AI’S IMPACT ON MOBILITY IN 2025
FROM THE MINUTES 2018
By 2030, AI will be fully capable of providing companies with explanations of their financial results by including external factors — or so Freddy Lecue predicts. In fact, Accenture’s Intelligent Finance System already gives explanations to auditors regarding external events leading to abnormal expenses.
Freddy breaks down AI as a set of technical approaches that collectively enable more intelligent systems, better decision-making and experiences. Over the last three decades, it has evolved in what he calls the three waves and value drivers of AI:
Automation and robotic process automation (RPA)
Development of conversations with intent extraction, speech to text and text to speech
Search and optimization, robotics, machine vision, natural language processing, information retrieval, expert systems, machine deep learning as well as knowledge representation
A LEAP OF FAITH IN AI
To benefit from such insights we need to trust AI machines, says Freddy. Because data can be used to confront challenges that pose threats to humanity, the more data we collect, the better the AI systems can become. Understanding AI is like going to a new city. You try to figure out how to navigate it: do you take the bus, the subway, a cab? You don’t really know the best mode, but once there, you have to get around, so you must try all options.