CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. KPI data from network elements and monitoring probes. Syslog data from various servers and network elements.

Performance 40

Performance Cloud Big Data KPI 40

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Inventory-related KPIs.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. Predictive analytics requires numerous statistical techniques, including data mining (detecting patterns in data) and machine learning. Let’s explore several popular areas of its application.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Apiumhub

MARCH 9, 2021

In this environment, data is not bartered among business units or hoarded, but is seen as a shared, companywide asset. Data architecture uses machine learning and artificial intelligence to build the data objects, tables, views, and models that keep data flowing. Data should be curated. Driven by AI.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52