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Artificial Intelligence | Fraud & Security Intelligence | Innovation
Seema Rathor 0
Synthetic data for next-generation fraud detection in banking

Financial fraud is a high-stakes issue in banking, where schemes are becoming increasingly sophisticated and costly. As a result, detecting anomalies quickly and accurately is a top priority. But traditional data-driven fraud detection models face challenges such as data scarcity, privacy constraints, and model bias. This is where synthetic data

Fraud & Security Intelligence | Innovation | Risk Management
Liz Goldberg 0
The cost of fraud: Protecting public funds with AI

Government productivity and transparency are hot topics, with trust in public institutions declining worldwide and global public debt levels nearing 100 percent of global gross domestic product. Managing fraud, waste and abuse (FWA) is key to public sector productivity. The British Government estimates that £39.8 billion to £58.5 billion of

Fraud & Security Intelligence | Innovation
Seema Rathor 0
From data to decisions: What sets the intelligent bank apart

Banks face increasing vulnerabilities, including fraud, cyberattacks, regulatory pressures and rapidly evolving customer behaviors. To remain secure and resilient, financial institutions must do more than simply adopt new technologies – they must build intelligent, adaptive systems. This is where a data and AI platform becomes a critical engine – not

Advanced Analytics | Artificial Intelligence | SAS Events
Becky Graebe 0
On trust and responsible innovation: ‘Right now is an all-in moment’

Since AI is advancing faster than regulation and innovation is outpacing understanding, two principles must rise above the noise: trust and responsible innovation. That was the central message for industry leaders during another day of SAS Innovate 2025. Show host and recently named Chief Operating Officer Gavin Day said this

Artificial Intelligence | Innovation | Marketing
Mac Carlton 0
Unlock advanced audience targeting with SAS® Customer Intelligence 360 and Amazon Bedrock's generative AI

The digital marketing landscape demands increasingly sophisticated audience targeting, yet many organizations struggle with the technical complexity of creating precise audience segments. The integration between SAS Customer Intelligence 360 and Amazon Bedrock is fundamentally changing how marketers approach audience creation through the power of generative AI (GenAI) and natural language

Analytics | Artificial Intelligence | Risk Management
Reyk Mikles 0
Comply, compete or collapse: The new rules of risk modeling

The financial services industry is undergoing a period of profound change, driven by a dynamic economic landscape, increased regulatory scrutiny, changing consumer behavior and rapid technological advances. Banks operating in this environment are under increasing pressure to transform their risk modeling and decision-making ecosystems in order to remain competitive. This

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