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Google > Case Studies > Copel Unleashes the Power of Gemini for Their Enterprise Data with Google Cloud Cortex Framework and Open Data QnA

Copel Unleashes the Power of Gemini for Their Enterprise Data with Google Cloud Cortex Framework and Open Data QnA

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Customer Company Size
Large Corporate
Region
  • America
Country
  • Brazil
Product
  • Cortex Framework
  • Gemini Pro 1.5
  • BigQuery
  • Dataplex
  • Vertex AI
Tech Stack
  • Google Cloud
  • Large Language Models (LLMs)
  • Open Data QnA
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Productivity Improvements
  • Digital Expertise
  • Innovation Output
Technology Category
  • Analytics & Modeling - Generative AI
  • Analytics & Modeling - Machine Learning
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Utilities
Applicable Functions
  • Business Operation
  • Process Manufacturing
Use Cases
  • Predictive Maintenance
  • Real-Time Location System (RTLS)
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
  • System Integration
About The Customer
Copel is a leading Brazilian energy company that has been at the forefront of the energy sector for over six decades. Based in Curitiba, Brazil, Copel operates power plants, transmission lines, and distribution lines that provide electricity and comfort to the state of Paraná and neighboring regions. The company has built its reputation on its hydraulic potential, technological mastery, and the entrepreneurial spirit of its technical and professional staff. Copel is committed to innovation and has embraced digital transformation to enhance its operations and services. By leveraging advanced technologies, Copel aims to drive growth, efficiency, and competitive advantage in the energy sector.
The Challenge
Like many large enterprises, Copel faced the challenge of extracting meaningful insights from their backend enterprise systems, such as ERP. Previously, this involved manual processes, RPA (Robotic Process Automation) tools, and exporting data to and from Excel. The result was time-consuming and often resulted in inconsistencies that hindered agility and decision-making.
The Solution
Copel developed a groundbreaking solution: an AI Agent powered by Gemini Pro 1.5. This AI-driven agent interacts directly with Copel's on-premises SAP ERP system, leveraging the capabilities of Vertex AI, BigQuery, Dataplex, and Cortex. Now, instead of manual data wrangling across multiple teams, employees can simply ask natural language questions like: 'Which companies had the largest payments over the past year?' or 'Who are the company's largest vendors in a given year?' The answers are delivered in seconds, not days, providing real-time insights that empower decision-makers. Copel's solution leverages a powerful combination of Google Cloud technologies, including Gemini Pro 1.5, Vertex AI, Open Data QnA, BigQuery, Dataplex, and the Cortex Framework. These technologies enable Copel to build, deploy, and manage machine learning models, chat with databases, and analyze large volumes of data for real-time insights.
Operational Impact
  • Data democratization: Employees use natural language queries to access data, fostering a data-driven culture.
  • Manual or time-consuming processes eliminated: Significant cost savings realized.
  • Innovative AI solution: Accelerated Copel's digital transformation.
Quantitative Benefit
  • Gen AI, BigQuery, and Cortex reduced query processing time from one day to near real-time.

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