Year end trends commentary from Qlik – Nick Magnuson, Head of AI, Qlik
“In 2024, Generative AI takes the spotlight, evolving from a theoretical concept to a practical, business-oriented reality. This shift will particularly manifest in business-to-business (B2B) landscapes, where customized, domain-specific applications of AI take center stage. According to IDC FutureScape projections, by 2026, over 80% of generative AI use cases in enterprises will pivot towards tailored models, signifying a departure from standardized solutions to highly specialized solutions. This shift emphasizes the critical importance of data security and governance in developing and maintaining these customized AI models.
As organizations strive to address specific challenges, they’ll invest in domain-specific data, leading to the rise of “solution fabrics” that augment the capabilities of generic Generative AI. This transformation urges a reevaluation of traditional AI applications, highlighting their untapped potential for delivering significant organizational value. As the realization broadens, progressive businesses will embrace the broad spectrum of available AI technologies and continually invest in establishing a solid data foundation to support a robust portfolio of existing and future AI solutions.
The rise of Generative AI has also sparked significant buzz and a healthy dose of FOMO, elevating AI’s importance to C-level and even Board-level discussions. As Generative AI progresses into its practical phase, it’s crucial to remember: every facet of AI holds significance. While Generative AI gains traction, traditional AI – already delivering substantial organizational value – remains largely untapped by many. Organizations should explore the wide range of available AI solutions to optimize the speed and scope of their implementation, maximizing their benefits.”
