Innovation

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

Artificial Intelligence | Innovation | Predictions | Risk Management
Thorsten Hein 0
Traditional ALM is no longer enough – here’s why

Asset and liability management (ALM) is still a cornerstone of banking. But when market conditions shift quickly, as they increasingly do, it no longer reflects how banks actually experience and manage risk, capital and profitability. The environment has changed. Volatility is now persistent rather than episodic. Regulatory expectations continue to

Artificial Intelligence | Innovation
Edie Moyers 0
Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector

Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning,

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

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