Ben Howard Webinar

Title: It’s Time to Ditch Excel – Create Proper Plans with Microsoft Project & Microsoft Planner

Speaker: Ben Howard, MVP, Applepark Ltd, UK

Date and Time: Wed, Sep 11, 2019 11:00 AM – 12:00 PM CEST

Webinar Description: Microsoft Project and Microsoft Planner are THE Microsoft tools you should be using to create and track projects, not Excel. In this session I’ll show you how to wean yourself off Excel and towards a tool that’ll give you better plans, is more collaborative and is easier to track. Depending on what you need out of a project plan, Planner, Project or a combination of both (yes, Microsoft have provided a level of integration) will provide a better solution than Excel. Join me in this session, understand whether Planner or Project is the right tool for you, and begin to take back control of your projects! 

Key benefits of attending:
– Concrete examples of the use of Planner and Project 
– Kanban boards and reports in Planner 
– Using Project in an Agile environment and great reports! 

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Gokan Ozcifci Webinar

Title: Mastering Microsoft Teams

Speaker: Gokan Ozcifci, Microsoft Regional Director, MCT, MVP, Neoxy Consultancy, Belgium 

Date and Time: Wed, Sep 25, 2019 3:00 PM – 4:00 PM CEST

Webinar Description:
1) Be prepared for an overview of Microsoft Teams, examples of how to get started with Microsoft Teams, best practices for managing different scenarios, and how SharePoint and OneDrive for Business interact with Microsoft Teams. 

2) We’ll cover how to plan, deliver, and operate Microsoft Teams for Groups, Whiteboard, meetings, notes, DLP, Roles and Permissions & Monitoring Usage and Quality. 

3) If your organisation is currently considering deploying or just starting your journey to Microsoft Teams, this session is for you as we’ll consider everything from A to Z. 

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Title: Secure Multiparty Machine Learning with Azure Confidential Computing

Speaker: Stefano Tempesta, Microsoft RD (Regional Director) and MVP, Avanade, UK 

Date and Time: Tue, Dec 17, 2019 11:00 AM – 12:00 PM CET

Preserving privacy when processing data from multiple sources with machine learning is always a challenge. Organisations may want to perform collaborative data analytics while guaranteeing the privacy of their individual datasets. Combining multiple data sources to support a better algorithmic outcome improves accuracy of prediction, but it may come at a cost to confidentiality, if sensitive information is not accurately protected. 

Azure Confidential Computing adds new data security capabilities to the cloud and specifically to machine learning processing. By using trusted execution environments (TEEs) to protect your data while in use, with confidential computing, you can use machine learning algorithms across different organisations to better train models, without revealing the processed data. 

In this webinar, Stefano Tempesta, Microsoft Regional Director and MVP on AI and Business Applications, will present the benefits of Azure Confidential Computing in an ML scenario, where two separate health institutes collaborate on data analysis and prediction using Azure Machine Learning, and still mask any sensitive information to protect the privacy of their patients. 

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