Striim, a privately owned software development company founded in 2012 and headquartered in the US, employs approximately 240 people. The company's primary offering is a platform designed for unified data integration and streaming.
A recent MIT report indicated that 95% of enterprise AI initiatives failed to reach production or deliver a measurable return on investment, despite significant investment. This failure is partly attributed to the use of delayed data in AI systems, described as a significant problem for business decisions in a recent Forbes article. Another report highlighted that 95% of enterprise AI pilot projects failed to deliver meaningful results, citing data infrastructure unpreparedness for AI as the primary issue. The need for real-time data access is emphasized, with real-time Change Data Capture (CDC) platforms gaining traction due to their ability to stream data changes from source databases to targets like data warehouses and data lakes. Data fragmentation across systems also presents challenges for enterprises, creating delays and hindering the transformation of data into insights.
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