Systems | Development | Analytics | API | Testing

Join Ouadie Limouni and Mike Tarallo on this week's Qlik Live Stream Friday for a look at Choose Your Champion 2026, an interactive World Cup prediction experience powered by. Ouadie will walk through the application, highlighting how machine learning, interactive analytics, and conversational were combined to create a unique fan experience for World Cup 2026 predictions.

The secret to a seamless customer experience? Embedding your intelligence. Ligentia wanted one consistent, branded experience across their entire supply chain offer. The fix? Partnering with ThoughtSpot. Catch Ligentia CIO Boris R. and Cindi Howson on podcast discussing how to turn standard apps into data powerhouses. Music: “The Clermont” by Flash Fluharty Licensed via PremiumBeat, ID: P9IHFMDYNZCKLEFZ.

Struggling to get clear, reproducible insights from petabytes of data? Join Charu Anchlia, Principal Engineer II at Cloudera, to see how Cloudera Agent Studio brings business users and tech analysts together under one simple interface. See how multi-agent orchestration—using specialized SQL and coding agents—can solve complex data analysis challenges, generate real-time visualizations, and seamlessly transform LLM outputs into repeatable Airflow pipelines.

Even if you can see exactly what is wrong with your data platform. Why is none of it getting fixed? A 30-minute conversation on closing the gap between what your dashboards see and what your team can actually get done, across Databricks, Snowflake, and BigQuery. Why it matters Most data teams are not short on insight anymore. The dashboards are full. Cost reports flag cost overruns. Observability platforms catch infrastructure misallocations. New AI assistants will even draft query rewrites for you.

Every product team wants smarter analytics and AI. But for organizations that operate on-premises, in a hybrid-cloud environment, or regulated industries that can’t share protected data on the cloud, this forces them to either migrate or leave intelligence features behind. Can you access advanced analytics features without being boxed into a vendor’s cloud environment? Watch our video to learn: How to access analytics without compromise About tailored analytics experiences in a single platform.

Most teams building agents with Temporal have solved the backend problem: crashed workflows restart, LLM call failures retry automatically, and long-running tasks complete reliably. What they haven't solved is the client side -- what happens to the stream when the user's connection drops, when they switch devices, or when two sub-agents are working concurrently and the client needs a single coherent view.

They fit into the workflows, processes, and environments teams already have. As Chris Armstrong, Manager of Developer Relations at SmartBear, explains, every organization is on a different stage of its journey. Some are exploring AI. Others are scaling it. Many are managing a mix of legacy systems, modern platforms, and everything in between. What teams need isn't another platform that demands a complete overhaul. They need solutions that respect their context while helping them move forward with confidence.

Hey, did you know? The fastest way to AI might not be adding more tools. It might be getting more value from the data you already have. See how Cloudera helps reduce data costs, unify governance, and make enterprise data AI-ready without disrupting operations.

Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment.

For decades, network teams have been forced to choose between speed and stability. AI may finally be changing that equation. In this episode of The AI Forecast, Paul Muller sits down with John Capobianco, Head of AI and Developer Relations at Itential and author of “Automate Your Network,” to explore how AI is reshaping the future of network operations. Drawing on decades of experience in network engineering, John explains why network automation has struggled to gain traction and how AI, agents, and Model Context Protocol (MCP) could finally break the bottleneck.