AI and ML in Cloud Computing and Mobile Computing
Cloud computing services have morphed from platforms such as Google App Engine and Azure to Infrastructure which involves the provision of machines for computing and storage. The points in the direction of the growth of Artificial Intelligence and Cloud Computing. About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in the coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS and PaaS to execute and deploy AI-infused cloud results. Cloud Machine Learning Platforms: technologies like AWS ML, Azure ML and the upcoming Google Cloud ML use a technology that is held responsible for powering the creation of Machine Learning models. But excepting Google Cloud ML that leverages Tensor Flow can be difficult because a large number of cloud ML technologies won’t allow implementation of AI programs coded in conventional AI.
Related Conference of AI and ML in Cloud Computing and Mobile Computing
12th World Congress on Computer Science, Machine Learning and Big Data
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12th World congress on Big Data, Computer science, Analytics and Data Mining
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AI and ML in Cloud Computing and Mobile Computing Conference Speakers
Recommended Sessions
- AI and ML in Cloud Computing and Mobile Computing
- Artificial Intelligence in Computer Vision
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- Automation
- Automation Tools and Its Applications
- Autonomous Technology
- Computer and Information science
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- Human Robot Interaction
- Information and Communications Technology
- Machine Vision System
- Mechatronics
- Microcontroller
- Opt Mechatronics
- Robotics
- Role of AI & Robotics in Industry
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