Nokia
Nokia wanted to showcase the innovations emerging from its strategic consulting arm with a cutting-edge product reveal at Mobile World Congress in Barcelona. The hero of the experience was to be their recently developed machine learning platform that dramatically reduced software development costs and timelines. Shelton Fleming created an interactive experience featuring an object recognition table to enable complex, multi-tiered storytelling.
Nokia has a multi-billion euro business in enterprise solutions software design and implementation. This innovative machine learning platform was its latest, groundbreaking innovation that enables code and process learnings from one software project to benefit a completely different project. The result is faster execution of transformation programmes. Code is developed more quickly. Fewer coders are deployed. Testing time is shorter, as is time to market. With fewer resources deployed, the platform delivers dramatically lower costs, and lower emissions.
Through a series of interactive pucks, each representing a different software development project, the technology allowed us to demonstrate the shared commonalities between various applications. For example, it’s possible to show how code for a smart home could also be used on a smart car application.
The experience was showcased in Nokia’s booth at MWC and then permanently installed in their customer centre in Helsinki.
Feedback was extremely positive, with an 87% shift in understanding of the power of machine learning in software development, among CIO and CTO visitors in the pre and post survey results.
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Strategic planning: Co-developing a clear vision, narrative, and theme for the event.
Digital experience design: Harnessing creative technologies, user-experience (UX) and user-interface (UI) design, with navigation that uses rotational menus.
Content development: Storyboarding, copywriting, motions graphics design and digital animations.
On-site technical support: Holistic onsite management of the experience, including technical set-up, operation, demonstrator rehearsals, and back-up.