The 10 Best AI Platforms for Building Modern Apps in 2022


by veda-ai


February 20, 2022

AI platforms provide businesses with intelligent capabilities. We discuss the best AI platforms here

The AI ​​platform is a set of services that support the machine learning lifecycle. And it’s designed to work more efficiently and smarter than traditional frameworks. This includes supporting data collection and preparation as well as training, testing, and deploying machine learning models for large-scale applications.

Innovations and improvements in the field of artificial intelligence have produced some of the smartest solutions to problems too complex to understand. An AI platform enables businesses to achieve their maximum efficiency by providing numerous benefits. AI platforms are useful for tasks such as face detection, terrorist financing, network intrusion, etc.

So, let’s start with the list of our top AI platforms that provide businesses with intelligent capabilities:

1. Amazon AI Services: Amazon offers a long list of services in the AI ​​and cloud computing industry that can be used to not only gain better insights into their customers, but also to simplify a wide range of their regular tasks. Amazon benefits from advanced analytics and makes better decisions thanks to the artificial intelligence services of translation services, personalized recommendations, generation of predictions using machine learning, extraction of data from physical copies of documents, verifying the identity of users, etc.

2. Google Cloud AI Platform: Google also offers a suite of cloud services around AI. data storage services, management tools, are some of the best AI platforms provided by Google to streamline business. And machine learning accelerators, deep learning, natural language processing, translations, vision application programming interface video analytics, are some of the Google Cloud AI platforms . Cloud-based machine learning, spam detection, customer sentiment analysis are some of the other features of Google’s AI platforms.

3. Tensor flow: Tensor Flow is the most popular artificial intelligence software. It is a python-based numerical computing 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 easily build and deploy AI-powered applications to cloud, browser, premises, iOS and Android devices. This platform supports the operating system of desktops, clusters, mobile devices, edge devices, CPUs, GPUs, and TPUs. It is useful for various tasks related to image recognition, video detection, time series, voice recognition, etc. TensorFlow enables developers, researchers, and data scientists to solve complex machine learning problems on various platforms. Deep flexibility, true portability, automatic differentiation are some of the other features of TensorFlow.

4.IBM Watson: Watson Studio provides solutions for all stages of deploying and managing machine learning models by defining project goals, preparing data, choosing the right tools, training models, and deploying. The best feature of IBM is that it learns a lot from small data. The IBM Watson platform enables businesses and organizations to automate complex machine learning processes, predict future outcomes, and optimize employee time. IBM data scientists and analysts have access to a collection of world-class tools to manage data streams, multiple 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 enterprise ML. Azure is an efficient AI-powered tool for businesses to operate globally cost-effectively. With the help of Azure ML, data scientists and developers can quickly develop, train, and easily deploy ML models on the Azure cloud using several available tools. It is one of the best platforms for building and deploying smarter machine learning models. With Microsoft Azure, organizations and businesses have access to a comprehensive collection of services, including cloud computing, IoT, migration options, virtual desktops for remote access, developer tools, security reinforced, etc.

6. H2O: H2O educates businesses on the many benefits of AI and ML by providing access to healthcare, finance, telecommunications, retail, marketing and pharmaceutical services to minimize market risk and improve further increase profits. The Auto ML feature is the best feature of H2O. It allows 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 forecasting, automation capabilities, root cause analysis, easier migration, data management are 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 workers to be more efficient in performing their tasks.

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

9. Rain Bird: Rain Bird might be the right tool for AI-based decision-making capabilities. It is suitable for companies that operate financial agencies, fraud protection services, etc. Visual user interface, smart data import, natural language processing are some other features of Rain Bird.

10. Wipro Holmes: Wipro platform designed to improve the efficiency, speed and experience of cognitive process automation, natural language processing, self-learning, advanced analytics and predictive systems. development, networking, remote operations, virtual assistants, security and cloud operations, such as Wipro Holmes are also useful. visual computer applications, robotics and drones, digital virtual agents are some other features.

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