spot_img

Date:

Share:

Qlik Predict Brings No-Code Predictive Intelligence to the Front Lines of Business

Enterprises accelerate adoption of AI-driven forecasting with Qlik Predict™, embedding trusted, explainable predictions directly into decision-making workflows

Philadelphia, PA, October 18, 2025 – Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), has announced the rapid adoption of Qlik Predict, as enterprises turn to real-time, explainable forecasting to drive smarter, faster decisions at scale. Built for enterprise-grade reliability and governance, Qlik Predict transforms how organisations leverage machine learning, putting no-code predictive models directly in the hands of business users across functions.

Qlik Predict is AI operating at scale today across leading global businesses. The solution operationalises predictions by embedding them into frontline workflows. Whether it’s forecasting demand in manufacturing, predicting patient outcomes in healthcare, or anticipating churn in financial services, Qlik Predict brings clarity and actionability to every decision point, all without requiring advanced technical expertise.

“Executives are racing to turn AI from promise into performance where decisions happen hour by hour,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “Qlik Predict embeds trusted forecasts directly in workflows, so frontline teams build and use models through a no-code experience while IT retains governance and auditability. Customers are converting pilots into production outcomes at scale with faster decisions, clearer accountability, and measurable impact.”

Enterprises are already putting Qlik Predict to work in high-stakes, fast-moving environments:

  • SLA Software Logistik Artland, an end-to-end provider of solutions in the food industry, used Qlik Predict to cut production deviation to just 1%
  • Village Roadshow, one of the leading entertainment companies in Australia, leverages Qlik Predict to optimise staffing levels, costs, and the customer experience
  • Steinemann, a leader in the meat processing industry implemented Qlik Predict to generate in-depth analyses, making production forecasts more than 90% accurate
  • Logistics Plus, a global provider of logistics services cut shipment error from 20% to less than 1%

Powered by Qlik Cloud® and built to integrate seamlessly with enterprise data sources, Qlik Predict provides:

  • Intuitive, code-free modelling that supports diverse needs across an organisation
  • Explainable results with SHAP-based visualisations that update as users explore data and meet AI governance standards
  • Native integration into workflows with the ability to set alerts and explore what-if scenarios, ensuring predictions are actionable at the point of decision

By embedding predictive insights into every single function, organisations can shift from hindsight to foresight, gaining a competitive edge in the process and making the case for AI implementation. Qlik Predict offers a path forward that is both practical and powerful. Governed, explainable, and tightly integrated into the Qlik ecosystem, it empowers teams to act confidently and move beyond reactive analytics and toward anticipatory intelligence.

spot_img
spot_img

━ More like this

Africanising technology: Why AI must be built for the continent, not imported into it

The narrative about Africa’s technological future is often framed through the narrow lens that the continent must “catch up” to global innovation. But this...

While technology changes the world, economics decides its value

Electricity transformed the world, not simply because it existed but because of what it made possible. That distinction may prove important as we think...

SMB study: Small banks lead in AI – but scale lags

As AI use proliferates in the SMB sector, small banks, credit unions and lenders have put banking on the AI leaderboard – ahead of...

Data maturity is what stalls most AI roadmaps

Businesses are spending months choosing models, copilots and platforms. Dariel's Sasha Slankamenac says the bigger risk sits in the data underneath, which was never...

How community-led AI-powered X-Rays are helping find TB among those without symptoms

Some of the people diagnosed with TB in a couple of important community-based screening initiatives in Delhi did not come to the health facility...
spot_img
spot_img