1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

Data Product Agent Mesh makes the promise of Data Mesh practical by solving its operational complexity through intelligent ...

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 ...

"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 ...

We have had data on the brain for the past few months. Building on the discussion of the brewing battle for data platform dominance, I thought it would be good to unpack what a data product is. We can ...

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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 ...

In the past decade, companies have spent billions on data infrastructure. Petabyte-scale warehouses. Real-time pipelines. Machine learning (ML) platforms. And yet — ask your operations lead why churn ...

Google revamped their product structured data documentation by splitting up one comprehensive page into three pages that are more closely focused on their topics, providing an example of how to ...

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 ...