Atlassian Confluence vs. Hugging Face vs. IBM Watson Visual Recognition (discontinued)

It is well suited due to the below reasons 1. Easy collaboration between teams 2. Strong integration with other applications 3. Centralized documentation among teams and within the organisation 4. Project planning and report sharing 5. Employee onboarding is easier and maintain HR policies very well. Less appropriate in below scenarios When this is being used as a main tool for communication rather than its purpose of collaboration.

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If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face

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As I mentioned before, it can only be employed in simple basic visual recognition applications. It can be employed in large projects and relying it on completely is not encouraged. It's better to create your own algorithms rather than using it. If you are from a non-programming background, then I may suggest you rely on this and use it to develop simple apps that can predict a few plants and animals.

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• Cross product linking - If you use other Atlassian products then Atlassian Confluence is a no-brainer for your source of documentation, knowledge management etc. You can show previews of the linked asset natively E.g. showing a preview of a JIRA ticket in a Atlassian Confluence page.
• Simple editing - Though the features available may not be super complex right now, this does come with the benefit of making it easy to edit and create documents. Some documentation editors can be overwhelming, Atlassian Confluence is simple and intuitive.
• Native marketplace - If you want to install add-ons to your Atlassian Confluence space it's really easy. Admins can explore the Atlassian marketplace natively and install them to your instance in a few clicks. You can customise your Atlassian Confluence instance in many different ways using add-ons.

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• Model APIs
• Hugging Face Spaces for deploying demo apps
• Latest updated models available easily
• Vast support for language parsing and other relevant tasks

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• Food recognition
• High reliability
• Speed

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• UI Design is very simplistic and basic could make use of more visually interesting colour choices, layout choices, etc.
• Under the 'Content' menu, it defaults to having a landing page for all L1 and L2 category pages. Meaning as long as the broader content category has a sub-category, it still creates a separate landing page. In my team's case, this often creates blank pages, as we only fill out the page at the lowest sub-category (L3).
• Hyperlinks are traditionally shown as blue, however, this results into very monotonously blue pages in cases where a lot of information is being linked.

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• Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
• It’s good to have some visualization tool in hugging face for viewing model architecture.
• I recommend to implement hugging face lite version so that it can run on any system with less specifications.

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• Not perfect
• Accuracy is doubted and sometimes it may not predict correctly.
• I think it should be improved and should add a few more functionalities.

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I am confident that Atlassian can come with additional and innovative macros and functions to add value to Confluence. In 6 months, Atlassian transformed a good collaborative tools into a more comprehensive system that can help manage projects and processes, as well as "talk" with other Atlassian products like Jira. We are in fact learning more about Jira to evaluate a possible fit to complement our tool box.

Atlassian Confluence is a great tool for project management, especially for internal documentation. It has a minimum governance requirement to use its full power. Also, it is a little pricy to unlock its full power as well, so it is not recommended for companies with a low budget in my opinion.

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I am giving this rating on the basis of its usability in real-time applications and based on the interface to upload negative and positive images to train the AI. But it's not perfect and sometimes its predictions are wrong. On overall usability, it's better if you are planning on working with UI rather than using complex programs and algorithms on your own.

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I do not recall having outages or applications error so far, very reliable and available.

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We never worked against the tide while using Confluence. Everything loads considerably fast, even media components like videos (hosted on the platform or embed external videos from Youtube, for example). We are not using heavy media components a lot, but in the rare occasion we happen to use one we have no problems whatsoever.

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This rating is specifically for Atlassian's self-help documentation on their website. Often times, it is not robust enough to cover a complex usage of one of their features. Frequently, you can find an answer on the web, but not from Atlassian. Instead, it is usually at a power user group elsewhere on the net.

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Overall, I am very satisfied with the initial implementation (and the subsequent upgrades and implementations made over the years).

This product has never rose to the level of being an major issue at an executive level. It has quietly and valiantly done it's job for our company!

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We chose Atlassian Confluence over SharePoint because it's much more user-friendly and intuitive. Atlassian Confluence makes collaboration and knowledge sharing easier with its simpler interface and better search. While SharePoint can be powerful, it often feels clunky and complex, making it harder for our team to actually use it.

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There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.

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This tool is very adaptable. So much so we use it for three completely separate projects, in three very different ways.

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• We totally rely on this tool since a decade now and despite being so much transition in our company it has served us well in those transitions
• Many times, during security audits we are asked to showcase our readiness for various compliance points and confluence helps us a lot in maintaining that
• Talking about Confluence in front of clients and customers gives us an upper hand that we are up to date with latest trend and technologies and tools for our RnD planning and management

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• Hugging Face is cost and time saving.
• Pay is less, you pay what you use, doesn't affect much.
• Overall positive impact on business.

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• High cost if models are trained

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