Systems | Development | Analytics | API | Testing

AI in Banking: 5 Impacts Artificial Intelligence Will Have on the Industry by 2025

The potential impact of AI in banking appears boundless. A 2023 McKinsey report found that effectively incorporating generative AI tools into business operations could lead to annual operational savings ranging from $200 billion to $340 billion for the global financial services industry. These cutting-edge technologies can also enhance customer satisfaction, attract more potential customers, and improve employee experience.

Why a Solid Data Foundation Is the Key to Successful Gen AI

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

Top 4 Programming Languages for IoT Development

IoT startups serve various purposes such as increased performance, security, comfort, and entertainment. However, implementing IoT projects requires a mix of skills, knowledge, and technologies, including hardware, software, cloud computing, networking, and analytics. Of course, a key element of anу IoT solution is to pick an appropriate programming language that ensures the interaction between IoT devices and apps, processing, data storage, task execution, and user interaction.

4 Key Types of Event-Driven Architecture

Adam Bellemare compares four main types of Event-Driven Architecture (EDA): Application Internal, Ephemeral Messaging, Queues, and Publish/Subscribe. Event-Driven Architectures have a long and storied history, and for good reason. They offer a powerful way to build scalable and decoupled architectures. But thanks to its long history, people often have different ideas of what EDA means depending on when they first encountered this architecture.

Watch now: Generative AI automatically heals tests in Rainforest

We consistently hear from engineering leaders that automated test maintenance is a painful, mindless exercise that takes too much time away shipping code — the main goal of any startup software team. Our vision is to deliver end-to-end test automation that requires no maintenance from your team. With that in mind, we’ve designed Rainforest as an intuitive, no-code platform that anyone can quickly use with no training. This has been an important — but insufficient! — step.