The data that is stored in vector databases is key to the success of generative AI (GenAI) for enterprises in all industries. Up-to-date, private data in company data sources, including unstructured data and structured data, is what is required during AI inferencing to make GenAI models more accurate and relevant. To make the data systematically […]
The Rise of BYOC: How Data Sovereignty Is Reshaping Enterprise Cloud Strategy
Enterprise technology leaders face mounting pressure to balance competing priorities. Cloud platforms offer unprecedented innovation, potential, and scale, but regulatory compliance requirements and data control mandates create friction when trying to consolidate everything in a public cloud. And shifting to a full SaaS environment just gives up too much control for these large companies, creating […]
Webinar: Why Lineage Still Fails — and What Modern Metadata Platforms Must Do About It
Download the slides here >> This webinar is sponsored by: About the Webinar Data lineage is one of the most in-demand capabilities for enterprise data teams — but most solutions fall short when it comes to real-world complexity. Join this session to explore why so many lineage initiatives fail to scale, and how MetaKarta is redefining the […]
Deconstructing Knowledge Graphs and Large Language Models
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 […]
What Is Data Integration?
Data integration combines information from multiple sources into unified, reliable data that drives business operations and decision-making. It consolidates data from databases, applications, spreadsheets, and tribal knowledge into a single cohesive system for effective use. Modern businesses generate vast amounts of data across different systems and departments. Without data integration, this information remains scattered and difficult to use. With it, organizations can […]
DAS Webinar: Master Data Management – Aligning Data, Process, and Governance
Download the slides here >> About the Webinar Master data management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration […]
Fundamentals of Data Access Management
Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes data your company’s most valuable non-human asset. As the revenue potential of data increases, the job of protecting that data becomes more important and more challenging. […]
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 […]
AArch Webinar: The Data Observability Advantage – Unlocking the Secrets to Reliable, High-Quality Big Data
Download the slides here >> About the Webinar In the age of big data, observability has become a critical competency for ensuring data reliability and performance. This session will provide a comprehensive exploration of modern data observability strategies, demonstrating how advanced monitoring, lineage tracking, and anomaly detection techniques can dramatically improve data quality and build […]