Cloud computing and artificial intelligence
- 1. CLOUD COMPUTING AND ARTIFICIAL INTELLEGENCE By Syed Furqan Haider Shah BSE-8(A) FA14-176
- 2. Things to understand What is Artificial Intelligence Cloud Computing and AI What’s parallel processing and how it work in cloud How AI uses big data ML algorithms for Cloud Applications Conclusion
- 3. What is artificial intelligence AI stands for Artificial Intelligence. A.I. generally refers to the ability of machines to perform intellectual tasks. Its defined as: “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
- 4. Cloud computing and AI Cloud computing The practice of using a network of remote servers hosted on the Internet to: store, manage, and process data, rather than a local server or a personal computer.
- 5. Cloud computing and AI(contd.) Cloud computing and AI While artificial intelligence (A.I.) has struggled to gain footholds in other niches, it is finding its place in the world of cloud computing, a sort of revolution within the revolution that could rapidly change the face of businesses using cloud computing solutions over the next few years.
- 6. Cloud computing and AI(contd.) In three areas of cloud computing, A.I. is taking long strides. Those areas are Parallel processing Machine Learning-ML Algorithms Big Data
- 7. What’s parallel processing and how it work in cloud Parallel processing means more than one microprocessor handling parts of the same overall task. Parallel processing essentially means that multiple processors shoulder the load. To have multiple processors working on the same problem at the same time, there are two big things you need: Latency Bandwidth
- 8. What’s parallel processing and how it work in cloud(contd.) Latency it refers to the amount of time it takes for a processor to send results back to the system. The longer the wait, the longer it will take the entire system to process the problem. Bandwidth Bandwidth is a more common term, referring to how much data a processor can send in a given length of time.
- 9. ML algorithms for cloud applications Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed For cloud applications Machine Learning algorithms are built
- 10. ML algorithms for cloud applications(contd.) ML algorithms for cloud applications involve: Cognitive computing(to combine different patterns together; i.e. voice, imagery or other such data; for mimicking human behavior) Chatbots and virtual assistants (they are getting smarter every time they have a conversation) Internet of things-IoT (It connects every potentially “smart” machine in the world to the cloud and add that massive amount of data to the conversation)
- 11. How AI uses big data As business enterprises increasingly need a massive data- crunching champion, cloud computing companies have begun to deploy Artificial Intelligence as a service (AIaaS). Once AIaaS is deployed, it can begin crunching data at a faster rate than any single microprocessor or human mind could ever hope to compete with.
- 12. Conclusion A.I. has not come to take over our world, but to improve the way we harness technology to make everything better. Consider the surface of A.I. finally scratched. ??