自动化数据质量监控平台Anomalo近日宣布完成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由前Instacart首席增长官联合创立，该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的数据质量问题。
据悉，Anomalo的平台能够实时监测和分析数据质量，帮助企业及时发现和纠正数据问题，以确保数据驱动的决策更加准确和可靠。随着数据量的快速增长，数据质量问题日益凸显，Anomalo的技术将为企业提供强大的支持。
融资资金将主要用于推动公司产品的发展和市场扩张。Anomalo表示，未来将继续深化机器学习和人工智能技术的研究，为客户提供更加智能化的数据质量监控解决方案。
英文标题：AI Data Quality Monitoring Company Anomalo Completes B Round Financing
Keywords: AI, Data Quality, Financing
News content:
Automation data quality monitoring platform Anomalo recently announced the completion of a $33 million B round of financing. This round of financing was led by Databricks Ventures, with existing investors Norwest Venture Partners, Two Sigma Ventures, and Foundation Capital participating. Founded by the former Chief Growth Officer of Instacart, Anomalo utilizes machine learning and artificial intelligence technology to address inherent data quality issues in large datasets.
It is reported that Anomalo’s platform can monitor and analyze data quality in real-time, helping enterprises to detect and correct data issues in a timely manner, ensuring more accurate and reliable data-driven decision-making. With the rapid growth of data volume, data quality issues are becoming more prominent, and Anomalo’s technology will provide strong support for enterprises.
The funds raised will be mainly used to promote the development of the company’s products and market expansion. Anomalo said that in the future, it will continue to deepen the research on machine learning and artificial intelligence technology, and provide customers with more intelligent data quality monitoring solutions.
【来源】https://techcrunch.com/2024/01/24/anomalos-machine-learning-approach-to-data-quality-is-growing-like-gangbusters/
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