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Case Studies > GE’s Finance Chief Sees Future for AI Across Company’s Business

GE’s Finance Chief Sees Future for AI Across Company’s Business

Customer Company Size
Large Corporate
Region
  • America
  • Europe
Country
  • Denmark
  • Sweden
  • United States
Product
  • ChatGPT
  • GE HealthCare Technologies Inc.
  • GE Vernova
  • GE Aerospace
Tech Stack
  • 5G wireless networks
  • Generative AI
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Innovation Output
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Generative AI
  • Networks & Connectivity - 5G
Applicable Industries
  • Aerospace
  • Healthcare & Hospitals
Applicable Functions
  • Business Operation
  • Discrete Manufacturing
Use Cases
  • Factory Operations Visibility & Intelligence
  • Predictive Maintenance
Services
  • Software Design & Engineering Services
  • System Integration
About The Customer
General Electric Co. (GE) is a multinational conglomerate headquartered in the United States, known for its diverse range of operations in sectors such as aerospace, healthcare, and power. The company has undergone significant restructuring in recent years, spinning off its healthcare unit and planning to separate its power business. GE Aerospace, the remaining entity, focuses on manufacturing and servicing jet engines. The company has a history of management training and has implemented lean manufacturing practices to improve output, delivery times, and quality control. Carolina Dybeck Happe, GE's Chief Financial Officer, plays a crucial role in the company's financial management and strategic direction. With a background in finance and experience in various industries, she brings valuable insights into the integration of advanced technologies like AI within GE's operations.
The Challenge
General Electric Co. is exploring the use of generative artificial intelligence, such as ChatGPT, across its business operations. The company aims to integrate AI from the shop floor to the front office to enhance efficiency and quality. The challenge lies in gathering and utilizing vast amounts of data from complex systems within manufacturing processes. Setting up 5G wireless networks inside facilities is seen as a solution to create an internal information highway, facilitating data movement and making it more useful. The restructuring of GE, which involved decentralizing its divisions and increasing accountability, has set the stage for this technological integration.
The Solution
GE is leveraging generative AI and automation to enhance its business operations. The integration of AI begins with the collection of extensive data from various complex systems within manufacturing processes. By establishing 5G wireless networks inside facilities, GE creates an internal information highway that facilitates efficient data movement and utilization. This technological infrastructure supports the company's goal of increasing efficiency and quality across its operations. Carolina Dybeck Happe, GE's CFO, emphasizes the potential of AI to transform both manufacturing and office functions. Although specific details on the implementation of generative AI are not provided, the company envisions numerous applications over time. The restructuring of GE, which decentralized its divisions and increased accountability, has paved the way for this technological integration. The use of lean manufacturing practices further supports the company's efforts to improve output, delivery times, and quality control.
Operational Impact
  • GE is exploring the use of generative AI across its business operations, aiming to enhance efficiency and quality.
  • The company is setting up 5G wireless networks inside facilities to create an internal information highway for data movement.
  • GE's restructuring, which decentralized its divisions and increased accountability, supports the integration of advanced technologies.
  • Lean manufacturing practices are being used to improve output, delivery times, and quality control.
  • Carolina Dybeck Happe, GE's CFO, highlights the potential of AI to transform both manufacturing and office functions.

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