Top 10 AI Platforms to Build Modern Applications in 2022

AI platforms are empowering businesses with smart capabilities. We discuss the top AI platforms here

AI platform is a set of services that support the machine learning life cycle. And it is designed to function more efficiently and intelligently than traditional frameworks This includes support for gathering and preparing data as well as training, testing, and deploying machine learning models for applications at scale.

Innovations and improvements in the domain of Artificial Intelligence have produced some of the smartest solutions to problems that were too complex to comprehend. An AI Platform enables businesses to achieve their maximum efficiency by providing numerous benefits. AI platforms are useful for tasks like Detecting faces, terrorism funding, network intrusion, etc.

So, let's start with the list of our top AI platforms that are empowering businesses with smart capabilities:

1. Amazon AI Services: Amazon has an extensive list of services in the Artificial Intelligence and cloud computing industry that can utilize to not only gain better insights into their customers but also simplify a broad range of their regular tasks. Amazon gains advanced analytics and makes better decisions with AI services of translation services, personalized recommendations, generating forecasts using Machine Learning, extracting data from physical copies of documents, user identity verification, etc.

2. Google Cloud AI Platform: Google also has a suite of cloud services revolving around AI.  data storage services, management tools, are some of the best AI platforms that goggle provides to smoothen businesses. And machine learning accelerators, deep learning, natural language processing, translations, vision application programming interface video analysis, are some of the google cloud AI platforms. cloud-based machine learning, spam detection, customer sentiment analysis are some of the other features of AI platforms in google.

3. Tensor Flow: Tensor Flow is the most popular artificial intelligence software. it is a python-based numerical computation and machine learning platform that allows developers to build large-scale multi-layered neural networks. It is for everyone from beginners to experts. The platform allows you to conveniently build and deploy AI-based applications in the cloud, browser, premise, iOS, and Android devices. This platform supports the OS of Desktops, Clusters, Mobile, Edge devices, CPUs, GPUs, & TPUs. It is useful for various tasks related to image recognition, video detection, time series, voice recognition, etc. TensorFlow allows Developers, Researchers, and Data Scientists to take on complex Machine Learning problems across a variety of platforms. Deep Flexibility, True Portability, Auto Differentiation are some of the other features of TensorFlow.

4. IBM Watson: Watson Studio provides solutions at all stages of deploying and handling machine learning models by defining project goals, data preparation, choosing the right tools, model training, and deployment. The best feature of IBM is it learns a lot from small data. The IBM Watson platform allows businesses and organizations to automate complex machine learning processes, predict future outcomes, and optimize their employees' time. From IBM data scientists and analysts get access to a world-class collection of tools to manage the flowing data, numerous projects, deep learning integration, visual recognition, natural language processing, model lifecycle automation.

5. Microsoft Azure: Microsoft Azure is a cloud-based analytics design of machine learning to simplify business ML. Azure is an AI-powered efficient tool enabling businesses to operate on a global scale with cost-effectiveness. With the help of Azure ML, data scientists and developers can rapidly develop, train, and deploy ML models easily to the Azure Cloud with the help of several available tools. It is one of the best platforms for building and deploying smarter machine learning models. With Microsoft Azure, organizations and businesses get access to an exhaustive collection of services, including cloud computing, IoT, migration options, virtual desktops for remote access, developer tools, enhanced security, etc.

6. H2O: H2O is making businesses aware of the numerous benefits of AI and ML by giving access to healthcare, finance, telecommunications, retail, marketing, pharma services to minimize market risks and drive profits even higher. Auto ML functionality is the best feature of H2O. It allows both beginners and experts to build or train AI models. The platform supports multiple forms of data, including tabular, text, image, audio, video, etc.

7. Infosys Nia: Infosys Nia platform designed to simplify the AI process for businesses and enterprises. Deeper insights for better analytics and forecast, automation capabilities, root cause analysis, easier migration, data management is the best features of Nia. It is useful for various tasks related to machine learning, deep learning, data management, NLP, etc. This allows organizations to be more productive and allows workers to be more efficacious in conducting their tasks.

8. Salesforce Einstein: Salesforce Einstein is an innovative integrated AI service that helps Salesforce offer smarter analysis to its customers while automating their workflow. It aims to deliver better customer insights. In this platform no need for managing models and data preparation.

9. Rain Bird: Rain Bird might be the right tool for AI-driven decision-making capabilities. It is suitable for businesses that run on financial agencies, fraud protection services, and more. The visual user interface, smart data import, natural language processing are some other features of Rain Bird.

10. Wipro Holmes: Wipro platform that is built to drive efficiency, speed, and experience to cognitive process automation, Natural Language Processing, self-learning, advanced analytics, predictive systems. development, networking, remote operations, virtual assistants, security, and cloud operations such areas also Wipro Holmes useful. visual computing applications, robotics, and drones, digital virtual agents are some other features.