Sinequa, a leader in cognitive search and analytics, announced the addition of advanced artificial intelligence (AI) capabilities to its platform. These capabilities leverage Google Vision and Translate as well as IBM Watson Alchemy for Image Recognition and Speech-to-text. These additions bolster related capabilities already in place with the existing integrations for Microsoft Azure Media Services for image and video treatment.
The openness of our platform allows us to quickly and easily integrate best-in-class third party technologies like speech-to-text, image recognition or video treatment to offer a comprehensive end-to-end solution to our customers. Dealing with additional rich-media content enhances the knowledge accumulated within our platform, recognizing topics and concepts in text and images while establishing relationships between them,” said Laurent Fanichet, vice president of marketing, Sinequa. “More importantly, we leave the choice to the customers to decide whether they want/need to extract value from large volumes of structured and unstructured data on-premise, or in the Cloud or both, which is quite unique.”
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. Sinequa customers can now easily translate text in a large number of languages, analyze and tag images and transcribe video conversations, enriching the Sinequa Logical Data Warehouse (LDW) with the results.
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. “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 in general and Sinequa in particular.”
Broad Connectivity to On-Premise Enterprise Applications, Hadoop and Cloud Environments
Sinequa continues to broaden its support of increasing volumes and diversity of enterprise data retained in Cloud, Hadoop and on-premise Enterprise Applications with a constantly growing family of 150+ smart connectors.
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