Cloud AI Data Integration & ML Research Platform

Challenge

CERN, birth place of the internet, has an immensely complex and critical communications environment. They needed to improve and centralise the communications process, speed and efficacy for everything from today’s menu to a radioactive emergency.

They wanted to ensure the right people could post or receive contextually significant data quickly and easily, via the best platforms, in the most secure and optimal manner.

Our approach

On site at CERN in Switzerland, we carried out a full UX Discovery phase. We explored and established the current communications technology, drivers and users. We identified and interviewed representatives from every user type, including the Director General, Head of Security, Lab Leads, University Leads and to on site staff, to establish a matrix of communications requirements, communication cadence, best technology and security levels, for publishers and readers.

We used this to establish the required scope of the solution and get buy in from stakeholders that our solutions were efficacious, valuable, innovative and achievable.

Outcomes

We produced and delivered a full UX Discovery report, detailing the user types, all communication origin points, all communication types, all communication targets and all useable technologies. From this we created a process and service design blueprint outlining the new process and users. It allowed anyone to be securely authorised to publish important information to appropriate recipients, via real-time available mediums. A single group of ‘Publishers’ were identified to take responsibility for real time authorisation for critical comms and the more mundane information was automated (eg canteen menu for the day).

Benefits

CERN now have the process to publish critical communications in near real time and the facility to bring all current and future communications online through one interface.

We architected an extensible, privilege based communication interface that allows the creation, review, approval and publication of all communications across the entire CERN campus at every level, using a single sign on.

OTHER STEM & ENERGY CASE STUDIES

Cloud AI Data Integration & ML Research Platform

Elsevier wanted to build a cloud-based data platform to help life sciences companies around the world overcome the challenges of modern R&D, discover new interactions and outcomes, by enriching and harmonising their own, proprietary and external data. They wanted to deliver this in an easy to search, secure, AI-ready, machine learning environment

Alumni Community Tool

The Royal Academy of Engineering (RAEng) wanted to increase awareness and membership by architecting a solution that would gather all their past/present alumni, grant recipients and achievement scholars together to share experience and network.

BP - Internal staff training application

The Procurement and Supply Chain Management (PSCM) dept sponsored the production of an online training tool to help staff further enhance existing skills or help them attain new ones.