下载PDF
ML Infrastructure for Commercial Real Estate Insights Platform: A Case Study on VTS
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 中间件、SDK 和库
适用行业
- 水泥
- 教育
适用功能
- 物流运输
用例
- 最后一英里交付
- 租赁金融自动化
服务
- 数据科学服务
- 培训
挑战
VTS 希望更高效地生产机器学习 (ML) 模型，同时获得使用 AWS 服务迭代构建新模型的能力。他们希望加快 ML 应用程序的上市时间、减少人为错误以及 DS 团队的努力。 VTS 在将预测模型集成到核心用户体验中时遇到了障碍。数据科学家能够在临时环境（例如 Jupyter 笔记本）中交付模型，但发现使用 VTS 平台的现有基础设施在生产中部署模型具有挑战性。 VTS 拥有出色的数据科学家，但缺乏完成这项工作所需的 AWS 和 MLOps 专业知识。
关于客户
VTS 是一家商业房地产租赁和资产管理软件和数据公司。 VTS 由经历过当今房东和经纪人面临的挑战的房地产专业人士创建，提供易于使用、直观的工作流程和见解平台，使商业房地产专业人士能够更聪明地工作，而不是更辛苦。 VTS 平台管理着超过 120 亿平方英尺的商业地产。
解决方案
Provectus 研究了如何在 VTS 上对 ML 模型进行原型设计和评估，并提供了基于模板的解决方案，使 VTS 数据科学家能够更轻松地创建 Amazon SageMaker 作业、管道、终端节点和其他 AWS 资源。由此产生的一套连贯的模板，以及使用指南和扩展指南，已成功应用于预测租赁交易结果的机器学习模型。 Provectus 建议数据科学家可以使用 VTS 特定的模板和 SDK 在 Amazon SageMaker 和其他 AWS 服务中创建作业、管道和终端节点。模板和 SDK 将由 Provectus 设计、构建和交付，VTS 数据科学和机器学习工程团队将接受有关如何使用模板和 SDK 的广泛培训和指南。
运营影响
数量效益
相关案例.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
IoT platform Enables Safety Solutions for U.S. School Districts
Designed to alert drivers when schoolchildren are present, especially in low-visibility conditions, school-zone flasher signals are typically updated manually at each school. The switching is based on the school calendar and manually changed when an unexpected early dismissal occurs, as in the case of a weather-event altering the normal schedule. The process to reprogram the flashers requires a significant effort by school district personnel to implement due to the large number of warning flashers installed across an entire school district.
Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
Revolutionizing Medical Training in India: GSL Smart Lab and the LAP Mentor
The GSL SMART Lab, a collective effort of the GSL College of Medicine and the GSL College of Nursing and Health Science, was facing a challenge in providing superior training to healthcare professionals. As clinical medicine was becoming more focused on patient safety and quality of care, the need for medical simulation to bridge the educational gap between the classroom and the clinical environment was becoming increasingly apparent. Dr. Sandeep Ganni, the director of the GSL SMART Lab, envisioned a world-class surgical and medical training center where physicians and healthcare professionals could learn skills through simulation training. He was looking for different simulators for different specialties to provide both basic and advanced simulation training. For laparoscopic surgery, he was interested in a high fidelity simulator that could provide basic surgical and suturing skills training for international accreditation as well as specific hands-on training in complex laparoscopic procedures for practicing physicians in India.
Case Study
Implementing Robotic Surgery Training Simulator for Enhanced Surgical Proficiency
Fundacio Puigvert, a leading European medical center specializing in Urology, Nephrology, and Andrology, faced a significant challenge in training its surgical residents. The institution recognized the need for a more standardized and comprehensive training curriculum, particularly in the area of robotic surgery. The challenge was underscored by two independent studies showing that less than 5% of residents in Italian and German residency programs could perform major or complex procedures by the end of their residency. The institution sought to establish a virtual reality simulation lab that would include endourological, laparoscopic, and robotic platforms. However, they needed a simulator that could replicate both the hardware and software of the robotic Da Vinci console used in the operating room, without being connected to the actual physical console. They also required a system that could provide both basic and advanced simulation training, and a metrics system to assess the proficiency of the trainees before they performed surgical procedures in the operating theater.
