This chapter presents discussion on AI infrastructure planning for micro, small, and medium enterprises based on designing, managing, and optimizing technological components to support the AI and machine learning (ML) application platforms to enhance the speed, power, storage, and networking resources for effective workload planning and distribution. The effective technology administration relates to managing the information silos for making decisions on enterprise scalability, governance, and ethical integration of AI and ML across the technology applications and platforms. Therefore, entrepreneurs often face critical challenge in efficiently managing information resources to develop product competitiveness. The cloud-based technology interactions in various supply chain management (SCM) process among micro, small, and medium enterprises has been significantly transformed with the usage of AI-based information tools, digital platforms, and supply chain networks.

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Business Modeling

  • Rajagopal,
  • Ananya Rajagopal

摘要

This chapter presents discussion on AI infrastructure planning for micro, small, and medium enterprises based on designing, managing, and optimizing technological components to support the AI and machine learning (ML) application platforms to enhance the speed, power, storage, and networking resources for effective workload planning and distribution. The effective technology administration relates to managing the information silos for making decisions on enterprise scalability, governance, and ethical integration of AI and ML across the technology applications and platforms. Therefore, entrepreneurs often face critical challenge in efficiently managing information resources to develop product competitiveness. The cloud-based technology interactions in various supply chain management (SCM) process among micro, small, and medium enterprises has been significantly transformed with the usage of AI-based information tools, digital platforms, and supply chain networks.