Exploring the Gap: Reasons Behind Lower-than-Expected AI Adoption in the Industry

Rania Succar, the new CEO of Kaseya, highlights significant challenges hindering the adoption of generative AI in enterprises and small businesses. Despite her optimism about AI’s potential to enhance productivity, she notes that integration issues, particularly fragmented data, are major obstacles. Current AI tools lack efficacy as they cannot access unified information from various systems (CRM, inventory, financials), leading to subpar performance. Gartner forecasts that many generative AI projects may fail by 2025 due to poor data quality and unclear ROI. Change management is another hurdle as employees struggle to find time for new technologies amidst busy schedules. Kaseya aims to bridge these gaps by improving data connectivity and streamlined software solutions, as well as providing training for managed service providers (MSPs). Succar emphasizes the need for strategic investment in AI adoption and change management to enhance efficiency in SMBs, aiming to bolster Kaseya’s AI roadmap.

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