Enterprise Edge Connectivity Strategies and Leadership - 2020

Cliff Grossner

Senior Director, Cloud & Data Centre

Cliff heads the cloud and data center research practice at Omdia. He is responsible for research quality and his research focuses on cloud services, IT, and physical data center infrastructure. Cliff has over 25 years’ industry experience encompassing scientific research, market analysis, corporate and product strategy, product management, and marketing. 

Cliff joined Omdia through IHS Markit Technology and Infonetics acquisitions. Previously, he held senior positions in the information and communications technology industries, including strategic marketing for Alcatel-Lucent's enterprise network business and tenures at Bell Labs and Nortel. At McGill and Concordia universities in Canada, he worked as a research scientist and faculty lecturer specializing in AI, distributed computing, and computer architecture. He earned his PhD at McGill University, his Master of Science degree in computer science at Concordia University, and was awarded national scholarships to support his graduate work. He holds over 10 patents.

Matthias Machowinski

Practice Leader, Workspace Services

A leading expert on enterprise networking and communications technologies, Matthias Machowinski has 14 years of experience as an analyst in the telecom and datacom industry. He specializes in data and communication technologies deployed by small/medium businesses (SMBs), enterprises, and public sector organizations. 

His areas of focus include emerging network-use cases, network technologies, architecture adoption rates, wired and wireless convergence, the effects of downtime, and end-user spending trends. He is the author of numerous market share and forecast reports, studies, and opinion pieces on enterprise routers, Ethernet switches, wireless LAN equipment, and video conferencing equipment.

He is also the lead author of the Enterprise Networking and Communication Equipment Vendor Scorecard, the only report of its kind to utilize a data-driven model that incorporates vendor performance and direct buyer feedback to determine vendor position in the marketplace.