Sensory Inc. announced the integration of its TrulyNatural embedded speech recognition software within the latest public beta release of Zoom Rooms for Android, iOS, MacOS and Windows. Powered by Sensory, voice commands are now supported on all Zoom Rooms platforms. With this update, Zoom-native voice commands support expanded functionality, with all voice commands being processed locally, never in the cloud. Zoom Rooms participants can now use their voice to ‘wake’ the room system by saying ‘Hello Zoom’, as well as use commands such as ‘start meeting’, ‘leave meeting’, ‘check in’ and more, allowing organizations to create safe, private, and effective hands-free meetings.
TrulyNatural is Sensory’s deep neural network-based, embedded speech recognition platform with natural language understanding. Zoom and Sensory have worked together to leverage the capabilities of TrulyNatural to create domain-specific recognizers designed to handle common voice requests for controlling meetings. They have also developed more complex voice tasks like alphanumeric recognition for using voice to enter meeting IDs and passcodes.
This week we have articles by Sachin Gupta, Panos Moutafis, Matthew J. Schneider, and Dan McCreary, and news from Bloomreach, SparkCognition, Neeva, MerlinOne, and Solo.io.
Opinion / Analysis
To protect consumer data, don’t do everything on the cloud
Sachin Gupta, Panos Moutafis, and Matthew J. Schneider team-up to describe a high-level approach to employing edge computing to reduce risk and dependence on consumer data use. A good read for senior management teams.
Edge computing, in which data is processed locally on hardware instead of on the cloud, can help them do just that by implementing three critical design choices. The design choices begin with how to think about data collection and extend to the actual data processing. They are: 1) sufficiency, or a focus on only must-have data; 2) aggregation, or lumping data together to produce group insights; and 3) alteration, or making minor changes to the data to hide an individual’s identity while minimally impacting the accuracy of insights.
… But how does this tech actually work, and how can companies who don’t have Apple-sized resources deploy it?
Dan McCreary predicts the arrival of a new discipline based on the availability of data stores of enterprise knowledge graphs to increase data analysis productivity. To get there, he argues we need to go beyond current approaches of data warehouses and feature stores to building…
…a set of tools for analysts to connect directly to a well-formed enterprise-scale knowledge graph to get a subset of data and transform it quickly to structures that are immediately useful for analysis. The results of this analysis can then be used to immediately enrich a knowledge graph. These pure Machine Learning approaches can complement the rich library of turn-key graph algorithms that are accessible to developers.
What the heck is a Data Mesh?! A bit technical. This is a critical look at Zhamak Dehghani’s original two posts (links included) and all are worth a read for the seriously interested.
The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.
