The country where an artificial intelligence (AI) model is developed provides limited insight into its actual risk profile, according to analysis highlighting the need for stronger AI governance, transparency and model evaluation frameworks. As organisations increasingly adopt AI systems, assessing Read More …
Tag: data governance
AI Model Risk Cannot Be Judged Only by Country of Origin
India’s Digital Success Story Needs Stronger Risk Infrastructure
India’s digital transformation has created one of the world’s largest technology-driven financial ecosystems, but sustaining this progress requires a stronger risk management infrastructure to address emerging challenges related to cybersecurity, data protection, operational resilience and technology governance. The rapid expansion Read More …
Data Becomes a Strategic Competitive Advantage
The banking industry is entering a new phase where data is emerging as one of the most valuable strategic assets. As artificial intelligence (AI) adoption expands across financial services, banks that can effectively collect, manage and analyse data will gain Read More …
Banking Industry in AI Era: Data Becomes a Strategic Competitive Advantage
The banking industry is entering a new phase of digital transformation where data is becoming one of the most important competitive assets. As banks increasingly adopt artificial intelligence (AI), the ability to collect, manage, analyse and use data effectively is Read More …
FinRegE Urges Banks to Fix Data Quality Before Investing Further in RegTech
Financial institutions should prioritise improving data quality and data governance before investing heavily in additional regulatory technology (RegTech) solutions, according to industry experts. The recommendation highlights a growing challenge in financial services: advanced compliance technologies can only deliver effective outcomes Read More …
Malaysia Issues Three New Data Protection Risk Management Guides
Malaysia’s Personal Data Protection Commissioner (PDPC) has issued three new guidelines aimed at strengthening how organisations identify, assess and manage risks arising from the processing of personal data. The guidance covers Data Protection Impact Assessments (DPIA), Data Protection by Design Read More …
Responsibly Governed Market Data Can Improve Policy Making, Says SEBI Chief
SEBI Chairman Tuhin Kanta Pandey has emphasized the importance of responsibly governed and shared market data in strengthening policy formulation and market development. Speaking at an industry event, he noted that high-quality, accessible, and well-regulated data can significantly improve regulatory Read More …
Risk Management Gaps Continue to Expose Mortgage Lenders
Mortgage lenders are facing increasing exposure to operational, credit, and compliance risks due to persistent gaps in their risk management frameworks. The article highlights that despite advancements in technology and regulatory oversight, many institutions continue to struggle with integrating risk Read More …
HDI Global calls for balanced use of AI and human judgment in risk management
HDI Global Insurance has underscored the need for a balanced approach to risk management that combines advanced analytics and artificial intelligence with strong human oversight, as insurers confront increasingly complex and interconnected risk environments. The insurer noted that traditional risk Read More …
Third-party AI models emerge as a growing blind spot in enterprise risk management
A new legal analysis warns that organisations may be significantly underestimating the risks arising from third-party artificial intelligence tools embedded across their operations. According to JD Supra, businesses are rapidly adopting external AI models for customer service, analytics, fraud detection, Read More …