Best AI Platforms You can Use in 2023

Artificial intelligence (AI) will undergo tremendous growth in the coming years.

Photo by Andy Kelly on Unsplash (AI)

There are many ways AI can help businesses, consumers, and society at large. As part of its 2022 predictions report, Gartner says that 36% of organizations will use AI to automate their backend systems by 2022. This is a significant rise from the 27% who used it in 2017.

As we see these changes happening, there’s no doubt that more robust AI software has become increasingly important for enterprises. Users must be able to access AI-powered services and applications that can leverage their data to make better business decisions.

What are the best AI Artificial Intelligence Cloud Platforms you can use in 2022?

Here is a list of the top 13 A.I cloud platforms you could use in 2022.

1. Microsoft’s Project Brainwave:

This open -source platform is available for free to anyone for any kind of AI application. It combines FPGA technology with high-performance computing so that you can run complex neural networks on the cloud.

2. Amazon Web Services (AWS):

AWS provides its clients with the tools they need to build, run and manage AI services. Early customers include Capital One, Netflix and the U.S. Department of Defense (DoD). And in January 2018, AWS announced an expansion of its partnership with Nvidia.

3. Google Cloud Platform:

Google offers access to machine-learning and hardware infrastructure for companies that want to develop AI. It also offers a software library, which makes it easier for developers to build and train deep learning models.

4. IBM Watson:

IBM’s Watson Next Gen offers developers more than 50 services, including image recognition, conversational APIs and natural language processing. It also provides cloud-based security services such as threat intelligence and phishing protection.

5. Facebook:

As with Google, Facebook offers a wide range of AI tools on its social network and messaging platforms such as Messenger Instagram and WhatsApp.source software will help power some of the most complex, data driven applications and systems, such as speech recognition and machine translation services, image processing tasks, self-driving car simulations and more.

6. Google’s TensorFlow:

The first open source artificial intelligence framework allows developers to train neural nets with deep learning to solve complex problems across many different fields that include healthcare and renewable energy solutions industries with larger adoption than other AI frameworks like OpenAI’s Universe for exampleIt’s a powerful tool for building AI systems that can help people, companies, and society at large.

7. Amazon Lex:

Another open source platform from Google is Amazon EC2. The service is designed to deliver computation by way of cloud service. It offers a managed service based on a container architecture. It allows companies to access the full stack and deploy services with minimal cost and effort.

8. IBM Watson:

IBM has been very much involved in artificial intelligence research over the years, which has given it an edge in many industries including marketing and finance, among others. It’s also been working on artificial general intelligence (AGI), which is the ability to quickly and efficiently learn, reason and act in a manner that we describe as intelligent.

9. Microsoft Cognitive Services:

MC cognitive services are a set of APIs that help developers build a variety of applications powered by machine learning. It offers developers access to more than 400 prebuilt cognitive solutions spanning a wide variety of areas including vision, speech, and language processing, among others. Machine learning has been widely embraced by companies and organizations across various industries as it helps them cope with critical business problems such as fraud detection and cross-sales identification at the same time as streamlining their operational processes with intelligent algorithms.

10. IBM Watson:

IBM’s machine learning solutions offer solutions to address a wide range of business requirements across industries. IBM Watson is primarily a cognitive services cloud computing platform that has helped many companies use analytics in ways they couldn’t have imagined before.

11. SAP Leonardo Artificial Intelligence Platform:

The SAP Leonardo artificial intelligence platform offers businesses intelligent business process management and insights at the forefront of digital transformation initiatives through the development and adoption of innovative machine learning (ML) capabilities, which are at the heart of AI-enabled digital business practices. It helps organizations to increase their competitive advantage through intelligent applications by providing data integration solutions, predictive tools and advanced analytics;

12. SAP Cloud Platform:

SAP Cloud Platform is the infrastructure for SAP HANA, which is a business intelligence and analytics platform for developers, data scientists and business users. It has many machine learning capabilities built into it that allow companies to gain insights from the massive amounts of data they have collected from their business operations;

13. IBM Watson:

IBM’s Watson is a groundbreaking AI-based cognitive computing system with highly advanced analytical capabilities as well as natural language processing and dialogue capabilities that allow it to process large amounts of textual data and generate highly accurate predictions. It can synthesize information from multiple sources, along with its own database of knowledge, to answer questions posed in natural language.

Thanks for reading!

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