Artificial Intelligence. A Necessity

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.  

Now, I just gave a techopedia definition. To be honest, I feel its a lot more than “creating intelligent machines that work and react like humans”.  It is help. Building physical vessels or applications that can help carry out tasks to improve efficacy and achieve streamlined operations.

Artificial Intelligence can be used in;

• Gaming
• Agents (e.g. Personal Assistants)
• Natural Language Processing
• Fraud Detection
• Biometrics

And a lot more.

As software developers, we can use AI to improve our processes. Here’s how.

Automatic code generation:

This is not about IntelliSense. With deep learning, AI can now write code for developers and aid navigation through complex APIs.

DevOps:

DevOps aims at unifying software development and operations. AI can help communication, code quality and many other areas in DevOps.

Communication: Due to long communication chains, Information dissemination could be a problem for DevOps in large organizations. ChatBots can help DevOps solve this problem because they can help communication channels be more streamlined. Imagine a team with a bot (maybe a slack bot) that notifies the entire team once a change has been tested, passed and deployed. That is good AI, it saves time as humans may be preoccupied with other things to send such notifications. It’s really awesome stuff!

Code Quality: We can also use pattern matching on unit test results to trace errors caused by poor coding practices. The results gotten from this is obviously vital information for developers.

Better Products:

With Artificial Intelligence, applications can learn by recognizing trends in data and action. These applications can also react to scenarios based on what they learn. There are endless opportunities for developers to put out great products with a few AI integrations in their applications. Developers can build products with amazing experiences due to the fact that the application learns from the users past interactions and applies that knowledge to create a better experience that customers would love.

Transformation for Development Teams:

With how dynamic technology is, change is inevitable. This means accommodating agile processes.

AI could transform the way development teams work from the process (as mentioned above), even to the way data is manipulated. As machines are as intelligent as the data fed to them, and as we further embrace the new AI trend, it’s becoming very easy to process big data and data size isn’t do much of a big deal anymore

AI would be the latest examples of machines that can work with people to achieve something greater. Developers can leverage on this, not only for building products, but also in developing and improving on our processes.