Linda Forrest

Operations Manager & HR Lead at Archangel Imaging

Linda Forrest has a diverse work experience spanning various industries and roles. Linda currently works as an Operations Manager at Archangel Imaging, where they deploy smart machines to protect remote assets and staff. Prior to this, Linda served as the Chief Operating Officer at The Academy of Chief Marketers and Superbrands UK, where they developed strategies, managed service delivery, and oversaw departments such as marketing, finance, and operations. Linda also worked as a Sales and Marketing Manager at West Essex Golf Club Limited, where they led business development efforts and implemented a new CRM system. In previous roles, Linda held positions such as Business Relationship Manager at WWRHR Ltd, Company Secretary / Club Manager at Buckingham Golf Club, Operations Manager at The Work Playground, Office Manager at Health Professionals Ltd, Executive Assistant at Nouvita Healthcare, and Store Manager at Starbucks. Linda's experience includes driving operational improvement, developing marketing strategies, managing events and sales, and building strong client relationships.

Linda Forrest has a BSc (Hons.) degree in International Culinary Arts from the University of West London. Linda also holds a BTEC National Diploma in Arts and Design (Level 3) from Oakland College and an NVQ Level 3 in Patisserie from Barnet College. In addition, Linda has completed the Complete Digital Marketing Course from Udemy and the LGBTQ Ally Training Workshop from Stonewall. The specific start and end years for their education and the obtained months and years for their additional certifications are not provided.

Location

Beaconsfield, United Kingdom

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Archangel Imaging

Archangel Imaging provides software and hardware options to make machines smart enough to become team mates you can trust to do their part, rather than tools you need to constantly manage. Veteran founded and owned we focus on supporting users in remote, exposed on challenging environments, including police, service personnel, first respondersand NGOs. We’re active in both the UK and US. Hybrid human-machine teams will be much more effective in protecting assets, people & planet at scale. For that to happen, we need our technology to be able to operate without depending on human attention or on vulnerable infrastructure. We specialise in advanced artificial intelligence (AI) for cameras and GNSS-denied navigation for manned and unmanned systems. Real time remote monitoring is difficult to achieve with people alone. The areas are often huge and distant, meaning hard-working maintenance, security or safety staff have poor coverage with long response times. Pipeline security, anti-poaching, asset integrity monitoring and border patrol are a few examples. Whilst we (humankind) have developed an impressive array of technologies, including drones and ground sensors, these remain tools to use at long range. These tools are dependent on: 1) human attention to make best use of them and 2) infrastructure to support them, with communications and positional information in particular. GPS has become increasingly easy to jam and to spoof. Not only that but the orbital infrastructure itself is at direct risk of vandalism.Archangel Imaging provides a complimentary solution stack to enable human-machine team work in the real world. These make machines smarter, more resilient in a changing situation and easier to work with in a human workflow. Xnaut AI co-pilots enable existing uncrewed drones, boats and rovers to make mission level navigation decisions based on live observed context. Designed to work when GPS is being spoofed or jammed, Xnaut GENIE Uniquely combines over 50 navigation methods to ensure reliable, resilient and accurate location data is provided to the system's autopilot. Argonaut smart cameras have been designed to operate independent of infrastructure. The camera and tower products are fully self-contained, with power, communications, sensors and compute. Cerebella human-machine teaming mission management software integrates diverse machines into people-centred geospatial workflows.


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11-50

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