AI Development Will Grow Faster Due to DevOps Tools

AI Development Will Grow Faster Due to DevOps Tools

Last Updated on August 3, 2021 by Editor Futurescope

Artificial intelligence is becoming a more significant part of our lives every single day. This can be seen by looking at the explosive growth in the market for artificial intelligence technology in recent years. One of the biggest predictions for AI is that it will grow even faster in the near future.

For context, the global market for AI was worth $39.9 billion in 2019. It increased over 50% in 2020, when it was worth over $62 billion. Analysts from Grandview Research project that it will be worth over $730 billion within the next seven years. The market for AI technology is growing 42.2% a year until 2027.

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A lot of factors are playing a critical role in the rapid growth of AI. One of the most important trends is the proliferation of new DevOps tools, which has become a lot more advanced recently. DevOps tools make it a lot easier for developers to create new applications. DevOps will streamline the development of new artificial intelligence technology.

How will artificial intelligence evolve as new DevOps tools are rolled out?

DevOps technology has been incredibly advantageous to the developer community. Countless developers have used it to streamline their production workflows in numerous, important ways.

There are a number of reasons that this technology can be so useful. Some of them are listed below.

Compatibility with a wide range of third-party tools

There are a number of great third-party tools like the Docker registry by JFrog that can help streamline the development process. Many of these tools have proven to be incredibly useful with developing new artificial intelligence algorithms.

DevOps developers can also improve their process by using newer and more sophisticated tools that reach the community. Most DevOps platforms are partially or entirely open source, which tends to make it a lot easier to roll out new tools. As new tools are developed, savvy developers can take advantage of them to improve their production workflows.

Many of these tools were developed specifically with AI projects in mind. Developers will be able to create high-quality artificial intelligence programs a lot more quickly if they take advantage of the best tools available to them.

High emphasis on automation

One of the biggest benefits of DevOps technology is its high emphasis on automation. You can use this technology to automate many different aspects of the development process.

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This can be very important for artificial intelligence applications. You are going to find that many AI programs require constant changes. You might not be able to keep up with evolving needs by relying entirely on a team of human developers. DevOps tools will make it easier to add and modify code with deep learning methodologies.

Continuous testing of new changes

Another great reason that DevOps tools like the Docker platform are improving artificial intelligence is that they make testing a lot easier. These new platforms allow testing to be done continuously. The benefits of this cannot possibly be overstated.

Continuous testing is very important when new integrations are introduced to applications. This can help minimize concerns about stability or security flaws. Since artificial intelligence applications are highly complex, problems with new modifications can be very prevalent. Developers have found that continuous testing can help identify these issues early on and take remedial action as needed.

Which industries are likely to benefit the most from AI technology created with DevOps?

There are a lot of great AI applications that can be built with DevOps technology. This technology is going to be very useful to almost every sector. However, some companies are using it to a greater extent than others.

Healthcare

Artificial intelligence is becoming very important in the field of healthcare. Healthcare organizations use new AI technology for everything from improving diagnostics to assisting with billing. Many healthcare organizations have found that it helps reduce error rates and improve patient satisfaction, which is very important for helping improve their operating margins and ensure that they remain fiscally solvent.

A growing number of developers that work on healthcare AI systems are turning to the use of DevOps tools. This is going to be even more important as AI becomes integral to the future of healthcare reform.

Finance

The financial sector is also heavily dominated by AI technology. Artificial intelligence is helping with everything from improving security of financial systems to perfecting actuarial models.

Artificial intelligence really is the future of finance. More financial organizations are going to be dependent on it for years to come. Developers are going to keep using DevOps technology to improve on it.

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