Qlik®, a global leader in data integration, analytics, and Artificial Intelligence (AI), recently 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.
Unlocking Compelling Business Value with Databricks AI Functions
The integration of Qlik with Databricks AI Functions brings forth several enhancements that streamline and amplify AI capabilities for enterprises. 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 it easier to deploy AI-driven transformations and analyses.
- Advanced AI Functionality. Qlik customers can now utilise 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 the performance of sophisticated transformation and processing through simple drag-and-drop functionality.
- Support for Databricks Vector Store. Empowering analytics from both structured and unstructured data, this upcoming capability 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. By leveraging Qlik’s data solutions with Databricks’ AI Functions, businesses can achieve faster and more accurate insights. 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,” said 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.”
“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 integration with Databricks AI Functions delivers substantial benefits, notably enhancing operational efficiency by automating data workflows, which drastically cuts the time from data collection to insight generation. It also empowers businesses with the ability to perform predictive analytics, optimizing operations and decision-making processes. Furthermore, this integration offers a competitive edge by equipping companies with the tools to proactively respond to market changes and capitalize on data-driven opportunities.
For more detailed information about this integration with Databricks AI Functions and to start leveraging these advanced tools, visit our information page: https://www.qlik.com/us/products/technology/databricks.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)