Archive Posts

AI & Tech

With over a decade of experience in software development, we bring a wealth of knowledge and expertise to the table. At Ropstam, we believe in sharing our skills and insights with our clients and the wider community to drive growth and success.
Machine Learning: An Intuitive Way Towards CRM of the Future

CRM software allows companies to record customer data, buying behavior, and usage patterns so they can discover actionable insights that can improve their services. CRM solutions are constantly growing more sophisticated in their capabilities to meet these business needs. All of that has become even easier to conduct with the advent of social media. Everywhere […]

Read More →
GitHub Co-pilot introduction, an AI-assisted coding

GitHub was released for a preview last year, originally announced on June 29, 2021. It’s an AI-assisted pair programmer that helps you write code faster and more efficiently. GitHub extracts the content from the code and comments so they can provide a quick overview of the functions. On paper, the concept looks promising. AI-assisted programming […]

Read More →
Basics one should know about Artificial Intelligence

The majority are not exceptional with the idea of artificial intelligence (AI) and its basics. When 1,500 senior business pioneers in the United States in 2017 were asked about AI, just 17% said they knew about it. Various knew what it was or would mean for their organizations, but none of them had any practical […]

Read More →
Everything You Need to Know About GitHub Copilot

GitHub Copilot seems straight out of a science fiction movie, and why shouldn’t it? Not long ago, artificial intelligence was the main enemy of science fiction movies. And today, it’s creeping all around us. Nearly every product from software development companies seems to contain elements of artificial intelligence. But what can AI do when coding […]

Read More →
Automated Machine Learning the future, what features to look into it.

  The procedures while building machine learning models is a tedious yet significant interaction. There are many such activities going from setting up the data, choosing and preparing algorithms, understanding how the calculation is decided, right down to conveying models to creation. I like to consider the machine learning plan and upkeep process as being […]

Read More →