Find and compare the best Artificial Intelligence software for Qlik Sense in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Qlik Sense on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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SysAid Technologies
2,189 RatingsSysAid is the next-gen of ITSM, a comprehensive platform with generative AI baked into every element of service management, all wrapped up in an intuitive, fully conversational user experience. Empowering organizations to deliver exceptional service – automagically. This delights employees with a reliable, easily accessible, and incredibly convenient service experience. Frees up admins so they can focus on more strategic tasks. And liberates organizations to unleash their true potential. -
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Indexima Data Hub
Indexima
$3,290 per monthReframe your perception of time with data analytics. Instantly access the data of your business and work directly in your dashboard, without having to go back and forth with your IT team. Indexima DataHub is a new space where operational and functional users can instantly access their data. Indexima's unique indexing engine, combined with machine learning, allows businesses to quickly and easily access their data. The robust and scalable solution allows businesses to query their data directly from the source in volumes of up to tens billions of rows within milliseconds. With our Indexima platform, users can implement instant analytics for all their data with just one click. Indexima’s new ROI and TCO Calculator will help you determine the ROI of your data platform in just 30 seconds. Infrastructure costs, project deployment times, and data engineering cost, while boosting analytical performances. -
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Arria NLG Studio
Arria NLG
NLG Studio is an Artificial Intelligence solution (AI) developed by Arria NLG to be used by small and medium-sized companies. It provides them with full-time skills similar to financial analysts. This includes spotting trends and identifying problems and forecasting what's likely next. Arria's patented technology has been used to create a SaaS-based solution that provides relevant details in just seconds via Natural Language Generation. This platform combines financial and business intelligence. -
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Quill
Narrative Science
Quill turns data into stories and embeds them into your favorite dashboards. You can stop explaining dashboards over-and-over. Data stories can be delivered in any dashboard or domain. Your business will see a rise in dashboard usage. Quill lets you automatically create data-driven stories, regardless of whether you are using Tableau, Power BI or Qlik. -
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Kraken
Big Squid
$100 per monthKraken is suitable for all data scientists and analysts. It is designed to be easy-to-use and no-code automated machine-learning platform. The Kraken no code automated machine learning platform (AutoML), simplifies and automates data science tasks such as data prep, data cleaning and algorithm selection. It also allows for model training and deployment. Kraken was designed with engineers and analysts in mind. If you've done data analysis before, you're ready! Kraken's intuitive interface and integrated SONAR(c), training make it easy for citizens to become data scientists. Data scientists can work more efficiently and faster with advanced features. You can use Excel or flat files for daily reporting, or just ad-hoc analysis. With Kraken's drag-and-drop CSV upload feature and the Amazon S3 connector, you can quickly start building models. Kraken's Data Connectors allow you to connect with your favorite data warehouse, business intelligence tool, or cloud storage. -
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MindsDB
MindsDB
Open-Source AI layer for databases. Machine Learning capabilities can be integrated directly into your data domain to increase efficiency and productivity. MindsDB makes it easy to create, train, and then test ML models. Then publish them as virtual AI tables into databases. Integrate seamlessly with all major databases. SQL queries can be used to manipulate ML models. You can increase model training speed using GPU without affecting the performance of your database. Learn how the ML model arrived at its conclusions and what factors affect prediction confidence. Visual tools that allow you to analyze model performance. SQL and Python queries that return explanation insights in a single code. You can use What-if analysis to determine confidence based upon different inputs. Automate the process for applying machine learning using the state-of the-art Lightwood AutoML library. Machine Learning can be used to create custom solutions in your preferred programming language.
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