Systems | Development | Analytics | API | Testing

November 2023

Amazon Bedrock Analytics Sources - Quick Demo (using Anthropic)

Amazon Bedrock is the name of the Amazon service that offers a single API to access foundation models provided by companies such as AI21, Amazon Titan, Anthropic and Cohere, from which you can build generative AI into your Qlik applications without writing any code. With generative AI, organizations can broaden insight and context while adding a variety of new and exciting capabilities directly in analytics apps, load scripts, and through app automations. The analytics connector constructs questions and our unique associative engine passes only relevant data related to those selections, in real-time, allowing users to get contextually relevant responses while minimizing cost and complexity. Automation connectors offer the ability for developers to send questions and receive responses and data sets as part of automation workflows.

How Change Data Capture Cuts Costs and Modernises Applications in a Competitive Market

I consider myself pretty lucky: I love technology and get paid to pursue my hobby. I also get to say yes to opportunities that come my way that can increase value to my company and our clients. It was one of these opportunities that led us to adopt change data capture (CDC) technology, resulting in an added value proposition for our customers.

Qlik's AWS re:Invent 2023 Journey: Real-Time Data Integration, Quality, and AI-Powered Analytics Unleashed!

Qlik’s partnership with AWS provides customers with an end-to-end data integration and analytics solution for AWS. Our accelerates data delivery and readiness for analytics from a wide range of enterprise data sources. And our empowers users at any skill level to freely explore all your data and uncover hidden insights. Add to that Qlik Staige and you can find out how we can help modernize with AI.

Qlik announces support with Cloud Data Integration for Microsoft Fabric

With ever increasing data complexity, sources, and targets, enterprises are rightly trying to simplify their data stacks and workflows. Organizations want to build out their data fabrics with elements that work together, rather than spend time integrating various solutions.

Set Analysis Redux: Do More with Qlik Episode 47

Set analysis in Qlik is a powerful data filtering and aggregation technique that allows users to create custom data subsets for analysis. It enables users to define complex criteria, known as set expressions, to isolate specific data points or dimensions within their Qlik applications. This feature is instrumental in performing advanced data manipulation, and it just got even easier with Qlik’s new AI enhancements.