Tuesday, April 16, 2024
HomeAvePoint CEO's BlogAvePoint Bridges Box and SharePoint

AvePoint Bridges Box and SharePoint

AvePoint CEO of Australia and New Zealand and SVP of Corporate Development Garth Luke and I recently had the opportunity to discuss the release of DocAve Cloud Connect as well as how we’re integrating Box and SharePoint for a CMSWire article.

AvePoint has seen a demand for integrated collaboration solutions across platforms like Microsoft SharePoint, Box, and even legacy content platforms like Documentum for some time – and there are many enterprise customers using both SharePoint and Box. When it comes to improving enterprise collaboration, business users need the ability to collaborate with one another on content regardless of the location or type of repository being used.

As an enabler of collaboration across data silos, AvePoint’s aim is to help enterprise customers stitch together a simplified collaboration strategy across multiple data platforms. With DocAve Cloud Connect, we are now helping connect business users seamlessly across Box and SharePoint, allowing for easier and more natural collaboration in the cloud.

To read more about our work with Box and the release of DocAve Cloud Connect, please visit CMSWire.

To learn how DocAve Cloud Connect seamlessly integrates your collaboration platforms, please visit our website.

You can also watch a discussion I had with Box Co-founder and CEO Aaron Levie about DocAve Cloud Connect, enterprise collaboration, the cloud, and mobility below:

Dr. Tianyi Jiang (TJ) co-founded AvePoint in 2001 and has served as the organization's Chief Executive Officer since 2005. TJ is responsible for overall strategy and direction of AvePoint, which includes product innovation, investor relations, and business development. He is focused on delivering value to customers, partners, shareholders, and the AvePoint team, every day. A recipient of Ernst & Young’s Entrepreneur of the Year award in New Jersey in 2010, TJ received both B.S. and master’s in electrical and computer engineering from Cornell University, and a Master of Philosophy and PhD in Data Mining from Department of Information Systems, Operations Management, and Statistics, Stern School of Business, New York University.


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