Synthetic data is one approach to data-driven technologies, like ML and AI, that can help solve current problems and enable more innovation. Learn more here.
Model drift is the term for an AI or ML model’s tendency to lose its predictive ability over time. The model has drifted away from its original goal or purpose.
Stateful and stateless are important terms in programming. “Stateful” means information about the state is tracked. In contrast, “stateless” tracks no information.
Learn about diffusion models, a groundbreaking AI development that generates high-quality images, videos, and text. Explore their applications, how they work, and future potential.
Get the lowdown on shift left security: build security earlier into the software development process (aka to the left) to improve overall application security.
Explore the growing impact of dark data on businesses, its potential for AI, operational efficiency, and risk management, and strategies for unlocking its value.
The Pareto Principle, or 80/20 rule, explains how a small number of causes often drive most outcomes. Learn how it applies to business, economics, and more.
Learn about the mean time to acknowledge (MTTA) metric in IT and networking incidents, including how to improve this time along with other reliability metrics.
Learn how security intelligence uses real-time data, AI, and machine learning to anticipate, detect, and respond to evolving cybersecurity threats effectively.
Learn about Service Level Objectives (SLOs), their role in defining service performance, key metrics, and how they ensure reliability, quality, and cost-efficiency.