Software applications often perform well during short-term testing but encounter issues during continuous use.

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report, there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

In modern software development, clear code documentation and commenting are not only just a part of good practices, but also they are essential for effective collaboration, maintainability, and scaling projects over time. However, they are often neglected due to time constraints or lack of clarity on how much detail is necessary. But, with the advent of artificial intelligence, developers now have tools to streamline this process, allowing them to focus on coding without compromising on clarity.

It’s November 2024 and I think it is safe to say, AI is officially everywhere. People are talking about it in cafés worldwide. So are your kids. Or your parents. Or grandparents. It may have been integral to your last car buying experience and has been used as a recommendation engine by your at-home/connected devices that hear you and want to improve your life by recommending products they think you need. It is pervasive and getting more so every day.

When was the last time you used a chat service and noticed messages arriving out of order? It’s likely that you can’t think of one. Getting messages to arrive in the right order is more or less job number one of a chat service. Sounds simple. But scale this to millions of users across a global network and it becomes a complex distributed computing problem. Even at smaller scales, message ordering isn’t guaranteed once you go beyond a simple, direct connection between two users.

Artificial Intelligence (AI) is revolutionizing industries globally, and wealth management is no exception. As firms explore innovative ways to enhance customer experience and streamline operations, a critical hurdle looms – trust. The complex algorithms driving AI decisions can be a black box for stakeholders, particularly in a heavily regulated and trust-driven industry like wealth management. This is where Explainable AI (XAI) steps in as a game changer.

In Kong Gateway 2.0, we released Hybrid Mode, also known as Control Plane/Data Plane separation. With it, our customers could efficiently and securely deploy clusters of Kong Gateway Dataplanes on their on-prem, private, and public clouds in any combination they wanted, and they could control the entire cluster from a single point, the Control Plane. Hybrid Mode became instantly popular with all our customers with large and varied deployments, due to the increased flexibility and ease of management.

In large enterprises, Salesforce Architects play a critical role in ensuring data flows seamlessly into Salesforce from various sources. However, data integration in these complex environments can be challenging, particularly when technical tools like MuleSoft are already in place. While powerful, MuleSoft often requires heavy reliance on development teams, which slows down data projects and creates bottlenecks.

In today's hyperconnected world, where negative reviews on social media can wreak havoc on a company’s reputation, delivering an exceptional customer experience isn't just a luxury—it's a business imperative. Companies are locked in a fierce battle for customers that is primarily based on their ability to deliver outstanding customer experiences (CX). According to research by The Conference Board, 65% of CEOs globally prioritize investing in strategies to improve CX.

We are thrilled to introduce our newest feature to Moesif - AI Explain - a powerful conversational tool that lets you interact with your API analytics data like never before. Instead of spending time digging through numerous charts or building complex queries, you can simply ask questions and get meaningful answers in just a few seconds. AI Explain is designed to make analytics accessible to everyone, whether you’re new to working with data or simply want a more efficient way to gain insights.