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| Source: HPE Haven OnDemand website. |
Hewlett Packard Enterprise has announced the commercial availability of HPE Haven OnDemand, a cloud platform that provides advanced machine learning APIs and services that enable developers, startups and enterprises to build data-rich mobile and enterprise applications.
Delivered as a service on Microsoft Azure, HPE Haven OnDemand provides more than 60 APIs and services that deliver deep learning analytics on a wide range of data, including text, audio, image, social, web and video. HPE launched this effort in December 2014 with the beta version of HPE Haven OnDemand. Today, platform has more than 12,750 registered developers.
HPE Haven Search OnDemand enterprise-search-as-a-service – search across on-premise or cloud data to deliver context-sensitive results.
Image recognition and face detection – enables applications to detect specific image features and code around human-centric use cases to identify the gender of an individual or key information such as a brand logo from within an image.
Knowledge graph analysis – automatically delivers insights and predictions related to relationships and behavioural patterns among people, places and things.
Predict and recommend – enables developers to view patterns in business data to optimise business performance and build a set of self-learning functions that analyse, predict and alert based on structured datasets.
Speech recognition – employs advanced neural network technology to transcribe speech to text from video or audio files with support for over 50 languages.
Momentum spans startups to global enterprises
Delivered as a service on Microsoft Azure, HPE Haven OnDemand provides more than 60 APIs and services that deliver deep learning analytics on a wide range of data, including text, audio, image, social, web and video. HPE launched this effort in December 2014 with the beta version of HPE Haven OnDemand. Today, platform has more than 12,750 registered developers.
“The software industry is on the cusp of a new era of breakthroughs, driven by machine learning that will power data-driven applications across all facets of life,” said Darren Ong, Vice President, Big Data Platform, Asia Pacific and Japan, HPE. “HPE Haven OnDemand democratises big data by bringing the power of machine learning, traditionally reserved for high-end, highly trained data scientists, to the mainstream developer community. Now, anyone can leverage our easy to use cloud-based service to harness the rich variety of data available today to build applications that produce new insights, differentiate businesses, delight customers and deliver a competitive advantage.”
HPE offers a freemium service, enabling development and testing for free, with a usage and SLA-based commercial pricing model for enterprise class delivery to support production deployments. Capabilities offered by HPE Haven OnDemand include:
Advanced text analysis – extracts the key meaning from language by employing powerful concept extraction capabilities that go beyond traditional approaches to obtain key concepts, entities and sentiment from text sources.
Format conversion – accesses, extracts and converts information wherever it lives by supporting an extensive set of standard file formats. Optical character recognition can also be deployed to extract text from an image.
HPE offers a freemium service, enabling development and testing for free, with a usage and SLA-based commercial pricing model for enterprise class delivery to support production deployments. Capabilities offered by HPE Haven OnDemand include:
Advanced text analysis – extracts the key meaning from language by employing powerful concept extraction capabilities that go beyond traditional approaches to obtain key concepts, entities and sentiment from text sources.
Format conversion – accesses, extracts and converts information wherever it lives by supporting an extensive set of standard file formats. Optical character recognition can also be deployed to extract text from an image.
HPE Haven Search OnDemand enterprise-search-as-a-service – search across on-premise or cloud data to deliver context-sensitive results.
Image recognition and face detection – enables applications to detect specific image features and code around human-centric use cases to identify the gender of an individual or key information such as a brand logo from within an image.
Knowledge graph analysis – automatically delivers insights and predictions related to relationships and behavioural patterns among people, places and things.
Predict and recommend – enables developers to view patterns in business data to optimise business performance and build a set of self-learning functions that analyse, predict and alert based on structured datasets.
Speech recognition – employs advanced neural network technology to transcribe speech to text from video or audio files with support for over 50 languages.
Momentum spans startups to global enterprises
HPE has fostered a global community of developers that use HPE Haven OnDemand through an active global hackathon programme and comprehensive resources, docs, tutorials, code libraries and quick-start materials. This developer community has provided vital feedback to help HPE optimise the offering. Some examples of resulting applications include:
Ayni – a startup that won the Hack4Europe 2015 challenge created an app (video) for facilitating cultural exchange and foreign language education using HPE Haven OnDemand. The app uses HPE Haven OnDemand’s speech recognition API to create text transcripts of live audio streams.
Blink – a “speed dating” mobile app startup, Blink, connects people in real time, enabling live-stream video chats. The app leverages HPE Haven OnDemand face detection and image recognition APIs to enable a more human dating app experience.
RingDNA – an enterprise provider of advanced inside sales is using HPE Haven OnDemand machine learning APIs to power part of their “conversation analytics” capabilities. HPE Haven OnDemand allowed RingDNA’s developers to get up and running and explore a wide number of recipes and algorithms that were flexible and powerful enough for our enterprise customers.
Social Capital – AngelHack Global Demo Day 2015 – San Francisco city winner and startup that created an app (video) to provide human resources social assessments using the HPE Haven OnDemand Entity Extraction and Concept Extraction APIs.
Transparent – a developer participating in the 2015 World Bank hackathon challenge created the Transparent app (video) to understand and visualise government spending in Africa using the HPE Haven OnDemand OCR API to analyse and extract insights.
Available globally via the Microsoft Azure public cloud
All HPE Haven OnDemand APIs and Services are hosted on Microsoft Azure, leveraging the Hewlett Packard Enterprise and Microsoft strategic alliance around Azure, announced in December 2015. An industry leading public cloud platform, Azure ensures that developers building applications can benefit from easy access to HPE Haven OnDemand’s APIs and services with high performance and reliability from virtually any global location.
“Organisations have massive quantities of information that can hold insights into business transformation, but harnessing it can be challenging,” said Garth Fort, General Manager, Partner and Channel Marketing, Cloud and Enterprise, Microsoft. “Leveraging the high performance and scalability of Azure, HPE Haven OnDemand brings our mutual customers a compelling solution to help turn their data into value.”
Ayni – a startup that won the Hack4Europe 2015 challenge created an app (video) for facilitating cultural exchange and foreign language education using HPE Haven OnDemand. The app uses HPE Haven OnDemand’s speech recognition API to create text transcripts of live audio streams.
Blink – a “speed dating” mobile app startup, Blink, connects people in real time, enabling live-stream video chats. The app leverages HPE Haven OnDemand face detection and image recognition APIs to enable a more human dating app experience.
RingDNA – an enterprise provider of advanced inside sales is using HPE Haven OnDemand machine learning APIs to power part of their “conversation analytics” capabilities. HPE Haven OnDemand allowed RingDNA’s developers to get up and running and explore a wide number of recipes and algorithms that were flexible and powerful enough for our enterprise customers.
Social Capital – AngelHack Global Demo Day 2015 – San Francisco city winner and startup that created an app (video) to provide human resources social assessments using the HPE Haven OnDemand Entity Extraction and Concept Extraction APIs.
Transparent – a developer participating in the 2015 World Bank hackathon challenge created the Transparent app (video) to understand and visualise government spending in Africa using the HPE Haven OnDemand OCR API to analyse and extract insights.
Available globally via the Microsoft Azure public cloud
All HPE Haven OnDemand APIs and Services are hosted on Microsoft Azure, leveraging the Hewlett Packard Enterprise and Microsoft strategic alliance around Azure, announced in December 2015. An industry leading public cloud platform, Azure ensures that developers building applications can benefit from easy access to HPE Haven OnDemand’s APIs and services with high performance and reliability from virtually any global location.
“Organisations have massive quantities of information that can hold insights into business transformation, but harnessing it can be challenging,” said Garth Fort, General Manager, Partner and Channel Marketing, Cloud and Enterprise, Microsoft. “Leveraging the high performance and scalability of Azure, HPE Haven OnDemand brings our mutual customers a compelling solution to help turn their data into value.”
Haven OnDemand is part of HPE's big data platform. HPE Vertica provides advanced analytics; IDOL provides data analytics; Vertica OnDemand offers cloud-based advanced analytics, while Haven OnDemand handles big data in the cloud.
Interested?
Read the TechTrade Asia blog post about HPE IDOL
Read the TechTrade Asia blog post about HPE's big data strategy
View the full list of available machine learning APIs and services.
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