While knowledge graphs (KGs) and large language models (LLMs) each offer distinct strengths, their full potential is most effectively realized when synergized in combination. LLMs bring powerful generative capabilities with broad understanding of language but lack structured context and factual grounding needed for consistent accuracy and reasoning. Knowledge graphs, on the other hand, provide a […]
Achieving Successful Outcomes: Why AI Must Be Considered an Extension of Data Products
In many organizations, AI exists as a secret weapon. It’s essentially locked away in a box, brought out to work on a limited use case, and then put back into the box. However, using AI in this limited fashion eliminates the huge potential impact that AI can have across one’s business. This is where DataOps, short […]
DataOps and Scalability: The One-Two Punch for Creating Successful Data Products
Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether it’s an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these […]
Why Data as a Product Is Replacing Dashboards in the Modern Enterprise
For years, organizations have invested heavily in dashboards, data warehouses, and centralized reporting platforms. Yet many still struggle to turn their growing volumes of data into real business results. The problem isn’t the data, it’s how we think about it. Business leaders must treat data not merely as an asset to be stored and queried, […]
Best Practices for Automating Complex Unstructured Data Migration
In today’s data-driven business environment, enterprises are increasingly relying on sophisticated data migration strategies to manage and move vast amounts of information, particularly unstructured data. As enterprise IT infrastructure evolves, so too does the complexity of data migration. The scale, speed, and accuracy required to successfully migrate large datasets – often containing billions of files […]
Change Data Capture and the Value of Real-Time Data Integration
Business insights are only as good as the accuracy of the data on which they are built. According to Gartner, data quality is important to organizations “in part because poor data quality costs organizations at least $12.9 million a year on average.” So, we believe that it stands to reason that providing access to the […]
The Rise of the AI Data Engineer
Although it’s a rewarding career, the job of chief data officer (CDO) comes with a long list of challenges, including massive data volumes and complexity, lack of high-quality data, privacy regulations, executive alignment, artificial intelligence (AI) and machine learning integration, and bridging the gap between technical data expertise and business objectives. What’s more, CDOs struggle […]
Data Fabresh: The Fusion Between Data Fabric and Data Mesh
In a world where data is the most valuable asset for decision-making, companies are looking for approaches that allow them to optimally manage, govern, and leverage information. Data “fabresh” has emerged as an innovative model that combines the best of data fabric and data mesh, fusing technological robustness with a decentralized organizational approach. What Is […]
AI and High Availability Clustering – The Future of Self-Managing Systems
Artificial intelligence is changing everything – and its impact on high availability (HA) clustering is no exception. The way in which AI and HA are coming together is making clusters more resilient, self-sustaining, and increasingly smarter at handling workloads. In other words, instead of IT professionals continuously putting out fires – constantly adjusting and working […]
Thriving in the “Second Wave” of Big Data Modernization
The idea of managing data at tremendous scale is hardly new. Most businesses embraced the concept of “big data” and associated technologies (like data lakes) at least a decade ago. However, the adoption of modern AI technology has introduced major new challenges to the big data world – so many, in fact, that it feels […]