In a strategic turn for the enterprise artificial intelligence market, Qlik has presented its new Qlik Predict solution, a tool that aims to bring reliable predictive models to the daily activities of companies without their teams having to write code.
Qlik Predict is built to integrate directly into business workflows and put predictions at the fingertips of operations, finance, logistics, or customer service staff. Its proposal is clear: democratize predictive modeling with transparency, governance and explainable results from the first use.
Explainable AI at the service of business
The platform allows business teams to develop and use machine learning models without requiring deep technical knowledge, while IT retains control over governance, auditing and reliability. Thus, predictions do not become “black boxes” but rather tools aligned with corporate criteria.
“Executives are accelerating the pace to turn artificial intelligence into tangible performance, right where decisions are made every day,” said Brendan Grady, executive vice president of Analytics. “Qlik Predict integrates reliable forecasts directly into workflows, allowing frontline teams to create and use models without coding, while IT maintains governance and auditability. Customers are moving from pilot projects to productive, full-scale results, with faster decisions, greater clarity of accountability, and measurable impact.”
Qlik Predict is built to integrate directly into business workflows and put predictions at the fingertips of operations, finance, logistics, or customer service staff.
The solution offers visualizations based on SHAP (Shapley Additive Explanations), which allow the user to explore how each variable contributes to a prediction, and facilitates the configuration of automatic alerts or what-if scenarios to anticipate changes.
Real cases that support effectiveness
Several companies already adopt Qlik Predict in demanding environments:
- SLA Software Logistik Artland, in the food sector, managed to reduce production deviations to just 1%.
- Village Roadshow, in entertainment, optimizes its human resources, operating costs and customer experience.
- Steinemann, in meat processing, reports an accuracy of over 90% in its production forecasts.
- Global logistics company Logistics Plus reduced shipping errors from 20% to less than 1%.
Technological integration and operational advantages
Qlik Predict runs on top of Qlik Cloud and seamlessly connects to enterprise data sources. Among its capabilities:
- Intuitive, code-free model creation that can serve different divisions of the company.
- Explainable and visual results that allow you to audit predictions and meet governance standards.
- Native insertion of predictions into daily processes, with the possibility of generating alerts or simulating alternative scenarios.
Although the proposal is ambitious, any deployment of artificial intelligence comes with challenges. Maintaining data quality, avoiding model bias, ensuring interpretability for auditors and legal decision makers, and achieving adoption among end users are key tasks. Qlik is confident that its integrated governance approach and ease of use will mitigate those obstacles.
