Artificial Intelligence and Machine Learning

The building society sector continues to demonstrate remarkable resilience and momentum, accounting for 72% of mortgage market growth between April and September 2024.

In today's increasingly complex economic landscape, financial institutions face mounting pressure to adapt to policy changes that significantly impact their lending portfolios. The current administration's implementation of tariffs presents both immediate challenges and long-term considerations for lenders across the United States. With rising economic policy uncertainty weighing on business fixed investments, financial institutions must prepare for potential credit deterioration and adjust their risk management strategies accordingly.

Transformational Innovation for Credit Union SuccessCredit unions strive to provide meaningful financial services to their members while navigating operational complexities such as compliance, risk management, competition, and evolving member expectations. Enter nCino, a technology partner uniquely equipped to address these challenges through our unified cloud-based platform.

As we look towards 2025, many analysts and industry experts are sharing observations on the current state of artificial intelligence (AI) and their predictions for the future. As AI use cases continue to evolve across industries, it’s critical for financial institutions (FIs) to evaluate their own AI journeys. Are they ahead of, in step with, or falling behind their competitors?

A hackathon is a collaborative coding event where individuals or teams join forces to create innovative solutions and solve real-world problems facing bankers. Participants brainstorm and build prototypes of their solutions within a short amount of time, typically ranging from one day to one week. At the end of the event, teams present their projects to the wider company.

Artificial intelligence (AI) and machine learning (ML) are transforming how financial institutions approach many traditional banking processes. When it comes to AI in the financial services industry, the concept of explainability—i.e., the ability to clearly communicate the process behind AI’s decision-making and understand the model’s inner workings—is of the utmost importance.

Artificial intelligence is revolutionizing many traditional financial services, including credit decisioning. The evolution from traditional statistical models to AI-driven approaches marks a transformative shift in the financial industry. With AI integration, financial institutions will experience a fundamental change in how they assess and manage risk, ushering in a new era of efficiency and innovation.

The rise of artificial intelligence (AI) is transforming how financial institutions (FIs) approach traditional banking processes, but not all FIs are prepared to take advantage of this game-changing technology. Leveraging AI is not a one-off task, but a continuous cycle of assessing, enhancing, and improving data quality for an effective strategy. For this reason, the journey AI optimization can seem daunting.

Artificial intelligence (AI) and machine learning (ML) are transforming how financial institutions approach credit decisions and traditional banking processes. By incorporating AI into the credit decisioning process, financial institutions can help create a more inclusive, intuitive, and impactful financial services landscape.

As the financial services industry continues to evolve, efficiency has become a top priority. In order to maximize efficiency, stay competitive, and unlock new value streams, financial institutions (FIs) are leveraging the power of artificial intelligence (AI) throughout their business processes.

With the rapid evolution of technology and increasing regulatory demands, financial institutions (FIs) face the dual task of enhancing operational efficiency while mitigating risks.

As we continue to witness the exponential rise of Artificial Intelligence (AI) in the financial services industry, it's crucial to understand the inner workings of the models driving these intelligent systems.

Company's Gen AI tool, powered by nCino IQ (nIQ), delivers real-time intelligence and optimizes decision-making with data-driven insights for financial institutions across asset sizes and geographies Participants of Banking Advisor’s closed beta testing Product Design Program finding efficiency gains through employee time savings and proactive portfolio management

nSight 2024, nCino’s annual conference, was held May 14 – 16 in Charlotte, NC.

Artificial Intelligence (AI), particularly Generative AI (Gen AI), has transformed industries in significant ways, and financial services is no exception.Today, financial institutions (FIs) grapple with a myriad of challenges. These include time-consuming loan processing, disparate data sources, resource-intensive loan origination processes, and the overwhelming task of interpreting large sets of data.At the same time, AI is unlocking new value streams for FIs, especially in the areas of efficiency and productivity, deal pricing and profitability optimization, credit risk management, compliance, and customer experience.

In the dynamic world of financial services, Artificial Intelligence (AI) stands at the forefront of a revolution, unlocking unprecedented value for financial institutions. This technology, characterized by its ability to learn and adapt, is not merely an addition to the toolkit of the financial sector; it's a game-changer. By harnessing AI, financial institutions (FIs) are enhancing decision-making processes, optimizing operational efficiencies, and delivering highly personalized customer experiences.

In the dynamic world of finance, managing risks effectively is not just a necessity—it's a hallmark of successful financial institutions.

Learn how joining the nCino Data Community can benefit your financial institution.

In an era where speed and efficiency are key, the banking sector has continually sought innovative solutions to streamline operations and enhance customer service. One revolutionary milestone in this journey is the integration of Artificial Intelligence (AI) and machine learning (ML) in credit decisioning. This shift has redefined the landscape of banking, transforming how institutions are able to assess creditworthiness and manage risk.

Thanks to the advances in artificial intelligence (AI) and machine learning, the future of the lending industry is undergoing a major transformation. AI is enabling lenders and financial institutions to automate processes, reduce costs, improve customer experience, and manage risks more effectively. AI can also help lenders offer more personalized and tailored products and services to their customers, based on their preferences, behavior, and creditworthiness. 

In October, nCino hosted three highly impactful forums in Scottsdale, Arizona. These forums included the Community and Regional Executive Forum, the North America Enterprise Executive Forum, and the Farm Credit Forum.

The introduction of Apple’s transformative product in 2007 was a moment that changed the future. Like the now iconic iPhone, the launch of generative AI tools like ChatGPT and Google Bard have captured the public’s imagination, launching an explosion of applications and experiments across nearly every industry, from business and commerce, to art and government.For many of these use cases, the “how” behind the AI model isn’t particularly relevant. If you ask ChatGPT to compose a wedding invitation in the form of a Shakespearean sonnet, you don’t necessarily need to understand how AI can instantly conjure the right rhyme scheme.A wedding invitation is one thing; a financial institution’s credit lending decision is quite another. When it comes to such high stakes decisions, understanding the inner workings of the model is vitally important—even required. For those use cases, explainable AI is the solution.

At nCino, two of our core values are “Be a Winner” and “Have Fun,” and our annual Hackathon is one way we live these values while fostering friendly competition and pushing the boundaries of innovation.A Hackathon is a social coding event where individuals or teams come together to collaborate on solving problems and creating innovative solutions to real problems facing bankers. Over the span of a short time frame, typically between a day and a week, participants use their skills and creativity to brainstorm ideas and build prototypes. At the end of the event, teams present their projects to the broader company, with focuses on themes such as coding, design, social impact, and artificial intelligence (AI).During nCino’s Hackathons, employees are able to showcase their abilities and build platforms, products, and tools for networking, learning, and driving innovation. These events also encourage teamwork, experimentation, and rapid problem solving to foster a competitive yet collaborate environment.

Partnership seeks to harness the power of artificial intelligence (AI) to produce faster and more equitable lending decisions with better risk assessment for financial institutions of all sizes.

Amazement. Excitement. Controversy. Fear.By now, you’ve probably heard of ChatGPT, the revolutionary artificial intelligence (AI) technology that has stunned the world in 2023. Perhaps you’ve even tried out the free version of this powerful tool to draft an email to your boss or write a poem about your pet.As exciting as generative AI applications like ChatGPT are, they’ve also triggered fear and uncertainty across many spheres, from education, where many school districts have banned students from using AI to write their term papers, to the financial services industry, where major banks like JPMorgan Chase, Bank of America and Wells Fargo have prohibited their employees from using AI for corporate communications, citing compliance concerns. Meanwhile, other financial institutions, such as Goldman Sachs, are experimenting with generative AI tools internally to help write and test code, which has some developers worried about their roles.While conversational AI tools like ChatGPT, Jasper and Google Bard have suddenly captured the public’s imagination, the underlying technology is not new. And it’s certainly not the only—or best—use case for generative AI in banking.

Partnership with AI decisioning platform to provide deeper insight and more confident lending through a single platform.WILMINGTON, N.C., February 7, 2023 — nCino, Inc. (NASDAQ: NCNO), a pioneer in cloud banking and digital transformation solutions for the global financial services industry, today announced a value-added reseller agreement with Rich Data Co (RDC), an industry leading artificial intelligence (AI) decisioning platform, to enhance the lending process for its customers. The combined value delivered by this partnership will equip financial institutions with deeper insights into their clients’ business and improve, streamline and further automate workflow and monitoring, creating significant value and efficiencies in small business and commercial lending.nCino will integrate RDC’s decisioning capabilities into the nCino Bank Operating System® to enhance nCino’s Commercial Banking and Small Business Banking solutions with ground-breaking AI and machine learning techniques. This will simplify the traditional credit technology landscape and empower transparent and explainable decision-making driving revenue and efficiency for nCino’s customers. The partnership with RDC will expand the use cases for nCino IQ (nIQ®), which leverages intelligence and machine learning to transform data into information and actionable insights, empowering financial institutions to focus on key-value add activities and make better business decisions.“The combination of AI, data and digital customer experience enables banks to more efficiently, accurately and holistically assess the health of a customer’s business, enabling lenders to have better visibility and control of their existing and new credit for the entire business lending portfolio,” said Gordon Campbell, Chief Product Officer at RDC.

Rabobank Australia and New Zealand has partnered with nCino to implement its Bank Operating System. This will help RANZ to automate its financial spreading analysis, improve the speed and quality of credit decisions, and free up employees' time to focus on strengthening customer relationships.

WILMINGTON, N.C., Nov. 14, 2019 /PRNewswire/ — nCino, the worldwide leader in cloud banking, today announced it has expanded its Cloud Banking Platform with nCino IQ (nIQ). nIQ uses artificial intelligence (AI) and machine learning to increase efficiency through automation and provides insights through analytics to improve the overall customer experience by helping financial institutions make faster and more informed decisions and become more predictive and proactive.

Artificial intelligence (AI) and machine learning have received significant press in recent years, yet the promise and opportunity of these technologies is sometimes obscured by fear and uncertainty among the general public and financial services executives alike. Despite the financial industry’s rich history of embracing new technologies to improve customer service and operational efficiency, it has lagged retail, manufacturing, healthcare and other sectors in implementing effective AI solutions.