Qlik

The moment doesn’t wait. The 48-hour window doesn’t pause for a data request. It doesn’t slow down for a dashboard build. It doesn’t hold while you figure out which number to trust. Data readiness isn’t an IT project. It’s a business strategy decision made long before anyone asks a question. Will your data be ready when the moment arrives? → https://bit.ly/3Qyk9AK

Know someone helping shape the future of data, analytics, and AI? This is your last chance to nominate them (or yourself)! Applications for the 2027 #QlikLuminary and #QlikPartnerAmbassador programs close next Monday, July 6. These programs recognize the customers and partners who share their expertise and help move our industry forward through thought leadership, innovation, and collaboration. If you've been considering applying, now's the time. Apply today: https://bit.ly/4dKziHN

The next generation of data and AI talent needs access to the tools shaping the future of work, which is why the Qlik Academic Program is expanding access with upgraded licenses for educators and students worldwide, including Premium Qlik Cloud Analytics and Premium Qlik Talend Cloud! More powerful tools. More real-world learning. More ways to prepare students for what’s next. https://bit.ly/4vGViK2

Sixteen years as a Leader. One clear reason: Qlik was built for what’s next. Qlik has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Analytics & Business Intelligence Platforms. For Brendan Grady, this recognition reflects more than longevity. It reflects architectural choices that matter even more in the agentic AI era, from our associative engine to trusted data products and cloud-agnostic approach. AI was never an afterthought at Qlik. Read on for more: https://bit.ly/442MxxZ

Yesterday, we introduced the general availability of new agentic data engineering capabilities. Today, we're taking a deeper dive into what it means for the future of data teams. The "Evolution of the Data Engineer" whitepaper explores how AI is reshaping data engineering. Inside, you'll learn how to move: ➡️ From process-driven pipelines to intent-driven orchestration ➡️ From disconnected alerts to context-aware operations ➡️ From static governance to operational trust Download now: https://bit.ly/3SBUvM0

Analytics is entering a new era. One where people and AI agents need to explore, reason, and act across trusted data. Qlik has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms. Read the report to learn why: https://bit.ly/4v8dBae

The future of enterprise AI isn't built alone. In his latest interview with CRN, Qlik's Michael Gray discusses the "power of three," bringing together Qlik, technology partners, and solution providers to help customers move from trusted data to real AI outcomes. He also shares his vision for a partner program that's even simpler, more predictable, and more rewarding for partners. Read the interview: https://bit.ly/4asoxb7

For data engineers, it’s one thing to need answers. It’s another to need answers you can trust. When a spike hit, this data team was ready. The business had context because the foundation was already in place: social signals, SAP inventory, Apache Iceberg transaction data, all in one trusted data product. That foundation doesn’t get built during the crisis. It gets built before it. Does your data work for AI? Watch the story from three perspectives, including the data engineer: https://bit.ly/3Qyk9AK

Today, we're making it easier for organizations to deliver trusted, AI-ready data at scale with the general availability of Agentic Data Engineering in Qlik Talend Cloud. Moving from AI ambition to AI outcomes starts with trusted data. Learn more: https://bit.ly/4wavCpc

Agentic AI needs more than faster pipelines. It needs trusted data infrastructure. Starting today, Qlik Agentic Data Engineering is now generally available in Qlik Talend Cloud, helping data teams move from manual pipeline work to governed, quality-scored data products built for AI. With new data engineering agents, declarative pipelines, expanded agentic routes and integrated governance, teams can automate more of the work behind trusted data while keeping control of quality, context and lineage. More from Qlik's Matthew Hayes: https://bit.ly/448s1Mn