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Analytics | Programming Tips
Rick Wicklin 0
Pi to the power of pi

Happy Pi Day! Every year on March 14th (written 3/14 in the US), people in the mathematical sciences celebrate "all things pi-related" because 3.14 is the three-decimal approximation to π ≈ 3.14159265358979.... The purpose of this day is to have fun, celebrate the importance of mathematics, and maybe learn a

Artificial Intelligence | Fraud & Security Intelligence | Innovation
Marinela Profi 0
Understanding the components of an AI agent: A five-step life cycle

AI agents are the tech trend of the moment. It is promising to reshape industries, streamline operations, enhance customer experiences and drive smarter decision-making in ways we couldn’t have imagined just a few years ago. As businesses, leaders, and innovators, it’s vital to understand how these systems actually function, not

Customer Intelligence | Data Management | Innovation | Marketing
Amy Dyson 0
Building customer trust: Balancing privacy and personalization

In today's digital age, marketing technology (MarTech) plays a crucial role in how businesses engage with their customers. However, the success of truly contextual customer engagement hinges on one fundamental principle: trust. Building and maintaining customer trust is essential for long-term business success, as it fosters loyalty and contributes to

Artificial Intelligence
David Shannon 0
Trust in the process: Hyperautomation for drug development accelerates time-to-market

AI and automation – often referred to as hyperautomation – are evolving rapidly with industry experts emphasizing their increasing ability to operate independently and make intelligent decisions. By combining powerful generative AI with business expertise, organizations can accelerate and streamline their processes like never before. I recently sat down with Mayank

Analytics | Learn SAS | Programming Tips
Rick Wicklin 0
An explicit formula for eigenvalues of an AR(1) correlation matrix

The first-order autoregressive (AR(1)) correlation structure is important for applications in time series modeling and for repeated measures analysis. The AR(1) model provides a simple situations where measurements (on the same subject) that are closer in time are correlated more strongly than measurements recorded far apart. The AR(1) model uses

Analytics | Artificial Intelligence | Predictions
Seema Rathor 0
Customer experience in banking: Change is the name of the game

The rise of digital banking, driven by tech-savvy consumers, has permanently transformed the financial services landscape. Both individuals and businesses now demand seamless, user-friendly experiences, to manage their finances effortlessly across multiple platforms. Generational shifts in expectations Younger generations, including Gen Z and Millennials, have distinct financial expectations compared to

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