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Banking

Why You Can’t Miss the Banking Tech Event 2025?

Why You Can't Miss the Banking Tech Event 2025
Why You Can't Miss the Banking Tech Event 2025

Why You Can't Miss the Banking Tech Event 2025?

Be prepared for an extraordinary banking tech event in 2025 where you get to meet industry leaders to discuss the importance of cloud banking. This banking event in London is something that you shouldn’t miss. In this blog post, we will explore why attending this event is crucial to staying ahead in cloud banking. Without further ado, let us not waste any of your valuable time.

Understanding Cloud Banking

Before we discuss what you can expect from the banking tech event in 2025, it is important to know what is cloud banking and how it is impacting financial services.

The banking sector of 2030 will be considerably different from what we see today. As consumer expectations keep growing, new technologies emerge, and alternative business models take shape, banks must start implementing strategies now in order to adapt to this future. An essential sign of this changing landscape is the growing emphasis on cloud computing, which is becoming a main focus for chief information officers, C-suite executives, and board members.

Leaders in banking and capital markets are increasingly understanding that the cloud isn’t just a technological tool; it’s becoming the primary space for banks and financial services firms to store data and applications while also utilizing advanced software solutions through the internet.

Also Read: How can AI Analytics Software Help Banks in Fraud Detection & Prevention?

Cloud Solutions Enhancing Agility, Scalability & Security

Cloud solutions are a topic that you will be talking a lot about at the banking tech event in 2025. It improves agility, scalability, and security by allowing banking and finance sectors to quickly scale up or down, deploy new applications, and protect sensitive data.

1. Agility

The cloud facilitates rapid deployment of applications and services, letting banking firms swiftly adapt to changing market conditions and customer needs. This agility is essential for maintaining competitiveness.

2. Scalability

Cloud services provide on-demand resource allocation, enabling banking sectors to scale operations seamlessly in response to market demands. This scalability supports growth and operational efficiency.

3. Innovation Enablement

Access to advanced technologies and platforms through the cloud empowers finance and banking industries to innovate, develop new products, and improve services, driving business growth. This environment fosters creativity and competitive differentiation.

4. Cost Efficiency

By reducing the need for significant capital expenditure on IT infrastructure, cloud solutions convert fixed costs into variable costs, optimizing financial resources. This cost efficiency enables better allocation of funds toward strategic initiatives.

Key Trends Shaping Cloud Solutions by 2025

1. Edge Computing Integration

Processing data nearer to its source decreases latency and enhances real-time decision-making, which is crucial for applications like IoT and autonomous systems. This integration supports the growing demand for immediate data processing and analysis.

2. AI and Machine Learning Integration

The integration of AI and ML into cloud services enables predictive analytics, automation, and personalized user experiences, enhancing efficiency and innovation across Finance industry operations.

Also Read: AI in Banking: Revolutionizing Customer Service with AI-driven Solutions: Cases of HSBC and Bank of America on in London

3. Hybrid and Multi-Cloud Strategies

The banking sector is increasingly adopting hybrid and multi-cloud strategies to enhance flexibility, avoid vendor lock-in, and optimize performance. This approach empowers Finance industries to select the best services from multiple providers to address specific needs.

4. Enhanced Security Measures

As cyber threats keep evolving, cloud providers are investing in advanced security protocols, such as zero-trust architectures and AI-driven threat detection, to protect enterprise data. This focus on security ensures the preservation of data integrity and privacy.

5. Serverless Architectures

The adoption of serverless computing enables developers to create and launch applications without managing the underlying infrastructure, resulting in increased agility and reduced operational costs. This model helps rapid development and scalability.

6. An Event to attend

As we discussed, what is cloud computing in banking, How do cloud solutions enhance agility, scalability, and security, and what trends to look for this year? Now is the time to talk about what to expect from the banking tech event 2025.

Who can Attend This Event?

The banking and finance sectors are going through a huge transformation that is driven by technological advancements, regulatory changes, and growing customer expectations. By attending banking conferences in 2025 you can stay informed, connect with like-minded individuals, and gain valuable insights into the newest trends. 

If you are interested in attending this banking tech event in 2025, you must be CXOs, VPS, Directors, Heads, Managers, and Specialists in digital banking, data science, data analytics, etc

Also Read: AI In Banking: The Future of Finance Is here

Meet Industry Leaders

Whether you are a fintech startup or an established banking firm, you will get the golden opportunity to meet industry leaders who have been in the banking industry for decades. If you attend this AI in finance event 2025. you will meet many professionals who will love to share their in-depth experience and knowledge with all attendees through public speaking on stage.

Why Attend NexGen Banking Summit?

The NexGen Banking Summit is going to be the best banking tech event 2025 you have ever witnessed. It will empower you to take control of your banking future. Discover AI applications like account opening, financial advice, and fraud detection. Don’t miss this opportunity to join them in London on 15 and 16 October 2025, for a transformative experience.

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Banking

AI In Banking: The Future of Finance Is here

AI In Banking: The Future of Finance Is here
AI In Banking: The Future of Finance Is here

AI In Banking: The Future of Finance Is here

With technology advancing every day, the future of AI in Banking in the UK is coming. Numerous people believe that the future of finance is going toward only blockchain, cryptocurrency, and Robo-advisors, but the truth is that Artificial Intelligence is about to change the finance industry as well!

There is no doubt that AI has already changed the way many other businesses operate, and now it has come and made its way to catch up with the finance industry. When we generally talk about financial services, we know that it is a vast and complex field.

It encompasses almost everything from real banking, investment management, insurance, and accounting. AI offers potential beyond our imagination, it can improve your company’s work efficiency and cut costs in so many ways. So let’s discuss things there are to know about the Future of AI in banking summit in the UK.

Defining Artificial Intelligence In Finance

Artificial Intelligence (AI) has come to change the way businesses are dealt with in today’s world. It is a powerful technology that utilizes computer algorithms and data so it can mimic human intelligence, make predictions on its own, automate tasks, and give insights.

All kinds of industries are nowadays utilizing the services of artificial intelligence to program their computer so their systems can make decisions on their own.

This technology can be used in numerous ways in the financial industry, such as from automating customer services tasks to detecting and preventing fraud. With the future of AI in the Banking sector in the UK, your machines will be able to perform human-centric tasks and learn from experience, which will free your employees to concentrate on doing more creative and strategic projects.

Read More: Will AI Revolutionize the Future of Banking?

How your business can use AI in Finance

We have already discussed what is AI in finance, now it is time to know how your business can use it. So here are some examples of using the future of AI in banking data.

1. Payroll Management

Large organizations that have diverse workforces can find managing payroll a time-consuming and error-prone process. With the help of AI in Banking Data UK, you can streamline payroll management by automating calculations, deductions, and tax withholdings, which help ensure that your employees are getting paid accurately and always on time.

2. Financial Reporting

Financial reporting has always been an essential part of running a business, but it can be plagued by complexities and human error. With the Future of AI in Banking UK, your business can automate data collection, analysis, and report generation.

Read More: AI in Banking: Revolutionizing Customer Service with AI-driven Solutions

3. Automated Tax Filing

Tax filing is not an easy job as it is also notoriously complicated. It can often require attention to detail. With AI on your side, you can make tax filing easy as it will automate the entire process from data entry to submission to tax authorities.

4. Fraud Detection & Prevent

Every company in the world wants to stay away from fraudulent activities, especially the finance industry. Nowadays traditional methods of detecting fraud can fall short because of the increasing of sophisticated schemes, AI in finance and banking can make fraud prevention easier by continuously monitoring transactions. Apart from that, AI can identify unusual patterns that indicate fraudulent activity.

Read More: How Core Banking Software and AI Are Changing the Banking System?

Conclusion

AI is rewriting the rules way faster. If you want your business to stay ahead of the curve, then understanding how the future of AI in banking UK is essential to harness its true potential.

Categories
Banking

How can AI Analytics Software Help Banks in Fraud Detection & Prevention?

How can AI Analytics Software Help Banks in Fraud Detection & Prevention
How can AI Analytics Software Help Banks in Fraud Detection & Prevention

How can AI Analytics Software Help Banks in Fraud Detection & Prevention?

What if I tell you that you needn’t worry about data breaches anymore at your bank? Sounds like a dream right? Then, wake up, it’s neither a dream nor a far-fetched future anymore, all of this is possible with AI Analytics Software for Banks.

There is no doubt over the fact that AI has revolutionized several industries with banking no exception to that. To increase the efficiency of its services, the banking industry has also been using AI-based latest technologies like payment processing software, and robotic process automation software. About 80% of bank leaders are looking forward to exploring the potential of AI in the banking sector. In fact, according to the report by McKinsey, AI offers the banking industry one of the significant opportunities for value generation with an additional $1 Trillion every year.

One of the major concerns of the customers while using AI banking is the threat of losing their money and personal data. Financial institutions are the biggest target of hackers since they can reap profits from such thefts. Moreover, as per the report by Statista, the average cost of these breaches is around $6.08 US Million in 2024. 10 of the biggest financial breaches to date have occurred in the US, UK, Australia and China.

What kind of data is at risk?

  • Personal details like name, email, phone number, social security number, etc.
  • Financial data like bank account number, credit/debit card details, transaction history, and account balance details.
  • Login credentials like passwords, and PINs.

Are you at Risk?

The following are the different attacks that can take place at banks:

  • Identity Theft
  • Ransomware Attacks
  • Phishing and Social Engineering
  • Malware Infection
  • Payment Fraud
  • Malfunction or System Failure

But not to worry, AI Analytics Software for Banks is capable of detecting all these issues and making banks your trusted partners.

What is an AI Analytics Software?

It is the use of machine learning and artificial intelligence to make quick decisions. With the advanced algorithms, the software can analyze the data in real-time and help banks make more informed decisions, especially in terms of data protection and fraud prevention.

Also known as augmented analytics, it is an all-rounder software that gathers bundles of data in no time and helps in interpreting the data, deriving insights, and making predictions and recommendations based on that.

The traditional analytics was descriptive and diagnostic and only explained the reasons for why the attack happened but AI analytics software is one step ahead. By noticing the patterns using advanced natural language processing, and data visualization, it is more predictive and prescriptive and helps to forecast future outcomes and provide recommendations to optimize those outcomes.

Also Read: How Core Banking Software and AI Are Changing the Banking System?

Fraud Detection and Prevention with Analytics Software

Waiting for the bank to resolve your problem is like watching the paint dry….. That too on a rainy day. But not with AI. Since AI Analytics software automates the different operational functions of a bank, it has helped in resolving one of the major pain points of the customers which is the constant threat of losing their data. 

The following are how AI analytics software and Gen-AI in banking can help in fraud identification and prevention:

1. Real-Time Transaction Monitoring

With advanced algorithms, AI can handle huge amounts of data in real time. It can identify the behavior patterns of every customer. AI has the potential to increase the fraud detection capacity of the bank by 60%. By processing the data, it notices any unusual activity like high-value transactions in a short span, unauthorized logins, or sudden large withdrawals and sends the alert for the same.

2. Better Accuracy

Traditional fraud detection methods were more reliant on Anti-Money Laundering (AML) transaction monitoring systems that led to false positives many times but with the help of AI, the accuracy of such detections has increased by 50%.

3. High Response Speed

Given the speed and the accuracy at which AI works, it sends real-time alerts in case of fraud to the customers before it’s too late and suggests necessary actions to prevent the issue. 

4. Credit Frauds

AI can access the payment history, and transactions of any client, detect forgeries, identify fake signatures, manipulated figures, and falsified documents within seconds and hence, could protect banks from authorizing loans based on misrepresentation of data and prevent the risk of bad debts or other financial losses.

5. Phishing Frauds

AI helps in blocking phishing attempts in real time. It easily detects fake URLs, and spam emails by analyzing the subject line, and content and lets the customers beware of any potential frauds.

Hence, AI has the ability to detect the threat even before it’s a problem. It is a vigilant watchdog that is available and functioning all around the clock so that you can sleep peacefully knowing your data is safe.

Also Read: AI in Banking: Revolutionizing Customer Service with AI-driven Solutions

Want to Learn More?: Stay Ahead of Fraud with NexGen Banking Summit

Dive deeper into the world of AI analytics software in banking with the NexGen Banking Summit and learn from the industry experts at the first-ever event on generative AI in banking. It’s a two-day event scheduled on 23rd and 24th October at the Hilton Hotel in London where you can learn about the latest technology in banking like AI analytics software for banks, Gen AI in banking, payment processing software, robotic process automation software, and many more.