Mr. Lopez, SAS specializes in decisioning systems. Pardon my ignorance, but what exactly does that entail?

Decisioning systems are software solutions that automate optimal decisions or support staff in making strategic choices. These systems integrate data-driven patterns and business rules with advanced analytics—essentially AI—in targeted, valuable ways. SAS enables banks to make accurate real-time decisions, identify risks early, prevent fraud, and create personalized customer experiences.

So, Big Data and cloud solutions are essential to digital transformation in banking?

Absolutely. Effective data integration is critical, but it’s more complex than it might seem, especially in Switzerland, where banks must meet the new Data Protection Act (DPA) standards. SAS provides a platform with extensive capabilities for secure, efficient data integration. Banks can merge, analyze, and deliver data from various sources in real-time, all while complying with data protection regulations.

«Data-driven solutions allow banks to streamline operations and boost efficiency without sacrificing service quality.»

What role does Big Data play in the ability to quickly detect and manage risks?

Today, real-time decision-making is essential for effective risk management, especially in uncertain economic times. The recent interest rate adjustments by the Swiss National Bank (SNB) are a prime example of how market shifts impact banking operations. With SAS's decisioning platform, banks can swiftly respond to changing market conditions, analyze scenarios, and make informed decisions before risks escalate. From risk simulation to stress testing, our platform helps banks develop forward-looking strategies grounded in reliable decisions.

How is Artificial Intelligence transforming banking?

AI has the power to revolutionize banks, particularly in fraud prevention, risk modeling, and personalized customer interactions. The rise in cyberattacks places significant demands on banks, and SAS systems help detect fraud from its inception. Our AI scans transactions for patterns and adapts automatically to new threats. In customer relations, AI opens fresh possibilities: SAS enables banks to make well-timed offers, which strengthens customer loyalty.

What benefits does cloud technology offer?

A cloud strategy provides banks with flexibility and access to the latest technology—without compromising on security. SAS supports both public and hybrid cloud solutions, allowing for a phased transition without the need for a «big bang» migration. This enables banks to select which applications to move to the cloud and which to retain on-premises.

«The recent interest rate changes by the Swiss National Bank highlight how economic shifts influence banking.»

What is the future of decisioning platforms in the banking sector?

The future of decisioning lies in agile and adaptable solutions. Especially in Switzerland, where banks must continuously improve efficiency, quick decision-making processes are essential. SAS's Viya platform enables banks to automate decisioning processes regardless of where data is stored. With our open APIs and support for open-source environments, banks can optimize their data and create tailored solutions that enhance efficiency and customer orientation.

How do Big Data and AI help banks create personalized customer experiences and strengthen loyalty?

Big Data and AI enable banks to better understand their customers and create tailored offers. SAS’s customer intelligence solutions analyze customer data in real-time, allowing banks to deliver relevant offers at the right moment. This not only improves customer satisfaction but also boosts financial performance—customers feel valued and receive personalized services.

How does SAS help banks comply with regulatory requirements in AI and Big Data?

With evolving regulations, compliance is increasingly challenging for banks. The SAS platform helps banks meet requirements under laws like the revised Anti-Money Laundering Act (AMLA) and the Data Protection Act (DPA). Our compliance and fraud management tools provide the transparency and control needed to minimize risk while supporting financial success.

«Data scientists and bank employees have immediate access to relevant, up-to-date information, which they can use across all banking channels.»

What does the integration path look like for AI models within a bank’s existing IT architecture?

Integrating new technology is often challenging. SAS minimizes this risk with an architecture that taps into almost any data source, cutting costs and improving efficiency. SAS offers banks end-to-end model governance, ensuring all models are traceable and meet regulatory standards. This means data scientists and bank staff can access real-time, relevant information across all banking channels—whether in a consultation or directly within the banking app.

AI also raises ethical questions. How does SAS address these?

At SAS, we help banks uphold ethical standards in AI. Our Responsible AI strategy ensures that decisions are transparent and explainable and minimizes historical biases embedded in data to the greatest extent possible. SAS enables the fair, responsible use of AI, aligning with Switzerland’s revised Data Protection Act.

Given rising pressure on margins, how can banks operate more efficiently without compromising quality?

Data-driven solutions allow banks to streamline operations and boost efficiency without sacrificing service quality. AI and machine learning create automation that alleviates routine tasks for staff, allowing them to focus on higher-value responsibilities.

Roberto Lopez is Senior Banking Business Advisor at SAS Switzerland, a global leader in analytics software. SAS empowers banks to automate decision-making processes, boosting efficiency in areas like customer loyalty, fraud prevention, compliance, and risk management.