Top 10 Machine Learning Algorithms And When To Apply Them
This article provides an overview of Top 10 ML algorithms and shares examples of when to apply each.
How Predictive AI Modeling Benefits the Modern Enterprise
In this article, we strip predictive AI modeling down to its basics to better understand how it can benefit the modern enterprise.
Why and When to Use Azure Computer Vision and Cognitive Services
In this post, we explore Azure Computer Vision and Cognitive Services. We discuss what these services are, when you should use them, and how they can benefit your business.
How to Create Efficient Data Streams Across the Enterprise
This article addresses the importance of unstructured data digitization and shares how to create seamless data streams across the enterprise by leveraging ML and CMR
How to Effectively Deliver Machine Learning Projects
This article explores and shares best practices of effective end-to-end machine learning project development and delivery.
How Technology Turns Retail Into a Data-Driven Industry: Real-World Cases and Trends
This article explores how retail uses IoT, AI, Computer Vision, VR and AR to transform into an automated, data-rich and highly personalized environment.
Five Trends to Consider When Planning a Machine Learning Project in 2022
In this article, we look at some of the most important factors and trends that will be driving enterprise ML development in 2022.
How Machine Learning Is Used In Autonomous Vehicles
This article looks at certain use cases to better understand how machine learning (ML) and deep learning (DL) technologies are used to build advanced systems for different levels of vehicle automation.
Romania as an IT Outsourcing 4.0 Destination: Market Overview
This article looks into today’s Romanian ICT industry and talent pool to explore whether Western companies should consider outsourcing their custom software development and R&D projects to Romania.
When to Modernize a Legacy System: Telltale Signs and Best Practices
This article explores when it’s high time for any organization to sound the alarm and consider modernizing their legacy software and how to do it right.
