What are the most common APIs used by organizations, and how might AI improve them? first posted on Quora, a knowledge-sharing platform that empowers people to learn from others and better understand the world.

Archil Cheishvili, CEO of Genesis AI, said on Quora:

My organization has been creating applications for the previous three years, and I can assure you that it has never been simpler than with the introduction of APIs. It has assisted us in remaining productive, working with meaningful data, instilling creativity, and so on. But I'm not here to wax lyrical about the advantages of APIs, so let's get straight to the point.

Here are some prominent APIs that my organization has utilized for various projects:

Use the Alexa Skill Management API to build, manage, and test new skills for Alexa, Amazon's intelligent digital assistant, and to expand her skill set.

Google Assistant API: Allows you to integrate Google's intelligent assistant with a variety of devices.

Salesforce Einstein Language API: Used to evaluate and categorize text from diverse sources based on feelings.

Anaconda API: This Python-based API provides an enterprise-grade, scalable, and secure API for controlling data science assets.

REST Countries API: Retrieves data about any nation in the globe. Learn about the country's capital, currency, language, and more!

Polygon API: This API is useful for dealing with financial data since it can source data such as stock quotations, historical performance, and so on. It is also compatible with cryptocurrencies.

When you want to incorporate real-time news and notifications from trusted sources, use the Associated Press API.

Wit.ai API: Use text-to-speech capability to voice-enable your website. Wit.ai may be replaced by Responsive Voice API.

Amazon Selling Partner API: It provides all of the legacy functionality found on Amazon Market Web Services.

PredictionIO: Used by developers and data scientists to create machine learning prediction models.

Plaid API: Allows users to connect their bank accounts without disclosing any personal information with the site.

GIPHY API: For when you want to add the whole GIPHY library.

Spotify API: Listen to music, exchange artist/band information, find new music, make playlists, and more!

Now for the second half of the question: how can they be enhanced using AI? This is when things become interesting.

AI and machine learning make APIs smarter in more ways than one. To begin, AI may contribute to and expedite the API design process. You may also utilize AI to create rule-based triggers based on preset circumstances derived from past API data. Similarly, AI engines may maintain thresholds automatically and adapt them to pattern-based values to improve efficiency. And it goes without saying that once the human factor is removed, there are less opportunities for mistake and inaccuracy.

However, apart from ordinary API maintenance, AI may be quite useful in strengthening API security. API's armor is strengthened by numerous authentication mechanisms, throttling capabilities, and static security checks.

Overall, it would have the same benefits as API - just better! I'd argue that the inclusion of AI in APIs is nothing short of a game changer in programming!