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Improving Data Quality Using AI and ML

In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […]

Mind the Gap: AI-Driven Data and Analytics Disruption

We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]

Unlocking Unstructured Data: Fueling AI with Insights

IDC reports that around 90% of the data in the digital world is unstructured. This encompasses data like PDFs, PowerPoints, emails and images, all containing valuable information that traditional structured databases can’t gather. As artificial intelligence (AI) becomes more widespread, the importance of unstructured data grows. Businesses now face the challenge of organizing and utilizing these diverse data sources so AI models can fully leverage their potential, which is much easier said than done.  […]

Protecting Machine Learning Systems in the GenAI Era

As GenAI and machine learning (ML) become more widespread across industries, their high levels of adoption have created a major challenge: security. While every organization and IT team has its own security protocols and frameworks, many are starting to realize that traditional approaches aren’t enough when it comes to protecting themselves from the potential threats […]

How Data Accessibility Shapes Business Intelligence

Business intelligence (BI) ensures organizations and enterprises make measured decisions. And teams are aware of its importance. However, many analytics teams in businesses struggle with slow, fragmented, or downright counterproductive BI systems. What’s interesting is that these challenges do not emerge due to a lack of sophisticated technologies or adequately trained employees. The main culprit […]

Harnessing Data Lineage to Enhance Data Governance Frameworks

At a time when even the smallest organizations have data from multiple sources undergoing various transformations, ensuring data accuracy, security, and compliance has never been more critical. This reality has led to a proliferation of robust data governance frameworks, i.e., the systems, policies, and procedures that manage data as a strategic asset. One vital ingredient […]