Artificial Intelligence
The Artificial Intelligence (AI) market is experiencing significant growth and is expected to continue expanding in the coming years with multiple market research firms forecasting over one trillion dollars of spend by the year 2030. AI has the potential to transform industries, companies, and the way we live and work. AI technology spans multiple applications in various domains, such as healthcare, finance, education, transportation, manufacturing and entertainment, all markets that Unigen serves.
Data is the fuel for AI. AI systems work by ingesting large amounts of training data, analyzing the data for correlations and patterns, and then using these patterns to make predictions about future states. These patterns refine themselves when new data becomes available which in turn makes the predictions more accurate. This data needs to be gathered, processed and stored in real-time and at scale, and Unigen offers a broad portfolio of solutions and services that meet the needs of AI today and in the future.
Artificial Intelligence Requirements
Performance
Scalability
Reliability
Security
Low Power
Cost Efficiency
Unigen's Artificial Intelligence Solutions
Unigen’s Cupcake Edge AI Server delivers a solid platform for Machine Learning and Inference AI in a compact and rugged enclosure. With the right combination of I/O Interfaces and expansion capabilities to capture and process video and multiple types of signals through its POE ports and then to deliver the processed data to the client either over a wired or wireless network. Supporting Neural Networks from the leading ISV providers, Unigen’s Cupcake delivers the flexibility to allow custom solutions.
Explore Our Capabilities
As a leading electronic manufacturing services (EMS) company, Unigen is your one-stop solutions provider, supporting OEM at every stage of the product life cycle. Our experts and business intelligence tools are ready to help you navigate challenges and make business decisions in real time.
Application Story
Case Study Title
Challenge:
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Solution:
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Key Outcome:
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