# How the future of financial services is being reimagined with evolutionary AI
Author:  Pal Sinha, Barnali 
Author URL: https://financedigest.com/author/pal-sinha-barnali
Published: 2020-04-27
Category: FINANCE
Category URL: https://financedigest.com/category/finance
Meta Title: Evolutionary AI in Financial Services: The Future of Banking
Meta Description: Discover how evolutionary AI is revolutionising the financial sector, offering unparalleled customer experiences and improving operational efficiency in banks
URL: https://financedigest.com/how-the-future-of-financial-services-is-being-reimagined-with-evolutionary-aihtml

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_By_ **_Babak Hodjat,_** _VP of Evolutionary AI at Cognizant_

**AI driven solutions are becoming a competitive differentiator for banks and other financial services — delivering a hyper-personalised customer experience, improving decision-making and boosting operational efficiency. Yet, many financial services institutions (FIs) remain in an experimental phase and will need to accelerate actual AI deployment. Otherwise, they risk being left behind by digitally native players.**

AI is rapidly transforming every aspect of the financial world. This transformation has accelerated recently, thanks to evolutionary [AI – a new breed of technologies](https://www.financedigest.com/money-and-technology-the-continued-integration-of-fintech-with-daily-lives.html "Money and technology – the continued integration of fintech with daily lives") that allows AI to automatically design itself with little need for explicit programming by humans. As it gradually becomes mainstream, evolutionary AI’s capability to innovatively create complex AI models, and to optimise decisions considering multiple scenarios, is [set to reimagine the financial sector](https://www.financedigest.com/the-technologies-set-to-boost-the-finance-sector-in-2022.html "The technologies set to boost the finance sector in 2022"). It will enable every player in this field to spot novel strategies that would never have been identified by human [data scientists, and, in turn, allow companies to take full advantage of today’s massive data sets](https://www.financedigest.com/byd-set-to-be-chinas-top-selling-car-brand-for-nov-tesla-gains-data.html "BYD set to be China’s top-selling car brand for Nov, Tesla gains -data").

**The basics**

Emerging [technologies that enable](https://www.financedigest.com/ethical-financial-selling-the-role-of-compliance-technology-and-sales-enablement.html "Ethical Financial Selling: The Role of Compliance Technology and Sales Enablement ") AI algorithms to design themselves are allowing organisations to transcend human limitations. Evolutionary AI operates iteratively. Firstly, it randomly generates a set of potential solutions to form an initial population and assigns a score to each solution based on how well it performs relative to other solutions. In the [second round](https://www.financedigest.com/meta-to-cut-10000-jobs-in-second-round-of-layoffs.html "Meta to cut 10,000 jobs in second round of layoffs"), it retains the solutions that performed best, perhaps only 5% of the total, and recombines their components, sometimes “mutating” them to create a new population. This new population is then tested, and the process begins again. Over multiple generations, the appropriate components of the more [successful solutions](https://www.financedigest.com/the-professionals-at-real-estate-funding-solutions-helping-you-find-success-with-commercial-real-estate-loans.html "The Professionals At Real Estate Funding Solutions Helping You Find Success With Commercial Real Estate Loans") become increasingly prevalent in the population, and eventually a solution is discovered that yields the best outcomes.

**Why organisations should consider adopting evolutionary AI**

Compared to human design, evolutionary AI can be deployed far more quickly, avoids biases and preconceptions, and typically performs better. Furthermore, the chosen model will evolve and [improve over time based on new data](https://www.financedigest.com/how-finance-firms-can-unify-two-data-approaches-to-improve-both-compliance-and-security.html "How finance firms can unify two data approaches to improve both compliance and security").

Evolutionary AI can be applied in a wide variety of areas at FIs. Some examples include designing quantitative trading strategies to maximise [returns while minimising risk](https://www.financedigest.com/driving-returns-and-reducing-risk-with-data.html "Driving returns and reducing risk with data") and loan underwriting. Rather than relying on human analysis, evolutionary AI solutions can quickly analyse all the combinations of relevant variables to create [models that more accurately assess the risk](https://www.financedigest.com/insurers-must-reimagine-traditional-risk-models-to-adapt-to-climate-change.html "Insurers Must Reimagine Traditional Risk Models to Adapt to Climate Change ") of default by a potential borrower.

**Steps to experiencing the** [full potential](https://www.financedigest.com/embedded-finance-is-the-new-norm-in-banking-but-what-is-needed-to-unleash-its-full-potential.html "Embedded finance is the new ‘norm’ in banking, but what is needed to unleash its full potential? ")

In order to [reap the benefits](https://www.financedigest.com/inflation-trade-nestle-reaps-benefits-from-higher-prices.html "Inflation trade? Nestle reaps benefits from higher prices") of the technology, FIs should focus on the following:

- **Create and maintain responsible AI** [applications – Behave](https://www.financedigest.com/lane-change-assist-systems-market-overview-business-growth-development-factors-application-and-future-prospects.html "Lane Change Assist Systems Market Overview – Business Growth, Development Factors, Application And Future Prospects") in ways that make customers and employees comfortable, i.e. not making decisions that are unethical or exhibit bias. Companies need to monitor them to ensure they continue to act appropriately, as they learn and evolve.
- **Craft business-driven AI [strategies –AI should be viewed through a business](https://www.financedigest.com/albumin-market-in-depth-analysis-business-strategies-and-growth-rate.html "Albumin Market In-depth Analysis, Business Strategies, and Growth Rate") lens, rather than as a technology issue. Having AI projects managed by cross-functional [teams with business executives](https://www.financedigest.com/adnami-strengthens-executive-team-with-jorgen-gosvig-appointed-as-cfo.html "Adnami strengthens executive team with Jørgen Gosvig appointed as CFO") in the lead is a good place to start. Companies also need to look across their organisations to identify opportunities to generate concrete business value from AI — not only in reduced costs but also in boosting revenues by delivering enhanced [customer experiences and through improved](https://www.financedigest.com/improving-customer-experience-and-profits-with-embedded-payments.html "Improving customer experience and profits with embedded payments") decision-making.**
- **Enhance data management –** AI applications depend on access to timely and accurate data, which is a [challenge for many FIs that have fragmented data architectures with multiple legacy systems](https://www.financedigest.com/from-fragmented-systems-to-unified-cpm-unicredit-prepares-for-todays-finance-challenges.html "FROM FRAGMENTED SYSTEMS TO UNIFIED CPM – UNICREDIT PREPARES FOR TODAY’S FINANCE CHALLENGES"). [Companies need to identify which types](https://www.financedigest.com/immunology-drug-market-growth-by-top-companies-trends-by-types-and-application-forecast-analysis-to-2030.html "Immunology Drug Market Growth by Top Companies, Trends by Types and Application, Forecast Analysis to 2030") of data are required for each AI project and ensure they can be captured in an appropriate format.
- **Adopt an experimental** [mindset – AI projects need](https://www.financedigest.com/a-mindset-change-is-needed-in-the-financial-services-industry.html "A mindset change is needed in the financial services industry") to be rolled out quickly, while at the same time be rigorously measured, so failures are terminated promptly while successes are moved into production.

As AI applications increasingly design and test themselves, the [pace of innovation and the accuracy of predictions will vastly improve](https://www.financedigest.com/polypropylene-fibre-market-witness-a-spike-in-growth-pace-recent-improvements-in-pricing-models-fmi.html "Polypropylene Fibre Market Witness a Spike in Growth Pace Recent Improvements in Pricing Models: FMI"). It is inevitable that FIs will soon consider it irresponsible to make [important business](https://www.financedigest.com/the-importance-of-intuition-in-business.html "The Importance of Intuition in Business ") decisions without first consulting with an AI system. Robots will [handle routine tasks while flagging exceptional cases](https://www.financedigest.com/case-handling-machines-market-global-size-growth-opportunities-industry-potential-segmentation-overview-trends-and-forecast-studies-2028.html "Case Handling Machines Market Global Size, Growth Opportunities, Industry Potential, Segmentation Overview, Trends And Forecast Studies 2028") for review and resolution by employees. Employees will [spend their time](https://www.financedigest.com/its-time-for-banks-to-spend-on-digital-mortgage-journeys.html "It’s time for banks to spend on digital mortgage journeys") on more complex decisions and sensitive interactions with customers, such as resolving complaints or providing sophisticated financial advice. In short, [humans and AI robots](https://www.financedigest.com/human-robotics-will-robots-replace-bankers.html "Human Robotics: Will Robots replace Bankers?") will be working side by side, delivering more value in combination than either could on its own.


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