• >
  • >
  • >
  • >
  • >
Google > 实例探究 > Moveo.AI Enhances CX with Google Cloud's Vertex AI for Faster, Secure LLM Deployment

Moveo.AI Enhances CX with Google Cloud's Vertex AI for Faster, Secure LLM Deployment

Google Logo
公司规模
Mid-size Company
地区
  • America
  • Asia
  • Europe
国家
  • United States
  • Brazil
  • Greece
产品
  • Vertex AI
  • Dynamic Workload Scheduler
  • A3 VMs (powered by NVIDIA H100 Tensor Core GPUs)
  • A2 VMs (Powered by A100 Tensor Core GPUs)
  • Cloud TPU v5e & Cloud TPUv5p
技术栈
  • NVIDIA H100 Tensor Core GPUs
  • NVIDIA A100 Tensor Core GPUs
  • Google Cloud
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Customer Satisfaction
  • Revenue Growth
技术
  • 分析与建模 - Generative AI
  • 分析与建模 - 机器学习
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 金融与保险
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 预测性维护
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
Moveo.AI is a customer experience (CX) automation company founded in 2020, headquartered in New York, with offices in Athens and Sao Paulo. The company focuses on making complex AI technologies more accessible to its customers, particularly in the financial services sector. Moveo.AI specializes in natural language processing and generative AI solutions, aiming to infuse AI into customer interactions to enhance CX. The company is dedicated to empowering enterprises to leverage their data, scale operations, and offer immersive customer experiences. Moveo.AI's mission is to set CX in motion by providing fast, efficient, and secure AI-powered solutions that drive customer satisfaction and business growth.
挑战
Moveo.AI, a CX automation company, faced challenges in building the right architecture to develop and deploy its large language models (LLMs). The company had adopted a multi-cloud approach, training and serving models across different cloud platforms, which resulted in sluggish response times of 15 seconds or more and significant implementation overhead. Moveo.AI aimed to fine-tune and deploy multi-billion parameter models for its production customers, but needed a solution that could support its multi-cloud infrastructure, enable rapid development, and meet data privacy regulations like the General Data Protection Regulation. The company evaluated multiple vendors to find a solution that could consolidate operations, improve performance, responsiveness, and security.
解决方案
Moveo.AI chose to consolidate its operations with Google Cloud, leveraging Vertex AI to accelerate the development and deployment of its LLMs. By using A3 VMs powered by NVIDIA's H100 Tensor Core GPUs, Moveo.AI was able to supercharge its LLM development, allowing engineers and analysts to train custom LLMs precisely tuned for CX. Vertex AI provided the flexibility and control needed to maintain granular oversight of LLM models while benefiting from the platform's robust infrastructure. The integration of Dynamic Workload Scheduler further optimized resource management and capacity scheduling, enabling Moveo.AI to scale AI/ML resources according to its needs. This approach significantly reduced training times and allowed for rapid iteration, with over 150 versions of LLMs trained in just six months. Moveo.AI also expanded its use cases for financial services customers, including conversational marketing campaigns, debt collection, and customer service, while benchmarking accelerators in Google Cloud TPUs and GPUs.
运营影响
  • Moveo.AI achieved higher uptime with Vertex AI, ensuring more reliable and consistent service delivery.
  • The use of Vertex AI allowed Moveo.AI to maintain granular control over its LLM models, enhancing security and performance.
  • Dynamic Workload Scheduler improved Moveo.AI's access to AI/ML resources, optimizing spend and enhancing workload experiences.
  • The integration with Google Cloud's infrastructure enabled Moveo.AI to train over 150 versions of LLMs in six months, introducing new data, improving functionality, and adding new languages and tasks.
  • Moveo.AI expanded its global reach and introduced multilingual capabilities, enhancing its service offerings for financial services customers.
数量效益
  • 50% decrease in time required for model upgrades and deployments
  • 5x faster response times than other offerings

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

相关案例.

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 Asia Growth Partners 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 Asia Growth Partners 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。