Supply Chain World Volume 10, Issue 3 Volume 10, Issue 3 | Page 21

______________________________________________________________________________________________________________ Data
constraints change . Organizations need to harmonize disparate data and make it easy for themselves to use AI and ML .
The data fabric
In the real world , this is only possible through adoption of a data fabric approach – an architectural approach founded on a unified data platform that has embedded AI and ML capabilities . This should be able to ingest data from any source and in any format , including real-time event and transactional data as well as data at rest . Such a platform will integrate data
Companies are increasingly aware they must provide a bridge between applications and data silos
and processes from different systems for intelligent , informed decision-making .
Taking this one step further is the smart data fabric approach . This relies on a data platform with embedded analytics provides line-of-business decision-makers with access to descriptive , predictive ,
and prescriptive insights that transform their ability to make the right calls when the pressure is on . They can see what is likely to be a problem or opportunity so early they achieve vastly better outcomes than by relying on any other approach .
The ability to adapt models to incorporate the most relevant information , from a range of disparate sources and to access AI and ML capabilities , is critical for organizations wishing to stay one step ahead of the competition . This is especially true in an unpredictable world where experience alone is not enough to foresee and deal effectively with every threat and opportunity . ■
For a list of the sources used in this article , please contact the editor .
Mark Holmes www . intersystems . com / uk
Mark Holmes is Senior Advisor for Global Supply Chain , at InterSystems . Established in 1978 , InterSystems is the leading provider of next-generation solutions for enterprise digital transformations in the healthcare , finance , manufacturing , and supply chain sectors . Headquartered in Cambridge , Massachusetts , InterSystems cloud-first data platforms solve interoperability , speed , and scalability problems for large organizations around the globe .
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