PHILADELPHIA, PA – Qlik® has announced its vision for the trends set to shape the future of artificial intelligence (AI) and data-driven business in 2025. Drawing insights from its expertise and collaborations with industry leaders, Qlik identified three key themes that will define the landscape in the coming year: Authenticity, Applied Value, and Agents.
These trends, developed by Qlik’s market intelligence team and informed by its Executive Advisory Board (EAB) and AI Council, explore both the opportunities and challenges ahead for AI integration in businesses.
Authenticity in the Age of Generative AI
With the rapid growth of generative AI, the question of authenticity has become increasingly critical. Businesses are tasked with ensuring their data and outputs remain credible in a saturated digital space.
“It’s imperative that organizations seek trust building and verification of sources,” said Dr. Rumman Chowdhury, CEO and Founder of Humane Intelligence. “Authentic output – based on real data produced by real people with real perspectives, rather than artificially generated ones – will be at a premium in the very near future.”
Maintaining authenticity, Qlik believes, will be a significant factor in retaining stakeholder trust and business relevance as generative technologies evolve.
Unlocking Applied Value
AI adoption continues to accelerate, but businesses are now under pressure to demonstrate its return on investment (ROI). According to Qlik, the focus for 2025 will shift from exploratory use toward practical AI applications that drive measurable outcomes.
“We have passed the initial excitement that came with the breakthrough of generative AI, and we are now in a space of figuring out its practical applications,” said Kelly Forbes, Co-Founder and Executive Director of AI Asia Pacific Institute. “We are not yet using AI to its full potential, but through awareness, education, and careful stewardship, we will work toward that in the year ahead.”
Organizations that successfully embed AI within real-world contexts while balancing the costs against the tangible value it generates will stand out as leaders in innovation.
Agents and the Future of Operations
The concept of autonomous agents – systems capable of learning and acting without human intervention – is set to revolutionize workflows. While widespread adoption may still be years away, businesses are already laying the groundwork for this shift.
“It won’t happen next year, but by 2030, multi-agent architectures won’t be revolutionary; it’ll be ordinary,” said Nina Schick, Author, Advisor, and Founder of Tamang Ventures. “Businesses, from Fortune 500 giants to two-person startups, will harness this intelligence at their fingertips.”
Qlik emphasized the need for companies to focus now on building robust data infrastructures and interconnected systems to prepare for this transformation.
Dr. Michael Bronstein, DeepMind Professor of AI at the University of Oxford, added, “AI is not some force of nature, but our creation, and we need to shape it for our benefit. It’s not about machines replacing humans, but rather amplifying human potential and taking us to the next level.”
A Strategic Imperative
Qlik’s Chief Strategy Officer, James Fisher, underscored the pivotal moment businesses face as they integrate AI into their operations.
“As businesses grapple with the realities of AI integration, success will come to those who approach it as a strategic imperative, not a trend,” Fisher said. “Building smart, interoperable data ecosystems lays the groundwork for operational excellence while enabling businesses to uncover entirely new opportunities for growth and innovation. This is the tipping point for organizations ready to lead.”
Qlik’s exploration of these themes highlights both challenges and opportunities for organizations seeking to leverage AI as a tool for strategic growth in 2025 and beyond. With a focus on authenticity, ROI-driven applications, and preparing for autonomous agents, businesses have the chance to redefine the way they operate and create value in a rapidly evolving technological landscape.
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