How AI Tools Will Supplement and Not Replace Data Scientists
The fear that AI and AI-powered tools can soon replace coders has grown stronger over the past few months. Much of it is due to recent advancements in AI technology and the public’s embrace of tools such as ChatGPT. But for many who know, this couldn’t be further from the truth. That’s because coding and development are in a special position when it comes to AI. The following examples will explain how AI and coders can co-exist by enhancing the coder’s abilities.
Amazon CodeWhisperer
First up is Amazon CodeWisperer. Created by Amazon, it’s a machine learning-powered service that gives developers a productivity level-up by generating code recommendations. What makes this interesting is these recommendations come from the developer’s own prior code and comments. Overall, it’s a great way to reduce development time and allow for more creativity effort where the coder can focus on newer ideas and code.
GitHub Copilot
Created by a partnership between OpenAI and GitHub, GitHub Copilot is an AI-powered system that provides code suggestions using machine learning to assist developers in writing code. In short, Copilot works by analyzing the context of a developer’s code, including the programming language, libraries, and other code in the project, and suggesting code snippets to complete or improve the code. The program will also continue to learn from working with coders so that its recommendations continue to improve, further providing coders with greater flexibility in their development hours.
OpenAI Codex
OpenAI Codex is an AI system developed by OpenAI that uses machine learning models to understand natural language and generate computer code. It is designed to assist developers in writing code by providing suggestions and completing tasks based on natural language descriptions. The system is designed to be integrated into a developer’s workflow which allows for easy incorporation of suggested code into live projects. Though powerful, there are limitations with OpenAI Codex which require careful validation and tests of generated code to ensure quality standards are kept.
PyCharm
PyCharm is an integrated development environment (IDE) for the Python programming language. It is developed by JetBrains and is available in both free and paid versions. PyCharm provides a wide range of features. It is designed to be highly customizable, with a wide range of plugins and configuration options available. It also provides support for popular Python web frameworks such as Django and Flask, making it a popular choice for web development projects.
MATLAB
MATLAB is a programming language and environment for technical computing. It is developed by MathWorks and is widely used in a variety of fields, including engineering, science, and finance. MATLAB provides a wide range of features and tools to help users analyze data, develop algorithms, and create models. It’s quite well suited for tasks such as data analysis, signal processing, and numerical modeling which is why it’s still used widely in academic research and teaching. This is seen mostly in engineering and scientific fields.
AlphaCode
Designed by DeepMind, AlphaCode is a game designed to help train and evaluate the problem-solving abilities of participants, particularly in the context of computer programming. This is a great tool for up-and-coming coders because players are given a set of programming problems to solve within a set time limit. The problems increase in difficulty as the game progresses, and players are awarded points based on the number of problems they solve and the speed at which they solve them. The game is designed to test a player’s ability to think creatively and analytically, and to develop efficient algorithms and code.
Conclusion
Hopefully, these examples have painted a clear picture. Coders are in no danger of being replaced by an AI program. Instead, like many other industries, AI-powered tools are coming to enhance your skills. But there is so much more to learn about AI so these programs are a complement and not something you’re solely dependent on. To do that you have to check out ODSC East. There, you’ll experience the best in artificial intelligence, the latest advancements in data science, and meet with thousands of experts from across the globe.
Learn more about ODSC East coming up this May 9th-11th here: https://odsc.com/boston/
Originally posted on OpenDataScience.com
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