近日，由前Instacart首席增长官联合创立的自动化数据质量监控平台Anomalo，宣布完成3300万美元的B轮融资。此轮融资由Databricks Ventures领投，现有投资者Norwest Venture Partners、Two Sigma Ventures、Foundation Capital参投。
Anomalo公司致力于利用机器学习和人工智能技术，解决大型数据集中固有的数据质量问题。在现今大数据时代，数据质量问题日益凸显，成为企业及机构在数据分析、挖掘过程中的瓶颈。Anomalo的自动化监控平台，可为企业提供全面的数据质量检测、诊断和优化方案，提升数据的价值和可用性。
此次融资将用于进一步扩大公司规模，提升产品研发和市场竞争力。Anomalo表示，将继续深耕数据质量领域，助力企业实现数据驱动的决策和创新。
英文翻译：
News Title: Automated Data Quality Monitoring Platform Anomalo Raises $33 Million in Series B Financing
Keywords: Data quality, automated monitoring, artificial intelligence
News Content:
Recently, Anomalo, an automated data quality monitoring platform co-founded by the former Chief Growth Officer of Instacart, announced the completion of a $33 million Series B financing round. The round was led by Databricks Ventures, with existing investors Norwest Venture Partners, Two Sigma Ventures, and Foundation Capital participating.
Anomalo is dedicated to using machine learning and artificial intelligence technology to solve the inherent data quality problems in large-scale data sets. In today’s big data era, data quality issues have become increasingly prominent, becoming a bottleneck in the process of data analysis and mining for enterprises and institutions. Anomalo’s automated monitoring platform provides enterprises with comprehensive data quality detection, diagnosis, and optimization solutions, enhancing the value and usability of data.
This financing will be used to further expand the company’s scale, enhance product research and development, and improve market competitiveness. Anomalo indicates that it will continue to deepen its focus in the data quality field, helping enterprises achieve data-driven decision-making and innovation.
【来源】https://techcrunch.com/2024/01/24/anomalos-machine-learning-approach-to-data-quality-is-growing-like-gangbusters/
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