Top 10 Cloud AI and Machine Learning platforms for business
Last updated: April 27, 2020
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.
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.
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.
Salesforce Lightning Platform is the proven cloud platform to automate and extend your business and deliver the social enterprise. Salesforce Lightning Platform is an extremely powerful, scalable and secure cloud platform, delivering a complete technology stack covering the ground from database and security to workflow and user interface. Build the social, mobile apps you need to power your Social Enterprise.
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.
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.
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.
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.
Automated machine learning platform. mljar allows you to build great machine learning models without coding
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.
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Latest news about Cloud AI and Machine Learning platforms for business
2019. Microsoft launched cloud APIs for form and handwriting recognition
Microsoft introduced several new cognitive services on its Azure Machine Learning cloud platform. First, these are gifts for companies dealing with documents, forms and office notes with handwritten text. The Ink Recognizer and Form Recognizer services allow to transform all these paper documents into digital text and data. Conversation Transcription service - transforms phone dialogs into text with each phrase author recognition. Another new service Personalizer allows you to provide personalized recommendations for website or online store visitors basing on behavioral factors. In addition, Microsoft introduced a new visual interface to create machine learning models. Now even marketers can play with ML. You just need to load the database and specify which parameter you want to predict.