Qlik, a global data analytics and integration leader, has introduced its inaugural AI Council. Comprising renowned experts, the council aims to propel responsible development of Qlik’s AI-driven products. This initiative underscores Qlik’s commitment to ethical AI and its dedication to assisting customers in maximizing business outcomes through data.
“The formation of Qlik’s AI Council is a strategic leap, reflecting our deep-seated commitment to not just advancing AI, but doing so with ethical integrity and practical applicability. Our goal is crystal clear: to enable our customers to harness AI in a way that’s not only transformative, but also responsible. By uniting a cadre of AI luminaries, we are sharpening our focus on delivering AI solutions that are not just cutting-edge, but also seamlessly integrated and governed. This initiative is a pivotal chapter in our journey, marking a bold move towards democratizing AI in a manner that is both accessible and aligned with our core mission of driving substantial, data-driven business outcomes.”
Mike Capone, CEO of Qlik
What you should know
- Industry Insights: Qlik’s Generative AI Benchmark Report reveals that a significant percentage of senior executives plan substantial investments in generative AI initiatives, emphasizing the importance of responsible data strategies.
- Distinguished Council Members: Notable experts like Nina Schick, Dr. Rumman Chowdhury, Kelly Forbes, and Dr. Michael Bronstein will guide Qlik’s R&D, inform the product roadmap, and ensure responsible AI use.
- Global Impact: The AI Council, featuring experts with diverse experiences, will not only shape Qlik’s AI development but also educate leaders and employees on maximizing AI potential.
Qlik’s establishment of the AI Council signifies a bold move toward democratizing AI responsibly. By uniting luminaries in the field, Qlik aims to deliver cutting-edge and seamlessly integrated AI solutions. The AI Council’s insights will be shared at Qlik Connect, offering a platform for global leaders to delve into the opportunities and challenges of automation in data strategy.
