オープンデータ関連のニュースです。
日本語
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English
– Relatively few healthcare organizations have the resources or analytics maturity to develop their own intricate big data analytics infrastructure from scratch, but a growing number of vendors are starting to make the daunting and costly process easier by offering artificial intelligence and machine learning as a service (MLaaS). The “as a service” industry, which has quickly branched out to cover a number of critical data-heavy use cases, allows organizations to contract with third-party vendors that do the heavy lifting in terms of data collection, storage, movement, and analytics. Many healthcare stakeholders are already familiar with MLaaS technologies, even if the acronym itself is new to them.
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