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Gartner predicts 30% of gen-AI projects will be abandoned after proof of concept by the end of 2025 due to challenges such as poor data quality and cost. Additionally, the AI Incidents Database reported a record high of 233 AI-related incidents in 2024, a 56.4% increase over 2023. So, how does your project avoid becoming one of those statistics? • Avoid the pitfalls of overly ambitious projects by focusing on specific, high impact use cases. • Ensuring transparency and accountability in AI systems is more crucial than ever. By integrating these principles, we can navigate the AI landscape effectively, achieving sustainable and impactful advancements. #AI #Version1 #Innovation #EthicalAI #TechTrends

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Jaiprakash Chandraker

Data Analyst @ MyGov India | Data Analysis | SQL | Power BI | Business Analysis | Agile Management.

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This is a thought-provoking article on the evolving role of AI in business transformation! It's impressive to see how Version 1 is applying AI to achieve tangible outcomes for your clients.

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