With a well-planned strategy, organizations can move beyond experimental use cases and embed AI into everyday operations.

Praveen Krishnakumar is an experienced professional in Salesforce ... architecture: Data Modeling: Structuring information to reflect real-world business relationships. Integration ...

The MCP Server supports integration between large language models and business data stored in Azure's PostgreSQL Flexible Server. Built on an open protocol, it eliminates the need for custom ...

Leveraging Azure Databricks, the group now processes and analyzes vast amounts of data in real-time to optimize operations and enhance customer experiences. “The integration of Azure Databricks ...

Leveraging Azure Databricks, the group now processes and analyzes vast amounts of data in real-time to optimize operations and enhance customer experiences. “The integration of Azure Databricks into ...

The .NET Aspire Azure OpenAI integration enables you to connect to Azure OpenAI Service or OpenAI's API from your .NET applications. The preceding code adds an Azure OpenAI resource named openai to ...

With features such as cloud deployment, multi-agent architecture, and seamless integration with existing tools, the Agent SDK addresses critical challenges in building intelligent systems.

This library allows you to load, edit and query the objects in any Salesforce instance using Django models. The integration is fairly complete, and generally seamless for most uses. It works by ...

The enhanced capabilities include support for the Databricks Data Intelligence ... cost efficiency for their data platforms with integration to BigQuery for scale, governance, and model inference ...