Systems | Development | Analytics | API | Testing

Do You Know Where All Your Data Is?

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change.

Experience Generative AI with Qlik

Five years ago, Qlik paved the way in powering our analytics platform with AI, with the introduction of natural language processing and generation. Our augmented analytics capabilities, which now also include fully interactive search, chat, and multi-language support, enabled a generative AI experience before it was cool. Today marks the next step in our AI journey with the launch of a new suite of OpenAI connectors to deliver a ChatGPT experience in Qlik Cloud.

AI-Driven Observability for Snowflake

Performance. Reliability. Cost-effectiveness. Unravel is a data observability platform that provides cost intelligence, warehouse optimization, query optimization, and automated alerting and actions for high-volume users of the Snowflake Data Cloud. Unravel leverages AI and automation to deliver realtime, user-level and query-level cost reporting, code-level optimization recommendations, and automated spend controls to empower and unify DataOps and FinOps teams.

Highlights from a gem of a session: Qlik and Talend at Gartner London

At three full days and nearly 4,000 registered attendees, Gartner Data & Analytics Summit 2023 in London was the largest data and analytics summit in EMEA to date. That much interest in data and analytics thrills us, of course — but it was also exciting because it was one of our first major events following the announcement that Talend has been acquired by Qlik. There was a lot to talk about!

No-Code Data Pipelines: Streamline Data Integration

Historically, connecting multiple data sources to a single destination required extensive experience as a computer programmer or data scientist. Today’s no-code data pipelines have changed that perspective. Now, practically anyone – even those without any coding experience – can use no-code pipelines to streamline data processing without damaging data quality. You will, however, need the right ETL and ELT tools to manage real-time data flows.