Smarter, Fairer, and More Transparent AI in Qlik Predict

In a previous blog post, we introduced one of the most significant advancements in Qlik Predict to date — multivariate time series (MVTS) forecasting, bringing enterprise-scale accuracy and context to complex prediction problems. But MVTS is only part of the story. Over the past few months, we’ve continued to enhance Qlik Predict with several powerful updates designed to make predictive AI more trustworthy, fair, and connected for our customers.

From Complexity to Clarity: How Ecolab Simplifies KPIs with ThoughtSpot

Ecolab faced challenges managing data across multiple ERPs and geographies — legacy tools required multiple models just to get the insights they needed. With ThoughtSpot, they were able to model their data in a way that preserved transaction-level detail while giving a unified view of KPIs and metrics across the organization. This not only simplified reporting but also drove higher executive adoption and faster, smarter decision-making.

Data Streaming Platforms: The Cornerstone of Enterprise AI

Is your artificial intelligence (AI) underperforming? You're not alone. Stale, fragmented data is a leading obstacle to optimal AI performance. Outdated information cripples your decision-making, fuels operational inefficiencies, and leads to missed opportunities—from slow fraud detection to irrelevant chatbot responses. AI’s rapid evolution makes real-time data even more critical: That’s why real-time data streaming isn’t merely an option.

Achieve Complete Observability Over Your Data Pipelines

Data teams today manage hundreds of moving parts, from sources and syncs to transformations and warehouses, yet often find out something’s broken only after dashboards go blank or reports turn unreliable. When every second of data downtime affects critical decisions, visibility isn’t optional; it’s essential.