TechCrunch

AUGUST 17, 2021

Unbundling financial data through APIs and driving data-driven insights with value-add products in Africa keeps getting more exciting as major players continue to raise more money for scale. The company is also describing itself as a machine learning-as-a-service platform.

Fintech 267

Fintech Infrastructure Data Machine Learning 267

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. They build the foundations of new solutions that move the fintech field forward. The fintech sector has witnessed explosive growth, characterized by rapid innovation and substantial investment.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics. As a result, service providers may charge less for their services.

Engineering 52

Engineering Data Storage AWS 52

Altexsoft

MAY 14, 2021

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 23, 2019

The scope includes companies working with machine learning, fintech, biotech, cybersecurity, smart cities, voice recognition, and healthtech. Southern Data Science Conference 2020. The matters of deep learning basics, application of data analytics and data science with different frameworks and tools will be discussed.

Security 13

Security Artificial Inteligence Conference Data Center 13

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. It uses statistical algorithms, machine learning techniques, and modeling to make predictions about what might happen.

Big Data 52

Big Data Analytics Data Analysis 52