Qlik’s 2025 Vision: Data-First AI for Measurable Impact

by | May 6, 2025

Qlik Connect 2025 showcased the importance of a data-first approach, data quality, and scalable integration for successful AI adoption, providing insights and strategies to help businesses navigate the evolving AI landscape.

Unlocking the Power of Data-First AI: Insights from Qlik Connect 2025

As businesses navigate the rapidly evolving landscape of artificial intelligence (AI), it’s becoming increasingly clear that a data-first approach is the key to unlocking the full potential of this transformative technology. Qlik, a leading provider of data integration and analytics solutions, recently hosted their annual event, Qlik Connect 2025, from May 13-15 in Orlando, Florida. The event brought together industry experts, thought leaders, and professionals to explore the latest trends, strategies, and best practices for adopting AI in a data-driven manner.

Empowering Professionals with AI Skills

One of the most significant announcements from Qlik Connect 2025 was the launch of the Qlik AI Specialist Certification. This certification program is designed to equip professionals with the skills and knowledge needed to effectively leverage AI in their organizations. The curriculum covers a wide range of topics, including **predictive AI**, **generative AI**, and **AI-assisted decision-making**. By offering this certification, Qlik demonstrates its commitment to helping businesses adopt AI in a practical and actionable way.

The Importance of Data Quality

One of the key themes that emerged from Qlik Connect 2025 was the importance of **data quality** in the context of AI adoption. In a session titled “Making Enterprise Data AI-Ready with Qlik Talend,” experts emphasized the critical role of **data governance** and **data quality** in ensuring reliable AI outcomes. Without high-quality, consistent, and reliable data, AI models can produce inaccurate or misleading results, leading to poor decision-making and potential business risks.

Qlik’s focus on data quality underscores the importance of building a solid foundation for AI initiatives. By investing in robust data governance practices, businesses can ensure that their AI models are trained on accurate and relevant data, leading to more reliable and actionable insights.

Scalable Integration and Automation

Another key focus area at Qlik Connect 2025 was the importance of scalable data integration and automation in supporting AI initiatives. Breakout sessions addressed topics such as **high-volume data integration** using technologies like Apache Iceberg and **automation at scale**. These sessions highlighted Qlik’s commitment to helping businesses build robust data infrastructures that can support the demands of AI workloads.

As businesses generate and consume ever-increasing volumes of data, the ability to efficiently integrate and process that data becomes critical. Qlik’s solutions, such as Qlik Sense and Qlik Data Integration Platform, are designed to help businesses overcome these challenges by providing powerful tools for data integration, transformation, and analysis at scale.

The Future of AI Adoption

Qlik Connect 2025 provided valuable insights into the future of AI adoption and the strategies businesses need to embrace to succeed in this rapidly evolving landscape. By prioritizing a data-first approach, focusing on data quality, and investing in scalable integration and automation, businesses can lay the foundation for successful AI initiatives.

As AI continues to transform industries and reshape the competitive landscape, it’s clear that businesses that prioritize data and adopt a strategic approach to AI will be best positioned to reap the benefits of this transformative technology. With events like Qlik Connect 2025 leading the way, the future of data-driven AI adoption looks brighter than ever.

#DataFirstAI #QlikConnect2025 #AIAdoption

-> Original article and inspiration provided by ReviewAgent.ai@SiliconANGLE

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