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Qlik's clarity playbook for trusted, agentic AI - SiliconANGLE
Artificial intelligence is forcing a reckoning across the enterprise data landscape, and QlikTech International AB has staked its claim with a vision grounded in precision, openness and execution. The company is positioning itself as more than a participant in the agentic AI era, aiming to become
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Qlik Launches Cloud Data Lakehouse, AI Agentic Capabilities
At this week's Qlik Connect 2025 event the analytics, data integration and AI tech company expanded its product portfolio with an eye to providing partners and customers with more effective ways to prepare data for AI tasks and build analytical insights and AI outcomes into business
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Qlik introduces a fully managed data lakehouse and advanced AI capabilities, positioning itself as a leader in the agentic AI era with a focus on trusted data and actionable insights.

Qlik, a leader in analytics and data integration, has unveiled a suite of new products and capabilities at its Qlik Connect 2025 event, positioning itself at the forefront of the agentic AI era. The company's latest offerings aim to bridge the "AI activation gap" by providing enterprises with tools to effectively prepare data for AI tasks and integrate analytical insights into business workflows
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.At the heart of Qlik's announcements is the Qlik Open Lakehouse, a fully managed data lakehouse service built on the Apache Iceberg standard. This new offering promises:
The Open Lakehouse, set for general availability in July, supports various Iceberg-compatible data processing engines, including Snowflake, Amazon Athena, and Apache Spark
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.Qlik is introducing an AI "agentic experience" across its Cloud platform, featuring:
These agentic AI capabilities are designed to provide a conversational interface for users to interact with data, uncover insights, and take action based on analytical results
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.The company is also embedding new AI capabilities within its Qlik Cloud Analytics service, including:
These enhancements aim to add a new layer of intelligence across the platform, helping users prepare data faster and detect anomalies more efficiently
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Mike Capone, CEO of Qlik, emphasized the company's foresight in building an end-to-end platform to support the shift towards AI:
"We saw this AI thing coming. We saw this wave of AI, but we knew the key to it was going to be data. Data, data quality, data governance [and] trust."
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Qlik's strategy reflects a larger industry pivot from data complexity to agentic clarity. The company's focus on unifying data across environments and delivering actionable results has resonated with customers like Truist Bank, which has leveraged Qlik's solutions to accelerate its digital transformation
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.Qlik's expanded portfolio presents significant opportunities for channel partners. The company's investments in R&D and strategic acquisitions have positioned it to meet the evolving needs of AI and data analysis systems
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.As enterprises grapple with the challenges of making AI cost-effective and actionable, Qlik's integrated approach to data management, analytics, and AI activation could prove instrumental in helping businesses realize tangible returns on their AI investments
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