「 對於金融服務業來說，如果數據能有良好的組織，就有利於開展下一步分析

「 對於金融服務業來說，如果數據能有良好的組織，就有利於開展下一步分析， 」AWS全球金融服務業務開發總監史考特．馬林斯（Scott Mullins）這樣說，他也提到，像是AWS Lake Formation服務，就能協助使用者將數據組織化。另外，在今年re:invent宣布推出多項更新的機器學習平台SageMaker，能透過機器學習技術，協助銀行業者做到更複雜的數據分析。

結果 (英文) 1:

"For the financial services sector, if the data can have a good organization, there is conducive to further analysis," the global financial services business development director Scott AWS. Mullins (Scott Mullins) said that he also mentioned, like AWS Lake Formation service, users will be able to help organize data. In addition, this year re: invent announced a number of updates of machine learning platform SageMaker, through machine learning techniques can help bankers to do more complex data analysis.

結果 (英文) 2:

"For the financial services industry, if the data is well organized, it's good for the next analysis, " says Scott, director of global financial services business development at AWS. Scott Mullins, the chief executive, also mentioned that AWS Lake Formation services could help users organize data. In addition, this year re:invent announced the launch of a number of updated machine learning platform SageMaker, which can help bankers with more complex data analysis through machine learning technology.

結果 (英文) 3:

"For the financial services industry, if the data can be well organized, it will be conducive to the next step of analysis," said Scott Mullins, director of global financial services business development at AWS, who also mentioned that, for example, AWS Lake In addition, in this year, re: invent announced the launch of a number of updated machine learning platform, sagemaker, which can help banks to do more complex data analysis through machine learning technology.