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Delve into the hardware demands of the Kimi K3 model and its implications for AI investment.

Only 23% of engineering hours inside enterprise AI initiatives actually go toward building products. The rest gets consumed by data infrastructure problems that should have been solved before the first use case was built. Here’s the full picture – and the way out.

Modern enterprises are shifting from viewing AI as isolated projects to treating it as a foundational platform, essential for integrated workflows, innovation, and continuous improvement across all operations.

An AI strategy for CEOs acts as a blueprint for guiding sustainable growth and infrastructure development within organizations. It connects ambition to execution, ensuring successful integration, adaptability, and alignment with market demands and ethical standards.

Sovereign AI refers to national policies and infrastructures that enable countries, like India, to store and utilize AI data domestically, protecting against foreign risks. It promotes self-reliance, innovation, and security across key sectors such as healthcare, agriculture, education, and governance, while fostering economic growth.

Open-source AI is driving innovation, adaptability, and trust with transparency and community power. Enterprise AI offers scale and reliability. Together, platforms like Neysa combine both worlds—empowering organisations to innovate, stay compliant, and scale without lock-in.