Category: News

AI Evolution: From Tools to Integrated Systems

AI is evolving from isolated tools to integrated systems across departments, emphasizing data readiness, governance, and effective performance measurement. The focus has shifted from whether to implement AI to addressing the challenges of embedding AI in real workflows.

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Encrypted AI Inference Service Elevates Data Privacy in India

Mirror Security Limited and Yotta Data Services have partnered to launch Secure Encrypted AI Inference as a Service on Yotta’s Shakti Cloud, enabling businesses in regulated sectors to run AI workloads on sensitive data while maintaining encryption throughout. This collaboration marks a significant advancement in privacy-preserving AI technologies in India.

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Operationalizing AI in eTMF Compliance with the EU AI Act

This second part of the series focuses on practical requirements for compliance with the EU AI Act when using AI in GCP-critical electronic Trial Master File (eTMF) systems, including governance framework, risk management, and transparency measures to ensure regulatory compliance.

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AI Governance Amid Democratic Erosion in India

As India prepares to host the AI Impact Summit 2026, a policy report highlights the alarming use of AI to perpetuate hate and discrimination against marginalized communities amid democratic backsliding. The report calls for rights-respecting regulations and emphasizes the need for transparency and accountability in AI governance to protect vulnerable groups.

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AI Governance Bill Introduces Accountability and Risk Management for Developers

The AI Governance Bill mandates that AI developers and users manage legal and ethical risks, particularly regarding copyright violations from unauthorized training data. Deputy Digital Minister Datuk Wilson Ugak Kumbong highlighted that the legislation provides a governance framework to ensure responsible, transparent, and legally compliant AI development while maintaining existing copyright laws.

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Achieving Effective AI Governance in a Rapidly Evolving Landscape

Many organizations acknowledge the need for AI governance, but only a few have developed mature models. According to a Cisco survey, just 12% describe their AI governance efforts as mature. The rapid AI adoption pace complicates governance as IT leaders must balance compliance, transparency, and ethics alongside technology deployment.

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