AI/ML

Understanding the AI Ecosystem: How to Secure AI-Powered Applications in 2024
As AI-powered applications become more central to business operations, understanding the ecosystem behind them is essential for securing these systems. In this educational webinar, we will explore the components that form the ...

AI as Your Cybersecurity Co-Pilot: Outsmarting Real-World Threats in the Cloud
The digital landscape is rapidly evolving, with businesses increasingly relying on cloud and cloud-native technologies. This migration, while beneficial, expands the attack surface and introduces new security challenges that traditional approaches fail ...

A New Era for DevOps: Using AI to Revolutionize the Software Development Lifecycle
There is no doubt that AI is transforming the software engineering industry. Gartner predicts that 75% of enterprise software engineers will use AI code assistants by 2028. But what about the rest ...

AWS DeepRacer: Get Hands-on with AI
This workshop will familiarize you with AWS DeepRacer in the AWS console, explain the concepts needed and to get you started training a time-trial model, explain how you can take part in ...

Using AI to Improve Operational Efficiency
The sheer volume and complexity of data available for businesses to observe, store and use is overwhelming. Knowing how to apply AI in practical ways to respond promptly to operational challenges is ...

Logging’s Not Dead: Long Live Logging!
If you’re like most companies, you have Cloud Providers, on-premises environments, serverless functions, containerized deployments, and a whole host of integrations between those and more. The operational complexity and increased attack vectors ...

Mainframe Modernization and Generative AI: Are We There Yet?
The venerable mainframe still powers many critical digital services, including retail, finance, travel and government systems. But many organizations are starting a journey to modernize mainframe applications by migrating to the cloud ...

Scaling Kubernetes With AI and Machine Learning
Applying AIOps models and moving toward autonomous infrastructure can reduce Kubernetes complexity and improve scale for microservices applications ...