AUTHOR
Sindhiya Selvaraj
With over a decade of experience, Sindhiya Selvaraj is the Chief Architect at Fusefy, leading the design of secure, scalable AI systems grounded in governance, ethics, and regulatory compliance.
Similar Vibes
Fusefy empowers enterprises to break through top-down FOMO and bottom-up resistance, enabling strategic, people-centered AI adoption.
Explore the evolving balance between human-in-the-loop systems and fully autonomous AI, and how platforms like Fusefy.ai bridge the gap
Microsoft and Google are embracing Agentic AI. Learn how Fusefy helps you build intelligent agents at scale.
Narayana Murthy critiques India’s AI hype, calling many so-called AI tools just “silly old programs” disguised as innovation.
Reinforcement Fine-Tuning uses rewards to shape AI behavior, while Supervised Fine-Tuning relies on labeled data
The path to AI adoption starts with data modernization—transforming legacy data into a scalable, intelligent foundation for innovation.
Empowering users with accessible, advanced Open-Source Intelligence through Deepseek’s cutting-edge OSINT platform.
Understand the EU AI Act's key implications, timelines, and prohibited AI practices. Stay compliant and informed with our expert insights.
Trump's latest AI announcements with the Stargate Project, a transformative era in artificial intelligence, innovation, and technology.
Top Vibes
Fusefy empowers enterprises to break through top-down FOMO and bottom-up resistance, enabling strategic, people-centered AI adoption.
Explore the evolving balance between human-in-the-loop systems and fully autonomous AI, and how platforms like Fusefy.ai bridge the gap
Microsoft and Google are embracing Agentic AI. Learn how Fusefy helps you build intelligent agents at scale.
Understand the EU AI Act's key implications, timelines, and prohibited AI practices. Stay compliant and informed with our expert insights.
Security-first strategies for AI-first deployments ensure robust protection, compliance, and resilience from the start.
RAG Builder streamlines setup and testing to optimize retrieval-augmented generation pipelines for faster, more efficient performance.
Narayana Murthy critiques India’s AI hype, calling many so-called AI tools just “silly old programs” disguised as innovation.
Reinforcement Fine-Tuning uses rewards to shape AI behavior, while Supervised Fine-Tuning relies on labeled data
The path to AI adoption starts with data modernization—transforming legacy data into a scalable, intelligent foundation for innovation.