Azure AI Document Intelligence vs. OpenText Documentum

Azure AI Document Intelligence is mainly used in document data filling. If the template is the same, only the inside data content will be different. There, we use a text-based OCR process to fill the data in the same template with different, accurate data means the manual work will be reduced and time saved. And used in an image and text combined bot if the user query through text from the knowledge based document it brings the output which is used in information technology and services.

Incentivized

Documentum is best used in medium to large institutions that can afford it, have alternate solutions for web publishing, and who have either in-house developers or can hire good Documentum developers (not the ones who know Java but do not understand ECM). It is, in my opinion, the best heavy duty ECM solution out there, assuming OT is not gutting it as we speak. That is my only hesitation to not giving it a 10, OpenText is an unknown quantity in this and I worry that they will only support Documentum until they have figured out how to fill the gap between Documentum and OT and then offer a migration path to OT with a Documentum sunsetting as an incentive.

Incentivized

• From the Image the OCR technology use to store embedding properly
• From the images the OCR technology automatically capturing text is brilliant
• Also for creating Azure AI Document Intelligence endpoint and keys it is very easy to do

Incentivized

• Records management: Compared to other content management systems, this provides a efficient and scalable solution. It gives lot of flexibility in managing the content as Records or Legal holds.
• Workflow system has external plugins to connect with FAX, Mail, Database and FTP servers etc. which gives an option to integrate with any system with documentum.
• Creation of websites and maintenance is easy. Content authors can create the pages with effective mechanism.

Incentivized

• Azure AI Document Intelligence should have used to store image based embedding for multiple languages
• Images storing part is a different area in our case and only for a few images that part can be increased
• Cost is high which should be reduced so more users will come and more technology through this will come

Incentivized

• WDK framework has been the biggest drawbacks from the application speed point of view, as well as client complexity and not so natural look and feel. Yes, with the latest releases much of these features are improved.
• EMC is very expensive to buy, own and support, where some products require many dependent Docuemntum products to be installed to work at its best.

Stability is a key factor as well as its flexibility. Also, any organization that deploys Documentum will have made a significant investment in terms of time and money, so not renewing its commitment can come with a significant cost. That said, the decision to deploy Documentum initially should come only after extensive evaluation, knowing that once deployed it will likely remain the platform of choice.

Incentivized

Azure AI Document Intelligence mainly meets our business requirements. Actually, what we need is image and text-based multimodal, and we store data in pgvector PostgreSQL vector embedding those data. For that, we need text and image combined embedding, which we can get from Azure AI Document Intelligence. Which is working good for us and improved accuracy not 100% but 70% accuracy we are getting at least through Azure AI Document Intelligence.

Incentivized

Support is better than with ECM, but could use some improvement.

Incentivized

Azure AI Search, we used to bring image and text relevant to the user query, but it did not work properly, and the accuracy was very poor compared to Azure AI Document Intelligence. Azure Blob Storage we used to store images and bring in frontend there also accuracy low, so we went for embedding through Azure AI Document Intelligence. Azure AI Content Safety for text content, but it is very costly, so we went for Azure AI Document Intelligence.

Incentivized

At the time it was purchased it was one of the best, most robust solutions available on the market.

Incentivized

• Significant reduction in manual processing cost by 40-60%
• Improved data accuracy and reduce work
• Scalability is good without cost increase

Incentivized

• After this product, the client is able to manage content security and due to it, the client is able to use the business process, and this really reduces effort and increases the profit in business.
• It provides integration with SAP easily which really helps the client to manage this effectively and with minimum effort system is ready to use.
• Also searching, automated flows also create a bigger impact and reduce a lot manual effort.

Incentivized