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Maximize the Value of Your Enterprise Data with AI. Everyone in your organization can leverage predictive and generative AI. Qlik’s AI solutions are seamless, self-service, and contextual, enabling better decision-making across the board.
The presentation by Qlik at Tech Field Day Experience at Qlik Connect 2024, led by Ryan Welsh and Kyle Jourdan, focused on Qlik’s self-service AI solutions aimed at maximizing the value of enterprise data through predictive and generative AI.
Ryan Welsh, who joined Qlik through the acquisition of Kyndi, discussed the limitations of large language models (LLMs) in enterprise settings, particularly their tendency to produce inaccurate results due to outdated or incomplete data. He emphasized the necessity of combining LLMs with contextual enterprise data to create reliable AI solutions. Welsh introduced Qlik Answers, a Retrieval Augmented Generation (RAG) product designed to provide contextually relevant and trustworthy answers from unstructured content, addressing the pitfalls of traditional search engines.
Qlik Answers is a plug-and-play solution that simplifies deployment by integrating directly into existing applications, such as customer support systems, to offer direct, reliable answers. This system leverages advanced AI to link back to source documents, ensuring transparency and trustworthiness in the provided answers. Welsh highlighted the importance of focusing on specific user groups and repositories of information to enhance the system’s effectiveness and avoid the complexities of broad, enterprise-wide search systems.
Kyle Jourdan then demonstrated the capabilities of Qlik AutoML, which allows analytics teams to create predictive models, explore data, and run experiments without needing deep data science expertise. Together, these tools enable organizations to leverage both structured and unstructured data for better decision-making.
The presentation underscored Qlik’s commitment to providing seamless, self-service AI solutions that integrate advanced AI models and enterprise data, ultimately enhancing the efficiency and effectiveness of business operations.
Personnel: Kyle Jourdan, Ryan Welsh
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