Systems | Development | Analytics | API | Testing

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

The ability to perform custom text analysis in a variety of ways makes our toolset even more comprehensive and user-friendly.

Software quality metrics are essential tools that may help you understand and improve many different areas of a testing project if you are in charge of new software development and want to know how to arrange everything properly and evaluate the product's quality before release. A set of performance indicators used to assess the quality of a software product is known as s oftware quality metrics, which indicate what is happening throughout the project by presenting all parts of the process with data.

In the dynamic world of product development and management, the role of a Product Analyst has become increasingly pivotal. These professionals are at the forefront of deciphering market trends, customer behaviors, and product performance through data analysis. Their insights play a crucial role in shaping product strategies, ensuring that products not only meet current market demands but also anticipate future trends.

In the bustling digital marketplace, the art of monetizing APIs has emerged as a game-changer for businesses. Stripe, a leader in online payment processing, and Moesif, an expert in API analytics, are pioneering this frontier. This article delves into the essence of Stripe, the dynamics of API monetization, and how the synergy of Moesif and Stripe can revolutionize your API revenue streams.

As we have seen in the last few years, subscription-based models align customer needs with business growth. Whether you’re a startup or an established enterprise, mastering the art of subscription tiers and learning how to apply them to your API monetization strategy is crucial. In this blog post, we will look at navigating through the implementation of subscription tiers for monetized APIs with the aid of two vital tools: Moesif and Stripe.

In today’s digital age, APIs (Application Programming Interfaces) are pivotal in modern businesses, connecting them with customers, partners, and the broader technical ecosystem. Growing far beyond just the backbone of an application, APIs have now caught the attention of businesses looking to create a new revenue stream. As organizations recognize the revenue potential of their APIs, effective API monetization strategies and tools have grown in popularity.

Monetizing an AI-based API can be a strategic decision that holds the potential to drive growth and financial stability for artificial intelligence companies. An API that doubles as an AI tool offers valuable services and capabilities that can be utilized by a diverse range of users and industries.

Businesses are always under pressure to optimize. Often, organizations look to use business process management (BPM) methods to streamline operations. The most direct benefit of this is to reduce costs by decreasing human labor and errors. But the benefits of BPM are much broader. BPM software and BPM methods don’t just allow you to shed the excess in the system—they can help you build real, long-term benefits that pay dividends down the road.

Agile development teams generally follow the principles of Scrum where individual teams work together to manage their workload through a set of values, principles, and practises. From a development perspective this gives a team which comprises a Product Owner, Scrum Master, and Development team the autonomy to work and deliver in an environment that suits their needs and helps them develop change for the organisation in a way that maximises efficiencies.