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THE GROWTH OF MICROSERVICES IN FINANCIAL SERVICES

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Microservices – an IT model that breaks down slow-moving, monolithic IT systems into multiple small independent services that are highly decoupled and self-contained

By Oliver Presland, Vice President, Global Product Management, at Ensono

 

Microservices – an IT model that breaks down slow-moving, monolithic IT systems into multiple small independent services that are highly decoupled and self-contained – has grown to become a vital asset for financial services companies on their digital transformation journeys. And it’s easy to understand why. With benefits ranging from increased scalability, security and reliability, such IT infrastructure allows financial organisations to move fast, stay proactive and constantly innovate.

So, what are ‘microservices’? Initially devised to solve the inherent problem of monolithic design, microservices breaks up applications into smaller, loosely coupled and independently deployable services. These suites of small services are each designed around different and specific business capabilities.

The model is set to become even more popular in the coming years, with the microservices market anticipated to reach $32 billion by 2023. Even in 2020, many years after the term microservices entered the industry’s lexicon, interest continues to grow according to Google Trends; in February of this year, the search term reached an all-time high with users in the UK.

An example of how microservices have already been successfully utilised can be found in streaming-giant Netflix. Until 2008, Netflix relied on a monolithic model when it suffered an IT outage due to major database corruption. Following this, the decision was made to break apart the application, moving from monolithic to multiple independent services in order to increase scalability, reliability and availability.

This continued growth in interest is understandable, given the success of businesses such as Amazon, PayPal, Capital One, and Monzo. Organisations like these have demonstrated the ability to rapidly scale and deliver value because of their microservices architecture – essential qualities in the financial industry.

 

Microservices challenges

Nevertheless, for organisations considering the move, it’s important to be aware that the evolution from monolithic infrastructure to a microservices architecture isn’t always simple. Not all organisations get it right and it is not appropriate for every application.

A transition to microservices can be particularly painful for banks: these companies and certain other financial institutions typically rely on batch-based processing, and architecture is largely monolithic – ancient by technology standards. The challenge with these monolithic platforms is that customer-facing applications need to have fast development and release cycles to keep up with customer demands. However, there are complex data dependencies, especially when mainframes are thrown into the mix.

Even if a mobile banking application uses an agile methodology to go to market, core banking architectures can cause delays in the pipeline. As Ensono’s own data shows, 29 per cent of businesses struggle with delays in their deployment cycles. 16 per cent are failing to meet delivery deadlines. Amongst banks, those figures are likely to be much, much higher.

 

Benefits within reach

If banks and other financial institutions do get microservices right, then there are plenty of advantages to look forward to. Layered on top of core banking, microservices can:

  • Enable developers to change and re-deploy software without fear of compromising the core application.
  • Decouple release cycles and increase agility, meaning app updates can be developed and deployed in hours.
  • More effectively scale for growth in users and transaction volumes, since the infrastructure can be easily replicated.
  • Reduce the infrastructure’s failure footprint, since code is much less interdependent.
  • Make apps easier to refactor or replace going forwards.
  • Increase scalability, since microservices can be easily replicated.
  • Offer greater coding language freedom.
  • Improve security, since services can be isolated and a security breach does not necessarily threaten an entire application.

These are all considerable advantages for sure, but banks need to ensure that their IT strategy is robust enough to achieve this transition. To run a microservices infrastructure, the whole organisation must align its operations, and other IT units and leaders will need to be pulled into the transition.

Team sizes may need to shrink to accommodate for more agile working practices; DevOps practices and methodologies will likely need to be adopted so that the larger number of services can benefit from fully automated deployments; organizational communication will need to be optimized; and businesses will need to have the tools and processes in place to trace, alert, and recover any faulty services.

Even before all of this, companies need to ask several critical questions: do they really need it, do they have the know-how in house, and is there agreement from all departments. If there are positive answers to all three, then the path ahead may well be one that leads to a microservices model.

 

Business

In-platform solutions are only a short-term enhancement, but bespoke AI is the future

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By Damien Bennett, Global Director, Principal Consultant, Incubeta

 

If you haven’t heard anyone talking about artificial intelligence (AI) yet, then where have you been? Conversations about AI and its advantages to society have been a key talking point over recent months, with advances being made in the generative AI race and ChatGPT opening a whole plethora of possibilities. Many have highlighted the advantages of AI, but notably it’s ability to create human-like content.

But these discussions have only scratched the surface of what AI is capable of doing. It is for far more than just essay writing, adding Eminem to your rave and photoshopping dogs into pictures.

In marketing, we have been using AI for years, for everything from analyzing customer behaviors to predicting market changes. It’s enabled us to segment customers, forecast sales and provide personalized recommendations, having a huge impact on how our industry works.

It is even, for the more savvy marketers of the world, becoming a key tool in maximizing budget efficiency – which is apt, considering over 70% of CMOs believe they lack sufficient budget to fully execute their 2023 strategy.

Now, as AI becomes more intelligent, the number of efficiencies it can unlock continues to rise. Not only can it help brands get the most out of their available resources and identify any areas of waste, but it can also help highlight new opportunities for growth and maximize the impact of your budget allocation.

The trick, however, is to veer away from the norm of using in-platform solutions with a one-size-fits-all approach and create your own, bespoke solutions that are tailored to your business needs.

 

Pitfalls of in-platform solutions

In-platform solutions aren’t by any means a bad thing. In fact, built-in AI tools have become increasingly popular, owing to their ease of integration, user-friendly interfaces and minimal set up requirements. They come pre-packaged with the platform, offering the user the ability to leverage AI technologies without the need for in-depth technical expertise or the upfront cost of building a solution from scratch.

However, the streamlined and accessible nature of in-platform AI solutions comes at the expense of complexity and customization. They are designed to serve a broad user base, but for the most part are built using narrow AI solutions with predefined features and workflows.

This makes them great for assisting with common AI tasks, but they lack the flexibility to tailor functionality towards unique business requirements or innovative use cases, limiting the potential efficiencies and cost savings that can be unlocked. Additionally, if a business’ competitors are using the same platform, they are probably using the same AI solution, meaning any strategic advantage gained from these will be reduced.

Bespoke AI solutions, on the other hand, may carry a higher initial investment – but can offer a significantly more attractive ROI over a short amount of time.

 

Why customized and adapted AI is the key

The difference between bespoke AI and in-platform solutions is similar to that between home cooked food and a microwave meal. Yes, it is more time consuming to prepare, and yes it likely carries more of an upfront cost, but the end result is going to be far more appealing and will carry more long-term value (financially… not nutritionally).

That’s because bespoke solutions, by nature, will have been tailored to address your brands specific needs and challenges. These custom-built tools allow for much greater efficiencies by streamlining workflows across different channels, automating more complex tasks, and providing deeper, more relevant insights.

The increased level of optimization can significantly improve productivity and reduce operational costs over time, offering a higher ROI. The increased flexibility of bespoke AI also allows brands to implement innovative use cases that can significantly differentiate them from their competitors.

The data analyzed can be specifically chosen to match business requirements, as can the outputs of the AI tool, providing a significant advantage when understanding and acting on the insights provided.

Additionally, these tools are, by nature, more scalable. They can be updated, upgraded and expanded as needs change, ensuring they continue delivering value as the business grows. They can also be designed to integrate with any existing IT infrastructure, from CRM systems and databases to marketing platforms and sales tools – leading to more efficient and effective decision-making.

 

Managing finances with AI

It’s no secret that AI in marketing automation has, and will continue to, revolutionize the way marketing is done. It has a bright, if slightly terrifying, future and can help CMOs to unlock new efficiencies, maximize the impact of their budgets and increase their ROI. And as this technology becomes more advanced, its impact will only increase.

But we already know that…and so does everyone else.

So, in order for businesses to make themselves stand out from the crowd , they must look to fully adopt the power of AI. Creating a customized and unique AI solution could be the way to set yourself apart from your competitors. A bespoke AI tool can provide brands and businesses with features unique to them and their business needs. As a result, companies will benefit from more useful data and better results to make more data-driven decisions for their business. Ultimately, this will help brands to maintain a competitive edge over their competitors, deliver ROI and most importantly optimize their budgets.

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Business

Is your business suffering with Fintech FOMO?

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FinTech Trends In 2022

Tom Kiddle, Chief Commercial Officer at Equals Money

 

It’s a challenging time for businesses of all sizes, but the past three years created storms that are particularly hard for SMEs to weather. For businesses dealing with shrinking margins, while a weakened pound is making international purchases more costly, it’s a scary time.

For many businesses this meant initially reigning in any unnecessary costs, reducing investment in anything deemed as a ‘nice to have’, and focusing on keeping the lights on. However, despite not being out of the woods in terms of economic challenges, this year many SMEs have their eyes on growth.

While some might have been buoyed by the news that the UK narrowly avoided a recession at the end of last year[1], data shows businesses were already making investments before this news was released. In fact, UK business investment rose by 4.8% in Quarter 4 (Oct to Dec) 2022, coming in at 13.2% above where it was during the same quarter in 2021[2].

So, where are SMEs putting their cash? As well as predictable spending on IT equipment, machinery, and transport[3], businesses are also putting more funding than ever into technology investments – a trend that isn’t slowing down anytime soon. UK tech investment is set to grow at its fastest rate in over 15 years, both in terms of budget but also headcount[4]

Tom Kiddle

UK businesses are clearly seeing the real opportunity that technology, in all its various forms, presents to their operations. This may also be bolstered by the fact that tech investments are potentially more cost-effective now that the government has made recent changes to R&D tax relief, which sees things like cloud computing and data included in expenditure categories[5]. When it comes to revamping legacy systems and introducing Fintechs that offer businesses a smarter, easier, automated way of doing business, investing in technology can increasingly feel like a no brainer.

However, it’s rare that a one size fits all solution exists for businesses. What works for your competitor may not offer the same benefits to your organisation. In a world with so many risk factors, making smart investments that are aligned to your individual business goals is key.

Tom Kiddle, Chief Commercial Officer at innovative money movement solution Equals Money, explains four ways businesses can reap the rewards of smart tech investments:

1. Measurement

Can you measure the impact it will have on your business? It doesn’t have to be monetary, but if it gives you efficiency, visibility, or certainty, these can have measurable tangible impacts to your top and bottom line.

2. Insight

Does it tell you something you didn’t know before about your customers, your employees, your suppliers, and their behaviour?  What could you do with that information? Often, businesses lack critical insight on their key drivers, and understanding those can open up new opportunities.

3. Action

Pretty charts and graphs make for good reading, but make sure you’re taking action with your new piece of tech. Setting accountability for action from your latest investment will drive your business to achieve a return on that investment and ensure it doesn’t sit on the shelf.

4. Adoption, adoption, adoption

Often, the latest tech trend may seem like a great investment to the motivated few, but look more broadly: if your intended internal target for your new tech fails to adopt the new practice, you won’t achieve the return promised. Also, more likely than not, you’ll frustrate both the key supporters of the new product and those you’re imposing it on.

Innovative technology, particularly in the finance space, can transform the way you do business, but avoid being lured in by solutions that don’t align to your individual needs. Good suppliers should always take the time to give an honest appraisal of whether their product is right for you and should leave you feeling empowered to devote time to what matters most – growing your business.

 

[1] HR Solutions, 2022 [2] The Guardian, Feb 2023 [3] ONS, Dec 2022 [4] ONS, Dec 2022 [5] Nash Squared Digital Leadership Report, 2022 [6] BDO, 2023 [1] The Guardian, Feb 2023 [2] ONS, Dec 2022 [3] ONS, Dec 2022 [4] Nash Squared Digital Leadership Report, 2022 [5] BDO, 2023

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