video, we'll guide you through the process of connecting to Microsoft Azure SQL Server using Astera Data Stack. Users can connect to Azure SQL Databases using various objects, including Database Table Source, Database Table Destination, and SQL-related tasks. Contents of the video: Introduction to connecting with Microsoft Azure SQL Server.

See how easy it is to create a Qlik AutoML Predictive Model.