Artificial Intelligence

Artificial intelligence (AI) and robotic process automation (RPA).

The year 2020 foresees notable advances in hyper-automation, combining RPA, intelligent business management software and AI to automate processes.

Artificial intelligence is called to replace humane routinary tasks, allowing us to spend time on creativity.

A machine is already capable of performing personal tasks and others that require knowledge, perception and applied logic giving sense to a typically predictive task.

The AI is a five-year-old child with an elephant memory, he still has a lot to learn, but he advances forward with pace.

At Telefónica Servicios Audiovisuales, we work closely with leading Spanish developers in Artificial intelligence technology, 100% focused on the world of Broadcast and its day-to-day problems. Companies like Etiqmedia give grounded solutions and state clearly that today there is no magic AI that perfectly detects a plain resource and catalogs it without human intervention, but that they are solutions that help the documentary maker or journalist in the daily indexation of certain contents. No doubt a day will come when AI grows and becomes a beneficial teenager, but right now, it is still a child that needs to grow and learn a lot.

Another example of our surroundings where AI is being used is to improve the encoding of a signal to be transmitted, companies like Netflix are already using it.

It is also used to censor and control sensitive content, which seeks publication as quickly and directly as possible, but without human intervention that controls and ensures compliance regarding the values ​​of the production or strategy of the audiovisual company.

Other uses are media analysis and advertising, for example, how many times a person or brand has been named on a television channel, radio, etc.

In the future, Hyper-personalization thanks to AI will measure emotions from biometric sensors and environmental indicators that will be a key factor for advertising, where technology is increasingly required to define the target of a campaign.

Machine Learning

Machine learning is how AI learns, the “intelligence” of the machines begins to have practical use cases and for this, it is essential to “teach them”.

Machines and their intelligence today enable very efficient Workflows.

The AI is possible in our time thanks to the power of the processors, the AI exists since the 70s, but then there was an important limitation caused by the hardware, unable to process all the information.

* TECHNOLOGY must simplify the life of the CREATIVE, of the THINKER

Beyond the applications and uses that can be given, there is an important element to keep in mind that it is ethics and philosophy, something that a machine is far from being able to do on its own, and that is why there will increasingly be a need to have necessary programmers who understand these human sciences, to be able to offer that humanity that is sought in machines and AI.

Mackenzie & Company says that in 2030 the AI will do the job of 73 million people (one-third of US workers), especially workers with an average salary, where an investment in technology for its replacement is profitable. In the low salary band, it does not compensate for the investment and in the high band, there is a limitation in reproducing the skills of an artistic work or a managerial position, it can help in the decision making, but in the end, it must go through a human brain that uses no only the data, but also the intuition, the experience or the instinct for example.

Or think of a trial, where the data is entered, and a verdict based on facts is determined, … but subjective facts, or strictly human assessments, cannot be evaluated so mechanically.

The future to come will be supported in a technological pillar with an intelligence programmed by the man or woman.

Asier Anitua Valluerca

Asier Anitua Valluerca

Gerente Desarrollo de Negocio

Telefónica Servicios Audiovisuales

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