The surge in data creation and interactions over the past few decades presents unprecedented challenges for organizations. Many are grappling with widely dispersed applications and data to navigate this data deluge. Gartner’s survey found that organizations with poor data quality would incur losses of an average of $15 million per [...]
Test data management (TDM) is a time and resource-intensive process for numerous big corporations. To illustrate, at one American insurance company, test data collection accounted for 16% of all testing activities, translating into $3 million spent on TDM for a project costing $20 million. By introducing sophisticated TDM processes, [...]
According to the World Health Organization (WHO), Up to 50% of medical errors in primary care stem from administrative issues. There is a projected shortfall of 10 million health workers by 2030. Given the statistics highlighting device errors and a shortage of maintenance professionals exacerbate healthcare challenges, Generative AI in medical devices [...]
In the digital age, data is the lifeblood of organizations, driving strategies, innovation, and decisions. However, harnessing its power requires more than just collecting the data. It demands meticulous management of data quality, governance, and lineage. These pillars form the backbone of informed decision-making, enabling organizations to transform raw [...]
Data migration refers to the process of moving data from one location to another. In the context of Oracle Cloud, data is transferred from on-premises systems or other cloud platforms to Oracle’s cloud infrastructure. Whether you’re migrating databases, applications, or entire systems, a complete approach is critical to a [...]
The financial crisis of 2008 exposed vulnerabilities in the global banking system. In response, the Basel Committee on Banking Supervision (BCBS) introduced the Basel III reforms, a set of regulations designed to strengthen banks’ capital adequacy and risk management practices. Basel 3.1, the latest iteration of these reforms, is [...]
In the vast realm of machine learning, it’s well-known that data is the lifeblood that drives model performance. Yet, as we dive deeper into the intricacies of machine learning, a pertinent question arises: Is it just about accumulating vast amounts of data? The Deep Dive into Computational Learning Theory At the [...]
Data has always been an important part of any business. A company’s data is its most valuable asset as it contains information about the procurement of resources to the customer relationship. With the rise of Big Data, more companies are trying to collect and store all information about their [...]
Data governance and management is a term that has become more commonplace in recent years. However, many organizations still struggle to implement effective data governance and management strategies. This lack of focus is becoming more and more apparent as the importance of data management continues to grow. 4 Pillars of [...]
