Systems | Development | Analytics | API | Testing

Examples of AI in Software Development

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

Rails ActionCable - the good and the bad

ActionCable allows developers to move away from the typical request/response paradigm of old to one where persistent WebSocket connections are maintained from clients to your Rails servers. Event-driven and low-latency, WebSockets are an excellent choice for use cases like live chat, alerts & notifications, and realtime data broadcast.

Top 10 iOS Libraries of 2023: Stay Ahead of the Game

This is the most fertile time for app development since the launch of the App Store 15 years ago. Our industry is in the grip of several simultaneous revolutions, each of them bending, flexing and moulding to the others. 5G promises to make our apps 10 times faster; wearable technology lets them wrap themselves around our bodies; artificial intelligence enables them to learn from us and get smarter every day. But this torrent of innovation brings challenges, too.

3 Things to Look for in an Automated Underwriting System

The underwriting process is notoriously inefficient. Today, underwriters typically spend 40% of their time on non-core activities such as gathering and entering data for submissions and renewals, issuing policies, and administrative tasks. The result of such manual underwriting is lost productivity and higher costs, with an expected price tag for insurers of $85–$160 billion in lost business over the next five years. In the current economic climate, efficiency is more important than ever.

Nodesource introduces Machine learning on its N|Solid platform to help make better Node Apps

N|Solid is an incredibly versatile platform for helping developers and devops engineers build and manage highly performant and secure Node.js web applications. With the advancement of machine learning you can unlock even more potential. Our M/L solution is a powerful tool that can increase the quality of user experience and boost efficiency for organizations with their Node.js applications.

A Guide to API Integration

Modern business runs on software. This involves storing business data, and moving that data from place to place. In the old days, software stored the data in a siloed fashion. This meant it was only available in one place, cutoff from the rest of the world. Companies struggled to pull data from different locations. Combining it in meaningful ways was difficult. This isolated data only provided a fraction of its potential value. In modern applications, the data wants to be free.

Building a REST API with AWS Gateway and NodeJS

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API. REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters.

Building a REST API with AWS Gateway and Python

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API. REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters.