Traditionally marketing functions in banks were accountable for building brand awareness and, to some degree, generating revenue. As post-pandemic trends show, functional areas of...
Amazon Web Services unveiled the Amazon Security Lake, a standards-based data lake for security data, at this week's AWS re:Invent 2022 conference. The new...
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step...
Machine learning (ML) helps organizations increase revenue, drive business growth, and reduce cost by optimizing core business functions across multiple verticals, such as demand forecasting, credit scoring, pricing, predicting customer churn, identifying next best offers, predicting late shipments, and improving manufacturing quality. Traditional ML development cycles take months and require scarce data science and ML […]
Data lakes have become the norm in the industry for storing critical business data. The primary rationale for a data lake is to land all types of data, from raw data to preprocessed and postprocessed data, and may include both structured and unstructured data formats. Having a centralized data store for all types of data […]
In the era of rising customer expectations and savvier consumers, financial organisations are under increased pressure to provide customers with hyper-personalised experiences. In fact, more than half of customers expect
The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits. The fact that industry leaders are discussing the need for a semantic […]
