David Trossell on Muck Rack

David Trossell

London, United Kingdom
As seen in: Information Age, Data Center Dynamics, Director magazine, CloudTech, Digitalisation World, SecurityBrief UK, Health Tech World, IT Brief UK, CFOtech UK, ChannelLife UK and
Covers:  Disaster recovery, GDPR, cyber security, AI, machine learning, STEM, cloud networking, data centre management, WAN technologies
#WAN Acceleration for @Oracle @Dell @IBM @AWSCloud @NetApp & more! #DataCentre #GovTech #FinTech #HealthTech #DRaaS #BUaaS #AI #MachineLearning #GDPR #STEM

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David Trossell’s Biography

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David Trossell is CEO and CTO of award-winning data acceleration company Bridgeworks, which has developed products such as PORTRockIT. It is the winner of the DCS Awards 2019 for the Data Centre ICT Networking Product of the Year category; and it won the DCS Awards in 2017 and 2018.

Articles

Benefitting from AI-Enabled Mitigation of WAN Latency

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By David Trossell
| MSP Channel Insights
Like many things, artificial intelligence has two sides to its coin: it can be good, and it can be bad. For example, it can be used by bad actors to hack and steal data and, on the plus side, it can be used to intelligently protect and automate networks and systems. Another benefit, thanks to WAN Acceleration, which deploys AI, machine learning and data parallelisation, is the ability to mitigate the effects of latency and packet loss.
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Data Breach and Cyber-Attacks: A Matter of When and Not If

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By Trudy Darwin, David Trossell
| 4bridgeworks.com
Bridgeworks features in this article from Digitalisation World to discuss why cyber-security complacency can lead to lawsuits, GDPR fines and damaged customer and commercial relationships. April 22, 2026 Do you remember the time when, as a teenager, you thought and acted like nothing could ever hurt you, when speeding on a motorcycle, or in a car, or anything else?
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WAN Networking: shift to the edge?

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By David Trossell
| MSP Channel Insights
Wide Area Networking is shifting towards AI-driven, edge-based architectures. In many cases this may be to mitigate latency and packet loss to gain higher performance, but they bring with them new challenges related to complexity, security and reliability. While artificial intelligence is increasingly being used to manage them, it’s often an afterthought and burgeoning AI workloads must cope with a rapid, complex shift from legacy infrastructure to SD-WANs and SASE.
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