The New AI Dilemma: Trade-offs Between Commercial and Open-Source GenAI
Discover how to balance practicality, security, and regulatory compliance in your AI integration journey.
Discover how to balance practicality, security, and regulatory compliance in your AI integration journey.
From the most up-to-date tech and cybersecurity news to interviews with top female technology leaders,
Thought leaders weigh in on the biggest data privacy concerns related to AI.
For years, US lawmakers have avoided making tough calls about what data privacy protections we should give consumers and how they should be enforced. That finally may be changing. Last week, the US House Energy and Commerce Committee greenlit a watershed privacy bill that strikes compromises on a series…
The world has been dealing with the COVID-19 pandemic for two years now, and its effects have impacted us widely. Economics, health, relationships—almost every aspect of our lives has changed. We have seen lockdowns, business closures, hospitalizations and deaths, mask mandates, work-from-home, and—most anticipated, at least for most people—the stunningly rapid development of the vaccines that have provided some relief.
The answer is really simple, right? Governments pass laws that mandate certain rules be followed and infuse a punitive measure for those people or organizations not in compliance with the regulation in question.
Three years ago, I started as a PreSales consultant covering the topics of Data Analysis and Data Management. These topics were directly connected to the topic of Data Privacy and all the regulations around it, so it was naturally part of my conversations.