DataSkill recommends using IBM Cloud Pak for Data to provide an intelligent data fabric solution. IBM Cloud Pak for Data provides a single integrated solution for your data management needs and will enable your organization to connect the right data, at the right time, to the right people, from anywhere it’s needed. It simplifies [...]
A data fabric is a design concept. As we explored in our previous blog, the current data landscape is one of multi-cloud environments with data trapped in data silos. A data fabric is a new approach to data governance, privacy, and compliance, that starts with the assumption that data will not always be centralized. [...]
DataSkill was formed over 30 years ago and is highly specialized in innovation and integration of technologies. Throughout our history data has always been at the core of everything we do. Our focus has been on helping businesses make the best decisions. We have been working with organizations to help them become more data driven. [...]
IBM is DataSkill's preferred choice for a data capture solution provider. DataSkill has been an IBM Business Partner since 1996 and we have chosen IBM because of its expertise and technology. IBM has deep expertise, a strong track record and proven solutions to help organizations achieve their business goals. More than 13,000 global companies, organizations [...]
Document review is a time-consuming process that can be streamlined by cognitive capture technology. Advanced data extraction technology provides a way to capture information from highly complex documents, so key information can be verified, and compliance checks completed. DataSkill recommends using IBM Datacap to digitize all the documents involved in completing a process. Some [...]
What IBM Datacap version are you using? IBM has been releasing new versions of IBM Datacap with a ton of new features and enhancements. Version 9.1.8 is the latest one, this blog post will tell you all about the newest updates and how to upgrade to take advantage of them. IBM Automation Document Processing [...]
