In an age where technology rapidly advances, the integration of Artificial Intelligence (AI) has emerged as a pivotal factor for business success. Yet, the challenge lies in deploying generative AI technologies without compromising on data security and enterprise integrity. Technology leader and proponent of ethical AI use, Rohit Anabheri, delineates the roadmap to adopting generative
Introduction The advent of generative artificial intelligence (AI) marks a pivotal moment in technology, bestowing upon machines the capability to discern and replicate intricate data patterns. Its influence spans a multitude of sectors, from creative endeavors to bespoke healthcare solutions. As we venture into this new era, it’s critical to examine the technical prowess, ethical
Throughout my journey, I’ve honed a distinct method for maintaining constant awareness of my priorities, effectively focusing on what matters most, and gracefully declining everything else. I’ve dubbed this method the “What? So What? Now What?” approach. This approach becomes my north star on a daily basis, guiding me through new opportunities and complex challenges
Frequently, I’m aware of the tasks I’m likely to postpone before I even begin. To counter this inclination, I adopt a proactive approach by making a ‘pre-commitment’ the moment I sense hesitation. This significantly enhances my likelihood of completing the task. Let me explain my method: Embrace Public Accountability: My first step involves seeking external
In my strategy, which I’ve dubbed the NORMS method, the aim is to maintain objectivity in feedback, steering clear of personal biases. Here’s the essence of the approach: Applying this methodology transforms subjective statements like ‘John is always late’ into objective, fact-based observations such as ‘John arrived late to the leadership meeting three times last
