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Tuesday, July 16, 2024

Qlik Uses Databricks AI to Enhance Data Solutions

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Unlocking the power of AI for business! Qlik and Databricks join forces to streamline AI workflows and empower data-driven decision-making.

Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced a new strategic integration with Databricks AI Functions, enhancing enterprise AI capabilities through advanced data solutions. Following the recent launch of Qlik Talend Cloud, this integration further accelerates Qlik’s focus on streamlining data workflows and bolstering AI-driven business outcomes.

The integration allows enterprises to access advanced Databricks’ Mosaic AI functionalities without extensive infrastructure changes or specialized training, facilitated by the advanced features of the newly launched Qlik Talend Cloud and empowering companies to unlock new levels of efficiency and innovation.

The integration of Qlik with Databricks AI Functions brings forth several enhancements that streamline and amplify enterprises’ AI capabilities. This fusion between Qlik’s data integration platform and Databricks AI model APIs empowers users to tap into advanced AI functionalities on the Databricks Data Intelligence Platform directly within their analytics workflows, making deploying AI-driven transformations and analyses easier.

  • Advanced AI Functionality: Qlik customers can now utilize Databricks AI Functions such as sentiment analysis, classification, and translation within their Qlik Cloud Data Integration workflow. With Qlik Talend Cloud’s modern data engineering and AI-augmented data enrichment, this integration enables sophisticated transformation and processing to be performed through simple drag-and-drop functionality.
  • Support for Databricks Vector Store: This upcoming capability empowers analytics from both structured and unstructured data. It leverages Databricks Vector Store for Retrieval-Augmented Generation (RAG) applications that can tap into a corpus of enterprise-trusted, high-quality data, enhancing the depth of AI-driven analytics.
  • Enhanced Data Management and Analytics: The integration builds on Databrick’s comprehensive capabilities, particularly in handling large volumes and varieties of data. Qlik Talend Cloud adds functionalities around data lineage, historical data management, and the creation of data products, which are essential for maintaining data integrity and compliance. This integration ensures that the enriched AI-ready data provided by Qlik Talend Cloud is available on the Databricks Data Intelligence Platform.
  • Strategic Business Value: Businesses can achieve faster and more accurate insights by leveraging Qlik’s data solutions with Databricks’ AI Functions. This leads to improved decision-making processes, heightened operational efficiency, and the ability to swiftly adapt to market changes. The pioneering Qlik Talend Trust Score for AI further ensures the reliability and effectiveness of AI-driven insights.

“Through our integration with Databricks, Qlik is pushing the boundaries of enterprise AI, making it more effective and accessible,” stated David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. “This collaboration helps our customers to transform data into strategic assets, accelerating innovation and enhancing business agility.”

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“Our partnership with Qlik underscores our shared commitment to advance AI-driven analytics,” said Roger Murff, VP of Technology Partners at Databricks. “This integration enables our shared customers to leverage Databricks’ AI Functions within Qlik’s trusted data solutions, streamlining their processes and enabling them to harness the full potential of their data for superior business outcomes.”

The Qlik-Databricks integration delivers substantial benefits, notably enhancing operational efficiency by automating data workflows and drastically reducing the time from data collection to insight generation. It also empowers businesses to perform predictive analytics, optimizing operations and decision-making processes. Furthermore, this integration offers a competitive edge by equipping companies with the tools to respond to market changes and capitalize on data-driven opportunities proactively.

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