Key Takeaways:
- 25% of software developers express a desire to enhance their AI and machine learning (ML) skills.
- Only 6% of developers expect to see increased AI or ML tools and functionality in future Python versions.
- STX Next emphasizes the need for better support and training to empower developers in AI and ML projects.
Unlocking the Potential: STX Next’s Python Tech Radar Report Tech professionals are eager to harness the power of artificial intelligence (AI) and machine learning (ML) but face significant hurdles when it comes to developing their skills, according to a recent research report by STX Next, Europe’s largest Python software development company. The study, titled “Python Tech Radar 2023,” offers valuable insights into the aspirations and challenges of software developers in the realm of AI and ML.
The Quest for AI Mastery: Current Landscape and Training
The Python Tech Radar report reveals that 29% of developers have completed courses in AI and ML, making it the third most popular area of training after web development (67%) and software development (65%). However, only a mere 6% expect to see enhanced AI and ML tools and functionality in future versions of Python. This discrepancy highlights the pressing need for better support and resources to empower software developers in their AI and ML projects.
Additional key findings from the report include:
- AI, ML, data engineering, and data science are seen as the next big things in Python by 17% of respondents, outranking other areas like performance optimization.
- 36% of developers remain undecided about the future trends in Python, expressing curiosity to explore emerging areas.
- 25% of developers express a strong desire to enhance their AI and ML skills, second only to more established areas such as software architecture (76%), software development (52%), and leadership (28%).
Bridging the Gap: Strengthening AI and ML Support
Ronald Binkofski, CEO at STX Next, emphasized the need for improvement in AI and ML tools within programming languages like Python. While Python is widely recognized as a go-to language for AI research and practical ML applications, Binkofski argues that further advancements are necessary to unlock its full potential.
Binkofski stated, “Future updates to Python and other popular programming languages should prioritize the implementation of enhanced AI and ML tools as a standard feature. While updates to performance and security are crucial, streamlining AI-related projects must be a top priority moving forward.”
Moreover, Binkofski underscored the importance of holistic training beyond coding. He highlighted the need for organizations to provide comprehensive AI and ML training, covering broader concepts and coding intricacies. By doing so, companies can empower their employees and foster a successful future in the rapidly evolving AI landscape.
Embracing the Future of AI Skills
As AI continues to shape industries worldwide, the demand for skilled software developers in this field will only grow. To unlock their full potential, developers need better support, improved tools, and comprehensive training that goes beyond mere coding. STX Next’s Python Tech Radar report serves as a valuable resource for businesses, academia, and developers alike, shedding light on the current state of AI skills and highlighting the steps necessary to embrace the future of AI in software development.
About STX Next:
STX Next is Europe’s largest software house specializing in designing and creating digital solutions using the Python programming language. With over 600 employees across eight offices in Poland, the company collaborates with leading international corporations, innovative startups, and small to medium enterprises, providing cutting-edge digital solutions. With their extensive expertise in Python development, STX Next empowers businesses to thrive in the digital age.
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