Intro
According to the latest research from STX Next , Europe’s largest software development company. Specializing in the Python programming language has found. There 68% of chief technical officers (CTOs) have implemented machine learning at their company.
What’s more the study, from software development company STX Next, reveals that %55 of businesses. Now employ at least one team member dedicated to AI/ML solutions, although only %15 have their own separate AI division.
This makes it overwhelmingly the most popular subset of AI. Others such as natural language processing (NLP), pattern recognition, and deep learning also show considerable growth.
Despite the popularity of AI and its various subsets, it is also clear that AI implementation is still in its early stages. And progress needs to be made in recruiting the talent need to develop it.
63% of CTOs reported that they are not actively recruiting AI talent, and of those who do, over 50% report facing recruiting challenges.
The findings are draw from STX Next’s 2021 Global CTO Survey, which gathered insights from 500 global CTOs about their organization’s tech stack. And what they want to add to it in the future. Other key findings from the study included:
All about machine learning
- 72% of respondents said machine learning is the most likely technology to emerge in the next two to four years, and 57% predict the same for cloud computing.
- 87% of companies employ up to 5 people in a dedicated AI, machine learning, or data science capacity.
- However, only 15% currently have a dedicated AI department in their company, underlining that there is room for further development.
- 25% of CTOs reported implementing natural language processing, with 22% implementing pattern recognition and 21% implementing deep learning technologies.
“It’s no surprise to see machine learning as a clear leader in future technologies. As its applications become more widespread every day.
What is less obvious are the skills people will need to take full advantage of its growth and face the challenges that will arise at the same time. Secondly CTOs and other leaders must be aware of these challenges and are prepared to take the necessary steps to increase their AI expertise to maintain their innovative edge.” Said Łukasz Grzybowski, Head of Machine Learning and Data Engineering at STX Next
