How GenAI and data quality is redefining digital banking.

The financial services industry is in the midst of a digital revolution. But where should banks and other organizations be focused?

As the CEO of Quantum Metric, a company specializing in digital customer experiences, I've had to connect with some of the biggest financial organizations on these changes and how they’ll impact the future of digital banking—especially with the rapid rise of Generative AI.

The banking industry's digital transformation was accelerated by events like the COVID-19 pandemic and now requires institutions to go beyond seamless transactions to provide exceptional digital experiences that foster customer loyalty and repeat business. This shift demands new mindsets and skill sets to navigate the complexities of encouraging ongoing customer engagement and service upgrades.

This is why Generative AI, particularly large language models (LLMs) like ChatGPT, are a game-changer for financial organizations.

The power of Generative AI.

Unlike past hype cycles, Generative AI is already demonstrating real-world impact. It's particularly well-suited for the digital analytics space, going beyond how we analyze data to focus on what we do with the analysis to make an impact and win the hearts of our customers.

Quantum Metric is at the forefront of this technology, leveraging Google's Gemini Pro to develop solutions like Felix AI, providing digital brands with the power to understand customer needs in real-time. For example, Felix can analyze a user's activity, informing customer service agents exactly what to say to provide personalized conversations.

However, as AI adoption grows, so do concerns about data privacy and security. At Quantum Metric, we prioritize upholding the highest standards for privacy and security. We adhere to strict privacy regulations and ensure that data is not used to train models outside of fine-tuning for that specific company.

The quality of your data matters.

Generative AI is powered by data and the better the data, the better the outcomes from Gen AI. Financial institutions must invest in understanding and optimizing their data infrastructure to maximize the value they can derive from Generative AI. The winners and losers in Generative AI adoption will be differentiated by their data and how it's used.

But, it’s also important to note that data is the foundation upon which all successful digital banking strategies can and will be built. Financial institutions must invest in understanding and optimizing their data infrastructure to unlock the full potential of new innovations and effectively meet the climbing expectations of their clients.

To thrive in this new landscape, financial institutions should focus on data strategies that help them to inform investments in:

• Generative AI: Continued adoption and integration to drive revenue, reduce costs, and improve efficiency.
• Native Apps: Increased development and usage to provide customers with convenient and personalized access to their finances. This all starts with the right visibility into the experience.
• Personalization: A greater focus on cross-marketing and personalization, leveraging customer data to tailor offerings and communication for enhanced engagement and loyalty.

The big takeaway? The future of digital banking and its investments in Gen AI hinge on a deep understanding of customer experiences. It's no longer having data to analyze, but being able to capture the insights that fuel action.

At Quantum Metric, we’ve found this action is fueled by two things: real-time context of what happened in an experience and why, and the ability to quantify the scale and impact of that experience on your business and your customers. This foundational understanding, accelerated by Gen AI tools, like Felix AI, enables some of the biggest financial organizations today to quickly resolve experience issues and prioritize opportunities to drive customer loyalty.

Want to learn more about how Quantum Metric empowers some of the biggest banks to meet customer expectations? Check out use cases, customer testimony, and deep-dive demos.