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Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages vs XGEN AI comparison

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Ubuntu 18.04 (Ubuntu 18.04 ...
Ranking in AWS Marketplace
512th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
XGEN AI
Ranking in AWS Marketplace
62nd
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

reviewer2920476 - PeerSpot reviewer
Development Engineer at a media company with 1,001-5,000 employees
Containerization with automation has improved deployment speed and supports efficient DevOps work
One area for improvement would be longer security support and more frequent updates. Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages is stable, but as technology evolves, compatibility with newer versions of Docker, Kubernetes, and other DevOps tools can become a challenge. I would also want to see more lightweight and optimized official Docker images to reduce image size, improve build times, and minimize security vulnerabilities. Better documentation and smoother dependency management could also be more helpful. I would like Canonical to focus more on security updates, vulnerability scanning, and compatibility with modern DevOps tools. For example, smaller or more optimized Docker images would help reduce build time and improve container startup performance. It would also be helpful to have regular updates for commonly used packages and better compatibility with newer Docker and Kubernetes versions. Another important area is clear documentation for upgrading older Ubuntu versions to newer LTS releases without disrupting existing applications. These improvements would make Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages more secure, efficient, and easier to maintain in production. The main areas of improvement that kept my rating at eight instead of a nine or ten would be that there are some newer technologies and dependencies that might have compatibility issues with older packages. Additionally, security maintenance and upgrading to newer LTS versions require additional effort. Overall, it is a good platform, but there is room for improvement in modern tool compatibility, security, and container optimization. A small improvement would be better built-in monitoring and diagnostic tools, making it easier to identify performance issues, memory usage, and resource bottlenecks. It would also be helpful to have similar security patch management, clear upgrade notifications, and more detailed documentation for Docker and Kubernetes compatibility. These small improvements could significantly ease day-to-day system administration and reduce troubleshooting efforts.
Rajiv Kedia - PeerSpot reviewer
IT Director at a consultancy with 10,001+ employees
Personalized conversations have boosted engagement but need clearer insights and cleaner data
My experience with using XGEN AI for hyper-personalization is that it is generally very strong, but it needs to be implemented correctly. The way it really works well is that real-time behavior tracking is very fast, allowing you to give better results to your users. The recommendation engine is also very fast. The main point is that you need clean data; if you don't have clean data, it can reduce the impact and sometimes over-personalize, which can be of no use or may have negative implications as users might see repetitive items. The best features XGEN AI offers, in my view, are its strong event tracking capabilities. It can track events, clicks, and views, and it has good product metadata. If you're looking to build a true conversational AI engine, it is the best. My assessment is that it works best when treated as a revenue engine, not just as a feature. You have to tie it to a metric such as conversation and retention to see clear ROIs. What stands out to me most about the event tracking or conversational AI engine in XGEN AI is its conversational AI understanding. With NLPs or with most chatbots or voicebots that you would be building, the biggest struggle point is that they are very deterministic in nature, and they don't let you know what to tell and when to tell the user. With XGEN AI, I feel this is consolidated and you get a unified view. XGEN AI has positively impacted our organization by helping us track what users are looking for. The initial release itself showed that the success rate is more than what we were getting previously. We were able to collect a lot of data, and the best part is that it can work across channels, apps, and emails, which helps us provide a unified experience to the end user. We have seen XGEN AI recommendations lift conversion by 10 to 15 percent. We have experienced real-time behavior tracking and have started seeing some ROIs; though I'm not allowed to share the actual ROI itself, we see improvement in the overall metrics. User engagement has been very positive. We have focus groups and are collecting client feedback, and for most people that we have been able to capture feedback from, the CSAT has improved. That's the biggest thing, so overall, it's trending towards positive.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages provides a reliable and flexible environment for our day-to-day activities."
"What I like about the product is the license cost and security, as there is no license cost for Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages."
"We have seen XGEN AI recommendations lift conversion by 10 to 15 percent."
"We have seen a positive ROI with XGEN AI, as it has helped us save roughly fifteen to twenty percent of development time on coding, debugging, and documentation tasks, allowing the team to focus more on higher-value tasks."
 

Cons

"Using open-source, Excel-based tools is not very user-friendly."
"The main areas of improvement that kept my rating at eight instead of a nine or ten would be that there are some newer technologies and dependencies that might have compatibility issues with older packages."
"An area for development with XGEN AI is providing more features for complex or project-specific code, better analysis across multiple codebases or services, and deeper integration with the development tools would make it even more useful for day-to-day work."
"However, the things that do not work as well include its high dependency on data quality and very limited transparency in how recommendations are generated, which needs to improve."
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Top Industries

By visitors reading reviews
No data available
Comms Service Provider
26%
Construction Company
26%
Manufacturing Company
11%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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Questions from the Community

What is your experience regarding pricing and costs for Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages?
What I like about the product is the license cost and security, as there is no license cost for Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages.
What needs improvement with Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages?
Using open-source, Excel-based tools is not very user-friendly. The complexity comes from using full access Microsoft Excel. I believe that I have not found it very friendly to use Microsoft Excel....
What is your primary use case for Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages?
Our major use case for Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages is that our ERP is on Ubuntu 18.04 (Ubuntu 18.04 LTS) | Support by SupportedImages.
What is your experience regarding pricing and costs for XGEN AI?
The experience with pricing, setup cost, and licensing for XGEN AI was fairly straightforward. The setup cost was manageable, and the onboarding process was also relatively simple without requiring...
What needs improvement with XGEN AI?
An area for development with XGEN AI is providing more features for complex or project-specific code, better analysis across multiple codebases or services, and deeper integration with the developm...
What is your primary use case for XGEN AI?
I mainly use XGEN AI for assisting with development, especially generating and improving code, automating repetitive development tasks, troubleshooting issues, and speeding up day-to-day developmen...
 

Comparisons

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