Humanativa’s Forecast Engine. The experience in the field of transport.

In this article, we report an excerpt from an experiment conducted in 2022 on passenger flow data at a nationwide airport's Point Of Interest.

AutoForecast – Humanativa’s forecasting engine

This in-depth analysis introduces the theme of the "time-series" algorithms that are the basis of the concept of "forecasting"

MLOps – Governing ML Services

As for many of the processes that have had a principle of innovation at the base, Machine Learning is also facing a path from a perspective of experimentation...

Embarking on the AI-driven journey

In this article we want to explain in detail how companies can become AI-driven according to Humanativa Group.

Data Democratization

Data democratization refers to the practice of making data accessible and usable by a wide range of users...

Why choose Humanativa

Artificial Intelligence (AI) and Machine Learning (ML) are having their “Hype” phase. There is a lot of expectation […]

Humanativa Group meets the students of the Master of Data Science at the Industrial Liaison Program Day 2023 (ILP2023)

Humanativa Group is among the Italian and European companies chosen by the University of Rome to participate in […]

Passenger flow forecast

The Challenge An important airport management company entrusted us with a project related to the analysis and understanding […]

Credit risk scoring

The Challenge Today, modern “digital” banks in particular offer services such as “digital wallets with attached digital payment […]

Crash validation

The Challenge Today cars are equipped with electronic devices with GPS locator (black box) which allow to record […]

Customer insight fo up and cross selling

The Challenge In financial services, as in other industry contexts, the transformation process towards an Ai-driven company is […]

Behavioral analytics and accident risk

The Challenge A major automotive rental service company in the automotive sector requested the study of an Advanced […]