Tag: AI governance

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

Artificial Intelligence | Data Management
Mark Lambrecht 0
Agentic AI in health care and life sciences: autonomy, accountability and the architecture of trust

With all the change that’s happened in the past decade, a few key things remain the same across health care and life sciences. Clinical trials remain the engine behind every new therapy, care delivery systems determine whether patients receive timely and effective treatment and health care payers must steward finite

Data Management | Innovation | Risk Management
Reyk Mikles 0
Governance in practice: Turning theory into day to day control

Governance, risk and compliance (GRC) frameworks are well established on paper. Most organizations have strategies, policies, risk registers and controls in place. Yet for many leaders, the reality looks quite different. Processes remain opaque. Responsibilities blur across functions. Regulatory changes trigger reactive workarounds rather than controlled execution. Audits consume excessive

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