In recent years, we have seen exponential growth in the use of artificial intelligence in business, often combined with Machine Learning (ML). Since last year, however, generative AI has taken center stage and found everyday uses — in other words, artificial intelligence became available for personal use for the first time.
Unsurprisingly, it sparked genuine fascination, which fueled the creation of a wave of new generative AI solutions and applications.
It is therefore important to look at the moves and trends companies around the world are pointing to as AI use goes mainstream, especially in technology environments. We should be thinking about solutions that integrate AI with all kinds of APIs to create and deliver value for projects around the world.
What are APIs?
Before looking at how AI + API integrations work, we need to better understand what an API is and what it does.
API stands for “Application Programming Interface”: a set of commands, protocols and tools for building or integrating applications.
APIs allow different systems to communicate and interact with each other by exchanging information. This information can be extremely useful for building an app or a website, for example, which is why APIs are indispensable today: they are used in the vast majority of the apps and websites we use.
Examples of APIs include the Uber app, which uses mapping, payment and connectivity APIs to work effectively. Beyond Uber, think of the major shopping apps, which use credit card APIs to validate purchases.
In general, APIs create a direct bridge between the back end and front end of websites and apps, allowing them to run fast, without freezes or frequent outages.
How can AI be integrated with an API?
Many companies today use artificial intelligence in their apps to give customers more accurate responses; others apply AI to read data in order to understand or predict new behavioral patterns.
But AI integrated with APIs is set to have an ever greater impact on people’s daily lives — for example, Tesla’s use of AI and API integration to build the first self-driving car on the market, to the point where drivers could even sleep while the car drives.
Other companies, such as Amazon, gave their AI a voice and built powerful integrations over the years, so that today most people can have a connected home through Alexa.
There is no question, then, that integrating AI applications with APIs can benefit countless capabilities and industries, depending on the business’s purpose.
APIs for Processing Traffic
When a company sets out to use artificial intelligence in its technology architecture, performance problems are common, since AI models have enormous numbers of parameters to process. Integrating an API with an AI can improve efficiency by creating a microservices-based system that allows information to be distributed and processed in independent parts.
By splitting functions and synchronizing them through APIs, AI can work seamlessly with the infrastructure, keeping the environment scalable and cost-effective.
How can Digiage help?
Digiage specializes in building data and API solutions. We bring our clients the latest in API technology, delivering data and insights that take their business to the next level.
In recent years, Digiage has helped clients across a wide range of industries — including telecommunications, manufacturing and gas distribution — manage their APIs securely and efficiently.
If you want to learn more about Digiage and how API and generative AI integrations work, get in touch with us!