As artificial intelligence transforms every industry, organizations are placing an increased focus on the quality of their data. The ability to generate value from AI depends not only on computational ...

Just the other day, I was arguing my point to a colleague. I was pretty stuck in my ways, angry, unable to see his perspective. I was at the point of just wanting to end it and walk away. Until I ...

Abstract: In a formal data analysis workflow, data validation is a necessary step that helps data analysts verify the quality of the data and ensure the reliability of the results. Data analysts ...

Every decade in business brings a new buzzword. The 1980s had “re-engineering.” The 1990s, “synergy.” The 2000s, “disruption.” The 2010s gave us “digital transformation.” Today the phrase still ...

WASHINGTON — The Army is undergoing a significant transformation, shifting its focus to a data-centric approach to ensure warfighting superiority in future conflicts, said Lt. Gen. Jeth Rey, deputy ...

Abstract: Magnetic anomaly pole transformation converts magnetic field data into an equivalent response at the true magnetic pole, eliminating shifts and distortions, simplifying the interpretation of ...

As nuclear operators face increasing demands for agility, safety, and cost control, the industry is under pressure to modernize how data is used across the asset lifecycle. Real-time operational ...

MARLBOROUGH, Mass., July 30, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company and an Elite Tier partner of Snowflake, the AI Data Cloud company, today announced that India's ...

AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. Most AI initiatives fail not because of algorithmic ...

Historically, when defining a network architecture, it's been fairly easy to create buckets or silos of data. Whether the data was gathered from one system here and one system there, or from one ...