French use case : 3 Sectors that will be completely disrupted by Artificial intelligence
AI is no longer a fantasy. It’s real. Even thought we haven’t reached out (yet) the “I Robot’s Age”, meaning an AI that will have a consciousness and that will be aware of its own capabilities, it’s still a major innovation in various fields if not all of them.
Yet, in France, it’s still perceived as a threat or as a far futur. AI is not Skynet. For now, AI is just a set of tools, “technology bricks” that we train and can actually accomplish a unique task extremely well but that has no real intelligence. It can beat us at a chess game or even drive a car but that’s it. Those bricks can be assembled to increase the productivity of many workers and optimize the process of thousands of industries.
But what are the industries in France that will likely benefit the most from it ? What are the existing products and what are the use cases?
Healthcare is probably the sector that drives innovation by itself. Since it’s about our own safety and well being, it’s not surprising that states and VCs invest billions in it. Digital Health will be a fully 400B$ market by the end of 2025 according to BI Intelligence. Whether it’s aiming to fight cancer with Dr Watson or measuring blood’s glucose rate with Google connected lenses, they all are doing massive investment in this area.
France is also aiming to become a global leader, and is not only using its technical expertise but also its extremely talented researchers and doctors to improve healthcare. It seems that a great way to do that is by using artificial intelligence.
AI-based applications could improve health outcomes and quality of life for
millions of people in the coming years—but only if they gain the trust of doctors, nurses, and patients, and if policy, regulatory, and commercial obstacles are removed. Prime applications include clinical decision support, patient monitoring and coaching, automated devices to assist in surgery or patient care, improved diagnoses and management of healthcare systems according to a recent french study.
For instance, Dreamquark is using deep learning to improve diabetic retinopathies detection by feeding its algorithms with millions of radiographies. Or one of my favorite startups, Tilak Healthcare: it offers to follow psychiatric and mental diseases thanks to games on smartphones and tablets. Their AI detects an irregularity in the patient’s behavior to help with diagnoses.
Between Tesla, Uber, Google and the insane acquisition of Mobileye for 15B$ earlier this year, Transportation is on top of all trends. French corporates such as Valéo which will open a research center for artificial intelligence and “deep learning” with the aim of developing technologies that can be applied to autonomous vehicles or even Michelin that has already created its own, contribute to expand AI impact on transport.
The applications are already impressive. AI will improve transportation by creating autonomous vehicules for sure but also enhanced human machine interfaces and will improve decision making of connected objects by embedding AI inside.
For example, Navya or Easy Mile that respectively raised 38M$ and 15M$ are building autonomous and electric shuttles dedicated to smart mobility. Adok created a technology that turns any surface into a interactive display, reactive to tactile inputs the same a tablet would. Finally, Snips created an AI-powered voice assistant you can add to your products. It runs on-device and is Private by Design.
In the US, Education is probably one of the most innovative sectors of all. It’s not a coincidence that the state budget dedicated to it was almost 68B$ for 2016. In France, the market is less mature but still present.
There’s not doubt that AI will bring massive changes on the way teachers educate, on how we learn and how we choose a job. From teaching robots to adaptive learning there are some incredible use cases and startups that operate in this area.
For instance, Domoscio and Mereos are start-ups specialized in adaptive learning solutions that combine cognitive science, big data and algorithms to present learning solutions tailored to each.
Impala, is a start-up that uses artificial intelligence to improve school guidance. The approach is simple: Students have been where you are, people with the same interests and sometimes the same desires. Why not capitalize this data to help people find their path? In the same way, Clustree guides HRDs in their business decisions through artificial intelligence, which makes it possible to capitalize on the internal and external data of companies.