Having spent many years as second fiddle to Barcelona, Madrid surpassed its Catalan cousin in 2023 with startups securing 605 million ( 672 million) investment above Barcelona's 457 million ( 507 million). "Lots of Latin American talent is arriving thanks to the recent entrepreneur visa and talent programs run by Telefonica to bring promising startup founders from Mexico, Argentina, Columbia and Venezuela," explains Bu Haces, innovation consultant at Madrid's Impact Hub. The city has seen solid growth in transportation, mobility and fintech startups during the last three years with AI and deep tech supercharged by an astonishing 56 universities. "The business schools in particular are providing lots of startup networking opportunities, and are keen on developing an entrepreneurial ecosystem," says Miguel Arias, general partner at VC K Fund. With Meta, IBM, Google and Amazon all expanding in the city, the main worry is lack of housing stock for the flood of students, engineers and entrepreneurs.

The payments industry is undergoing a rapid transformation, and ISO 20022 data is set to play a crucial role in this revolution. ISO 20022 is a global standard for financial messaging that facilitates seamless communication and exchange of data across different payment systems, thereby simplifying the process of exchanging information and conducting transactions among financial institutions. The increasing demand for faster and more efficient payment processing is a major driver of change in the payments sector. With ISO 20022 data, real-time payment processing is possible, enabling faster and more secure transactions. This standard provides a common language and syntax for communicating data across various payment systems, resulting in a more streamlined payment process.

RegTech Napier has announced its AI-led technology has been chosen by emerging Norwegian FinTech, ZTL Payment Solution. Napier will supply the B2B payment provider with Transaction Screening, Transaction Monitoring and Client Screening. These tools will enhance ZTL's ability to identify suspicious activity related to money laundering through transaction monitoring, while also identifying potential risk of breaching sanctions with screening solutions. Andreas Bjerke, CEO at ZTL, said: "We are one of the first Norwegian licensed payment providers and we are already seeing rapid growth for our unique service. One of our main priorities is AML compliance and we needed a more flexible AML compliance tool that will be agile and robust enough to grow with us as we scale to enter more global markets and add more products. We aim to stay at the very cutting-edge of online B2B payments and Napier's modern solution will enable us to deliver excellent service while meeting regulatory requirements."

Ripple's mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year. We are looking for an experienced software engineer to join a new team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner.

Insurance AI will help insurers predict risk with greater accuracy, customise products and use enhanced foresight to rapidly deploy new products. It is driving efficiencies in underwriting and risk monitoring to give insurers a competitive edge, particularly in commoditised markets. AI is being used to evaluate claims, creating workflows that are more accurate and responsive to customer needs. It is augmenting the capabilities of new and existing distribution channels, allowing insurers to expand their reach and scale. AI allows institutions to be more agile, enabling them to deploy new products in response to emerging risk. It allows insurers to make use of their internal data and provide unique service offerings that complement their product shelves.

Bottom Line: Barclays' and Kount's co-developed new product, Barclays Transact reflects the future of how companies will innovate together to apply AI-based fraud prevention to the many payment challenges merchants face today. Merchant payment providers have seen the severity, scope, and speed of fraud attacks increase exponentially this year. Account takeovers, card-not-present fraud, SMS spoofing, and phishing are just a few of the many techniques cybercriminals are using to defraud merchants out of millions of dollars. But it doesn't have to be a choice between security and a frictionless transaction. Frustrated by the limitations of existing fraud prevention systems, many payment providers are working as fast as they can to pilot AI- and machine-learning-based applications and platforms.

Online payment providers have been servicing customers all over the world since CyberCash opened its virtual doors in 1995. Unfortunately, the growing number of companies relying on online payment providers has created an epidemic of fraud. According to one recent report, the rate of fraud has increased 45%, to nearly $60 billion in recent years. In Australia alone, online payment fraud has exploded to $476 million. Online payment providers like PayPal have started turning to machine learning, as they strive to tackle the growing number of cybercriminals seeking to exploit their customers.

There has been a massive surge in the popularity of using instant messengers to provide online customer support and chatbot work. Even in the banking industry, which is notoriously conservative, have been entering the space in droves to increase customer satisfaction and lower costs. Chatbots have found their way into corporate intranets, to provide information and training for staff, and into the Internet for all clients and potential customers. Virtually every major bank has integrated some form messenger-based chatbot into their website or as part of a mobile app. "There is a lot of interest in the FinTech community in using automated messengers to interact with customers," Alexey Kulyk, Director of Products at the international payment provider Maxpay, shares, expressing confidence that using messengers and chatbots are more than just a fad.

New analytical capabilities have the potential to transform the way banks and other payment providers price products and services. Obtaining fair compensation for complex payment products, such as corporate cards, merchant acquisitions, and treasury-management services, has long been a major challenge. This is primarily because these products tend to be intricate, offered in myriad forms, and implemented across diverse markets. Treasury services, for instance, might have 1,000 or more different fees, and prices are often embedded in private contracts not shared within the organization. Throughout the payment industry, these problems are further complicated by ever-changing payment methods and platforms created by the rapid evolution of payment technologies.

It's time to take a long, hard look at the potential benefits of artificial intelligence for your company -- because your competitors are. The Global Center for Digital Business Transformation found that digital disruptors like AI and machine learning have the potential to overturn entrenched industry leaders and transfigure entire markets faster, they say, than perhaps any force in history. Consider AI's four major benefits: The problem is that despite the rise in the number of conversations around the benefits of AI, business leaders are still essentially flying blind when it comes to decision-making around artificial intelligence. We're all on the same first page -- AI is bigger than big, more important than mobile phones or fire. Adopt early, and choose the use cases that will offer the biggest impact on your business for your customers, and in your industry. But both internally and externally, there's no one-size-fits-all approach to AI, because that would be too easy.