1250x260_Light
1250x260

CTOs love Machine Learning

Date:

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.

machine learning

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

Popular

Subscribe to our newsletter


Your emaill address should be use only for updating you on our articles, in the respect of the privacy law

Share post:

More like this
Related

Healthcare Innovation: New Investment Opportunities

Healthcare Innovation The amount of money that venture capitalists spend on healthcare is frequently viewed as a sign of where current and

Top Innovative Health companies

and Massachusetts have also received 1.7 million doses of the vaccine. More than 100 employers and universities have used Color's testing services in the last 18 months, as well as K-12 schools in several states, including California and Texas. Finally, it supports 9,000 testing locations and 1,700 vaccination locations across the United States.

Top Blockchain Books to read in 2022

A decade ago, the blockchain industry was just getting started. Now, it's exploded. The cryptocurrency market was a very small part of the overall economy for a long time. There has been a significant increase in demand for blockchain technology in almost every industry. As a result, this article will discuss top picks for blockchain books to read in 2022 if you want to learn about the technology and put it to good use.

NFTs: The next big thing in online gaming

With NFTs, or “non-fungible tokens,” you can keep track of the ownership of any asset, even if it moves around the blockchain. And you can regale a share of that asset to previous owners. It should be a no-brainer for the world's 3 billion players. To seek unique stuff, gather limited trinkets, and unlock unique art and souvenirs to keep and treasure.