Amazon Textract Integrations

FormKiQ is a document management system that can save you months of development time while lowering costs. This is due to its scaleable architecture, built on AWS best-in-class cloud technologies. Based on its API-forward design and robust front-end client, FormKiQ can be headless or web-based, or a little bit of both. And no matter how you integrate, you get 100% of the code, and none of the agony of building document management software from scratch. NOTE: along with the Pro and Enterprise versions, there is a free open-core version, FormKiQ Core, that provides the essential features of a document management system.

AWS App Mesh provides service mesh to facilitate communication between your services across different types of computing infrastructure. App Mesh provides visibility and high availability to your applications. Modern applications often include multiple services. Each service can be developed using different types of compute infrastructure such as Amazon EC2, Amazon ECS and Amazon EKS. It becomes more difficult to spot errors and redirect traffic after they occur, and to safely implement code changes. This was done by creating monitoring and control logic in your code and then redeploying your services whenever there were changes.

Build complex automations up to 10x faster without battling APIs. The days of slogging through a mess of scripts is over. JavaScript is the best choice when you want flexibility, and UI for all other tasks. n8n lets you build flexible workflows that are focused on deep data integration. With a user-friendly interface and templates that can be shared, even the less technically minded members of your team can work together on them. Contrary to other tools, complexity does not limit you. You can build anything you want, without worrying about budget. Connect APIs without code to automate basic functions. You can also use vanilla Javascript to manipulate complex data. You can implement more than one trigger. You can branch and merge your workflows. You can even pause flows while you wait for external events. Custom HTTP requests allow you to easily interface with any API or service. Separate dev and production environments with different sets of authentication data to avoid breaking live workflows.

Amazon Augmented AI (Amazon A2I), makes it easy to create the workflows needed for human review of ML prediction. Amazon A2I provides human review for all developers. This removes the undifferentiated work involved in building systems that require human review or managing large numbers. Machine learning applications often require humans to review low confidence predictions in order to verify that the results are accurate. In some cases, such as extracting information from scanned mortgage applications forms, human review may be required due to poor scan quality or handwriting. However, building human review systems can be costly and time-consuming because it involves complex processes or "workflows", creating custom software to manage review tasks, results, and managing large numbers of reviewers.

AWS AI Services are pre-trained and ready to provide intelligence for your applications. AI Services integrate easily with your applications to address common uses cases, such as personalized recommendations and modernizing your contact centre, improving safety and security, increasing customer engagement, and improving customer satisfaction. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. AWS's AI Services don't require any prior machine learning experience. You can catalog assets, automate workflows, extract meaning from media and applications, and even catalog them. For complete quality control, identify missing components, vehicle and structure damage, irregularities, and other irregularities. Automated monitoring can improve operations and help identify bottlenecks. It also helps to assess safety and quality. You can quickly extract valuable information from millions upon millions of documents.

Mantium's AI platform encourages knowledge sharing and alignment within organisations, helping teams work towards common goals. Knowledge management systems (KMS), which are used to manage large teams, are key to collaboration and learning about meetings, processes, and other events. We enable enterprises to quickly find the right knowledge in their KMS using AI to provide the best answers. If Mantium does not have the answer to your question you can update the information and the AI will improve in future instances. Mantium allows you to search systems holistically with Natural Language Processing (NLP), so your team can quickly find the information they need. You can ask a question via Slackbot and not need to switch to another app to get the answers.

Create automations and manage exceptions in intuitive English. Automate in a simple and intuitive way processes that have large volumes of transactions, unstructured and structured data, and workflows with complex exceptions. RPA has historically had difficulty automating processes that encounter exceptions. Document-heavy workflows are a good example. Kognitos uses a fundamentally new approach, allowing users to teach automation how to handle exceptions by using natural language. Kognitos mimics how we teach each other to resolve errors and edge-cases by using intuitive prompting, which puts humans in charge. Automation can be trained just like you would train a human to work through experience and examples.