Adopt Adaptive Cloud Strategies for Seamless Hybrid Integration
The first strategy experts recommended is to embrace adaptive cloud methodologies to unify hybrid, multicloud, and edge environments.
“We are working across the entire ecosystem,” said Microsoft CEO Satya Nadella. The company’s newest iteration of Copilot + PCs brings everything that’s “happening in the cloud with AI to the edge. Think of all of this as one, continuous, distributed computing fabric,” said Nadella.
Microsoft’s adaptive cloud strategy unifies workloads and also promotes greater synergy between productivity, security and data tools.
This approach also elevates the power of Microsoft’s cloud databases. “With the addition of Fabric databases, Fabric now brings together both transactional and analytic workloads, creating a truly unified data platform to enable scenarios that were previously very difficult,” Guthrie said.
And with all tools in one ecosystem, artificial intelligence (AI) agents can be trained directly on inputs from Fabric’s OneLake because it “brings together your data across not only Azure, but also data in AWS, GCP, or from SaaS platforms such as SAP and many others,” said Seth Juarez, principal program manager of the AI platform at Microsoft.
RELATED: Organizations can successfully deploy AI in the cloud.
Implement AI-Driven Operations with Azure Arc and Copilot
As a second strategy, experts said, businesses should bake AI directly into their cloud operations. Teams can do this by integrating with Azure Arc and Microsoft Copilot. For instance, Copilot can assist in anomaly detection and failure analysis, streamlining issue resolution.
And with Azure Arc, organizations can deploy and manage applications consistently across diverse infrastructures. This simplifies operations and provides a unified control panel for all resources.
Once IT leaders have centralized management across hybrid and multicloud environments, it’s much easier to automate routine tasks, gain intelligent insights and limit large security threats.