Data Governance
The McGill-led Human Cell Atlas’s Data Governance Resource (DGR) project recently received a substantial funding boost of $558,424 USD from the Leona M. and Harry B. Helmsley Charitable Trust, signaling a major step towards better global data governance. The financial support aims to foster the development of essential tools and analyze emerging
Why Must Financial Institutions Act Now to Comply with DORA? The digital transformation of the financial sector is not only inevitable but well underway. As institutions adapt to evolving technologies, ensuring operational resilience is now front and center. The Digital Operational Resilience Act (DORA), which takes effect from January 17,
The IBM AWS GenAI Hackathon brought together eight client teams alongside representatives from IBM and AWS. This collaboration aimed to develop generative AI prototypes to tackle a variety of real-world business challenges across several industries, including public sector, financial services, energy, healthcare, and more. The initiative spanned
The proliferation and increasing complexity of regulatory requirements have ushered in a significant surge in compliance costs for businesses, particularly those in highly regulated sectors such as finance and healthcare. Navigating these regulations traditionally requires significant investments in human resources, compliance expertise, and
Organizations today, despite appearing as independent entities, inherently depend on various other businesses to maintain operations. This mutual reliance is particularly prominent in the software supply chain, where applications and operating systems depend on shared components to enhance functionality. However, the very efficiency and
Navigating the implementation of post-model adjustments (PMAs) under the International Financial Reporting Standard (IFRS) 9 is a sophisticated challenge for financial institutions, particularly in today's unpredictable economic landscape. PMAs have risen in importance as financial entities strive to compensate for the limitations inherent in