A blog about Product Management, Data Management and Self-Driven Learning
In Generative AI, the concept of "Acquire" extends beyond training data to include fine-tuning, retrieval contexts, and prompts. Effective governance is crucial to prevent issues like IP leakage and bias. A structured approach involves defining data usage policies, curating knowledge sources, and treating prompts as governed assets, ensuring safety and compliance in AI initiatives.
Reflecting on the decline of my personal blog during the pandemic, driven by changes in search rankings and competition made me realise that there is more to the system than meets the eye. Inspired by a podcast featuring Cory Doctorow's concept of "enshittification," I now am determined to empower others to regain control over their online experiences and focus. Future posts will explore strategies for online protection.
Free apps often seem costless, but they exploit personal data as their main revenue source. Users unknowingly grant access to sensitive information, which can be sold or used for targeted advertising. To safeguard privacy, it's crucial to review app permissions, read privacy policies, and choose privacy-focused alternatives.
Public Wi-Fi is convenient but poses significant security risks, including Man-in-the-Middle attacks, fake hotspots, and unencrypted networks. To enhance safety, users should employ VPNs, avoid sensitive activities, verify network legitimacy, and enable two-factor authentication. Staying informed and adopting security measures can help protect personal data while using public Wi-Fi.
Smart devices enhance daily convenience but raise significant privacy concerns. They often collect extensive data through microphones and cameras, leading to risks like eavesdropping and hacking. Users should review privacy settings, secure devices, and understand manufacturers' data practices. Legislation like GDPR and CCPA aims to improve data control and transparency.
Nigel D'Souza 