BBI’s very own CEO, Ravneet Singh, and Director, Jeff Charlton, will be at Money20/20 from October 27th through the 30th.
With three decades of experience in banking and financial services, BBI is a trusted partner for digital transformation. They will be illustrating our deep focus on integrating advanced data solutions and APIs to modernize core banking operations, improve compliance, and enhance customer interactions.
Learn how BBI’s unique industry knowledge, along with the use of real-time data, fuels increased customer engagement by providing a clear, daily updated view of their credit scores. This includes improved user experience action plans, intentional goal setting tools, and relevant content that is specific to each unique customer’s needs, thus further driving customer loyalty.
Learn how a large credit bureau improved response times by 30 percent, reduced the need for manual review by 40 percent, and increased the accuracy of their results by 95 percent using an automation framework from BBI.
As we continue to help financial institutions transform their IT landscapes, Money20/20 provides an ideal platform to stay at the forefront of GenAI, data, and financial tech innovations. In this blog post, we’ll explore why BBI is attending and highlight some sessions we believe will help shape the future of IT and fintech.
At BBI, our focus spans across financial institution focused systems integration services, API solutions, data modernization, AI-powered innovation, data architecture, and platform support. Below are the sessions at Money20/20 that align closely with our core services and promise to deliver actionable insights:
Scaling AI solutions for enterprise environments can be challenging. We’re particularly interested in hearing best practices from industry leaders about overcoming these obstacles and how this aligns with BBI’s approach to helping businesses scale their data modernization and AI initiatives.
Fraud detection is becoming increasingly sophisticated with AI. This session will focus on AI’s role in transforming how financial institutions detect and prevent fraud, which is directly related to our efforts at BBI in data integration and AI-powered analytics.
With AI reshaping customer experiences, this session is critical for understanding how BBI can integrate personalized AI solutions to enhance customer engagement and satisfaction. Insights from this discussion will allow us to refine our AI consulting and data architecture strategies for client success.
This session will provide practical use cases for implementing GenAI across various financial services. At BBI, we’re always seeking to leverage innovative technologies like GenAI to streamline processes and enable deeper insights for our financial services clients.
At BBI, we believe that staying on top of industry trends is essential to providing value to our clients. Money20/20 is not just an opportunity to network with industry leaders but also to gain insights into the evolving landscape of financial technology and how it intersects with AI and data modernization. Attending this event enables us to explore new ways to leverage GenAI and other data-driven innovations to deliver faster, more reliable, and more scalable solutions for our customers.
By participating in sessions led by top players like NVIDIA, Oracle, and Wells Fargo, we aim to bring back cutting-edge ideas to further develop BBI’s core solutions including:
Reach out to us to learn more about how BBI can help with any of the following challenges:
Data Silos and Integration Issues: Financial institutions often have to pull data from multiple providers, which may be stored in various formats. Integrating this data into a cohesive system can be complex and time-consuming, making it difficult to create a unified view of customers or operations.
Data Accuracy and Quality: Financial institutions may encounter inconsistencies or outdated information across providers. For instance, credit reporting data from various bureaus might not always match, leading to challenges in making accurate credit or risk decisions.
Regulatory Compliance: Each data provider may have different standards for data security, privacy, and compliance. Ensuring that all data aligns with global and local regulations (like GDPR, CCPA, etc.) while using multiple providers is often a significant hurdle.
API and Integration Challenges: Data from providers like Bloomberg, Moody’s, or Acxiom often comes at a high cost, with complex API’s and data formats. These costs can quickly add up, especially for institutions that require continuous or large-scale data access.
Latency and Real-Time Access: Some data providers may not offer real-time data access, which is critical for activities like fraud detection or market trading. The time lag between data updates can pose significant risks, especially in fast-moving financial environments.
Data Standardization and Interoperability: Different providers may use different data structures, taxonomies, or standards, making it difficult to harmonize data across sources. FIs must often invest heavily in data engineering to ensure interoperability.
Vendor Dependence and Lock-In: Financial institutions may become overly reliant on a specific provider, making it difficult or costly to switch vendors or integrate data from new sources. This can limit flexibility and adaptability in changing market conditions.
With Ravneet Singh and Jeff Charlton representing BBI at Money20/20, we look forward to building new partnerships, gaining fresh insights, and expanding our capabilities in AI, data, and fintech. If you're attending, feel free to connect with them on LinkedIn or reach out to schedule a meeting during the event.
BBI is committed to helping organizations drive innovation. and we believe Money20/20 will be an essential stop on that journey. Let's collaborate to shape the future of finance and technology together!