In theory, the term artificial intelligence (AI) – or Computational Intelligence – refers to intelligence exhibited by machines. However, colloquially, the term is applied when a machine imitates the cognitive functions associated with human abilities, such as learning and problem solving.
The concept in and of itself is very interesting, though a bit complicated to understand…
If we look at the theme from a practical point of view, it is easier to visualize how people, both in their personal lives and in business, make use of and live alongside artificial intelligence.
According to a survey carried out by Hubspot earlier this year, 63% of people don’t know they are users of artificial intelligence. That’s how it is, every day you live and interact with various objects that enlist the use of artificial intelligence without realizing you are doing so. I can assure you, artificial intelligence shapes your day-to-day life.
AI in Your (Very) Personal Life
Some of the clearest examples are “Smart Date” applications, such as Tinder and Match.Com, which facilitate contact, eliminate the “cost” of being rejected, and amplify the quantity of people that you can meet. The new app Bernie was developed with the goal of incorporating AI to be more precise: it browses all the dating networks and suggests contacts that have the greatest possibility of success, based on user conversations.
Artificial intelligence has been associated with an infinite number of areas, including exercise technologies – Emotional Personal Trainers already exist. One of the newest examples is Vi: earphones with biosensors and AI that aim to monitor, get to know, and encouragingly challenge the user. With the data collected, Vi can detect your current mood and situational context in order to adjust it’s demands, depending on the moment and circumstances.
Considering the actions of daily life, we find other cases where we use AI in our lives:
- Siri: One of the best known personal assistants, it automatically links all user information and uses machine learning to learn and become more intelligent.
- Gmail: Uses machine learning to control unwanted email – or spam – in the inbox. The system deciphers and learns from past examples, using them to make future decisions.
- Tesla: Designs intelligent automobiles with predictive abilities, including models with the possibility of driving on autopilot and updating continuously via the cloud.
- Amazon: Through its algorithms, this technology is able to understand and predict, with great precision, your likes and purchasing habits
- Netflix: Using the analysis of hundreds of records and compiling material of what you like to watch, Netflix’s predictive technology (algorithms) is capable of recommending movies, tv series, or documentaries
- Facebook, Spotify, Google Maps: other solutions we use daily that incorporate this type of technology.
AI in Your Business
Carrying this over to the corporate world, we can find many concrete cases where companies make use of artificial intelligence.
The easiest case to see is found within the area of customer service, where “robots” (via web chat o social networks) have the ability to respond automatically to a variety of common questions: FAQs, basic transaction enquiries, and store locations, among others.
These types of solutions improve response time and, on many occasions, accuracy when the question is replicated. When AI carries out repetitive and simple tasks that usually performed by humans, workers have more time to focus on complex challenges with higher value that are awaiting their attention.
Those who benefit the most from the presence of this type of technology are community and account managers. Having a machine available that helps them to read, categorize, prioritize, as well as receive alerts about certain situations, allows them to allocate their time to other tasks.
Recent work by Accenture maintains that the advances in artificial intelligence, on their own, can double the growth rate of developed countries between now and 2035, because their impact is completely transversal – something that doesn’t happen in all exponential technologies.