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A recent study, The IDC Data and AI Pulse: Asia Pacific 2024, commissioned by SAS, indicates that only 18% of Indian businesses are recognized as AI Leaders, revealing a significant gap in AI strategy. While many organizations are adopting AI, 15% remain in the evaluation phase, and 44% focus on short-term applications. The study highlights that AI Leaders prioritize expanding market share, improving productivity, and cost savings, contrasting with AI Followers who lack a defined strategy.
Despite the enthusiasm for AI's potential, Indian companies face challenges such as high development costs and difficulties in realizing ROI. The study emphasizes the need for better data governance and infrastructure investments to enhance AI performance. Additionally, it points out that 35% of executives are implementing explainable AI techniques to ensure transparency and accountability in their AI initiatives.
• Only 18% of Indian businesses are identified as AI Leaders.
• 37% of executives cite high costs as a barrier to AI implementation.
• 35% of AI platforms are designed with explainable AI techniques.
AI Leaders are organizations that effectively implement AI strategies for long-term transformation.
Data governance refers to the management of data availability, usability, integrity, and security in AI applications.
Explainable AI techniques ensure transparency and accountability in AI decision-making processes.
SAS is a global leader in data and AI, providing software solutions that help organizations transform data into trusted decisions.
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