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. One of the most popular billing providers we see used for API monetization is Stripe, and thankfully, Stripe supports free trial models. Paired with Moesif, you can easily adhere to what model you require to support your API monetization needs.

Commercializing an AI-based product requires turning technology into a marketable product, navigating challenges from development to market entry. Appealing to enterprise buyers is crucial for sustainable, continuous growth, as their interest not only validates your product’s value but also lays the foundation for long-term success and scalability. More specifically, the larger the businesses of your potential customers are, the more of a monopoly your product likely has in the market.

Are you ready to start exploring the world of API development with Django? In this tutorial, we will begin an exploration of how to leverage Django together with the Django REST framework, a robust and versatile framework for creating efficient and scalable APIs. This guide is designed to provide you with a clear and structured approach to Django REST API, ensuring that both beginners and experienced developers can navigate and utilize this powerful tool with ease.

The misconception that product led growth implies a business neglects sales couldn’t be further from the truth. In reality, product led growth (PLG) involves integrating sales later in the customer journey, placing the purchasing power back in the hands of your users. This self-service approach is highly effective, especially when paired with insightful user data to streamline and target growth. For AI-centric companies, this product-led strategy serves as a fundamental pillar for success.

Recently we introduced one breaking change in how user information is exported from Countly, and we wanted to explain why such change was made and what to do to keep your plugins supported. But before we dive into why's, let's first reiterate the "what" part.

2023 was a rough year for data security. A quick look at the biggest hacks of this year reveals some very disturbing information and trends. There were many specific hacks and data breaches that malicious actors were able to accomplish. Cybercrime skyrocketed in 2023. The rise in cybercrime was fueled largely by the continued COVID-19 pandemic and the work-from-home measures taken by countless businesses. According to one report, cybercrime increased 600%.

All tools on our list have proven to be capable and flexible enough to fit a variety of use cases. So, how do you choose? As you review these options, assess them based on the analytics tools, reporting tools, data management features, and integrations. If you find a cost-effective tool that matches the technical abilities of your team while delivering the backend power you need, you've got a winner. Data analytics makes decision-making five times faster for organizations.

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.