This fall, thousands of leaders in the financial services industry gathered at the annual Money 20/20 conference to talk trends in payments, compliance, fraud reduction, treasury and transactions and more. Conversations centered on the theme of “Human x Machine,” and while AI was a focus, there were plenty of other insights around real-time data analytics, security considerations and customer strategies that are guiding the future of money.

When handling images in your Laravel applications, you may sometimes be required to edit them. This could include resizing, cropping, or converting images to meet a given criteria. For example, you may want to crop and resize all user avatar image uploads to a fixed-sized square. In this article, we'll examine how to use the Intervention Image (intervention/image) package in Laravel to edit images.

What is legacy code? Legacy code is source code that already exists and needs to be used again. It's not necessarily lousy code, but it often needs some effort to integrate into newer systems. That means you need effective ways of overcoming legacy code's issues. What are your chances of working with legacy code? Given that most of the top 10 programming languages on the TIOBE popularity index have been around for at least 20 years, your chances are very high.

The wealth management industry is on the cusp of transformative change as we approach 2025. The sector, long considered a bastion of stability, now faces a confluence of forces reshaping its foundations. From generational wealth transfer to the integration of cutting-edge technologies like AI and blockchain, firms must evolve rapidly to meet the expectations of a new generation of investors.

Traditional testing approaches can struggle to keep up with the dynamic nature of modern development cycles. While effective in certain contexts, these methods may miss some defects, which can lead to costly fixes, customer dissatisfaction, and damage to the product's reputation. The problem lies in the limitations of scripted testing, which might lack the flexibility required to identify novel defects.

Do you have an open API specification that needs to be transformed into a functional mock server? With Choreo’s latest release, you can now use Prism Mock service components to mock your open API specifications. This is powered by Prism, an open source technology, allowing you to tap into Choreo’s robust functionalities, including API management, observability, DevOps, and more.

Consumption-based pricing has become a popular model for SaaS and PaaS businesses, allowing customers to pay only for what they use. Pioneers like Slack and AWS have successfully adopted this approach, offering flexibility and reducing waste. However, not all consumption-based models are created equal. The Monthly Active Users (MAU) model, while appealing in its simplicity, often leads to inefficiencies and unexpected costs.

In today’s data-driven world, a powerful ETL (Extract, Transform, Load) process is essential for effective data management. For data analysts, Snowflake has emerged as a popular cloud data platform, offering powerful data storage, processing, and analytics capabilities. Integrating ETL processes with Snowflake allows analysts to streamline workflows and focus on delivering valuable insights rather than wrestling with data logistics.

In the world of data analysis, handling vast quantities of information across diverse data sources efficiently and securely is crucial. Snowflake, a cloud-based data platform, has revolutionized how analysts manage and derive insights from data. Paired with Integrate.io's ETL (Extract, Transform, Load) capabilities, the process of working with Snowflake data becomes streamlined, enabling data analysts to focus on generating valuable insights instead of dealing with the complexities of data movement.

In the digital era, data integration is not just a luxury—it’s a necessity for efficient business operations and informed decision-making. With data stored across different platforms, applications, and cloud environments, businesses need tools that can help them unify these disparate data sources. MuleSoft and ETL are two commonly discussed solutions in the data integration space, but they serve very different purposes.