Introducing the Qlik Analytics Migration Tool - Quick Demo

Migrating to Qlik Cloud Analytics The Qlik Cloud migration process lets your organization adopt Qlik Cloud at your own pace. When migrating from QlikView or Qlik Sense Client-Managed, your assets are reusable, and you can continue to build on existing investments without starting from scratch. In some cases, you can use the opportunity of having access to a modern platform to look at your existing assets with a fresh set of eyes and decide how you want to adopt them to make the best use of new capabilities and possibilities in Qlik Cloud.

10 Key Dashboard Design Principles: Analytics Best Practice

For many organizations, achieving effective dashboard design is a recurring problem. Simply put, a lot of effort is likely going into creating dashboards your intended audience don’t even look at. However, it's a problem that can be easily remedied following a few core principles.

The Ultimate Guide to Retail Data Analytics: Boost Retail Performance

Data is the backbone of modern business, and in the dynamic retail landscape, harnessing this power through retail data analytics isn't just an advantage, it's essential. With the right business intelligence (BI) tool, retailers can transform vast amounts of transactional data into actionable insights, helping optimize operations significantly. Gone are the days when intuition alone sufficed.

How Qlik Is Powering Bystronic's GenAI Transformation

Some data problems are universal — like dealing with unstructured data. At Bystronic, a global leader in sheet metal processing, we have mountains of it. From technical documentation to sales decks, HR policies, and IT knowledge bases, data is scattered across folders, servers, and systems. Industry research shows that 80% of enterprise data is unstructured, meaning it’s often invisible to the teams that need it most. As a result, up to 68% of that data goes unused. The impact is real.

How NeuBird's Hawkeye Automates Incident Resolution in Confluent Cloud

A joint post from the teams at NeuBird and Confluent For organizations leveraging Confluent, ensuring smooth operations is mission-critical. While Confluent Cloud eliminates the operational burden of managing Apache Kafka, application teams still need to monitor and troubleshoot client applications connecting to Kafka clusters.

Confluent Cloud is now available in the new AWS Marketplace AI Agents and Tools category

Confluent announces the availability of Confluent Cloud in the new AI Agents and Tools category of AWS Marketplace. This enables AWS customers to easily discover, buy, and deploy AI agent solutions, including Confluent's fully managed data streaming platform Confluent Cloud, using their AWS accounts, for accelerating AI agent and agentic workflow development.

AI at Scale Needs Control: Inside ClearML's Resource Allocation Policy Manager

By Erez Schnaider, Technical Product Marketing Manager, ClearML AI engineering today goes far beyond simply training a model. Teams are fine-tuning large language models on high-end GPUs, running massive, distributed experiments, and orchestrating hybrid workflows spanning on-premises clusters, private and public clouds. With great power comes great responsibility, and with powerful hardware comes complexity. Without robust controls, things can quickly descend into costly chaos: Who’s using what?