Machine learning at the edge is becoming an integral part of modern applications. From the web to mobile to IoT, machine learning is powering a new breed of applications through natural user experiences and inbuilt intelligence, all in devices themselves that can make decisions and take actions right on the spot.
Unfortunately, today’s virtual machines and containers are too heavy of an option to be deployed at the edge. As a result, developers are moving towards a serverless compute model which uses code snippets as a unit of execution. This enables machine learning models to be packaged as functions so they can run at the edge.
The convergence of machine learning, edge computing, and serverless will become the backbone of digital transformation in industry verticals such as manufacturing, automobile, healthcare, finance, and insurance in the very near future. And TIBCO is here to help.
TIBCO has built solutions that enable developers to bring the power of machine learning and serverless computing to the edge. We now have edge computing and serverless computing platforms integrated with machine learning frameworks. Our products, like TIBCO Flogo® Enterprise and Project Mashling™, make it easy to develop and deploy intelligent applications packaged as microservices running at the edge.
To learn more about these trends, please download the analyst white paper: “How Edge Computing, Serverless, and Machine Learning Will Transform the Enterprise” today.