Receive the latest news and updates from industry experts on the technology and trends shaping the future of business.
Forgot your Intel username or password?
Do you work for Intel? Sign in here.
Meet the demands of regulators and customers, minimizing risk while remaining profitable. Intel®-based solutions can help manage, structure, and draw insights from the vast amounts of data and provide a scalable infrastructure to meet workload needs now and in the future.
Systems that process tens of thousands of transactions a second with seamless scalability are the lifeblood of the Financial Services Industry today. While faster processors, solid-state storage and high-speed networking continue to boost market trading capacities, the latest hardware also delivers phenomenal performance in executing real-time analytics on big data. Here, the task is focused more on gaining insight from predictive analysis to determining accurate customer risk profiles using machine learning.
Together with its software partners, Intel plays a key role in these transformational achievements. From server with Intel® Xeon® processors powering the world’s banking data centres and cloud-based infrastructures to enterprise storage driving the revolution in analytics, Intel delivers the enabling technology that streamlines trading processes and provides dependable business intelligence for decision makers. In this series of articles, we explore a variety of real-world banking scenarios, challenges, and considerations that are fundamental to the changing face of the Financial Services Industry.
Having clocked up 377 million mobile transactions in Q1 2016, CaixaBank teamed up with Intel and Oracle to maximise its insights on this wealth of customer-generated big data. In the process of achieving its goals, it began to consider itself to be an information company, rather than a bank.
How does a 237-year-old bank introduce meaningful analytics? Should machine learning be allowed to pass judgement on customers? Can reassessing risk with big data protect both customers and banks from vulnerability? Some of the issues covered during a recent FSI panel discussion with Barclays at Fintech Connect Live in London.
Analytics shows its versatility in FSI with HSBC gaining insight from its 52 million customers to tackle banking fraud, while Aviva insurance invests in predictive analytics to maximise its targeting accuracy in personalised customer marketing.
Who owns a customer's data? Is it the individual or the financial institution (FI) they offer their information to? These questions, combined with discussions around the application and monetisation of data, dominated the agenda at this year's Innovate Finance.
Creating a better world—that’s the potential Intel sees in artificial intelligence. If that sounds rather grandiose, the following paragraphs should explain it in a little more detail.
Developing new products and services are central to remain relevant in the Banking Industry. Ignacio Bernal, Global Head of Architecture and Technology Transformation and Jose María Ruesta, Global Head of Infrastructure, Service & Open Systems, BBVA, share their journey towards a scale-out architecture which has enabled them to accelerate the cycle of innovation.
As analytics has become increasingly important for engaging with customers, Commonwealth Bank of Australia (CBA) shares how open source, open
Mike Blalock, Intel GM of Financial Services discusses the progress of digitalization, the potential of AI, the need for banks to fix their data and their cultures to progress with both, and how technology can underpin banks’ transition to lifestyle companies.
Advances in technology have created an on-demand culture; consequently, there are increasing demands for innovative and secure online, mobile, and wearable technology-driven solutions.
To compete in a world where technology plays an ever-increasing role in the daily lives of customers, financial services institutions must embrace change like never before. Finding new ways to service customers, while continuing to meet compliance and regulatory demands, is going to require a fundamental reshaping of the traditional business model in financial services. This is going to require the kind of agility that only comes with a cloud architecture approach, whether private, public or a multi-cloud strategy.
Bank Leumi* takes advantage of a private cloud solution based on Intel® architecture to launch a mobile only bank.
Explore this brief and see how an instant-payments solution can help the banking industry keep pace with commercial demands and regulatory requirements in a shift towards greater protection as well as data access.
A cloud environment enables the data center to gain the flexibility and efficiency it needs to support enterprise agility and innovation.
Intel IT used design best practices to create a cloud application platform (Paas) which makes it easy to create, deploy, and manage web and mobile applications.
Guide your organization to the optimal Cloud Solution.
NASDAQ deals with millions of transactions every second. Data is fundamental to their business, but implementing a typical big data project is difficult to manage. See how NASDAQ overcame these challenges through implementing BlueData software.
The data-driven Financial Services Industry possesses a vast amount of information about its clients and thus bears significant responsibilities with regulations and compliance. The application of machine learning and artificial intelligence solutions from Intel will provide deeper insight on customer behaviours and preferences, which can unlock new business opportunities, transform business models, and deliver new classes of services. This will also serve to meet the demands of legislation and, crucially, help to combat cyber-crime.
As regulatory pressure to prevent money laundering increases, the need for powerful data analytics solutions becomes more vital than ever before.
Efficient, timely, and responsive reporting requires an underlying application framework that's agile and powerful.
Growth of wearables and IoT offers the potential to insurance companies to capture population health data and realize the benefits of big data analytics.
Enables Financial Services firms to personalize customer’s experiences, pinpoint undetected fraud, which can result in increased revenue and loss prevention.
Machine learning enables businesses and organizations to discover insights previously hidden within their data.
Nervana’s Deep Learning platform delivers advanced analytics helping companies prevent fraud and enhance customer service.
Read up on these three customer case studies, all examining how central, open, and scalable enterprise data hubs can be the solution engines for the Financial Services Industry.
Respond to growing risk management and regulatory compliance pressures and costs with a centralized approach to data management and analytics.
Security breeds trust, and trust secures customer loyalty – an imperative for business today. Banks need to ensure they are providing secure, relevant, and cutting edge customer-centric experiences that can mitigate threats from cyber-crime and fraud, as well as solutions that protect their IT infrastructure.
Help combat cybercrime with Intel-based end-to-end cyber security solution that utilizes a powerful data aggregation tool and machine learning to predict threats.
Stop fraud in its tracks with simpler, stronger authentication using Fast Identity Online (FIDO).
Read how Cybraics can accelerate threat detection with their cyber-analytics platform.
Enable more secure business growth with multi-factor authentication.
Transforming technology in the workplace can have a hugely positive impact on employees and improve business efficiencies, enabling collaboration and securing data in the workplace. Equally these changes can help improve front-end customer experiences and ensure solutions are aligned to the overarching business strategy.
Protect customer data, enhance authenticity, and increase productivity with convenient and powerful biometric signature operations.
Cut meeting delays and create a collaborative environment for in-room and virtual teams.
Shape your work environment around the demands of your job, transitioning from mobile to deskbound work seamlessly.
Improve service quality, reduce operation costs, and safeguard the enterprise by enabling a consistent policy-driven approach.
Discover the six focus areas that every financial services organization should implement to innovate successfully.
Read the Insights from the Sibos 2016 brief ›
Check out the Finextra Sibos 2016 review ›
Receive the latest news and updates from industry experts on the technology and trends shaping the future of business.
Success!
Please check if you have provided correct variable id for email address and country in Author Dialog.
By submitting this form, you are confirming you are an adult 18 years or older and you agree to Intel contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Intel’s web sites and communications are subject to our Privacy Notice and Terms of Use.