Combine the best functionality of Qlik Cloud Data Integration, Talend Cloud, and Stitch Data to rapidly deliver trusted data throughout your organization to drive AI innovation, intelligent decisions, and business modernization.

In this session, we will cover how HelloFresh is using Qlik SaaS and Inphinity forms to build a near real time monitoring application, and how we have then used automations and slack to improve data transfers and remove manual human reporting processes.

As AI rapidly transforms industries, organisations face the challenge of harnessing its power while upholding ethical standards and mitigating risks. This panel brings together leading data practitioners to explore strategies for responsible AI implementation with Qlik’s Antony Elliott, RVP EMEA North.

In this session, Onward Homes will share their data-driven journey towards enhancing customer satisfaction. They will dive into the challenges they faced, such as the growing demands on their repairs services and the impact these had on overall customer satisfaction. Learn how they leveraged AI to predict the likelihood of customer dissatisfaction or complaints, enabling them to proactively address issues before they escalate. This session will close by sharing how this AI solution is being implemented and how Since moving from a reactive to proactive and predictive approach, they have seen a 13% improvement in overall satisfaction (from 2021/22 to 2024/25 so far).

A plug-and-play, Generative AI-powered Knowledge Assistant that provides business users with personalized answers to questions sourced from unstructured content.

Organisations are at varying stages of data maturity, each grappling with unique challenges and setting different objectives and priorities. In this conversation with Rob Saunders, Director of Technology and Data, Montague Evans and Harpinder Sandhu, Head of Infrastructure, Aggregate Industries we explore the factors that determine why some businesses succeed in unlocking real value from their data, whilst others struggle to do so.

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Data-driven organizations require a unique and robust approach to unleash their data's full potential to ensure lineage, quality, trusted data, governance and security for efficient use and informed decisions.

Empower business analysts to create machine learning models that predict future outcomes, taking insight to unprecedented levels.

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Learn how Climber used Qlik Data Integration to help AESSEAL reduce their overnight data transfer to just minutes and improve the accuracy for reporting.

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Give visibility to your data platform: Seamlessly integrate between Qlik and your data platform, maximising the strengths of Qlik and the associative engine, providing an intuitive, operational monitoring application covering costs, usage, inventory, security and performance.

Revolutionize their attendance reporting. Manual spreadsheet compilation by 37 different admin teams is no longer necessary! With Inphinity, Bell Group has created a centralized attendance report, where data is entered directly into Qlik Cloud using Inphinity Forms - ensuring accuracy, up-to-date insights, and immense time savings for their teams.

Don't miss this opportunity to learn firsthand how Inphinity is transforming HR management, providing better visibility, enhanced accuracy, and improved planning capabilities for organizations like Bell.

Join Vivienne Parsons from South Central Ambulance Service and James Armstrong from Ordnance Survey as they delve into the transformative power of Mechanical Learning (ML) in the realm of emergency medical services. In an environment where every second counts, ambulance services are tasked with the critical challenge of responding to the most seriously ill patients within an average of seven minutes, all while managing up to one million 999 calls each month across the UK.

This presentation will explore the intricate balance between maintaining a safe and reliable fleet, ensuring the right clinicians are deployed with the appropriate skills and equipment, and addressing the additional demands of non-emergency patient transport between NHS facilities. As vehicles age, the increasing downtime due to maintenance and repairs poses a significant challenge to operational efficiency.

The dedicated Business Intelligence Team at South Central Ambulance Service has been at the forefront of tackling this issue. By analysing patterns in vehicle failures and collaborating with key partners, they are developing advanced ML models that generate vehicle failure risk scores. This innovative approach not only enhances fleet management but also paves the way for improved safety, increased productivity, and reduced operational costs.

Discover how leveraging telematics data can lead to a paradigm shift in ambulance services, ultimately enabling quicker, more reliable responses for those in dire need and minimising delays for all patients. This session promises to provide valuable insights into the future of emergency response, showcasing how technology can save lives and enhance the efficiency of healthcare delivery.