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How machine learning is shaping the next generation of cloud security

#artificialintelligence

Most cybersecurity products on the market today operate statically, meaning that instead of adapting in real time to evolving user behavior, they look for a fixed set of pre-defined threats. Oftentimes these solutions are limited in their ability to control access and make a simple "allow or block" decision. They also struggle to protect data on unmanaged endpoints and traffic flowing beyond a limited set of managed corporate applications.


Adding Machine Learning to your applications

#artificialintelligence

Google provides infrastructure, services, and APIs for you to create your own machine learning models. They also have pretrained machine learning APIs that you can use in your applications today. To use these pretrained models, you don't need massive amounts of data and specialized skills, you just need a few lines of code.


AI on the Edge

#artificialintelligence

The next evolution in cloud computing is a smarter application not in the cloud. As the cloud has continued to evolve, the applications that utilize it have had more and more capabilities of the cloud. This presentation will show how to push logic and machine learning from the cloud to an edge application. Afterward, creating edge applications which utilize the intelligence of the cloud should become effortless.


The Cloud is the Future of Software Delivery - ReadWrite

#artificialintelligence

On-premises software installation is taking its final breath. In just a short time, the cloud will completely dominate the software delivery market. Why are cloud computing delivery models so definitively poised for domination? They are simply more effective -- for the software provider and the customer -- than any other delivery method available. The benefits and applications are boundless, and more and more companies are leaning in and pushing their competitors to do the same.


Why Companies Are Adopting Serverless Cloud Technology

Forbes - Tech

Digital transformation involves building, testing and iterating on applications faster than your competitors -- specifically to meet the personalized, always-available, digital customer experience that people expect from the companies with whom they do business. Serverless technologies are another way to help developers focus on writing code without having to worry about infrastructure -- and companies are able to pay for actual amounts of resources consumed by applications, rather than pre-purchased capacity. Of course, serverless computing uses servers (physical and virtual), but these are meant to be completely abstracted away from the user. This means developers spend more time focused on solving business problems (e.g., faster app deployment) -- which means happier customers and more market differentiation.