The adoption of Open Banking is well underway in many countries and is already operational in the United Kingdom under the Open Banking standard.
Data, in any corporation, especially Microsoft, Facebook, Amazon, Netflix, or Google (FANG), all heavily rely on collecting, analyzing, and utilizing data to make comprehensive business decisions.
By reading this article, you will understand how to maximize cloud ROA, optimize spend and reduce total cost of ownership. Read now.
In 2018, SAP Adaptive Server Enterprise (ASE), also known as Sybase, announced to the world the end of mainstream maintenance (EoMM) by 2025.
For those of you who may not know, Sybase also known as SAP Adaptive Server Enterprise (ASE), announced the end of mainstream maintenance (EoMM) by 2025.
Business communication is an integral component to workplace success, even more so with the workforce spread across different geographic locations due to the pandemic.
The latest evolution in manufacturing, Industry 4.0 is the next frontier in boosting productivity, reducing manufacturing costs, and enhancing process efficiency.
Since the adoption of Open Banking in Europe, we’re already seeing the benefits and effects it has on their changing financial landscape.
The goals of Open Banking are to create better financial transparency for customers, provide customers with more affordable and useful services, and to promote a more competitive and innovative financial ecosystem.
The concept of Data Reusability lies at the foundation of nearly all the current priorities for the financial services industry, including operational resilience, digital transformation, and ESG transformation.
With the reality of climate change becoming more apparent with each passing year, companies across industries have started taking a long-term view of the sustainability of their operations.
In the first chapter of this three-part series, we looked at the sources of climate-related data and methods of data collection.
The manufacturing industry has evolved rapidly over the years, embracing new technologies to increase operational efficiency, profitability, and meet dynamically changing customer needs.
For organizations that built their data estates ten years ago, Hadoop was likely the go-to platform for data lakes at the time.
In recent years, Databricks has made its mark as a unified analytics framework that makes it easier for users to collaborate and share code and resources.