Market Place

As for today, and the near future, the Digital Programmatic Marketing landscape can’t prosper without the assitance of AI. At AI, we understand the scientific approach that the market needs today, from Busines Intelligence and Machine Learning up to Deep Learning Neural Networks among the emerging technologies that are still in the prototype phase.

Through today Programmatic Marketing pillars (DSP/SSP/DMP/Trading Desk/Cloud) on which you build your a Media strategies or even arbitrage traffic, you are probably already using AI (even without knowing it). Most companies struggle a lot building own in-house algorithms, some succeed, many don’t. But even if you are among the wise and lucky once, you probably know how tedious and demanding the algorithmic building is.

AI Development Phases

Machine Learning

Machine learning is a field of computer science that gives computer systems the ability to "learn", and progressively improve the performance on a specific task, with data, without being explicitly programmed.

The further integration of technology into the physical world creates new consumer interactions that are even more simple and instantaneous.

AI provides ML services to detect those trends and behaviors hidden behind multiple terabytes of data, enabling predictive systems to provide automatic and instant answers and directions to attain any desired goal.
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In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a kind of problems. Algorithms can perform calculation, data processing and automated reasoning tasks.

A perfect algorithm should theoretically explore every combination within the variables; in most cases this is not humanly possible.

AI provides algorithms for managing real-time operations, several thousand times per second. Proven on the most demanding RTB and AdTech environments, we display minute to minute, second to second, performance improvements in the most varied KPIs.
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Business Analytics

Business analytics focuses on finding insights and understanding a business performance based on data and statistical methods.

The continuous and iterative exploration and investigation of current and past business performance allows to produce and drive business planning.

AI provides extensive tools for statistical analysis, including explanatory and predictive models, and fact-based management to drive human and automated decision making.
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