In this part of the AI series, we will cover the topic of adversarial machine learning and attempt to create a taxonomy of AI attacks. We will also discuss mitigation strategies in Part #4. Q1. What is Adversarial Machine Learning? Adversarial machine learning is a technique employed by threat actors to manipulate machine learning models. […]
A Taxonomy of AI Attacks Read More »
The UK AI Safety Summit, along with G7 and US actions, signalled progress in AI last week. Over 100 attendees from various sectors met at Bletchley Park for the world’s first international AI Safety Summit, exploring the future of AI. Several big tech companies and nations signed a ‘landmark’ voluntary agreement to allow governments, including
Global AI Regulations Read More »
In the ever-evolving landscape of the AI age, decision making has transformed significantly. With the advent of advanced technologies and vast amounts of data, organizations are equipped with unprecedented tools to make more informed, precise, and strategic decisions. As we delve into the nuances of decision making in this era, it’s essential to understand the
Decision Making in the Digital Age: Navigating Complexity with Data and AI Read More »
Introduction In today’s digital epoch, data reigns as the undisputed currency of business. This transformation has not merely shifted strategies but revolutionized the very essence of decision-making. In the continuation of our “Demystifying Enterprise AI Strategy” series, we unravel how a robust data strategy aligns with overarching business goals to harness data’s true potential for
Developing a Robust Data Strategy: Navigating the Digital Era Read More »
