Azure OpenAI Service equips apps with GPT-3

By using the OpenAI API in Azure applications, business analysts can expect to improve productivity by 10 to 25 percent by automating SQL query and report generation. This is achieved by leveraging OpenAI’s GPT-3 natural language model for text generation, and derivatives such as Codex for automated coding, and a SQL tool enabling users to query in natural language. As an example, if a user prompted the OpenAI SQL tool by asking “what is the count of employees working in the HR department” the tool would output “SELECT COUNT(*) FROM worker WHERE DEPARTMENT = ‘HR’;”. By delivering GPT-3 and other OpenAI tools to Azure applications, Microsoft brings the natural language models to new roles and workloads, while limiting potentially harmful use with built-in AI-based controls, guardrails, and security to enhance productivity and elevate non-technical users across departments. This access to the OpenAI API also helps maintain Microsoft’s competitiveness with other public cloud providers such as Amazon and Google, each of which offers its own highly trained built-in natural language models.

Have a specific question? Query our research catalogue with the Nucleus AI Tool.

Learn more about Nucleus Research’s ROI case study approach here.

Gain the knowledge you need to effectively develop and deliver a financial business case at ROIUniversity.com.

RELATED RESEARCH

    iPaaS deployments in financial services return $1.47 per dollar invested

    Organizations in the financial services industry face unique integration requirements driven by years of acquisitions, business growth, and regulatory mandates that have created diverse system…

    Analytics deployments in financial services return $2.13 per dollar invested

    In financial services, where capital access has become commoditized, analytics and data intelligence represent one of the only meaningful differentiators. To investigate the value delivered…

    IBM announces intent to acquire Confluent

    IBM announced its intent to acquire Confluent for $11 billion, combining IBM’s transactional messaging platform with Confluent’s Kafka, WarpStream, and managed Flink offerings. Most enterprises…

    The value of Qlik Open Lakehouse

    Enterprises across nearly every industry require a substantial amount of well-managed data to drive modern operations, with AI use-cases only accelerating this demand. As with…

    Top 5 analytics trends for 2026

    In 2026, business users, frontline workers, and end customers all expect analytics access. What was once relegated to specialized analyst teams is now finding its…

    Oracle Analytics returns $4.76 per dollar invested

    Nucleus examined ROI case study data for Oracle Analytics deployments conducted over the past three years and found that customers’ investments in Oracle Analytics Cloud…