The main problem with writing only formal reports in your company is that you won’t be able to quickly and efficiently communicate important urgent messages and the latest updates to your management and team leaders. You always have strict rules and formats that you have to follow, which will disable you from conveying crucial information in a timely manner. The biggest issue is that your management needs that information in order to make the day-to-day decisions and create efficient strategies.

Five things you need to know about data governance tools: Data governance refers to the methodologies, procedures, and standards that control how your organization processes, manages, stores, and shares data. Legislation in your jurisdiction or industry — such as General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA) — might require you to safeguard all the data that flows through your enterprise.

Imagine a bunch of bricks. They don’t have a purpose until you put them together into a house, do they? In business intelligence, data is your building material, and a quality data analysis report is what you want to see as the result. But if you’ve ever tried to use the collected data and assemble it into an insightful report, you know it’s not an easy job to do.

Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.

Building software can be as easy as baking a cake, or as hard as rocket science. It all depends on the tools you use. As a developer, you’ve probably encountered issues like inconsistent builds, long build times, and dependency hell. If you want to make your life easier and your software better, you may want to try Bazel, the ultimate build tool that can handle anything from cupcakes to spaceships.

Self-hosted platforms have been around for a long time but fully managed solutions are the future. Learn the differences between self-hosted and fully managed to help you make the right decision for your organization.

Data mesh, it’s one of the hottest data science topics among software engineering teams, data scientists, and anyone interested in building a more effective data infrastructure. This concept is a relatively new model for data management, helping large enterprises scale their data footprint to accelerate digital transformation. Many industries, like retail and banking, see how crucial data is, yet few have mastered ways to harness it. API generation for data mesh is one of the ways you can start.

On October 30, 2023, President Joe Biden issued a landmark Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence (AI). The Executive Order represents a comprehensive statement of intent for AI regulation, mandating transparency from firms that use AI and establishing safety and security standards. Moreover, it compels AI developers to disclose the outcomes of safety evaluations to the U.S. government, especially if the results indicate a potential threat to national security.

When monetizing APIs, specific ways exist to entice customers to begin using your services. Much of the time, users like to see some value before they commit to becoming a full-blown paid customer. Other times, users want to start on a free tier and, hopefully, will upgrade later. One of the most popular billing providers we see used for API monetization is Stripe, and thankfully, by using Stripe and Moesif together, you can quickly implement a Freemium model.

Launched in 2006, Salesforce Apex revolutionized the CRM landscape, offering unprecedented customization capabilities that transformed how organizations interact with their customer data. Today, its potent and intricate features continue to make it a cornerstone in CRM management, though navigating its complexities often demands dedicated training and extensive experience, underscoring its sophistication in the realm of advanced CRM solutions.