How hybrid cloud can help organizations develop AI initiatives:
- Cost savings: Hybrid cloud allows organizations to move less-sensitive data and workloads to the public cloud, which can save on costs. For example, an organization could use the public cloud to train AI models, and then deploy those models to a private cloud for inference.
- Increased agility: Hybrid cloud allows organizations to quickly deploy new AI applications and services. This is because organizations can take advantage of the scalability and elasticity of the public cloud, while also maintaining control over their most sensitive data and workloads in the private cloud.
- Improved security: Hybrid cloud allows organizations to isolate sensitive data and workloads in the private cloud, which can improve security. Additionally, organizations can take advantage of the security features of the public cloud, such as identity and access management (IAM) and encryption.
- Compliance: Hybrid cloud can help organizations comply with regulations by allowing them to keep data within their own borders. For example, an organization that is subject to European Union (EU) data protection laws could use a hybrid cloud solution to store data in the EU.
- Better performance: Hybrid cloud can help organizations achieve better performance for their AI workloads. This is because organizations can use the public cloud for computationally intensive tasks, such as training AI models, and then deploy those models to a private cloud for inference.
Overall, hybrid cloud can be a valuable tool for organizations that are developing AI initiatives. It can help organizations save costs, increase agility, improve security, comply with regulations, and achieve better performance.
Here are some specific examples of how organizations are using hybrid cloud for AI:
- A healthcare organization is using a hybrid cloud solution to store patient data in the private cloud and train AI models in the public cloud. This allows the organization to comply with regulations while also taking advantage of the scalability and elasticity of the public cloud.
- A financial services company is using a hybrid cloud solution to deploy AI-powered fraud detection models. This allows the company to quickly deploy new models and respond to emerging threats.
- A retail company is using a hybrid cloud solution to personalize customer experiences. This allows the company to use AI to analyze customer data and deliver relevant offers and recommendations.
These are just a few examples of how organizations are using hybrid cloud for AI. As AI continues to evolve, hybrid cloud will become an increasingly important platform for developing and deploying AI applications.
