Data Governance
Artificial Intelligence (AI) technology has often been scrutinized for its errors, with a common belief that these failures need rectification. However, an emerging perspective suggests that these mistakes, if embraced, could lead to new insights. This market analysis explores the value of AI errors, offering a fresh narrative on their potential
Selling or recycling old electronics has become increasingly common, but many people may not realize that simply deleting files or performing a factory reset is not enough to ensure data security. Sensitive information like passwords, documents, and bank details can still be retrieved with specialized tools. Statistics indicate that 90% of
The Trump administration's actions have had far-reaching consequences across various domains, including immigration, the conflicts in Ukraine and Palestine, border control, taxes, and tariffs. While data protection has largely remained unaffected until now, recent developments suggest that data privacy may soon be impacted. This raises concerns
In an era where data breaches and cyber threats are on the rise, insurance companies are under immense pressure to safeguard sensitive client information. The threat landscape demands that insurers adopt the most stringent security protocols to protect the vast amounts of personal and financial data they handle. Achieving SOC 2 Type II
The journey of AI from an experimental phase to its current widespread use in enterprises brings an urgent need for robust governance frameworks. As AI continues to integrate into business operations, the risks—both reputational and financial—intensify, making the establishment of effective governance vital. Learning from the governance approaches