近日，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，由 Databricks Ventures 领投，Norwest Venture Partners、Two Sigma Ventures 和 Foundation Capital 等现有投资者参投。Anomalo 是一家由前 Instacart CGO 创立的企业，专注于通过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。
Anomalo 的核心技术可以帮助企业自动识别并修复数据集中的错误和不一致性，包括重复记录、缺失值、格式错误等问题。这些问题不仅会影响数据分析的结果，还可能导致业务决策的偏差和风险。
此次融资将使 Anomalo 能够进一步扩大研发团队，并加强与客户的合作，推动其在数据质量管理领域的创新和发展。Anomalo 表示，他们将继续致力于提供高效、准确的数据管理解决方案，帮助企业实现数据驱动的业务增长。
英语如下：
News Title: “Anomalo, Data Quality Monitoring Star, Secures $33 Million in Series B Funding!”
Keywords: Anomalo, data quality monitoring, Series B funding
News Content: Recently, automated data quality monitoring platform Anomalo announced the completion of its $33 million Series B round of financing, led by Databricks Ventures with participation from existing investors Norwest Venture Partners, Two Sigma Ventures, and Foundation Capital. Anomalo was founded by former Instacart CGO and focuses on solving data quality issues in large datasets using machine learning and artificial intelligence technology.
Anomalo’s core technology can help enterprises automatically identify and correct errors and inconsistencies in their datasets, including duplicate records, missing values, and format errors. These issues not only affect the results of data analysis but may also lead to biases and risks in business decisions.
The new funding will enable Anomalo to expand its research and development team further and strengthen collaboration with customers, driving innovation and growth in data quality management. Anomalo stated that it remains committed to providing efficient and accurate data management solutions to help businesses achieve data-driven growth.
【来源】https://techcrunch.com/2024/01/24/anomalos-machine-learning-approach-to-data-quality-is-growing-like-gangbusters/
Views: 1