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Privacera Enhances AI Governance Solution with Access Control and Data Filtering

According to a new press release, Privacera, the pioneering AI and data security governance company founded by the minds behind Apache Ranger, has unveiled new features enhancing access control and fine-grained data filtering for Vector DB/RAG within Privacera AI Governance (PAIG). Don Bosco Durai, Privacera’s co-founder and CTO, emphasized the importance of maintaining original source […]

Women in Data: Meet Dr. Christina Sandema-Sombe

The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. (Read our previous Q&A here.)  Dr. Christina Sandema-Sombe first learned the joys – and challenges – of working with data as the global impact measurement lead at a humanitarian aid organization. Over a decade […]

Data Stewardship Best Practices

As we continue to do business in a digitally connected world, more data-driven organizations are prioritizing data stewardship and following best practices to improve data quality and management. Data stewards maintain and protect data assets that need special care, not just for cybersecurity but for better business insights and more informed decision-making. In his presentation at a […]

Case Study: Establishing a Data-Literate Culture

Imagine a rapidly expanding small business with a 20% yearly growth tasked with establishing and maintaining a data-literate culture. Then, add a new Data Architecture upgrade with considerable changes to the business logic to this situation, causing a full-on panic. This journey, marked by confusion over data definitions and anxiety over system changes, describes the situation that Brooke Gajownik, director of […]

Fundamentals of Data Classification

The process of data classification can be broadly described as the organization of data into relevant categories, allowing it to be accessed and protected more efficiently. In the simplest terms, the data classification process ranks data based on its security needs and makes it easier to locate and retrieve data. Classification is especially useful to […]

How to Ensure Data Quality and Consistency in Master Data Management

In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data. This evolution underscores the importance of master […]

Data Lakehouse Architecture 101

A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […]

Demonstrating the Value of Data Governance

As organizations strive to become more data-driven, they increasingly recognize the importance of Data Governance (DG), a business program supporting harmonized data activities. However, business leaders, colleagues, and workers often express confusion about DG policies and need clarity around its value. This article tackles this issue by exploring the top 10 ways for effectively articulating the value […]