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People are tired of talking about artificial intelligence (AI). They want action. Since the launch of ChatGPT, the financial services industry has been looking for ways to drive value with AI, but it's been a struggle to get real value out of AI experiments and pilot projects. The banking industry prefers to avoid potential risks, so how can financial sector leaders move from AI experimentation to AI value while being mindful of risk tolerance?

Exceptions in C# are like fire alarms – they're loud, disruptive, and absolutely essential. And much like fire alarms, most beginners either ignore them or disconnect the batteries. Let me explain what we're dealing with here. In the C# world, exceptions are specialized objects that capture all the details when something goes wrong in your code. They're not just error messages – they're fully-fledged objects that inherit from the System.Exception class.

Concurrency is the ability of an app to perform multiple tasks at once, and it’s a crucial concept for apps that need to perform multiple tasks at once in an efficient, usable way. Thankfully Swift has made great strides with concurrency, and now provides simple tools for writing robust apps that are responsive and enjoyable to use. In this article we’ll explore two main ways of using threads for concurrency models.

Artificial intelligence is now ever-present in many businesses. But where’s the ROI? Many deployments stall in pilot mode, failing to drive transformation. Over the past two years, businesses have rushed to deploy generative AI to try to boost operational efficiency, improve customer experiences, and achieve critical organizational objectives. But without a structured enterprise AI strategy, these efforts have failed to drive tangible business outcomes. The problem?

Microsoft Fabric combines data engineering, warehousing, real-time analytics, and BI into a single environment to help organizations streamline data workflows and derive insights from large, diverse datasets. For teams leveraging Fabric, data masking is an essential method for safeguarding sensitive data, ensuring compliance, and maintaining data quality throughout analytics pipelines.

Ever scrolled through jaw-dropping AI-generated art and thought, how is this even possible? What if you could build something just as powerful or even better? Well, AI-driven creativity is no longer a futuristic dream because it’s happening right now, with platforms like MidJourney leading the way. These tools take a simple text prompt and transform it into a stunning, high-quality image within seconds. But have you ever wondered what goes on behind the scenes? Take a look at the image below-

Data extraction is critical in 2025 as companies handle massive data volumes, expected to reach 175 zettabytes globally. Here's a quick breakdown of the best methods to extract, manage, and analyze data effectively.

When building Node.js applications that interact with relational databases, you have a large variety of tools at your disposal to manage and execute queries. The three most common approaches — raw SQL, query builders, and Object-Relational Mappers (ORMs) — offer unique advantages and challenges, making it difficult to decide which is best. In this guide, we will compare the strengths, trade-offs, and use cases of all three approaches.

Software has become a core component of modern vehicles, so much that software defined vehicles (SDVs) are transforming the automotive market, bringing key features to the software rather than the hardware of the vehicle. But developing high-quality code for software defined vehicle architecture is challenging.

Last week, industry leaders gathered at the Game Technology Summit during GDC 2025 to explore emerging trends and challenges in game development. The panel discussion, moderated by Jase Lindgren (Sr. Solutions Engineer and P4 Evangelist, Perforce), featured insights from Colin Walder (Engineering Director, CD PROJEKT RED), Joshua Orellana (Head of Animation and Games, Halon Entertainment), and Matt Ellis (Game Dev Advocate, JetBrains).