Best IT Management Software for IBM Cloud Functions

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Streamline the classification, recognition, and capture of business documents. IBM® Datacap software forms a key capability in the IBM Cloud Pak®. This is for Business Automation. It simplifies the classification, recognition, and capture of business documents. It uses text analytics, natural language processing, and machine learning to extract content from unstructured and variable paper documents. Multichannel input from scanners and faxes, emails and digital files, such as PDF and images from mobile devices and applications. Machine learning is used to automate complex or unidentified formats and highly variable documents that are difficult to capture using traditional systems. Allows you to export information and documents to a variety of applications and content repositories, including IBM and other vendors. To speed up deployment, this interface allows you to configure capture workflows and apps with a simple point-and click interface.

IBM Cloudant®, a distributed database, is designed to handle heavy workloads common in large, fast-growing web apps and mobile apps. Cloudant is available as an SLA-backed and fully managed IBM Cloud™, service that elastically scales throughput, storage, and both.

When a website or business application is under strain, one server can no longer handle the entire load. Organizations use "load balancing" to spread the load across multiple servers. This prevents one server from becoming overwhelmed, which can lead to it slowing down, dropping requests, or even crash. Load balancing allows you to evenly distribute network traffic in order to avoid overloading any resource. This strategy improves performance and availability of websites, applications, databases, and other computing resources. It helps users process their requests quickly and accurately. Load balancing is an invisible facilitator between a client's computer and a group servers. It ensures that connection requests are not lost. Applications, websites, databases, online services, and other services that depend on load balancing would most likely fail if there was too much demand.