17961890. IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract (Dell Products L.P.)
Contents
- 1 IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Organization Name
Inventor(s)
Rakshith Vasudev of Austin TX (US)
Srinivas Varadharajan of Austin TX (US)
IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17961890 titled 'IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Simplified Explanation
The abstract describes a patent application for an automated data center robotic system using artificial intelligence techniques. The system obtains data from the data center environment, processes it with AI-based inference engines, generates instructions for automated operations, and carries out those operations within the data center environment.
- The patent application describes a method for implementing an automated data center robotic system using artificial intelligence techniques.
- The system obtains data from the data center environment and processes it with AI-based inference engines to determine automated operations.
- Instructions are generated for carrying out the automated operations within the data center environment.
- The system then performs the automated operations based on the generated instructions.
Potential Applications
This technology could be applied in various industries such as data centers, manufacturing, logistics, and healthcare for automating repetitive tasks and improving operational efficiency.
Problems Solved
This technology solves the problem of manual intervention in data center operations, reducing human error, increasing productivity, and enabling real-time decision-making based on data analysis.
Benefits
The benefits of this technology include increased efficiency, cost savings, improved accuracy, scalability, and the ability to handle complex tasks in dynamic environments.
Potential Commercial Applications
Potential commercial applications of this technology include data center management, warehouse automation, smart manufacturing, autonomous vehicles, and robotic process automation.
Possible Prior Art
One possible prior art for this technology could be robotic process automation systems that automate repetitive tasks in various industries. Another could be AI-based systems for data analysis and decision-making in complex environments.
Unanswered Questions
How does the system ensure data security and privacy in the data center environment?
The article does not provide details on how the system addresses data security and privacy concerns within the data center environment.
What are the potential limitations or challenges of implementing this technology in real-world scenarios?
The article does not discuss any potential limitations or challenges that may arise when implementing this technology in practical applications.
Original Abstract Submitted
Methods, apparatus, and processor-readable storage media for implementing an automated data center robotic system using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining one or more items of data, external to an automated robotic system, from a data center environment; determining one or more automated operations to be carried out by the automated robotic system within the data center environment by processing at least a portion of the one or more items of data and one or more user-provided commands using at least one artificial intelligence-based inference engine; generating one or more instructions related to carrying out the one or more automated operations within the data center environment; and performing at least a portion of the one or more automated operations within the data center environment based at least in part on the one or more instructions.
