Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready ...

The data consumers can rely on a single standardized set of data, provided through both streams and tables, to power their operations, analytics, and everything in between. We create the headless ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

With the rapid success of OpenAI's ChatGPT and other emerging types of AI solutions in the last several years, organizations have been scrambling to adopt artificial intelligence by 'any means ...

Examples of data you might want to include in your warehouse include: Digital data, such as page views, users and visits (from Google, Adobe Analytics, etc.) CRM data (from Salesforce, Marketo, etc.) ...

For example, setting a concrete objective like reducing customer churn by 15% through predictive analytics will lead you to identify key churn indicators, integrate real-time data feeds and deploy ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

In a world where data is everywhere but clarity is rare, the real challenge is no longer access, it’s action. For over a decade, engineering leader and strategist Naveen Edapurath Vijayan has been ...

Domino, the Enterprise AI platform trusted by the largest AI-enabled companies and major government agencies, is announcing the launch of its Vibe Modeling offering, available via Domino's GitHub ...