Generally Available: Data Discovery using Trainable Classifiers

by Contributed | Jun 17, 2022 | Technology

This article is contributed. See the original author and article here.

Earlier this year, we introduced 9 new out-of-box Trainable Classifiers for sensitive business document discovery and classification. These include Finance, IT, IP, Tax, Agreements, Healthcare, Procurement, and Legal Affairs.   

To make the discovery of your sensitive information easier, we are introducing data discovery with Trainable Classifiers in Content Explorer. This means that your sensitive documents that are classified by Trainable Classifiers can be viewed even if they are not used as conditions in an auto-labeling policy. This includes both pre-trained out-of-box models as well as custom trainable classifiers.  

For each classifier, you can drill down from the location to the specific document that has been classified. If the classification is not what is expected, there is an opportunity to provide No-Match feedback so that we can further improve our classifiers. We currently have 11 out-of-box business document classifiers available for this feature with another 23 in private preview and another 30 that will be available for preview shortly.  

These Trainable classifiers can be used for the discovery and classification of sensitive information across SPO and ODB by clicking on the respective classifier/category in Content Explorer.  

Some of the Trainable Classifiers we plan to provide as built-in out-of-box include 

• Intellectual property and trade secrets such as Project Documents, Standard Operating Procedures, Software Product Development Files, Network Design documents 


• Business-critical documents such as M&A files, Business Plan, Strategic Planning Documents, Meeting Notes Statement of Work, Financial Statements, Manufacturing batch records, Customer account Files, Market research reports 


• Sensitive business content as part of daily business operations such as Payroll, Invoice, Statement of Work, Financial Statements, Statement of Accounts, Employee Performance Files, Facility Permits 

Customers can opt-out of this feature by raising a support ticket with this request and this feature can be turned off for their tenant. 

Thanks for reading!

Minimizing Shift Change Overhead with Clinician Soundbites

by Contributed | Jun 16, 2022 | Technology

This article is contributed. See the original author and article here.

Minimize handoff/huddle times between shifts with Soundbite in Microsoft Teams.

“Traditional written communications isolate and inconvenience many employees resulting in a disconnect.

With Soundbite™ for Microsoft Teams, you can show empathy and create a sense of purpose by sharing personalized short-form content with frontline workers” and clinicians. – Soundbite™ for Your Frontline Workforce

Watch the video below to see how “Dr. G.” demonstrates the use of clinician soundbites to minimize overhead and churn for already overworked clinicians.

To learn more about the use of Microsoft Teams and Soundbite leverage the resource links below. You can also reach Soundbite directly at https://soundbite.ai/ and/or contact you Microsoft account team.

Resources:

• Soundbite home page


• Microsoft Teams for Online and Hybrid Work | Microsoft Teams


• Welcome to Microsoft Teams – Microsoft Teams | Microsoft Docs


• Overview of teams and channels in Microsoft Teams – Microsoft Teams | Microsoft Docs


• Best practices for organizing teams – Microsoft Teams | Microsoft Docs


• Get started with Teams for healthcare organizations – Microsoft Teams | Microsoft Docs

Work on the Clinician Soundbites was done by Jasmine Hoegh, Erin Spencer, and Michael Gannotti

Thanks for visiting – Michael Gannotti   LinkedIn | Twitter