The world of mobile has drastically changed in the last couple of years. From new technologies to actual devices updates, a niche sector has developed to a point in which many experimental factors have been taken into consideration for a variety of purposes and, in fact, Artificial Intelligence and Machine Learning are two of the biggest ones. With this in mind, it’s also important to state how these technologies are being applied to sectors which are not “usually associated” with them, ranging from art to food to sports. Let’s analyse the matter in more detail with 4 examples on the matter.
Music is, indeed, the first unorthodox sphere AI is touching. Orb Composer, born as a startup initially and with the sole purpose of creating chord progressions, has evolved into a proper AI-related piece of software with DAW (Digital Audio Workstation) capabilities. Matter of fact, the entire application can now build an entire song with its sole AI engine. Is this a dealbreaker for musicians or a simple tool which will help songwriters in the future?
The automotive industry has been pretty much tunnel visioned towards two simple keywords: “driverless experience”. In fact, Pony.Ai is an AI-built software which tracks and develops IDE(s) in order to improve safety and user experience within the driverless programming. Although being still quite embryonic, Pony.ai has passed through a massive wave of investments, ranging from TESLA to Audi, raising its capitals to $350M in a couple of years.
Another important bit for what concerns AI within mobile apps would be related to the usage it has in social sharing scenarios. Applications like Uber, for example, are using artificially created social models and behaviours to track and understand which driver should be presented first to clients. Although mainly related to the mapping-side of the surroundings, this is a big confirmation of the power of AI within such field. As well as Uber, but not with the same algorithmic purposes, the Dines app, by relying on people’s tastes and suggestions, creates potential groups of people who might share the same taste in order to share a table in their favourite restaurant.
Sportlogiq is probably the most interesting thing to ever have happened to AI-based startups, as it was able to raise hundreds of millions in investment within a pretty short timeframe. SportLogiq is an analytical (in terms of players’ behaviours) tool which processes and builds reports based on the player’s movements, success and physical attributes. Although very football-focused (for now) we can safely expect this to develop and expand to many other sports in the near future and maybe to the oblivion of coaches in the longer run.
Even when being still at a very embryonic status, AI startups have proven themselves to be relevant in a world with a lot of technological requirements on the matter and, given the market signals and the range of investments mentioned above, we can safely state that the matter is very likely to grow in the nearest future.