Pachyderm 如何帮助 Adarga 分析大量信息
地区
- Europe
国家
- United Kingdom
产品
- Adarga Knowledge Platform
- Pachyderm
技术栈
- Natural Language Processing (NLP)
- Machine Learning (ML)
- Seldon
- Weights and Biases
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 自然语言处理 (NLP)
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 国家安全与国防
- Software
适用功能
- 产品研发
- 质量保证
服务
- 数据科学服务
- 软件设计与工程服务
关于客户
Adarga 是英国领先的国防和国家安全人工智能软件开发商之一。其强大的知识平台能够以人类无法企及的速度处理大量信息（全球新闻提要、内部 PowerPoint 和 PDF 等）。利用最先进的人工智能，可以从信息中提取出基本事实，并以各种易于理解的格式呈现给用户，大规模解锁相关、有见地且可操作的情报，从而使组织能够降低风险、快速采取行动并获得竞争优势。
挑战
Adarga 是一家 AI 软件开发公司，为组织提供构建和维护动态情报图的能力。其 AI 分析平台以人类无法实现的速度处理大量非结构化数据，例如报告、全球新闻提要、演示文稿、视频、音频文件等。该软件提取上下文中的重要事实，并以易于理解的方式呈现它们，以快速解锁可操作的见解并实现更自信的决策。然而，该公司在开发、训练、生产化和扩展必要的数据模型方面面临挑战。他们需要一种能够推动数据一致性、理解沿袭并实现模型扩展的解决方案。
解决方案
Adarga 选择 Pachyderm 作为其 MLOps 的一个关键方面，以推动数据一致性、了解谱系并实现模型扩展。Pachyderm 在模型实验期间提供了对数据谱系的清晰理解，为 Adarga 的数据科学家提供了可追溯性和可重复性所需的洞察力。这有效地为 Adarga 创建了一个受控环境，使团队能够快速评估和了解模型开发。Pachyderm 还为数据处理提供了几个关键优势。它只在添加新数据时处理它，而不是重新运行整个数据集，从而显著缩短了总体处理时间。它还允许团队切换和扩展数据集而不会影响底层架构。Pachyderm 还允许团队利用并行处理和 GPU 资源共享来加快开发速度。
运营影响
数量效益
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