What are popular APIs for companies and how can they be improved by AI

My company has been developing apps for the last 3 years, and let me tell you, it has never been easier since the entry of APIs. It has helped us stay productive, work with useful data, inject innovation — the list goes on. But I’m not here to go on and on about the benefits of APIs, so let us cut right to the chase.

Here are some popular APIs that my company has used for different businesses:

• Alexa Skill Management API: Use it to create, manage, and test new skills for Alexa — Amazon’s smart digital assistant, and enhance her skill set.
• Google Assistant API: Allows you to embed Google’s smart assistant into an array of devices.
• Salesforce Einstein Language API: Used to analyze text from various sources and classify it on the basis of sentiments.
• Anaconda API: Backed by Python, this API is an enterprise-grade scalable and secure API used to control data science assets.
• REST Countries API: Fetches information about any country in the world. Get access to information such as its capital, currency, language, and more!
• Polygon.io API: Helps while working with finance-related data as it can source data such as stock quotes, historical performance, etc. It also works with cryptocurrencies.
• Associated Press API: For when you wish to integrate real-time news and alerts from reliable sources.
• Wit.ai API: To voice-enable your website using text-to-speech functionality. Responsive Voice API is an alternative to Wit.ai.
• Amazon Selling Partner API: It offers all the legacy functions available on the Amazon Market Web Services.
• PredictionIO: Used by developers and data scientists to build predictive models using machine learning.
• Plaid API: To allow users to link their bank accounts without sharing any information on the platform.
• GIPHY API: For when you wish to add the entire library of GIFs from GIPHY.
• Spotify API: To play music, share artist/band details, discover music, create playlists, and more!

Now to the other part of the question, how can they be improved with AI? Well, here’s where it gets interesting.

Technologies like AI and ML make API smarter in more ways than one. For a start, AI can contribute to the API design process and make it more streamlined. Further, you can use AI to set up rule-based triggers that are based on preset conditions used from historical API data. Similarly, AI engines can automatically manage thresholds and adjust them to pattern-based values to boost efficiency. And it goes without saying that once you have the human element out of the picture, there are fewer possibilities of error and inaccuracies.

That being said, apart from routine API management, AI can come in super handy in reinforcing API security. The various authentication measures, throttling capabilities, and static security checks seal the chinks in API’s armor.

All in all, it would be the same advantages of API — just better! I’d say, the introduction of AI in API is no less than a transformative change to development!