As global multinationals ramp up their investments in digitizing data, the need for data fabrics in managing AI and Analytics lifecycle becomes increasingly critical. This article explores the role of data fabrics in transforming data into actionable insights and the potential impact on supply chain efficiency, safety, customer service, and profitability.
The Growing Importance of Data Fabrics in AI
The pandemic has seen many global multinationals accelerate their investments in digitizing data. However, the challenges lie not just in the volume of data but also its complexity and fragmentation. This data, often generated by sensors, machines, and smart factories, is usually disconnected and scattered across various applications, making it difficult to harness for insights and decision-making. This is where data fabrics come in. They refer to an architecture that supports a unified approach to data management, working across an AI and Analytics lifecycle. This lifecycle includes managing data, developing models, and deploying insights.
Aera Technology’s Approach to Data Fabrics
Aera Technology, led by CEO Frederic Laluyaux, has built solutions on top of a data fabric that allows a solution provider to embrace a broader set of business use cases. Aera has developed a “data quality skill” that informs the user about the completeness, accuracy, and consistency of data elements needed to support a wide range of automated decisions. The company has spent hundreds of millions of dollars on building their platform, which has digitized over 25 million recommendations so far this year.
As the need for course corrections in the supply chain arena explodes, the current way companies manage data is becoming unsustainable. Data fabrics can simplify the AI and Analytics lifecycle, weaving together a unified layer for data management and integration across a company’s IT environment. As we move forward, the development of new models that can operate effectively on the edge, in the enterprise cloud, or across the extended supply chain will be crucial. Will your company be ready to embrace this change?
