Hardware Accelerators for ML Inference

Hardware Accelerators for ML Inference

There are many different types of hardware that can accelerate ML computations – CPUs, GPUs, TPUs, FPGAs, ASICs, and more. Learn more about the different types, when to use them, and how they can be used to speed up ML inference and the performance of ML...
Lead with DevSecOps to Lower Risk and Raise Value

Lead with DevSecOps to Lower Risk and Raise Value

Developing and deploying AI-powered systems and applications is a complex business, especially in our extended remote reality. You’re likely facing an uphill climb and let’s face it, huge risks. The way to clear the obstacles, lower the risks, and raise the value you...
Designing APIs for AI

Designing APIs for AI

It’s estimated that anywhere from 50-90% of AI models developed never make it past the AI “valley of death” that exists between the lab and production deployment. This tech talk covers how an API-based approach to building and maintaining AI-enabled applications can...
Data Drift Detection

Data Drift Detection

Data drift occurs when a model sees production data that differs from its training data. If a model is asked to make a prediction based upon drifted data, the model is unlikely to achieve its reported performance. This phenomenon happens because during training, a...