How AI is Revolutionizing Accounting with Digits and Google Cloud
公司规模
Startup
地区
- America
国家
- United States
产品
- Digits Transaction Review
- Vertex AI Model Registry
- Vertex AI Pipelines
- Vertex AI Streaming Ingestion for Matching Engine
技术栈
- Google Cloud
- Vertex AI
- Kubernetes
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
- Innovation Output
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 数据管理平台
- 应用基础设施与中间件 - API 集成与管理
适用行业
- Software
- 金融与保险
适用功能
- 商业运营
- 质量保证
用例
- 预测性维护
- 过程控制与优化
- 远程资产管理
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
- 系统集成
关于客户
Digits is an AI accounting startup founded in 2018, focused on leveraging machine learning and cloud services to transform accounting workflows. The company aims to simplify and expedite accounting processes for businesses, enabling them to better understand and act on their financial status. Digits offers products like Digits Transaction Review, which uses machine learning to categorize and verify expense transactions, providing context for ledger entries. The startup is known for its innovative approach to integrating machine learning into accounting, making the entire pipeline faster and smarter. With a team of experts, including Hannes Hapke, a Google Cloud Champion Innovator, Digits is dedicated to revolutionizing the accounting industry by aligning teams, streamlining processes, and scaling models effectively.
挑战
The primary challenge faced by Digits, an AI accounting startup, was to efficiently scale its machine learning operations to serve paying customers. While the company had developed innovative machine learning models, the complexity of building scalable systems and MLOps processes was a significant hurdle. The team needed to manage and deploy models efficiently, handle infrastructure management, and streamline MLOps tasks without incurring high engineering overhead. Additionally, they required a solution that could support parallel processing, use of GPUs, and implementation of different MLOps processes, which their existing systems could not handle without significant engineering effort.
解决方案
Digits turned to Google Cloud's Vertex AI to overcome its challenges in scaling machine learning operations. By utilizing Vertex AI Model Registry, Digits streamlined the management and deployment of models, reducing the engineering effort required for introducing new models and scaling resources. This allowed the team to focus on building innovative ML models and products rather than infrastructure management. Vertex AI Pipelines further helped Digits enforce governance, troubleshooting, and MLOps tasks, standardizing models as they moved toward production. The platform facilitated deployment through a CI/CD system, ensuring compliance and efficiency. Additionally, Vertex AI's Streaming Ingestion for Matching Engine enabled real-time data updates, allowing Digits to deliver features and analysis promptly. This capability was crucial for products like Digits Boost, which automates manual quality control tasks, providing immediate feedback to customers.
运营影响
数量效益
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