Amplifying human ingenuity with AI
“AI will now be infused in almost every application that you have in an enterprise… [it] is the ultimate evolution that currently impacts our organization.” Eneric Lopez, Microsoft France’s Director of Artificial Intelligence, does not mince words. And when it comes to the impact of AI, he’s clear that we are in the midst of a massive transformation in how data is being manipulated.
Business transformations: reasoning, understanding and engaging
Lopez employs three core scenarios when engaging with businesses in their AI transformations, and the metrics suggest potentially deep implications:
- Digital agents: 95% of online and telephone customer interactions will be powered by AI bots by 2025;
- Intelligent applications: 75% of apps are likely to already be infused with AI as of the end of 2018;
- Business processes: 85% of companies will be using AI to enhance and transform their business processes by 2020.
The power of suggestion
Artificial intelligence creates opportunities and solutions for transformations in mobility modes, both urban and long haul. Some of these optimization tools are already in existing apps:
- Optimized transport planning: Tracking the movement of assets and fleets (trains, buses, etc.);
- Assisted traveller experience: Recommendations for route optimization, frequency management, fare incentivization;
- Predictive maintenance: Recommendations for refueling or for maintenance needs.
AI meets urban mobility
The four pillars of urban mobility and how AI affects each one:
- Connected citizens: A system built on a multimodal mobility options with simple door-to-door journey planning and integrated payment processing.
- Connected systems: The implementation of a single, common view of a city’s mobility patterns through data-sharing from silos and systems.
- Intelligent journeys: Mobility options that adapt in real-time to the user and the city, including dynamic pricing and optimized re-routing.
- Intelligent assets: Proactive mobility infrastructure that can alert operators to possible physical failures or trending data anomalies.
Data monetization: The crucial asset
To make smarter and more agile advancements in all aspects of technological innovation, the collection and sharing of data is crucial. “What is the cost of capturing data? Who already owns the data and are they willing or not to share it? These are problems we’re facing,” concludes Lopez.
- Appoint a “neutral player” who aggregates data from providers;
- Explore common ground among stakeholders and define how data-sharing between competitors can help to access new market segments and revenues;
- Define who the typical data owners are, i.e. Google, Waze, etc., and create programs to let smaller players access the data;
- Develop multimodal mobility models that include KPIs and pricing models based on age, distance traveled, etc.;
- Experiment with multimodal monthly per-use billing plans.
This article is based on the following working session given at the 2019 Movin’On Summit: “An ecosystemic approach to deploying AI in urban mobility” by Eneric Lopez (Microsoft France), Catherine Diacre (Microsoft France).