Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), is expanding its AI-ready data integration capabilities, delivering new enhancements across SAP, Databricks, and Snowflake.
According to the company, these advancements empower enterprises to streamline data workflows, accelerate AI deployment, and gain faster insights, ensuring that business intelligence is built and scaled on quality, real-time data running on Amazon Web Services (AWS).
“Enterprises know that to truly leverage AI, they need high-quality, accessible data. Our latest enhancements build on Qlik’s strong integration foundation, making it easier for companies to get their data AI-ready, whether they are utilizing SAP systems, Databricks, or Snowflake,” said Drew Clarke, executive vice president and general manager of Qlik's Data Business Unit. “With these new capabilities, we’re providing the reliable, real-time data environment businesses need to innovate with confidence.”
New Capabilities Include:
- Expanded SAP OData Support: Enhanced integration with SAP Rise and SAP Cloud, facilitating smoother cloud migrations and enabling better data extraction for richer insights and improved operational efficiency.
- AI-Ready Components for Databricks: Improved connectivity to seamlessly link real-time data with advanced AI models, allowing for faster and more precise deployments.
- Real-Time Data Connections for Snowflake: New integration enhancements that accelerate the deployment of AI insights within the Snowflake ecosystem, optimizing performance and supporting faster decision-making.
According to the company, these updates represent an important step in Qlik’s ongoing mission to allow enterprises to achieve tangible AI outcomes. Beyond integration, Qlik’s platform offers a comprehensive AI value chain, including advanced analytics capabilities like Qlik Answers, which transform unstructured data into actionable insights. By providing a robust, end-to-end solution, Qlik ensures that organizations can seamlessly move from data collection to analytics, and finally to AI-driven decision-making.
For more information about this news, visit www.qlik.com.