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According to a Gartner® report , “By 2026, more than 80% of enterprises will have used generativeAI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”* Hype Cycle for GenerativeAI, 2023, 11 September 2023. All rights reserved.
With this GA release, weve introduced enhancements based on customer feedback, further improving scalability, observability, and flexibilitymaking AI-driven workflows easier to manage and optimize. GenerativeAI is no longer just about models generating responses, its about automation.
Figure 1: Data driven business transformation Critical aspects of data-driven business transformation are the overall data monetization strategy and how data products are used. Data insight and AIautomation drive cost optimization with predictive maintenance, process automation and workforce optimization.
By integrating intelligence into processes and products, Sisense’s AI-driven analytics help businesses make well-informed decisions and increase user engagement. More than 2,000 businesses have been using Sisense Fusion as a powerful AI and analytics platform to develop distinctive, high-value products.
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