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How Mahmoud Abouelyazid’s Research is Transforming AI and Cloud Computing
- Mahmoud Abouelyazid is a CTO and co-founder at EXODIA AI Labs working on AI and cloud computing.
- His research in this area includes the development of Deep-Hill algorithm which improves cloud resources allocation.
- The algorithm optimizes resource distribution and is adaptable, unlike traditional models.
- The algorithm is more efficient and reduces operational costs, improving profitability and sustainability.
- Mahmoud Abouelyazid’s work also includes prediction areas in cloud resource management.
- His team developed a Temporal Convolutional Network (TCN) model to forecast CPU usage and memory consumption in cloud environments.
- The TCN model has demonstrated strong results, particularly compared to older methods such as Long Short-Term Memory (LSTM) networks.
- In addition to improving resource prediction, EXODIA AI Labs focuses on developing scalable AI solutions that simplify data science processes for businesses.
- Pluto, an AI Data Scientist tool, simplifies the complexities and costs associated with traditional data science teams.
- Mahmoud Abouelyazid’s research aims to make cloud computing and AI more efficient, accessible, and sustainable.
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