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 »
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 »
Introduction In the digital transformation era, data has evolved from a passive byproduct of business activities to a dynamic, strategic asset. This comprehensive exploration, part of the “Demystifying Enterprise AI Strategy” series, delves into the multifaceted concept of ‘Data as a Business & Data as a Product,’ examining its role as a transformative force in
Data as a Business: The Core of Modern Business Innovation Read More »
I would like to highlight the critical role that high-quality data plays in the success of Machine Learning (ML) initiatives. The key to unlocking the full potential of ML applications lies in establishing a continuous cycle of data improvement and model enhancement. High-quality, consistent data is the foundation for building robust ML models that generate
Maximizing business value through effective Machine Learning data strategies Read More »
