After a couple of years in try out version, Hewlett-Packard’s Haven OnDemand system is lastly open for commercial use. The machine learning service is created to help businesses build smart processing alternatives, text research, voice identification, picture analysis, listing and searching API on the web.
The company designed it to offer machine-learning systems to organizations through its self-service distribution concept. Although an industrial form of the program will currently be available, firms will still be able to access the “freemium” support.
This has been provided by HP throughout its try out edition that allows customers to create and test an API for free. The company affirmed that it has authorized more than 10,000 designers for their Haven OnDemand group.
The objective of the producer is to build a wide selection of APIs regarding different elements of machine learning. This will provide customers a large series of resources for working with extremely nuanced, contextualized information.
Many different methods have to be applied to obtain the utmost value, HP’s officials said. Because of this, Haven OnDemand’s selection of APIs can be used for an extended set of objectives. The program can crawl, catalog and evaluate information from data file apps and the Internet, the experts added.
It can evaluate and capture ideas from texts, video, audio and picture data files, identify faces or scams. The system can then be used to design predictive designs and suggestions software.
In addition, designers can use it to develop data modification or enrichment workflows while mixing several APIs together. These APIs are created to supplement each function and collaborate in various mixtures to offer multiple machine learning abilities.
Among the abilities that Haven OnDemand provides is innovative text research, which captures the general meaning from organic terminology by concentrating on ideas, entities and emotions within the written resources.
Structure transformation, another major ability, offers key features to access, draw out and turn non-textual data by assisting a number of standard data types and visual identification to capture written text from pictures.
Haven OnDemand provides designers picture identification and face recognition abilities, enabling programs to detect particular photo traits. These will code through human-centric utilization cases to recognize the sex of a person, or key data like a brand’s logo within a picture.
It also applies sensory network technologies to write conversations from videos or audio tracks in over 50 languages, enabling software to support voice identification.
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