Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(7)

Customer Journey(16)

Design(39)

Solar Industry(7)

User Experience(62)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(48)

Backend(32)

Dev Ops(8)

Enterprise Solution(28)

Technology Modernization(4)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(36)

Insurtech(63)

Product Innovation(54)

Solutions(21)

E-health(11)

HealthTech(23)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(139)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Revolutionizing CX in Banking in 2024: How Banking Apps are Leveraging AI for Enhanced Customer Engagement

In today’s digital age, banking apps have become a critical tool for customers to manage their finances. With the rise of fintech and open banking,

With Gen AI coming into the picture, banks are leveraging AI to not only streamline their back-end processes but also provide hyper-personalized experiences and enhance customer engagement. According to McKinsey Global Institute, gen AI could add $2.6 trillion to $4.4 trillion annually in value with banking predicted to have one of the largest opportunities.

In this article, we’ll explore how banking apps are leveraging AI to transform the banking industry and revolutionize CX in 2024.

The Rise of Banking Apps

Fintech app

According to a study by the Federal Reserve, 53% of smartphone users have used mobile banking in the past 12 months, and this number is expected to continue to rise. As more customers turn to banking apps for their financial needs, banks are under pressure to provide a seamless and personalized CX to stay competitive.

How AI is Revolutionizing CX in Banking Apps

Personalized Recommendations and Insights

AI in banking

One of the key ways that AI is transforming CX in banking apps is through personalized recommendations and insights. By analyzing a customer’s financial data, AI algorithms can provide personalized recommendations for financial products and services that best suit their needs. This not only helps customers make more informed decisions but also increases the likelihood of cross-selling and upselling for banks.

AI can also provide valuable insights into a customer’s spending habits, allowing banks to offer personalized budgeting and financial planning tools. This not only improves the CX but also helps customers better manage their finances.

With Gen AI’s capability to summarize and contextualize documents from ample unstructured data, those working within customer contact functions can get a more comprehensive view saving their time and effort and thus improving their efficiency. 

Chatbots for 24/7 Customer Support

Another way that AI is enhancing CX in banking apps is through the use of chatbots for customer support. Chatbots are AI-powered virtual assistants that can communicate with customers in natural language, providing quick and efficient support. They can handle a wide range of inquiries, from basic account information to more complex issues, without the need for human intervention.

By using chatbots, banks can provide 24/7 customer support, improving the overall CX for customers. This also reduces the workload for human customer service representatives, allowing them to focus on more complex inquiries.

Fraud Detection and Prevention

Fraud detection

AI is also playing a crucial role in fraud detection and prevention in banking apps. By analyzing a customer’s spending patterns and transaction history, AI algorithms can identify suspicious activity and flag it for further investigation. This not only helps banks prevent fraud but also provides customers with peace of mind knowing that their accounts are being monitored for any unusual activity.

Predictive Analytics for Better Decision-Making

AI-powered predictive analytics is another way that banking apps are leveraging AI to enhance CX. By analyzing a customer’s financial data, AI algorithms can predict future spending patterns and provide insights for better decision-making. This can help customers plan for major purchases, budget more effectively, and make informed investment decisions.

The Future of AI in Banking Apps

Voice-Activated Banking

As AI technology continues to advance, we can expect to see more voice-activated banking features in the future. Customers will be able to use their voice to check their account balance, make transfers, and even apply for loans. This will provide a more convenient and hands-free way for customers to manage their finances.

Hyper-Personalization

With the help of AI, banking apps will be able to provide hyper-personalized experiences for customers. This means that every aspect of the CX, from product recommendations to customer support, will be tailored to the individual customer’s needs and preferences. This will not only improve the CX but also increase customer loyalty and retention.

Advanced Fraud Detection and Prevention

As AI technology continues to evolve, we can expect to see more advanced fraud detection and prevention measures in banking apps. AI algorithms will be able to analyze a customer’s behavior in real-time and identify potential fraud before it happens. This will provide customers with even more security and peace of mind when using banking apps.

Conclusion

AI is revolutionizing CX in banking apps, providing customers with a more personalized, convenient, and secure banking experience. With increasing competition and changing consumer expectations, banks must embrace AI to stay competitive and meet the evolving needs of their customers. With the advancements in AI technology, we can expect to see even more innovative features and improvements in the CX of banking apps in the future.

Cancel

Knowledge thats worth delivered in your inbox

Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot