Applied AI

a modern train going down the track with AI chatbots running on smart phones running alongside the train in a futuristic landscape

Modular AI Chatbots: The Future of Transportation Surveys is Already Here

Artificial Intelligence, Applied AI, Customer Experience / By

The transportation sector stands at a critical juncture. As cities grow more complex and rider expectations evolve, traditional survey methods—paper forms, phone calls, town halls—increasingly fail to capture the nuanced feedback needed for smart decision-making. Enter modular AI agents: a breakthrough approach that’s transforming how we gather, process, and act on transportation data. This innovation […]

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ai meets human touching fingers on a augmented brain showing one half digital the other have human brain

Future of Work AI – 2025 Update

Artificial Intelligence, Applied AI, Automation, News / By

Executive Summary The landscape of artificial intelligence and automation has transformed dramatically since the emergence of generative AI in late 2022. While concerns about widespread job displacement persist, recent research reveals a more nuanced reality: The future of work AI is reshaping work rather than simply eliminating it, with significant opportunities for those who adapt

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Infrastructure Asset Management – What’s Next?

Artificial Intelligence, Applied AI, News, Transportation Systems / By

Next-gen infrastructure asset management technologies are critical to improving the margins of any operations. When it comes to industries that rely on expensive assets and infrastructures to enable operations, keeping assets functioning at top performance is critical to the bottom line. Planned Maintenance Is ‘Old School’ Planned-maintenance activities have been the core of the infrastructure

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Deep Learning assisting doctors to Detect Coronavirus (COVID-19)

Applied AI, Artificial Intelligence, Deep Learning, News / By

Initial findings published by researchers from Tel-Aviv University and RADLogics, show promise through the application of Deep Learning CT Image Analysis to assist doctors in detecting the deadly Coronoavirus (COVID-19). One of the challenges of rapidly developing a DL algorithm is the phases through which the algorithm must progress: Data-collection, Training, and Testing. Each of

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