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Telmai, an AI-driven data observability platform, has released its latest version featuring seven category-defining features designed to simplify and accelerate data observability adoption for the enterprise. These features include time travel analysis, multi-attribute data contracts, root cause analysis of data failures, and private cloud offerings. Telmai is demonstrating its new release at the Big Data London conference and will present a talk on data observability use cases. The new release is based on its core product pillars of time travel analysis, BYOC, data quality, and data residency.