2023年6月14日

砖击中1 b美元收入的里程碑,因为它双打了AI分享大数据分析公司数据砖公司今天透露,收入超过了10亿美元的里程碑最近财年期间,当时它是多元化业务到新的领域,如人工智能。多样化持续快速增长的今天,作为该公司宣布收购一个叫做卢比孔河Inc . AI存储启动私人控股公司去年8月宣布目标10亿美元的收入,和今天表示,其销售增长了60%以上在截至1月份的财年。跳的原因之一是Databrick数据仓库提供的数据砖SQL,创造了1亿美元的折合成年率经常性收入今年4月,彭博社的一份报告称。砖首席执行官阿里Ghodsi(如图)对彭博社说,他认为它已成为世界上增长最快的软件公司。它见证了巨大的需求企业正努力组织数据利用人工智能的新进展。这些客户也在相当大的努力减少他们昂贵的云基础设施成本,他说。Ghodsi说砖SQL是受欢迎的,因为它帮助组织显著减少云计算成本。云消费者越来越关心他们的支出,他补充说。尽管在数据仓库砖与雪花公司竞争的空间,它以帮助企业更好地分析他们的数据。它让它的名字作为数据分析工具,和到目前为止提出了35亿美元的风险资本融资。 The company was valued at a cool $38 billion following its last funding round in 2021, though it has since reduced that figure. However, CB Insights still ranks Databricks as the world’s eighth most-valuable startup. Ghodsi told Bloomberg that Databricks is keen to hold an initial public offering eventually, but the company is in no rush to do so yet. Not only are the markets unreceptive to IPOs right now, but being private means Databricks has the freedom to make some significant investments in areas such as AI, where it desperately wants to become a major player. Databricks has made a big push in AI lately, open-sourcing a generative AI model similar to OpenAI LP’s ChatGPT in March as part of a bid to democratize access to large language models. That model, called Dolly, was subsequently improved with the launch of Dolly 2.0 in April. Notably, Dolly 2.0 comes with a license that permits commercial use, meaning enterprises are free to fine-tune it using their own datasets and create AI models they can then monetize. The launch of Dolly 2.0 was followed by the acquisition of an AI data governance startup called Okera Inc. , which provides tools for discovering, classifying and tagging sensitive data. Companies can use Okera’s tools to create access policies that provide them with more control over such data, Databricks explained at the time. Continuing those efforts, Databricks announced its latest acquisition today – a stealth startup called Rubicon Inc. that’s building next-generation storage infrastructure for AI. Ghodsi told Bloomberg that it would have been much more difficult for Databricks to justify those acquisitions if it were a public company. The financial terms of the Rubicon and Okera acquisitions were not disclosed, but they were most likely expensive. When it comes to buying AI-focused companies, “right now you have to pay up,” Ghodsi said. Photo: SiliconANGLE A message from John Furrier, co-founder of SiliconANGLE: Your vote of support is important to us and it helps us keep the content FREE. One-click below supports our mission to provide free, deep and relevant content.