Innovation

Read how data-driven insights can help organizations uncover new approaches to their key challenges and deliver new innovations faster.

Data Management | Innovation | Internet of Things
Saurabh Mishra 0
Enterprise AI agents: Requirements for reliable data access

Many conversations about AI agents focus on models and frameworks. But when organizations attempt to deploy agents in real operational environments, a different challenge quickly emerges. How agents reliably and securely access enterprise data. Without reliable access to relevant data, AI agents struggle to support operational decisions. Whether diagnosing equipment

Artificial Intelligence | Data Management | Innovation
Reyk Mikles 0
What a modern governance platform looks like – and how to choose the right one

Governance, risk and compliance (GRC) has evolved beyond a control mechanism or regulatory safeguard. In today’s environment, it forms the operational backbone of effective corporate management – enabling organizations to identify risks early, meet regulatory expectations reliably, and ensure that decisions and processes remain transparent and traceable. Yet many organizations still

Artificial Intelligence | Predictions | Risk Management
Reyk Mikles 0
AI in credit: Faster decisions, stronger controls

Credit processes in banking are at a turning point. Volatile markets, new competitors, increasing regulatory requirements and an exponentially growing database are putting unprecedented pressure on traditional, largely manual and siloed processes. At the same time, customers expect fast and consistent decisions, while regulators demand transparency, traceability, and control. In

Analytics
Colby Hoke 0
SAS contributes: Apache Geode

At SAS, we use and contribute to a wide range of open source projects. This series – SAS Contributes – highlights how our teams give back to the open source community. When your software depends on critical open source infrastructure, you have a choice: You can hope the community keeps

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