ThinkTWENTY20

During the pandemic, companies have been finding their existing data management processes  are in need of repair. They had previously been trying to implement Machine learning and AI to speed up and optimise their decision processes. However, the need for streamlined processes has been growing as a result of disruptions like shifting supply chains and relocated workplaces.

Accordingly, businesses have been striving for end-to end process automation, linking all related processes. (https://www.cio.com/article/3618408/the-quest-for-end-to-end-intelligent-automation.html) AI is generally viewed as the prime solution for this effort. Also, the emerging concept of data fabrics is a key element.

“Gartner defines data fabric as a design concept that serves as an integrated layer (fabric) of data and connecting processes. A data fabric utilizes continuous analytics over existing, discoverable and inferenced metadata assets to support the design, deployment and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” (https://www.gartner.com/smarterwithgartner/data-fabric-architecture-is-key-to-modernizing-data-management-and-integration/) 

The world is moving faster than ever and the need for better data driven decision making is a major element of this change. (www.thinktwenty20.com)