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4 Strategies for Success: Deepening Relationships & Building Trust between Data Science and Business Teams

Mike Skypala, Industry Expert specialising in Retail and Consumer Packaged Goods (CPG) at Teradata

Business teams increasingly rely on the insights and models developed by data science or broader data teams. But there is still a gap between data scientists and business users when it comes to understanding each other’s language and value. This gap is created by the discrepancy between data scientists’ understanding of their worth on one side and business teams and how they perceive the involvement of the data science teams on the other side.

Those who work in business functions have become used to technology enablement across all aspects of their role. They rely on office productivity tools, systems, or apps for most of the processes they manage or support. Additionally, Data Science provides further insights and intelligence. Artificial Intelligence (AI) and Machine Learning (ML) capabilities offer extra decisioning automation.

This development is both exciting and concerning. Business teams are now making decisions using highly trained models rather than a mixture of judgement and insight. In some cases, those decisions are even being made for them due to complete automation.

Business users, who revel in the technology enabled world, have a high degree of trust invested in the models and other outputs of the data science team. This can lead to complacency and lack of curiosity when working on business questions. If the model fails to work, business users can feel threatened. Due to the lack of dialogue and understanding about the inputs and process for creating these models, business teams and data science teams struggle to achieve their goals.

You also find business teams who are less tech savvy, especially when it comes to working with AI and ML tools. Sometimes there is mistrust in the technology and concern of how to use it. Some business users might fear that their expertise is being downgraded. These business teams might wonder how decisions can be better based on data alone. To some people AI and ML still has an Orwellian feel to it.

Much of the Chief Data Officer’s and Chief Data & Analytics Officer’s time is spent on democratising data, meaning how do we enable everybody in an organization, no matter of their technical background to work with data confidently and make data-informed decisions. They also ensure that business value and outcomes are delivered from data engineering and data science to the business.

The goal is to have data science teams work with internal product teams or vendor solutions to equip the business user with the means to make decisions and act by creating their own models, alerts, and dashboards. For example, the marketing team being able to run and improve their own customer churn predictive models and better personalize messages, offers and content accordingly.

But this is not the reality in most organizations. Most data science teams still spend much of their time data wrangling and trying to reduce this time by changing the data architecture.

Data science is still embedded deeply in data quality and completeness issues, facing increasing legislation on responsible AI. They also face business users who often struggle to understand the work they do and are suspicious of the value and credibility that data science brings to the table. At the same time business teams expect a lot of the involvement of data science.

Here are four strategies to improve the relationship between data science and the business. 

Firstly, ensure you have a data analytics platform which enables data scientists to use their favoured tools and code, run and train models at speed and have a model governance and management environment which provides full transparency and lineage. This ensures that the data science team is free to innovate and can develop models using best practice. Once trained, the models can be deployed at speed and scale, and the business can start measuring the value, which builds trust and confidence.

Secondly, build a continuous dialogue and knowledge transfer programme between the data science team and the rest of the business. Glossaries are always useful. A library of data products and models and the business outcomes they have delivered is even better! The most advanced organizations invest in initiatives to define responsible AI & ML means, how it will be executed, and what that means for each business user. As legislation on responsible AI is rolled out, business users will want to know not only if their AI and ML models are compliant, but also how they are synchronized to the values and purpose of the business.

Thirdly, transparently share a roadmap of what is being built and delivered around AI and ML. This enables the business users to challenge and build on the importance, relevance, and impact of planned initiatives. Also, data products require an internal launch just as much as those emanating from the product teams. The roadmap should always contain the internal comms and expected business outcome.

Fourthly, ensure your data science teams prioritize efforts to involve business users deeply in model creation, business rules and the key principles and methodologies which drive the models. Co-collaboration breaks down barriers and improves shared understanding, as well as improved models!

As data science becomes more pervasive in organizations, the actions above, plus the Chief Data Officer and Chief Data & Analytics Officer having seats in the executive leadership team, will be critical for ensuring effective, trusted, and durable AI and ML deployment.

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Business

Technology’s Role in Transforming Insurance: From AI to Cyber Risk 

Source: Finance Derivative

Authored by Samiul Chowdhury, Principal Actuarial Consultant, RNA Analytics 

The insurance industry is undergoing a significant transformation, driven by rapid advancements in technology. From property and casualty to life insurance, the role of digital solutions has never been more important. Today, it’s almost impossible to imagine a successful, compliant insurance business without technology at its core. 

But how exactly is technology reshaping the insurance landscape? And what does it mean for the future of actuarial work, AI, and cyber risk? Let’s explore. 

The Essential Role of Technology in Modern Insurance 

Technology is the cornerstone of the successful modern insurance business – whether property, casualty or life. It’s no longer optional—it’s essential! Operating a successful and compliant insurance company today without the help of software solutions would be a real challenge. Whether it’s managing customer data, meeting regulatory demands, or assessing risk, technology is at the heart of everything modern insurers do.  

In recent years, regulatory compliance has been a top priority for (re)insurers across the globe, with IFRS 17 probably the number one focus. The new accounting standards are highly complex, and their implementation has forced many insurers to rethink and redesign their entire approach to financial reporting and infrastructure. However, this challenge has also been a catalyst for technological innovation.  

One of the most significant changes brought about by IFRS 17 is the integration of traditionally siloed such as functions such as actuarial, finance and accounting functions. This alignment gives insurers unprecedented insight into opportunities and risks, enabling them to make more informed decisions. Beyond compliance, accuracy and extensive flexibility, this integration offers insurers a chance to enhance accuracy, achieve greater flexibility, and gain a deeper understanding of their financial landscape. 

How AI is Changing the Actuarial World 

Much has been said aboutArtificial Intelligence (AI) and its potential to disrupt industries. In insurance, AI is already proving to be a game-changer, especially in actuarial work. With the right approach, AI holds great promise of making processes smoother and bringing faster, more accurate decision-making into play. 

However, AI is not here to replace actuaries. Instead, it enhances actuaries’ roles by automating their routine tasks such as data pre-processing, model fitting, and report generation. This automation allows actuaries to focus on more strategic tasks, giving them a more central role within the organizations. 

Meanwhile, AI modelling introduces new sources of uncertainty. Actuaries must understand the limitations and assumptions behind the AI models they are using. It’s important to ensure that these are fair, unbiased, and ethical —particularly when it comes to pricing and underwriting. This means actuaries will need to pick up new skills, especially in data science and programming languages like Python and R.  

In other words, AI offers actuaries the chance to work more efficiently and strategically, but only if they are prepared to navigate the complexities it brings. 

The Growing Challenge of Cyber Risk. How Do Insurers Keep Up?  

Cyber risk has emerged as one of the most significant threats insurers face today. Cyber insurance is not the same as it was twenty years ago. The policies were relatively simpler, and insurers didn’t have as much data or experience to rely on. Today, they are more complex, reflecting the increased scale and sophistication of cyber threats. 

As cyberattacks have increased, so has our ability to model and understand them. Insurers have gained more data over time, which has allowed them to get a better grip on the risks involved. However, here is the thing: technology evolves, and so do the threats. Whether it’s a data breach, ransomware attack, or even non-malicious technical failures like the recent CrowdStrike outage, the risks are more systemic and far-reaching than ever.  

Looking ahead, as we enter the Web3 era where information becomes ever more interconnected and managed by semantic metadata, we’ll have a complete set of new vulnerabilities. Business models will shift, and with that, the risks insurers will need to cover. By 2044, cyber insurance policies will probably look quite different from what we see today. 

Conclusion 

The insurance industry is at a turning point, driven by the rapid adoption of technology and the increasing complexity of risks like cyber threats. To stay ahead of the curve, insurers need to embrace AI, data-driven decision-making processes, and advanced risk models. 

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Business

The EPC’s Verification of Payee rulebook: Five things banks need to consider

Source: Finance Derivative

Pratiksha Pathak, Head of Payments Services at RedCompass Labs, shares her insights on the Verification of Payee’s (VoP) impact and what it means for European payment service provers (PSPs).

Fraud is an ever-present threat in the payments landscape, and with the rise of instant payments, the risk has never been greater. While these rapid transactions offer unmatched convenience, they also pave the way for instant fraud, leaving financial institutions with minimal time to intercept suspicious activity.

In October, the European Payments Council (EPC) published the long-awaited Verification of Payee rulebook, which marked a major milestone in the SEPA Instant Payment Regulations (IPR) and a key effort to combat payments fraud.

In 2022 alone, fraudulent credit transfers, direct debits, card payments, cash withdrawals, and e-money transactions across the EEA reached a staggering €4.3 billion, with an additional €2.0 billion lost in just the first half of 2023.

The VoP rulebook aims to standardise how banks confirm payee account details, protecting consumers from fraudulent transactions.  However, while the intentions are solid, the new regulations present several challenges that banks must address swiftly and efficiently.

  • Tight deadlines leave no room for error

The deadlines are tight. Banks must have a VoP solution in place across all payment channels by 5th October 2025, which is just four days before the IPR comes into effect. Unfortunately, it doesn’t matter if a bank uses an existing domestic verification service since the rulebook standardises how account information is verified in payments across Europe.

This means that every bank will need to adapt or overhaul its systems to meet pan-European standards. Given the verification process will apply to both SEPA and SEPA Instant payments across all payment channels, it will be a big lift for banks.

The challenges are compounded by the rollout of the EPC Directory Service (EDS), which is the centralised database that underpins the scheme. The EDS won’t be ready for testing until late June 2025. This leaves only three months for banks to complete end-to-end testing and fully deploy their solutions.

Some aspects of VoP, such as APIs and channel infrastructure, can be built in advance, but banks won’t be able to conduct end-to-end testing until after the EDS is ready. For institutions grappling with legacy systems or more complex architectures, the timeline is daunting and leaves little to no room for error.

  • The 5-second rule is a small change with a big impact

Another key change is the extended verification window. Banks now have five seconds, rather than three, to confirm payee account details across all channels.

Whilst this may seem generous, it is still a tight squeeze given the intricacies involved. This means that both the payment engine and all customer-facing channels—whether online, mobile, phone, or paper-based—must be highly available, fast, and scalable. 

Ensuring a smooth customer experience, especially for non-digital transactions, will test banks’ technological limits. While mobile and online platforms might be better equipped, accommodating phone and bulk transactions introduces layers of complexity.

It may be more time than before, but the five-second verification window leaves little margin for error – never mind the one-second timeframe the EPC would prefer. 

  • Bulk payments are a logistical headache

One of the most complex aspects is VoP’s application to bulk-payment files, such as salary payouts. The rulebook demands that each individual payment in a file undergo verification, potentially creating a logistical nightmare.

Imagine a scenario where thousands of payments trigger a mix of ‘match’, ‘close match’, and ‘no match’ results. As a bank, how do you relay this information to your client within 5 seconds? Do you provide the notifications in a file? Through an app? A checklist? 

Handling a flood of verification requests within seconds requires not only a robust infrastructure but also meticulous planning. Banks must devise sophisticated mechanisms to process and deliver results without disrupting the broader payment workflow to prevent operational chaos.

  • Legacy systems will feel the pain

For many banks, the biggest challenge lies in integrating VoP into long-established SEPA payment systems because it requires modifications to processes that are already running smoothly. 

Banks need to ensure that all their payment channels can incorporate VoP functionality without disrupting the current flow. Banks may need to upgrade or completely rework several parts, making the process complicated and costly.

Verifying payees at the beginning of a transaction requires changes to how these systems interact and handle data. Banks will also need to ensure that existing transactions continue without delays and errors, which will prove to be a big challenge for those with multiple existing payment channels.

  • Navigating routing and verification is complex

The new EPC/European Directory Service (EDS) may bring operational challenges. Whilst the EDS serves as a directory, it doesn’t handle the actual routing or verification of VoP requests and responses. Most banks now need to develop their own routing and verification mechanisms (RVMs).

These RVMs will act as connection points for participants and banks must either integrate directly with the EDS or use an RVM to route VoP requests. However, using an RVM doesn’t absolve the responding PSP of its responsibilities under the scheme’s rules.

Banks face a significant challenge in setting up or partnering with an RVM to manage this new process, but finding an RVM supplier will be a good place to start. 

The bottom line

The EPC’s VoP rulebook is a decisive step forward in improving payment security across Europe, but it also introduces significant challenges for banks. 

As banks start to prepare for this overhaul, balancing compliance with operational efficiency will be key to protecting customers whilst maintaining a seamless payment experience.

European banks have their work cut out for them. The demands of implementing VoP are high, and the timeline is short. But with the right expertise and strategic planning, it can be done.

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Business

How eCash and digital wallets will diversify the payments landscape in 2025

Source: Finance Derivative

Written by Fernando Costa-Cabral, SVP Branded Payments, and Ishan Vaid, VP Core Features, at Paysafe.

Throughout 2025, we’ll see two seemingly opposing payment methods – eCash and digital wallets – further reshaping how consumers manage their money. While cash – and future access to it – is still critically important for consumers, digital payments are undergoing a huge transformation.

eCash will continue to bridge the digital divide by ensuring consumers can use physical currency to buy goods and services online. As a result, businesses will leverage it as a democratizing force to promote financial inclusion and serve diverse consumer segments.

Digital wallets also have a major role to play in the evolving payments landscape, with 32% of consumers reporting to have increased their use of wallets in 2024. A notable development is the rise of brand-owned wallets, as businesses outside the financial services sector seek to establish closed-loop ecosystems to control and enhance the customer experience.
 

With a view to the year ahead, here is how eCash and digital wallets will evolve throughout 2025.

Bridging the digital divide with eCash


Even in today’s digital world, cash plays a vital role in consumer finances. Recent research from Paysafe has revealed that 63% of consumers harbor concerns about losing access to cash, while 44% want the option to buy items online and pay in cash at a brick-and-mortar store.

This preference stems from the unique advantages of cash: it provides tangible financial security, enables precise spending control, and helps users avoid the often-hidden costs commonly associated with credit-based payments. Across geographies, cash remains essential for reducing financial anxiety and ensuring reliable transactions.

Despite its enduring importance, cash has largely remained on the sidelines of the recent payment revolution. Traditional cash-based operations continue to be cumbersome and time-consuming – whether it’s depositing physical money into a bank account, coordinating international cash transfers, or attempting to set up installment payments. Furthermore, the retail sector has generally overlooked cash users when developing modern consumer incentives such as cashback programs, buy-now-pay-later (BNPL) schemes, or subscription-based services, creating a noticeable gap in the market.

That is all now changing. This year, eCash will solidify its position as the right solution to bridge this divide between physical currency and our increasingly digital economy – making cash more relevant and accessible in the modern world. In the year ahead, eCash’s progression will materialize through three main developments: enhanced security measures, value-added features, and a significantly improved user experience. With these improvements, eCash can transform traditional cash into a simple and secure payment method with the same core benefits that make cash valuable to many people.

Digital wallets will diversify the payments landscape


In a similar vein to eCash, digital wallets are diversifying the payments landscape, with non-financial brands increasingly venturing into the territory once dominated by incumbent financial service providers. By acquiring their own digital wallet solutions, these brands are reducing their dependence on external financial institutions and enhancing the payment experience.

The trend toward brand-owned wallets has already gained traction in Asian markets, with e-wallets now being offered by ride-hailing apps and e-commerce platforms – and we anticipate a significant uptake in markets like the UK over the coming year. Specifically, retail chains, gaming platforms, and logistics companies are all exploring how digital wallets can streamline their payment processes, strengthen customer loyalty, and deliver greater control over the user experience.

There’s particularly strong momentum building around white-label wallet solutions, which provide businesses with a sophisticated approach to payment integration. These solutions enable brands to incorporate advanced wallet functionalities directly into their existing platforms while maintaining complete control over their user interface and experience. This development aligns with a broader strategic shift we’ve observed across various sectors – from gaming and retail to mobility services – where brands increasingly want a closed-loop ecosystem that they manage.

In 2025, we can anticipate four key evolutionary trends in the digital wallet space. First, we will see even more seamless integration of wallet functionality into non-financial platforms, allowing users to complete transactions without leaving their preferred brand’s ecosystem. Second, there will be significant advances in real-time currency conversion capabilities and multi-currency wallet features, catering to the growing demands of global commerce and international travel. Third, we can expect enhanced instant settlement capabilities, supported by faster payment rails that align with contemporary consumer expectations for immediate transaction processing and gratification. Finally, there will be an increased emphasis on sustainability, with digital wallets incorporating eco-friendly features such as carbon footprint tracking to meet the growing consumer demand for environmentally responsible financial services.

While these two technologies and their respective journeys aren’t necessarily joined at the hip, as 2025 unfolds both eCash and digital wallets will help to create a more accessible and customer-centric financial system. This evolution isn’t about choosing between cash and digital – it’s about seamlessly bridging both worlds, giving consumers and brands greater control over how they pay and get paid.

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