Top 10 AI APIs for Building Super-Smart Apps in 2022


by Disha Sinha


February 17, 2022

Leverage AI APIs for super smart apps to deliver rich customer experience

Super smart apps are highly demanded by target audiences for their smarter use of device features. Yes, customers can receive all relevant information and recommendations regarding their concerns effectively and efficiently. The integration of AI APIs for applications provides multiple benefits to super-intelligent applications. Applications with artificial intelligence increase revenue with better customer engagement and rich experiences. The global smart application market size is expected to reach US$50 million by 2030 with a CAGR of 17.4%, while the API management market size is expected to reach US$6.81 billion by 2025 with a CAGR of 17.4%. CAGR of 33% and the global artificial intelligence market. is expected to reach US$169,411 million in 2025 with a CAGR of 55.6%. So let’s explore the combination of these three in the ten best AI APIs for super-intelligent apps to use in 2022.

Top Ten AI APIs for Super-Smart Applications in 2022

Open AI

Open AI is one of the best AI APIs for super smart applications as it provides access to GPT-3 which performs a diverse range of natural language tasks as well as Codex. Codex helps translate natural language into code. AI APIs for applications offer extremely fast response times, high-volume requests with scalability, and the flexibility to make machine learning teams more productive. Applications with artificial intelligence help developers with free content filtering, end-user monitoring, and specialized endpoints to determine API usage.

AWS AI Services

AWS AI Services is popular for offering out-of-the-box AI APIs for applications and workflows. AI services can seamlessly integrate with applications to address concerns such as contact center modernization, personalized recommendations, improved safety and security, and many more. AI APIs for super smart apps provide advanced text analytics, automated code reviews, chatbots, demand forecasting, fraud prevention, image and video analysis, and more others.

With.ai

Wit.ai helps build super smart apps with AI APIs and natural language experiences. It allows customers to interact with branded products through voice and text. It not only focuses on mobile apps, but also on robots, smart homes, and wearables for customizable experiences. This AI API for apps creates apps and devices to call or text. It also offers a natural language interface for applications that transform sentences into structured data.

Alexa Skill Management API

Alexa Skill Management API is one of the popular AI APIs for super smart applications known as SMAPI operations regarding creating and updating skills while manifesting skills. There is a request that must have an authorization header for the access token using the ASK CLI. This AI API for apps requires OAuth 2 and token authentication.

google

Google provides Cloud APIs to automate workflows with preferred programming language. There are several Google AI APIs that help applications with artificial intelligence such as App Engine Admin API, OS Login API, Compute Engine API and many more. Google is popular for offering syntax analysis, sentiment analysis, entity analysis, as well as multilingual to create expectations on new data. He is known for completing a stage known as the Artificial Intelligence Stage.

Microsoft Azure

Microsoft Azure is popular for offering a hybrid, multi-cloud management platform for APIs in all environments. Organizations are adopting API architectures to drive growth in one place by deploying API gateways with APIs hosted in Azure. The genus of arthropods is known for providing applications with the capabilities to work with human speech: speech-to-text, text-to-speech, speech translation, and speech recognition.

IBM Watson

The IBM Watson API helps bring conversation, language, and advanced text analytics into apps with its AI API for super smart apps. Organizations can leverage the IBM Watson API to extract feelings and emotions, Watson Natural Language Understanding, to generate deeper business insights, to integrate conversational interactions, as well as Watson Discovery. It also offers Watson Assistant, RegTech, Watson Health, AIOps, and Watson Media to build super smart apps effectively and efficiently.

Parallelpoints

ParallelDots provides Komprehend AI APIs as a comprehensive set of document classification and NLP APIs for software developers. There are NLP models trained on a billion documents with sentiment analysis and emotion detection. AI APIs for Apps can leverage Sentiment, Keywords, Emotion, NER, Taxonomy, Semantics, Intent, and Abuse to build a super smart app in 2022. It promises to deliver real-world accuracy, open and flexible text data. deployment via Docker containers without any data leakage.

Rev.ai

Rev.ai is one of the best AI APIs for super smart applications offering accurate text-to-speech APIs as per speech recognition needs. Developers can receive audio and video with unparalleled precision in an easy-to-use API. He is known for training voice models on over 50,000 hours of text-transcribed voice data to generate an automated API-driven speech recognition engine. Applications with artificial intelligence can be used asynchronously and streamed with simple integration.

Einstein Language API

The Einstein Language API is a popular AI API for super-smart apps that helps build NLP models for classifying text intent or text mood – positive, negative, and neutral. This Einstein Language API is known to consist of two categories like Einstein Sentiment and Einstein Intent. It helps to build applications with artificial intelligence so that one can analyze emails, chat text, social media and custom patterns.

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