Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

UruIT

OCTOBER 17, 2019

From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” Planning the Colombian expansion. says Marcelo Martinez, UruIT Colombia Country Manager.

Technical Review 40

Technical Review Real Estate Airlines Strategic Planning 40

Trigent

NOVEMBER 3, 2022

AI and machine learning are already playing a significant role in shaping new initiatives for the logistics industry. With data analytics at the helm, organizations are now bringing their predictive and prescriptive learnings to the fore while harvesting descriptive data to get a competitive edge.

Analytics 52

Analytics Data IoT Trends 52

Altexsoft

APRIL 13, 2023

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. Data siloes. Lack of skilled experts.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

OCTOBER 26, 2022

To enable this conversion, a CDO uses digital information and modern technologies such as the cloud, the Internet of Things , mobile apps, social media, machine learning-based products, and digital marketing. Work with other teams to build and manage a digital ecosystem. Project management.

CTO 52

CTO Organization Technical Review Culture 52

UruIT

OCTOBER 17, 2019

From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” Planning the Colombian expansion. says Marcelo Martinez, UruIT Colombia Country Manager.

Technical Review 11

Technical Review Real Estate Airlines Software Review 11