Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

In a previous article, we discussed how field data provides engineers with insight into how systems behave in the real world. That’s where things like real usage, physics, and operating conditions ...

McKinsey''s 2025 global AI survey found that nearly two-thirds of organizations had not yet begun scaling AI across the enterprise. The gap between a pilot and a dependable business system rarely ...

Every few months, the enterprise AI conversation resets around the same flawed premise that better models solve the problem. When large language models hallucinate, the instinct is to reach for a ...

Modeling how cars deform in a crash, how spacecraft respond to extreme environments, or how bridges resist stress could be made thousands of times faster thanks to new artificial intelligence that ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...