Generative AI’s (gen AI) capabilities seemed startlingly novel a year ago, when ChatGPT’s release led to an explosion of public usage and, simultaneously, intense debate about its potential societal and business impacts. That period of initial amazement and suspicion has given way to business urgency, as companies scramble to adopt gen AI in ways that leverage its potential for maximizing workforce productivity and profitability.

Microsoft Excel, a cornerstone in the realm of data management, is extensively utilized across various industries for its robust capabilities in data analysis, storage, and intricate calculation functionalities. However, when it comes to importing Excel files into other Software as a Service (SaaS) applications, users often encounter a range of import errors that can hinder productivity and data accuracy.

With the increasing importance of real-time data in modern businesses, companies are leveraging distributed streaming platforms to process and analyze data streams in real time. Many companies are also transitioning to the cloud, which is often a gradual process that takes several years and involves incremental stages. During this transition, many companies adopt hybrid cloud architectures, either temporarily or permanently.

You might have heard the rumors circulating in the tech world—PHP, the venerable programming language, isn’t as secure as its modern counterparts. With roots tracing back nearly three decades, PHP soared to popularity during the early days of the web, when security practices were still finding their footing.

Dive into the essentials of DevOps and Mobile DevOps. This blog post covers the DevOps core principles, the differences between DevOps and Mobile DevOps, and the integration of security and engineering practices, alongside answers to common DevOps questions and a glossary of terms.

Why does API architecture matter, and how can you excel at it? It’s an important question to ask as you are trying to improve existing APIs or write new ones. In this article, we will create a high-level roadmap to understanding the foundations of API architecture, from API Gateways and data management to architectural styles like RESTful and GraphQL. We will look at best practices to enhance scalability and security and look closer at tools that support robust API development.

API testing is a critical part of the software development lifecycle. If you’re not performance testing your APIs, you’re putting your entire system at risk. API testing is the process of verifying and validating the functionality, reliability, performance, and security of an API to ensure it meets its requirements and behaves as expected. This guide will discuss the importance of testing and how to test APIs.

From personal AI to the data that’ll train it, browse our bets on how AI develops in 2024 and beyond.