Prakhya Gaddipati

How Amazon Sagemaker makes Machine Learning Easy

By Michael Feder | Feb 23, 2021 | Future Technologies

Machine Learning is one of the most exciting technological developments in recent years. At its simplest, ML allows users to build and “train” applications with ...

How to Implement AWS Copilot

By Santosh Peddada | Jan 6, 2021 | Amazon Web Services

As we wrote about in our previous blog, packaging services with their dependencies not only speeds up your CI/CD pipeline, but also cuts costs and ...

How AWS Copilot makes containerized services even easier

By george | Dec 1, 2020 | DevOps Methodology

Containerized services combine the power of a fully optimized, well-architected data infrastructure with the flexibility to fix and update individual services. By packaging each service ...

How Amazon Comprehend uses machine learning to communicate with users

By Michael Feder | Nov 18, 2020 | Amazon Web Services

As artificial intelligence and machine learning technologies grow more and more advanced, businesses have more and more tools at their disposal to analyze large amounts ...

How Can Amazon MQ Transform The Way Your Programs Communicate?

By Michael Feder | Oct 19, 2020 | Amazon Web Services

Businesses operating in the contemporary digital marketplace often manage large amounts of data every day, and manage a large network infrastructure to process it. This ...

Why Amazon Pinpoint is the Future of Digital Marketing

By Michael Feder | Oct 2, 2020 | DevOps Methodology

Keeping in constant contact with customers is crucial in the digital world of business. Amazon Pinpoint helps businesses do exactly that, through email, SMS and ...

Prakhya Gaddipati