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Top 9 Cloud AI and Machine Learning platforms for business
April 13, 2024 | Editor: Michael Stromann
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Cloud AI and machine learning platforms provide businesses with the infrastructure and tools to develop, deploy, and scale artificial intelligence and machine learning applications in the cloud. These platforms offer capabilities such as data storage, model training, inferencing, and APIs, enabling businesses to leverage the power of AI and machine learning technologies to automate processes, gain actionable insights from data, and deliver intelligent solutions to their customers.
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Access a reliable, on-demand infrastructure to power your applications, from hosted internal applications to SaaS offerings. Scale to meet your application demands, whether one server or a large cluster. Leverage scalable database solutions. Utilize cost-effective solutions for storing and retrieving any amount of data, any time, anywhere.
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Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any alternative language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
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Google Cloud Platform is a set of modular cloud-based services that allow you to create anything from simple websites to complex applications. Cloud Platform provides the building blocks so you can quickly develop everything from simple websites to complex applications. Explore how you can make Cloud Platform work for you.
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Oracle Public Cloud provides customers and partners with a high-performance, reliable, elastic, and secure infrastructure for their critical business applications and offers customers a complete range of business applications and technology solutions, avoiding the problems of data and business process fragmentation when customers use multiple siloed public clouds.
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Get the best of both worlds – the power of real time + the simplicity of the cloud – with our cloud-based deployment option for SAP Business Suite powered by SAP HANA, SAP NetWeaver BW powered by SAP HANA, and the SAP HANA platform.
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IBM Cloud offers open cloud infrastructure services for IT operations. The IBM Cloud gives you the flexibility to have public, private or hybrid clouds, depending on your business needs. With the IBM Cloud you can unlock more value in your business and in the technology you already have. It’s the cloud that can integrate enterprise-grade services and help speed up the way you innovate.
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H2O is open-source software for big-data analysis. It is produced by the company H2O.ai. H2O allows users to fit thousands of potential models as part of discovering patterns in data.
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Automated machine learning platform. mljar allows you to build great machine learning models without coding
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BigML offers a wide variety of basic Machine Learning resources that can be composed together to solve complex Machine Learning tasks. You can access those resources via the BigML Dashboard, an intuitive web-based interface, or programmatically via its REST API or a multitude of libraries and tools. The introductory videos below will help you get up to speed with the BigML Dashboard regardless if you have any prior background in Machine Learning.
Latest news about Cloud AI and Machine Learning platforms for business
2019. Microsoft launched cloud APIs for form and handwriting recognition
Microsoft has unveiled a range of new cognitive services on its Azure Machine Learning cloud platform, catering to various document-related needs and offering enhanced capabilities. Among these services are the Ink Recognizer and Form Recognizer, which enable the conversion of handwritten text and paper documents into digital text and data. Additionally, the Conversation Transcription service facilitates the transformation of phone dialogues into text, with the ability to identify the author of each phrase. Another notable addition is the Personalizer service, which delivers personalized recommendations to website and online store visitors based on their behavioral patterns. Furthermore, Microsoft has introduced a user-friendly visual interface for creating machine learning models, empowering marketers and other professionals to engage with machine learning. By simply uploading the database and specifying the desired predictive parameter, users can explore the potential of machine learning in their respective fields.
