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Unleashing the Power of AI: The Synergy of Evolven and ChatGPT


Unleashing the Power of AI: The Synergy of Evolven and ChatGPT


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The field of artificial intelligence (AI) is witnessing a surge of interest in a subfield known as generative AI. Generative AI refers to models that can generate new content, whether it's a piece of text, an image, or even a piece of music. These models learn patterns from existing data and use this knowledge to create new data that's similar but not identical, much like an artist might learn to paint by studying the works of masters and then create their own unique paintings.

Generative AI is generating both excitement and fear. The excitement comes from the potential applications. Imagine a model that can write a new novel in the style of your favorite author, or compose a piece of music in the style of Mozart. The possibilities are endless, and the potential for creativity is enormous.

However, there's also fear. What happens when these models become so good that they can generate fake news or deepfakes that are indistinguishable from real news or images? What happens when they can impersonate your writing style so well that they can fool your friends, or even your bank? These are real concerns that need to be addressed as the technology advances.

Despite the hype and the fear, the reality is that generative AI is here to stay. It's a powerful tool that, when used responsibly, can unlock new levels of creativity and efficiency. One such powerful application of generative AI is the integration of Evolven's domain-specific AI capabilities with generative AI such as OpenAI's ChatGPT. This combination brings together the best of both worlds: Evolven's specialized AI for analyzing and managing IT environments, and ChatGPT's generic AI for generating human-like text.

The Power of Evolven's AI

Evolven's AI is a specialized tool designed to analyze, understand, and estimate the risk of configurations in an IT environment. It can identify potential risks, suggest remediation actions, and even execute changes. This ability to delve deep into complex IT environments across the hybrid cloud and provide actionable insights is what sets Evolven's AI apart.

The Versatility of ChatGPT

On the other hand, ChatGPT, developed by OpenAI, is a language model that excels at understanding and generating text across a wide range of topics. Its strength lies in its ability to communicate in a natural, human-like way, making it a versatile tool for a variety of applications.

A Powerful Combination

When combined, Evolven's AI and ChatGPT create a powerful tool that can handle a wide range of tasks. Evolven's AI can analyze complex IT environments and suggest remediation actions, while ChatGPT can communicate these insights to users in a natural, human-like manner. This combination enhances problem-solving, automates remediation, and improves accessibility in IT environments.

Benefits of Integration

The integration of Evolven's AI and ChatGPT offers several benefits:

  • Enhanced Problem-Solving: The combination provides detailed insights into IT environments, making it easier for users to understand and act upon them.
  • Automated Remediation: The Evolven GPT Plugin can execute changes in the IT environment, saving time and reducing the risk of human error.
  • Improved Accessibility: By using natural language processing, the combination makes complex IT management tasks more accessible to non-technical users.

Sample Video

To illustrate the power of the Evolven and ChatGPT integration, discover this sample video:


  • Risk Identification and Remediation: In one instance, a critical issue related to an application crash in a Kubernetes service was swiftly identified and resolved using the Evolven GPT Plugin. The plugin helped to identify three significant changes that occurred around the time of the incident, including a high-risk configuration change and two code modifications. It suggested remediation actions, and upon user approval, executed the changes, resolving the issue.
  • Proactive Risk Management: In another example, the Evolven GPT Plugin identified potential risks in a Kubernetes service configuration. It pulled the configuration file, suggested modifications to mitigate the risks, and presented the modified configuration for review. After the user approved the changes, the plugin committed the changes, proactively preventing potential issues.


The integration of Evolven's AI and ChatGPT demonstrates the power of combining specialized and generic AI, in this case, IT management. By leveraging the strengths of both systems, we're able to create a tool that not only understands the complexities of IT environments but can also communicate these insights in a way that's accessible and easy to understand. As AI continues to evolve, such combinations will undoubtedly play a crucial role in shaping the future of the field.

But what does this mean for the future? As we continue to push the boundaries of what AI can do, we may see more of these powerful combinations, leading to AI systems that are more capable and versatile than ever before.

However, this also brings challenges, particularly in terms of managing the risks associated with generative AI. As we move forward, it will be crucial to develop strategies and safeguards to manage these risks while still harnessing the full potential of AI.

In the end, the goal is to harness the full potential of AI to make IT management more efficient, effective, and accessible. We'd love to hear your thoughts on this. How do you see the future of AI evolving in the IT field? What potential applications excite you the most? Share your thoughts in the comments below.

Please contact us to learn more about Evolven and how it can help your enterprise.

About the Author
Bostjan Kaluza, PhD

Boštjan Kaluža is the Chief Data Scientist at Evolven. He's also a hardcore researcher who's done a lot of research into artificial intelligence and intelligent systems, machine learning, predictive analytics and anomaly detection. Prior to Evolven, Boštjan served as a senior researcher in the Department of Intelligent Systems at the Jozef Stefan Institute, the leading Slovenian scientific research institution and led research projects involving pattern and anomaly detection, machine learning and predictive analytics.


Focusing on the detection of suspicious behavior and data analysis, Boštjan has published numerous articles in professional journals and delivered conference papers. In 2013, Boštjan published his first book on data science, Instant Weka How-to, exploring how to leverage machine learning using Weka. Boštjan is now working on his second book Practical Machine Learning in Java, scheduled to be published later this year. Boštjan is also the author and contributor to a number of patents in the areas of anomaly detection and pattern recognition.


Boštjan earned his PhD at Jožef Stefan International Postgraduate School in Ljubljana, Slovenia, rigorously defending a doctoral dissertation entitled Detection of Anomalous and Suspicious Behavior Patterns.