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HomeApplications & Use CasesQlik Answers Revolutionizes Enterprise AI with Explainable, Actionable Intelligence

Qlik Answers Revolutionizes Enterprise AI with Explainable, Actionable Intelligence

TLDR: Qlik has announced the growing enterprise adoption of Qlik Answers, a new self-service AI solution designed to bridge the AI gap for businesses by providing explainable and actionable intelligence at scale. Leveraging generative AI and Retrieval Augmented Generation (RAG) on Amazon Bedrock, Qlik Answers transforms unstructured data into precise, contextually relevant insights with full transparency, enabling faster, more confident decision-making and operational efficiency across various sectors.

Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), has announced the significant enterprise adoption of its new solution, Qlik Answers. Launched to address the critical need for explainable and actionable intelligence at scale, Qlik Answers aims to transition companies from AI prototypes to robust, business-critical deployments.

Built to navigate the complexities of real-world data environments, Qlik Answers empowers organizations to extract precise, explainable, and rapid intelligence from vast amounts of unstructured data. The solution is designed to overcome common obstacles in enterprise AI adoption, such as the lack of governance and contextual understanding often found in large language models, particularly in regulated industries.

At its core, Qlik Answers leverages the Amazon Bedrock platform, combining generative AI with Qlik’s established data analytics capabilities. It employs Retrieval Augmented Generation (RAG) to dynamically retrieve relevant documents from pre-indexed knowledge bases, generating context-rich answers grounded in an organization’s own data. This approach not only provides answers but also recommends actions, complete with full lineage and traceability, fostering trust and transparency by linking answers directly to their source documents.

Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit, emphasized the shift in enterprise focus: “Enterprises are rightly scrutinizing AI tools for practical value and reliability. With Qlik Answers, we’re seeing customers transition from experimentation to execution, using their own data assets to solve real problems, today.” He added, “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.”

Key benefits of Qlik Answers include AI-powered responses, rapid plug-and-play deployment (often within hours), full explainability, and broad connectivity with existing systems and platforms through Qlik’s enterprise connectors. It seamlessly integrates with Qlik Cloud and Qlik Predict, enhancing decision-making and operational efficiency.

Customer success stories highlight the solution’s impact:

Bystronic, a global sheet-metal processing specialist, launched an AI chatbot within 15 minutes, enabling employees to query real-time operations data and receive sourced answers across departments. Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group, noted, “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.”

Lintech International indexed over 17,000 technical documents, reducing manual research, accelerating response times by 75%, and allowing business managers to reclaim up to seven hours per week.

TouchPoint Support Services, serving 650 healthcare sites, deployed Qlik Answers to provide rapid and compliant guidance to 15,000 staff members in highly regulated, fast-paced environments.

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These deployments underscore a broader trend in enterprise AI: a move from static dashboards to dynamic assistants, and from experimental models to explainable, actionable tools. Qlik Answers is positioned as a layer of decision intelligence built directly into the fabric of work, offering a viable path for businesses to operationalize AI with urgency and accountability.

Ananya Rao
Ananya Raohttps://blogs.edgentiq.com
Ananya Rao is a tech journalist with a passion for dissecting the fast-moving world of Generative AI. With a background in computer science and a sharp editorial eye, she connects the dots between policy, innovation, and business. Ananya excels in real-time reporting and specializes in uncovering how startups and enterprises in India are navigating the GenAI boom. She brings urgency and clarity to every breaking news piece she writes. You can reach her out at: [email protected]

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