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Microsoft Foundry Agent Service and Microsoft Agent Framework are complementary, not competing. Agent Framework is the open .NET and Python developer framework for building agents and multi-agent workflows in code — the design and orchestration layer. Foundry Agent Service is the managed runtime and control plane that runs, secures, observes, and publishes those agents inside Microsoft Foundry.

Discover how Databricks Genie One brings conversational BI, dashboards, documents, and data assets together in a single experience. Learn why successful adoption depends not only on AI capabilities, but on a strong, governed data foundation.

Databricks Genie ZeroOps introduces autonomous monitoring, root cause analysis and safe remediation for Databricks workloads, helping data teams spend less time firefighting. Discover how element61's Ralph 24/7 extends this vision across the entire Azure data ecosystem for end-to-end operational peace of mind.

Qlik Cloud offers two licensing models: user-based licensing for organizations with stable, predictable user access, and capacity-based licensing, Qlik’s strategic model for all new subscriptions since March 2025. This article explains the key differences, benefits, and migration considerations, while sharing practical capacity optimization strategies to help organizations control costs, scale analytics efficiently, and maximize the value of their Qlik Cloud investment.

Opinion insight on the new announcements on the Databricks Data + AI Summit 2026, written as we attend the event in San Francisco, with an honest and open view as experienced and reflected by our element61 consultants present.

This article explores how the new Expression Context property transforms calculated columns into dynamic, personalized, and memory-efficient building blocks in Power BI semantic models.

The merger of Fivetran and dbt Labs brings together automated data ingestion and governed data transformation into one stronger foundation for modern data platforms. For customers, this means a smoother path from raw data to trusted, reusable data products. Ultimately, it helps reduce manual effort while improving data quality, governance, and readiness for analytics and AI.

Most organisations use Microsoft Teams and Qlik Cloud separately, which leads to delays, manual reporting, and missed updates. This article explains how to bridge that gap by integrating the two platforms. It highlights four practical use cases that bring data directly into Teams conversations to enable faster, data-driven decisions.