Best Practices for AI Adoption Across Sectors
The AI landscape is undergoing a transformative shift, moving from pure technological advancements to practical, value-driven applications. While Large Language Models (LLMs) continue to advance, smaller, open-source models are gaining traction for their cost-effectiveness and real-world utility.
The new era of AI prioritizes reasoning and intelligence over sheer speed and scale. Simultaneously, a hardware revolution is underway, with inference chips challenging the dominance of traditional GPUs.
This paper explores the Emerging Trends, Strategies, and Opportunities that will shape the future of AI in 2025 and beyond.
The White paper aims to provide an answer to:
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What are the Key challenges businesses face when implementing AI?
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How is Generative AI changing the way we conceptualize and analyze data?
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How do smaller, open-source AI models compare to larger, proprietary ones in terms of performance and cost-effectiveness?
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How can businesses leverage Agentic AI for everyday operations, such as customer service and coding assistance?
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What role does ethical AI play in ensuring fairness and accountability within AI systems?
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