Machine learning is moving beyond the hype

The Ford Motor Company turned that idea on its head by standardizing auto design and manufacturing processes to create an assembly line, enabling mass consumption of the automobile, changing transportation and commerce forever. Today, integrated development environments, debuggers, profilers, and co...

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Bibliographic Details
Published inInfoWorld.com
Main Author Saha, Bratin
Format Trade Publication Article
LanguageEnglish
Published San Mateo Foundry 14.09.2021
Subjects
Artificial intelligence
Assembly lines
Automation
Coders
Design standards
Discipline
Industrial development
Infrastructure
Machine learning
Performance management
Programming environments
Route optimization
Software development
Software industry
Standardization
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Summary:The Ford Motor Company turned that idea on its head by standardizing auto design and manufacturing processes to create an assembly line, enabling mass consumption of the automobile, changing transportation and commerce forever. Today, integrated development environments, debuggers, profilers, and continuous integration and continuous deployment (CI/CD) tools provide standardization and automation of software development that enable coders at all levels to create robust applications. [...]purpose-built machine learning platforms relieve development teams of the undifferentiated heavy lifting of managing both machine learning infrastructure and operational tasks, allowing them to focus on building, testing, and training new models.