Trust

PluralSight – Zero Trust Architecture Executive Briefing Bookware-KNiSO
English | Size: 76.05 MB
Category: Tutorial

This course will teach you the basic understanding and applicability of zero trust.
Global networks and the proliferation of data leaves valuable digital resources open to a multitude of threats when they utilize traditional protection architectures and tools. In this course, Zero Trust Architecture: Executive Briefing, you’ll learn to develop a strategy for zero trust implementation. First, you’ll explore what is zero trust and why is it needed. Next, you’ll discover how to implement a zero-trust architecture. Finally, you’ll learn how to make the business case for zero trust implementation. When you’re finished with this course, you’ll have the skills and knowledge of Zero Trust Architecture needed to develop a strategy for zero trust implementation.

Pluralsight – Research Vs Reality In Ai Would You Trust Your Model With Your Life-NOLEDGE
English | Size: 97.86 MB
Category: Tutorial

Big Data LDN 2019 | Research vs. Reality in AI: Would You Trust Your Model with Your Life? | Heather Gorr
There are many considerations before deploying deep learning models into the real world, especially in safety-critical environments like automated driving, smart medical devices, aerospace, and biomedical applications. A deep learning researcher can achieve 99% accuracy on a deep learning model, but what about the edge cases? What if those edge cases represent someone’s life? Is AI ready to move from research to reality? Model accuracy is only one part of a production-ready system, which also includes: model justification and documentation, rigorous testing, use of specialized hardware (GPUs, FPGAs, cloud resources, etc.), and collaboration between multiple people with various expertise related to the project and system. In this session, Heather Gorr will discuss the importance of explainable models, system design, and testing before an AI system is production-ready.