Smarsh introduced voice recording, transcription and archiving support for Microsoft Teams. Already providing text-based capture and archiving for Teams, Smarsh now enables clients to adopt another mode of communication and collaboration to help regulated organizations meet compliance and e-discovery obligations. Teams audio files can be transcribed in over 120 languages and regional dialects. Once ingested into Smarsh Connected Archive solutions, content is automatically indexed, stored in immutable format and accessible at any time in a search-ready state. Customers can play back voice calls (including those made within and outside of Teams meetings), and search voice transcriptions and call metadata alongside all of the content within their archive. They can also extend Supervision and Discovery workflows to include Teams voice content.
Beyond support for voice files and transcription, Smarsh captures content in one-to-one chats, multi-party chats and persistent channels including edits, deletes, replies, emojis, GIFs, files, stickers and links. Smarsh also captures content across other channels, including email, mobile text messages, collaboration platforms, social media and voice channels. Content can be ingested into Smarsh Connected Archive solutions or can be exported to an existing archive or enterprise content management (ECM) system.
MarkLogic Corporation announced Data Hub Central, the newest capability of MarkLogic Data Hub Service. Data Hub Central provides a simple user interface for self-service data integration where developers, architects, and business analysts can collaborate to integrate, explore, analyze, and share consistent data assets tailored to business needs. With MarkLogic’s built-in search capability, Data Hub Central enables analysts to “shop” for the exact data sets needed to solve business problems. Data sets can be saved, shared, and re-used in popular BI tools – without having to make an IT request.
Data Hub Central spans the integration lifecycle in a single interface. It enables architects who are tasked with overseeing data modeling and governance to collaborate with business analysts to define data models and relationships in the language of the business. Systems analysts, who understand source systems and data, can go to Data Hub Central to look at and adjust the model. As the model is adjusted, data can be loaded from multiple source systems to see how it maps to the target model, as it is changed. Developers have a centralized source of data assets and do not have to wait on lengthy ETL cycles to get access to the data. While Data Hub Central provides no-code capabilities, it is also extensible. While data experts are using it to integrate the data, developers can write re-usable components that extend and customize it. Because Data Hub Central runs as part of MarkLogic Data Hub Service, it has the same enterprise data security capabilities enforced at the data layer.