Lumiata Extends Data Preparation for Healthcare Customers on AWS and Azure in Partnership with Ascend.io
Lumiata has announced a new partnership with Ascend.io in order to provide customers with access to its proprietary data preparation process. This relationship will ensure that all Lumiata customers, regardless of their cloud environment, can work seamlessly with the company in their own virtual private cloud environment (VPC).
Lumiata’s proprietary data preparation process is a data management solution for healthcare companies that need their healthcare data machine learning ready and solves the “garbage-in, garbage-out” cycle.
Recommended AI News: G2 recognizes RFP360 as Best Software for 2021
Lumiata works with healthcare companies to provide AI predictions for financial and clinical risk management. The Ascend Unified Data Engineering Platform offers the solution to quickly and simply build the underlying data pipelines required—all with 95% less code and automated maintenance of the pipelines. The partnership enhances Lumiata’s offering to healthcare companies with a cloud-agnostic solution for data preparation and access to the Lumiata Data Management pipeline, including data normalization, enrichment, and tagging with Lumiata’s proprietary disease codes, to generate Person360 records. The Lumiata data preparation process prepares customers’ data so it is machine-learning ready.
“Lumiata has been looking for an opportunity to efficiently and effectively support customers on AWS and Azure,” said Miguel Alvarado, Lumiata CTO. “Ascend.io is the right partner to agnostically deliver our Data Management pipeline to healthcare customers that need to maintain their data in a VPC.”
Recommended AI News: Quantiphi Named as an IDC Innovator in Artificial Intelligence Services
“AI, machine learning, and predictive analytics have quickly become vital technologies across industries, and healthcare is no exception,” said Sean Knapp, CEO and founder of Ascend.io. “Designed from the ground up to run natively on AWS, Azure, or GCP, the Ascend platform easily fits into any data ecosystem, providing a unified fabric for companies to run their businesses in any environment. We are thrilled to bring the power of the Ascend platform to Lumiata and support the company on its mission to democratize AI in healthcare—across any cloud environment.”
Recommended AI News: IP Infusion Selected by EvoNet as Key Partner for Future Network Expansion
Copper scrap recycling regulations Copper scrap reclaiming Industrial scrap metal management
Copper cable recycling export, Metal waste repurposing, Copper scrap crushing
在国外大学，学术写作是评估学生能力和知识掌握的重要方式，尤其是在文科、社会科学和商科等领域，作业论文的质量直接关系到学生的成绩。许多留学生在学习初期，由于缺乏语言能力或对学术规范不熟悉，往往难以达到课程的写作要求。论文作业代写 http://www.emwchinese.com/store 服务通常由熟悉特定学科的专业写手提供支持，他们能够按照学术标准，撰写符合学校要求的高质量作业。这种专业支持不仅帮助学生获得更高的成绩，还让他们更直观地了解学术写作的结构和要求，有助于他们未来逐步掌握写作技能和学术表达方式。