"A data product is a self-contained, ready to consume data solution that we organize to solve a specific business problem," said Aminul Khan, global head of marketing data strategy and data ecosystem ...

As enterprises rush to embrace Generative AI (GenAI), many quickly realize that technology isn’t the first hurdle, it’s the data. In my experience, launching any AI initiative, especially ...

Data integration company QlikTech International AB said today it has closed on another acquisition, snapping up the artificial intelligence-powered data-as-a-product startup Mozaic Data for an ...

The concept of a data mesh has been around for a few years. At a high level, it’s a data platform architecture that allows users to access data without transferring it to one of two places: a data ...

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

Through the continuing evolution of the modern data platform, there is an exciting turn towards new architectural patterns and terms. What started with ‘data warehouses’ soon became ‘data lakes’ and ...

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No Jitter Insight: Enterprises have a lot of siloed data – their customer data may live in a CRM while billing data lives in an ERP – so it can be hard to connect the customer history to their payment ...

Across industries, companies are racing to implement AI. Yet while models get built, dashboards deployed, and pilots launched, enterprise adoption often stalls. Most efforts fail to translate ...

Even in an area of cybersecurity as essential as data protection, the stakes continue to climb higher in 2025. The pressures have mounted both from the intensification of data theft and extortion ...