Fintech
Navigating the digital payments revolution
Developers are at the epicenter of the payments revolution with commerce going digital by default. They must navigate a complex web of emerging trends, evolving solutions and rising customer expectations in an increasingly interconnected digital payments ecosystem, often leveraging advanced fintech software development and strategic ERP integration.
The stakes are high: experts predict that the digital payments market can grow From $11.53 trillion in 2024 to $16.59 trillion by 2028. Business success largely depends on providing secure, efficient and seamless digital payment experiences that leverage the synergies between various technology solutions, such as fintech software and artificial intelligence.
Traditional payment systems and enterprise resource planning (ERP) solutions are being challenged by cutting-edge financial applications and microservices, forcing developers to adapt quickly and innovate relentlessly. These emerging technologies and solutions must work in harmony to create a cohesive and efficient digital payments landscape. To thrive, developers must strategically future-proof ERP, select the right fintech software, and leverage artificial intelligence to create seamless payment experiences that recognize the intertwined nature of these solutions.
Future-proof your ERP
To future-proof ERPs and overcome the challenges posed by financial applications and microservices, software developers must integrate cutting-edge technologies into existing systems. This integration allows businesses to seamlessly adapt to the evolving digital payments landscape and maintain a competitive advantage.
Key technologies and strategies to future-proof ERPs include:
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- Cloud-based solutions: Migrating ERPs to the cloud provides a scalable, secure, and flexible infrastructure that facilitates the integration of new payment methods and microservices.
- API-based architecture: Adopting an API-based architecture enables seamless integration between ERP and cutting-edge payment solutions, enabling efficient and secure transaction processing.
- Artificial intelligence and machine learning: Integrating AI and ML technologies into ERPs can automate processes, improve decision making, and enhance fraud detection capabilities.
- Blockchain Technology: Integrating blockchain into ERPs can increase transparency, security, and efficiency in payment processing and financial transactions.
- Microservices architecture: Implementing a microservices architecture allows developers to independently build and deploy modular and scalable services that can be easily integrated with ERPs.
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Focusing on these key technologies and strategies will enable companies to excel in the digital payments revolution.
The role of the developer in selecting financial software
Choosing financial software based only on reviews and analyst reports is like buying a house just by looking at the Zillow listing. A comprehensive and customized evaluation process is required to select software that meets your organization’s specific needs and goals.
The contribution of software developers is fundamental. With their experience, they can thoroughly evaluate the technical capabilities and limitations of potential software solutions, ensuring compatibility with existing systems and identifying opportunities for customization or integration. Developers also evaluate scalability and performance by analyzing the software’s architecture and infrastructure. This analysis helps determine the software’s ability to handle current and future transaction volumes and performance requirements.
Additionally, developers can evaluate the feasibility of customizing existing software or developing tailored solutions to meet specific business needs, evaluating the costs and benefits of each approach. Collaboration with stakeholders is another integral aspect of their role. By working closely with finance teams, executives, and end users, developers gather valuable insights into specific pain points and requirements.
By actively involving software developers in the selection process, organizations can make informed decisions, balancing technical considerations with business objectives for long-term success. However, assessments must be carefully weighted; If the decision tilts too heavily in the developer’s favor, it could lead to overlooking significant business impacts.
Leveraging artificial intelligence in payment solutions
The growth of the digital payments landscape requires the latest technology. Enter artificial intelligence, a cutting-edge force promising to transform the financial sector through hyperautomation and intelligent solutions. As businesses seek to stay ahead of the curve, software developers with AI and machine learning (ML) expertise have never been more critical.
Artificial intelligence revolutionizes payment solutions in several key areas. For example, businesses can now leverage cutting-edge algorithms to detect and prevent fraud in real time, safeguarding financial transactions. Additionally, AI-powered virtual assistants and chatbots provide round-the-clock customer support, addressing payment-related queries and issues with efficiency and personalized assistance.
Intelligent payment routing tools analyze various factors, such as transaction costs and processing times to optimize payment paths, improving overall payment efficiency. AI can also personalize payment experiences based on individual users’ preferences, behaviors and transaction history.
Software developers need to learn AI/ML skills, collaborate with industry experts, and prioritize data privacy and security. This approach is critical to effectively design and implement intelligent systems that meet user needs while safeguarding sensitive information. By leveraging AI, developers can drive innovation, improve efficiency and deliver superior user experiences, positioning businesses for success in the digital payments revolution.
Software developers play a critical role in shaping the future of payments by embracing new technologies and collaborating with industry platforms. By focusing on future-proof ERP, selecting the right financial software, and leveraging the power of artificial intelligence, developers can effectively address the rapid evolution of payments.
Chris Heard, CEO and co-founder of Olive, began his entrepreneurial journey in England when he launched a portable cocktail bartending service, “Bars in Action”. In 2009, after working briefly in insurance sales, Chris moved to Vancouver and helped grow local startup Mobify, where he worked first as a business development manager and then as a senior account executive. He subsequently joined several other technology companies including Yottaa and Fuze as director of sales. In 2018, he co-founded Olive Technologies with the mission of providing companies with a faster, more efficient, and less biased strategy for purchasing and adopting the right technology for their business needs.
Fintech
US Agencies Request Information on Bank-Fintech Dealings
Federal banking regulators have issued a statement reminding banks of the potential risks associated with third-party arrangements to provide bank deposit products and services.
The agencies support responsible innovation and banks that engage in these arrangements in a safe and fair manner and in compliance with applicable law. While these arrangements may offer benefits, supervisory experience has identified a number of safety and soundness, compliance, and consumer concerns with the management of these arrangements. The statement details potential risks and provides examples of effective risk management practices for these arrangements. Additionally, the statement reminds banks of existing legal requirements, guidance, and related resources and provides insights that the agencies have gained through their oversight. The statement does not establish new supervisory expectations.
Separately, the agencies requested additional information on a broad range of arrangements between banks and fintechs, including for deposit, payment, and lending products and services. The agencies are seeking input on the nature and implications of arrangements between banks and fintechs and effective risk management practices.
The agencies are considering whether to take additional steps to ensure that banks effectively manage the risks associated with these different types of arrangements.
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What changes in financial regulation have impacted the development of financial technology?
Exploring the complex landscape of global financial regulation, we gather insights from leading fintech leaders, including CEOs and finance experts. From the game-changing impact of PSD2 to the significant role of GDPR in data security, explore the four key regulatory changes that have reshaped fintech development, answering the question: “What changes in financial regulation have impacted fintech development?”
- PSD2 revolutionizes access to financial technology
- GDPR Improves Fintech Data Privacy
- Regulatory Sandboxes Drive Fintech Innovation
- GDPR Impacts Fintech Data Security
PSD2 revolutionizes access to financial technology
When it comes to regulatory impact on fintech development, nothing comes close to PSD2. This EU regulation has created a new level playing field for market players of all sizes, from fintech startups to established banks. It has had a ripple effect on other markets around the world, inspiring similar regulatory frameworks and driving global innovation in fintech.
The Payment Services Directive (PSD2), the EU law in force since 2018, has revolutionized the fintech industry by requiring banks to provide third-party payment providers (TPPs) with access to payment services and customer account information via open APIs. This has democratized access to financial data, fostering the development of personalized financial instruments and seamless payment solutions. Advanced security measures such as Strong Customer Authentication (SCA) have increased consumer trust, pushing both fintech companies and traditional banks to innovate and collaborate more effectively, resulting in a dynamic and consumer-friendly financial ecosystem.
The impact of PSD2 has extended beyond the EU, inspiring similar regulations around the world. Countries such as the UK, Australia and Canada have launched their own open banking initiatives, spurred by the benefits seen in the EU. PSD2 has highlighted the benefits of open banking, also prompting US financial institutions and fintech companies to explore similar initiatives voluntarily.
This has led to a global wave of fintech innovation, with financial institutions and fintech companies offering more integrated, personalized and secure services. The EU’s leadership in open banking through PSD2 has set a global standard, promoting regulatory harmonization and fostering an interconnected and innovative global financial ecosystem.
Looking ahead, the EU’s PSD3 proposals and Financial Data Access (FIDA) regulations promise to further advance open banking. PSD3 aims to refine and build on PSD2, with a focus on improving transaction security, fraud prevention, and integration between banks and TPPs. FIDA will expand data sharing beyond payment accounts to include areas such as insurance and investments, paving the way for more comprehensive financial products and services.
These developments are set to further enhance connectivity, efficiency and innovation in financial services, cementing open banking as a key component of the global financial infrastructure.
General Manager, Technology and Product Consultant Fintech, Insurtech, Miquido
GDPR Improves Fintech Data Privacy
Privacy and data protection have been taken to another level by the General Data Protection Regulation (GDPR), forcing fintech companies to tighten their data management. In compliance with the GDPR, organizations must ensure that personal data is processed fairly, transparently, and securely.
This has led to increased innovation in fintech towards technologies such as encryption and anonymization for data protection. GDPR was described as a top priority in the data protection strategies of 92% of US-based companies surveyed by PwC.
Financial Expert, Sterlinx Global
Regulatory Sandboxes Drive Fintech Innovation
Since the UK’s Financial Conduct Authority (FCA) pioneered sandbox regulatory frameworks in 2016 to enable fintech startups to explore new products and services, similar frameworks have been introduced in other countries.
This has reduced the “crippling effect on innovation” caused by a “one size fits all” regulatory approach, which would also require machines to be built to complete regulatory compliance before any testing. Successful applications within sandboxes give regulators the confidence to move forward and address gaps in laws, regulations, or supervisory approaches. This has led to widespread adoption of new technologies and business models and helped channel private sector dynamism, while keeping consumers protected and imposing appropriate regulatory requirements.
Co-founder, UK Linkology
GDPR Impacts Fintech Data Security
A big change in financial regulations that has had a real impact on fintech is the 2018 EU General Data Protection Regulation (GDPR). I have seen how GDPR has pushed us to focus more on user privacy and data security.
GDPR means we have to handle personal data much more carefully. At Leverage, we have had to step up our game to meet these new rules. We have improved our data encryption and started doing regular security audits. It was a little tricky at first, but it has made our systems much more secure.
For example, we’ve added features that give users more control over their data, like simple consent tools and clear privacy notices. These changes have helped us comply with GDPR and made our customers feel more confident in how we handle their information.
I believe that GDPR has made fintech companies, including us at Leverage, more transparent and secure. It has helped build trust with our users, showing them that we take data protection seriously.
CEO & Co-Founder, Leverage Planning
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Fintech
M2P Fintech About to Raise $80M
Application Programming Interface (API) Infrastructure Platform M2P Financial Technology has reached the final round to raise $80 million, at a valuation of $900 million.
Specifically, M2P Fintech, formerly known as Yap, is closing a new funding round involving new and existing investors, according to entrackr.com. The India-based company, which last raised funding two and a half years ago, previously secured $56 million in a round led by Insight Partners, earning a post-money valuation of $650 million.
A source indicated that M2P Fintech is ready to raise $80 million in this new funding round, led by a new investor. Existing backers, including Insight Partners, are also expected to participate. The new funding is expected to go toward enhancing the company’s technology infrastructure and driving growth in domestic and international markets.
What does M2P Fintech do?
M2P Fintech’s API platform enables businesses to provide branded financial services through partnerships with fintech companies while maintaining regulatory compliance. In addition to its operations in India, the company is active in Nepal, UAE, Australia, New Zealand, Philippines, Bahrain, Egypt, and many other countries.
Another source revealed that M2P Fintech’s valuation in this funding round is expected to be between USD 880 million and USD 900 million (post-money). The company has reportedly received a term sheet and the deal is expected to be publicly announced soon. The Tiger Global-backed company has acquired six companies to date, including Goals101, Syntizen, and BSG ITSOFT, to enhance its service offerings.
According to TheKredible, Beenext is the company’s largest shareholder with over 13% ownership, while the co-founders collectively own 34% of the company. Although M2P Fintech has yet to release its FY24 financials, it has reported a significant increase in operating revenue. However, this growth has also been accompanied by a substantial increase in losses.
Fintech
Scottish financial technology firm Aveni secures £11m to expand AI offering
By Gloria Methri
Today
- To come
- Aveni Assistance
- Aveni Detection
Artificial intelligence Financial Technology Aveni has announced one of the largest Series A investments in a Scottish company this year, amounting to £11 million. The investment is led by Puma Private Equity with participation from Par Equity, Lloyds Banking Group and Nationwide.
Aveni combines AI expertise with extensive financial services experience to create large language models (LLMs) and AI products designed specifically for the financial services industry. It is trusted by some of the UK’s leading financial services firms. It has seen significant business growth over the past two years through its conformity and productivity solutions, Aveni Detect and Aveni Assist.
This investment will enable Aveni to build on the success of its existing products, further consolidate its presence in the sector and introduce advanced technologies through FinLLM, a large-scale language model specifically for financial services.
FinLLM is being developed in partnership with new investors Lloyds Banking Group and Nationwide. It is a large, industry-aligned language model that aims to set the standard for transparent, responsible and ethical adoption of generative AI in UK financial services.
Following the investment, the team developing the FinLLM will be based at the Edinburgh Futures Institute, in a state-of-the-art facility.
Joseph Twigg, CEO of Aveniexplained, “The financial services industry doesn’t need AI models that can quote Shakespeare; it needs AI models that deliver transparency, trust, and most importantly, fairness. The way to achieve this is to develop small, highly tuned language models, trained on financial services data, and reviewed by financial services experts for specific financial services use cases. Generative AI is the most significant technological evolution of our generation, and we are in the early stages of adoption. This represents a significant opportunity for Aveni and our partners. The goal with FinLLM is to set a new standard for the controlled, responsible, and ethical adoption of generative AI, outperforming all other generic models in our select financial services use cases.”
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