Image recognition, speech to text, natural language translation, video transcription from Google and IBM Watson Cloud AI Services now possible from within Sinequa’s platform.
Cognitive search and analytics platform provider Sinequa has announced the addition of advanced artificial intelligence capabilities to its platform. The new capabilities use Google Vision and Translate, IBM Watson Alchemy for Image Recognition and Speech-to-Text. These additions are designed to compliment the platform’s integration with Microsoft Azure Media Services.
The new AI capabilities benefit from the enormous amount of text and images available on the Web, far beyond anything a single enterprise could have available internally, said the company in its announcement. Using the new features, customers will be able to easily translate text in a variety of languages, analyze and tag images, and transcribe video, which will improve the Sinequa Logical Data Warehouse.
“Images, audio and video data are an increasing share of data most organizations have to deal with. Having an open platform to add capabilities to handle these rich-media contents easily and effectively makes perfect sense for enterprise applications like Sinequa’s Cognitive Search & Analytics Platform,” said David Schubmehl, IDC Research Director for Cognitive/AI Systems.
The company also announced that it has broadened its support of the increasing volumes and diversity of enterprise data retained in Cloud, Hadoop, and on-premise enterprise applications with its growing collection of over 150 smart connectors.
“Depending on the data types and its sensitivity, organizations in key information driven verticals require the flexibility to decide what data resides on-premise vs Cloud. The ability to ingest, understand, organize, and query digital content from multiple data sources whether on-premise or in the Cloud will be a key differentiator for enterprise solutions,” Schubmehl added.
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