"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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data observability leader, today announced Data Product Das hboard, a new capability that allows customers to easily define a data or AI product, track ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2024, 01:42pm EDT Jul 03, 2024, 03:29pm EDT MADRID, ...

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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 ...

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 ...

AI is only as good as the data it's built upon, and as the AI era continues to evolve, the organizations that succeed won't just be the ones that have more data – they'll have better data products.

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 ...

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 ...

A total of 837 data products had generated over 19.6 billion yuan ($2.84 billion) in economic value through licensing, ...

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 ...