An excellent Account Information Service is based on the accuracy of the categorization of transactions
In 2021, Creditinfo Estonia received permission from the Financial Supervision Authority to start offering account information services in Estonia, which later expanded to the markets of Latvia and Lithuania. Today, we have been offering the account information service on the market for almost two years. The account information service is based on the PSD2 directive. We have access to the transaction data of customers of banks and financial institutions using a secure data transmission channel and customer consent.
Account information categorization is the first and most trivial account data processing that creates customer value. In addition to the primary value, categorization is also an input for all subsequent, significantly more value-creating services (for example, debt risk assessment). Without categorization, each time finding, analyzing and displaying value from account information becomes too resource-intensive, so the end user would have to wait a relatively long time to get a result from their data.
Unfortunately, categorization is worthless if the accuracy and quality of the categories are low. Of course, every transaction on a bank account is not an input for assessing a person’s credit risk. When determining credit risk, it is critically important that the accuracy of the categorization of transactions required for analysis is as high as possible. This is to prevent credit losses for companies and overdue debts for private individuals, directly affecting both interest groups’ reputations.
The main input from categorization is related to income
Visit creditinfo.ee/en for more information.
Ivo Vallau
Open Banking Product Manager, Ceditinfo Estonia.
Access to customer bank transaction data provides a basis for more intelligent business decisions
In 2021, Creditinfo Estonia received permission from the Financial Supervision Authority to start offering account information services in Estonia, which later expanded to the markets of Latvia and Lithuania. Today, they have been offering the account information service on the market for almost two years. The PSD2 directive regulates the account information service, that grants account information service provider (Creditinfo) access to the transaction data of end-customers of banks and financial institutions, using a secure data transmission channel and customer consent.
Intelligent business decisions can only be made when decision-makers have enough information when making the decision. Decisions made without comprehensive information may remain superficial or rely too much on intuition. A joint decision becomes smart by including relevant, up-to-date, appropriate and verified data for decision-making, analyzing it and drawing conclusions from it.
Companies that want to be competitive in the market and, at the same time, grow faster than the market must act consciously and operatively to take advantage of the exponentially increasing amount of data and to navigate the diverse data landscape. The word “action” means the application of well-thought-out multiple technologies, the careful selection of primary data and adaptation to large, innovative data sets that provide the company with necessary data inquiries and detail-specific analyses. The actions mentioned in the previous sentence are based on the data value chain – a framework for managing data from collection to decision-making.
Access to bank transaction data gives the financial sector and several other sectors an unlimited opportunity to use innovative data sets to improve their business processes. Data (including account data) collection, analysis, targeted use and data-driven decision-making directly relate to Creditinfo’s core business. Creditinfo has invested a lot of time and knowledge to ensure and support its customers in successfully using the account information data. Remember that the customer does not have to invest resources in implementing the necessary specific technologies and data analysis in addition to their core business to filter and acquire value from bank transaction data.
Creditinfo adds value to account data with information from other sources
Bank transaction data helps to make more intelligent and more informed decisions regarding the products, services and conditions offered to the end customer. Figuratively speaking, credit bureau data enlighten one corner of the room of a person’s financial behavior, and the information obtained from account transactions enlightens the other corner of the room of a person’s financial behaviour.
Account information, besides evaluating financial behavior, provides information about a person’s daily habits, experiences, preferences, hobbies and much more.
In summary, access to the data of the end customer’s bank transactions provides a foundation for making business decisions based on an even more extensive and significantly more diverse data set, in other words, making decisions even smarter. As a universal, comprehensive solution provider throughout the Baltics, Creditinfo is the only partner for its customers with access to credit bureau data, global KYC data, and bank account data.
Visit creditinfo.ee/en for more information.
Ivo Vallau
Open Banking Product Manager, Ceditinfo Estonia.
Creditinfo appoints Satrajit Saha as new Global CEO
Former CEO of TransUnion Europe – Satrajit Saha – brings his expertise to Creditinfo, planning to drive growth across its credit bureaus globally.
London – 29th November 2023: Creditinfo, a global service provider for credit information and risk management solutions, has today announced the appointment of Satrajit Saha as its Global Chief Executive Officer (CEO). With over 20 years of experience in banking and credit bureau, Satrajit will drive the growth of Creditinfo and the maturity of its credit bureaus globally. He joins the company from TransUnion Europe, where he held the position of CEO for the last five years.
In his role, Satrajit will lead Creditinfo in advancing its strategic initiatives, with a particular focus on promoting financial inclusion worldwide. Drawing on his rich background in the credit information industry, spread across Asia, Africa, and Europe, he will lead the next phase of Creditinfo’s growth on a global level as it strives to become a truly global bureau and the leader for facilitating access to finance in both developed and emerging markets.
As an experienced strategic leader, Satrajit has an impressive reputation in the financial services space. At TransUnion Europe, he led the board of all TransUnion’s European owned entities. Before joining TransUnion Europe, he was Chief Business Officer at TransUnion India, where he was responsible for crafting and executing TransUnion’s CIBIL’s market strategy. He was also Cards Head, Africa Region, at Barclays Bank.
Satrajit Saha, newly appointed Global CEO at Creditinfo said: “I am honored to take on the role of Global CEO at Creditinfo, a company that is at the forefront of promoting financial inclusion. Together with the talented team at Creditinfo, we will continue to leverage innovative data sets and solutions to bridge information gaps and create opportunities to facilitate access to finance for individuals and businesses globally.”
Monty Ismail, Director at Levine Leichtman Capital Partners and Creditinfo Group Board member said: “We are delighted to welcome Satrajit “Satty” Saha as our new Global Chief Executive Officer. He is an accomplished executive with successful leadership experience relevant to our business, including his time as CEO of TransUnion UK. Today marks the beginning of a new chapter for Creditinfo, and we are excited to see Satty, with extensive knowledge of our key markets, take over as CEO. We are looking forward to working with Satty in continuing to expand our global footprint and unlock access to finance for millions of consumers and businesses worldwide. On behalf of the Board of Directors, I would like to thank Paul Randall for his important contribution as CEO. He has been key to our success, and we are all grateful for his leadership and dedication.”
He will begin his new role as Creditinfo CEO on 1st January 2024 and will report directly to the Creditinfo Group Board.
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About Creditinfo
Established in 1997 and headquartered in London, UK, Creditinfo is a provider of credit information and risk management solutions worldwide. As one of the fastest-growing companies in its field, Creditinfo facilitates access to finance, through intelligent information, software and decision analytics solutions.
With more than 30 credit bureaus running today, Creditinfo has the most considerable global presence in this field of credit risk management, with a significantly greater footprint than competitors. For decades it has provided business information, risk management and credit bureau solutions to some of the largest, lenders, governments and central banks globally to increase financial inclusion and generate economic growth by allowing credit access for SMEs and individuals.
For more information, please visit www.creditinfo.com
A Master’s Thesis that highlighted the importance of timely submission of the Annual Report
In May 2023, Creditinfo Eesti announced a prize fund to recognize students who have addressed research questions in the fields of money laundering and sanctions in their research. In cooperation with the COBALT law firm and the representatives of the State Money Laundering Bureau, the evaluation committee chose Victoria Helenurme, a master’s student from the University of Tartu, as the winner for her master’s thesis on the topic “Prediction of deletion from the business register due to non-submission of the annual financial report using the example of Estonian companies”.
Victoria Helenurm is from Tallinn and graduated cum laude from the University of Tartu, majoring in Marketing & Financial Management. Today, she works as a financial controller in a company offering energy-saving indoor climate and renewable energy solutions and sees her future in business.
We had an interview with her on the journey of her thesis topic:
The topic of your thesis was “Prediction of deletion from the business register due to non-submission of the annual financial report using the example of Estonian companies” – how did you arrive at this topic?
At the beginning of the summer of 2022, discussions began with people who eventually became my thesis supervisors. My main desire was to write a paper on a current topic in society. This year, the Estonian state penalties for not submitting the annual report became harsher, and in cooperation with my supervisors, we saw that there is a public interest in this area of research and also sufficient data for research.
Why was this topic worth researching?
If, as a person, we take a loan, for example, we are understanding the obligations that come with taking a loan. For me, founding a company or being on its board is a somewhat similar responsibility – as a manager, we have assumed the responsibility, among other things, to report on the progress of our company’s business to the public.
Unfortunately, while we are mostly exemplary in servicing loans, tens of thousands of Estonian companies fail to submit their annual reports on time.
I cannot say whether this difference is due to, among other things, the fact that the penalties for not submitting the annual report have been relatively lenient. But it is certainly worthwhile for us to become more aware that such behavior is problematic.
After all the state of our countries businesses is based largely according to the data of the Business Register. If we have thousands of active companies that do not fulfill their reporting obligations, the financial forecasts, risk analyses, business decisions, etc. of the state, lenders and other parties will suffer in its quality.
The submission deadline (6 months after the end of the financial year) is a very lenient deadline. The business landscape is more and more unpredictable, so the knowledge of the previous year’s business results that arrives half a year later is already outdated. As is typical of our e-government, we would expect that at least certain types of companies could be assigned a much earlier submission obligation to help update our economic data.
What facts became clearer as part of the research?
In my research, I tried to find an answer to the question of whether the deregistration of a company can be predicted purely by looking at how the company’s management has cared about the obligation to submit an annual report in its previous business life.
The Estonian financial world is very much a believer in financial ratios when assessing the business health of a company. I tried to see if it is possible to convincingly assess the business risk of deleting the company by completely setting aside the financial statement.
The studied dataset also proved this – a significantly more accurate forecasting method than financial ratios (prediction accuracy approx. 63%) was the observation of the past behavior of board members (prediction accuracy almost 82%). It can be said that if there is a member of the board of the company who has either delayed or failed to submit the financial year report in previous companies, it is a very clear business risk, which indicates the risk of deletion of the company in question.
How could this research topic be continued?
Although I myself rather do not plan to continue my studies in a doctoral program, I definitely see possibilities for expanding this research topic. The obtained research results could certainly be compared with our neighboring countries – to assess whether in Latvia, Lithuania, Finland, etc. there are similar relationships between corporate delisting and board members’ past due diligence.
Another immediate opportunity for investigation is provided by the amendments to the law that entered into force this year, which toughened the penalties for failure to submit an annual report, among other things. Repeating this research in 5+ years would give an idea of whether business behavior has improved in terms of reporting obligations.
We were very pleased with Victoria’s research, as her research clearly connected with the general theme of our competition – the data of the Business Register and national registers in general are the main factors when applying the KYC principle. Financial data from the company that is not submitted on time or is completely missing, is a clear danger signal when investigating the background of your business partner.
When it comes to risk management – both when creating a customer relationship and during the existence of a customer relationship, up-to-date data from the business register is very necessary. Does the company actually operate; whether the data there (especially the field of activity and financial data) are correct (especially when it comes to the application of enhanced due diligence measures). The given data helps to understand the customer’s activity profile.
If the client does not submit annual reports, it is clear that it may be a riskier client, and this should be taken into account when establishing or monitoring a business relationship in order to mitigate the risk.
Urmas Pai – KYC&Fraud Global Product Manager, Head of the evaluation committee
Creditinfo Estonia
Retrospective of the semi-annual statistics of the Register of Payment Failures in Estonia
The Payment Default Register managed by Creditinfo Eesti reflects the debts of private individuals and companies and thus helps to make smart credit decisions. It is the first and oldest register containing debt data, which was established in 2001 by Estonian banks.
There are tens of thousands of people with payment defaults in Estonia
As of the end of the first half of 2023, there were 57,694 individuals with valid payment defaults. Compared to the period a year ago, the number decreased a bit.
When the debt is liquidated, the current payment default is marked as closed – at the end of the first half of 2023, there were 109,766 private individuals with closed payment defaults.
A closed default shows that the debt has been paid, but at the same time it gives the creditor a warning that the person has had problems paying bills in the past and it allows for a more accurate assessment of their creditworthiness. In the case of private individuals, closed payment defaults are published for up to 5 years after the payment default has ended.
The number of companies with payment defaults is increasing
As of the end of the first half of 2023, there were 21,121 legal entities or companies-institutions with valid payment defaults. Thus, there has been an increase of 3.3% compared to last year.
There were 32,836 legal entities with closed payment defaults. In the case of companies, the information provided will be published for another 7 years after the closing of the payment default.
There are more than 150 thousand active payment defaults in the Register
There were 128,405 active payment defaults in the Payment Default Register of private individuals at the end of the first half of the year. The closed payment defaults for private individuals with payment defaults reached to 350,120.
There were 44,472 active defaults of legal entities at the end of the first half of the year. There were 65,816 closed defaults of legal entities.
The number of active payment defaults has increased
In total, there were 172,877 active payment defaults published in the Payment Default Register. If one also adds information of closed payment defaults, the total number of payment defaults in the Payment Default Register is 588,832, which has increased by approx. 6.6% compared to the end of 2022.
By Creditinfo Estonia.
Visit: www.creditinfo/ee/en
Digital Transformation in Credit Risk Management: What You Need to Know
The rise of digital technologies is transforming the financial industry, and credit risk management is no exception. With the increasing use of digital channels for financial transactions, there is a growing need for credit risk management strategies that can effectively manage risks in these channels. In this blog post, we will explore the concept of digital transformation in credit risk management and discuss some of the key trends and best practices in this area.
What is Digital Transformation in Credit Risk Management?
Digital transformation in credit risk management involves the use of digital technologies to manage credit risk more effectively. This includes the use of advanced analytics and machine learning to analyze large amounts of data in real-time, as well as the development of digital platforms that enable faster and more efficient credit risk management processes.
One of the key benefits of digital transformation in credit risk management is the ability to analyze data more effectively. By using advanced analytics and machine learning algorithms, financial institutions can analyze large amounts of data in real-time, identifying trends and patterns that may be indicative of credit risk. This can help financial institutions make more informed lending decisions, reducing the risk of default on loans and other credit products.
Another benefit of digital transformation in credit risk management is the development of digital platforms that enable faster and more efficient credit risk management processes. For example, some financial institutions are developing digital platforms that enable borrowers to apply for loans online, with the platform automatically analyzing the borrower’s credit risk and providing a decision in real-time. This can significantly reduce the time and cost associated with traditional lending processes, making it easier for borrowers to access credit.
Key Trends and Best Practices in Digital Transformation in Credit Risk Management
There are several key trends and best practices in digital transformation in credit risk management that financial institutions should be aware of:
Use of advanced analytics and machine learning: Financial institutions should leverage advanced analytics and machine learning algorithms to analyze large amounts of data in real-time, identifying trends and patterns that may be indicative of credit risk.
Development of digital platforms: Financial institutions should develop digital platforms that enable faster and more efficient credit risk management processes. These platforms should be user-friendly and easy to access, making it easier for borrowers to apply for loans and access credit.
Integration with other digital platforms: Financial institutions should integrate their credit risk management platforms with other digital platforms, such as mobile banking apps and online marketplaces, to provide a seamless and integrated experience for borrowers.
Investment in cybersecurity: Financial institutions should invest in cybersecurity measures to protect against cyber threats and ensure the security of customer data.
Conclusion
Digital transformation is transforming the financial industry, and credit risk management is no exception. By leveraging digital technologies such as advanced analytics, machine learning, and digital platforms, financial institutions can manage credit risk more effectively, reducing the risk of default on loans and other credit products. As the financial landscape continues to evolve, it is likely that new digital technologies and best practices will emerge, requiring credit risk management professionals to stay up-to-date with the latest trends and developments.
Gary Brown,
Head of Commercial Development, Creditinfo Group.
Credit Bureaus: Cross Border Data Sharing
In today’s globalized world, cross-border data sharing is becoming increasingly important for credit bureaus. By accessing data from multiple countries, credit bureaus can improve the accuracy and completeness of credit reports, assess the creditworthiness of non-citizens, and expand market opportunities for lenders. Let’s explore these benefits in more detail.
Improved accuracy and completeness of credit reports
Accessing data from multiple countries allows credit bureaus to gain a more comprehensive view of an individual’s credit history. For example, if someone has lived or worked in multiple countries, their credit history may be spread across different credit bureaus. Cross-border data sharing allows credit bureaus to combine this information into a single credit report, providing lenders with a more complete picture of the borrower’s creditworthiness. This can lead to more informed lending decisions and better risk management for lenders.
Assessment of creditworthiness for non-citizens
For non-citizens or individuals with limited credit histories, cross-border data sharing can be especially important. Without access to credit data from other countries, it can be difficult to assess their creditworthiness. Cross-border data sharing allows credit bureaus to access credit data from other countries, providing a more complete picture of the borrower’s credit history. This can help lenders make more informed lending decisions, expanding opportunities for creditworthy borrowers.
Increased market opportunities for lenders
By accessing data from multiple countries, credit bureaus can also help lenders expand into new markets. For example, a lender in one country may be interested in providing loans to individuals or businesses in another country. Without access to credit data from that country, it can be difficult to assess the creditworthiness of potential borrowers. Cross-border data sharing can provide lenders with the information they need to make informed lending decisions, opening up new opportunities and expanding their market reach.
Compliance with international regulations
In some cases, cross-border data sharing may be required by international regulations or agreements, such as the GDPR in the European Union. By complying with these regulations, credit bureaus can avoid legal and reputational risks. Additionally, complying with international regulations can help build trust with consumers and businesses, as it shows a commitment to ethical and responsible data practices.
In conclusion, cross-border data sharing is becoming increasingly important for credit bureaus. By providing access to a wider range of data sources, credit bureaus can improve the accuracy and completeness of credit reports, assess the creditworthiness of non-citizens, expand market opportunities for lenders, and comply with international regulations. As global data sharing becomes more common, it is likely that cross-border data sharing will become a standard practice for credit bureaus around the world.
Creditinfo completes strategic acquisition of Ugandan and Namibian credit bureaus
Latest acquisitions cement credit expert’s position as leading solutions provider in Africa.
Kampala and Windhoek/London, 25th May 2023 – Creditinfo Group, the leading global service provider for credit information and risk management solutions, today announces the acquisition of two credit bureaus in Uganda and Namibia. As part of the acquisition, Creditinfo has taken on all employees working in the credit bureaus, which were previously owned by Experian. Creditinfo will combine their invaluable local expertise with its own extensive experience in delivering private credit solutions to African and European nations to help millions access finance.
Creditinfo has a unique mix of market knowledge that it will draw on to complement the work of the strong management teams already in place in Namibia and Uganda. Its experience working with more traditional lending markets in Europe combined with its knowledge of the different trends in lending markets in sub-Saharan Africa – such as the drive-in mobile wallet use in Kenya – will help both Namibia’s and Uganda’s credit bureaus go from strength to strength.
Coupling this experience with its advanced software and analytics products, Creditinfo will deliver its world-leading credit bureau solutions to help the two bureaus facilitate access to finance for both individuals, SMEs, and corporates in the regions, whatever their social and economic needs.
Paul Randall, CEO at Creditinfo said: “We are committed to sustainably growing our business and identifying ideal opportunities to add strong and profitable credit bureaus to the Creditinfo Group, while helping more local citizens and businesses access finance. Uganda and Namibia are ideal partners for us in this respect and all our new employees are a credit to the Creditinfo name. As the leading credit bureau provider in Africa, we eagerly look forward to working together to provide the best service possible in each country”.
Mark Charles Mwanje, Country Manager of Uganda said: “We are delighted to join the Creditinfo Group. We believe their years of expertise and knowledge will be a great asset to our existing team of dedicated and talented employees. We look forward to joining forces to help the local people and our growing economy.”
Karin Jansen van Vuuren, Country Manager of Namibia said: “Working with Creditinfo provides us the chance to tap into new opportunities for further growth. The company’s in-depth experience will be instrumental in helping banks and other lenders to extend credit, while ensuring we’re still a private credit bureau run by local people for local people, with all their best interests at heart.”
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About Creditinfo
Established in 1997 and headquartered in London, UK, Creditinfo is a provider of credit information and risk management solutions worldwide. As one of the fastest-growing companies in its field, Creditinfo facilitates access to finance, through intelligent information, software, and decision analytics solutions.
With more than 30 credit bureaus running today, Creditinfo has the most considerable global presence in this field of credit risk management. For decades it has provided business information, risk management and credit bureau solutions to some of the largest, lenders, governments, and central banks globally to increase financial inclusion and generate economic growth by allowing credit access for SMEs and individuals.
For more information, please visit www.creditinfo.com
AS Creditinfo Eesti appoints Elari Tammenurm as new CEO
Estonia, 9th May 2023 – Creditinfo Group, a global service provider for credit information and risk management solutions, today announces the appointment of Elari Tammenurm as the new Chief Executive Officer (CEO) of its Estonian branch. Elari will support and maintain Creditinfo’s legacy as a leading partner for business and risk management decision making and drive the sustainable growth of AS Creditinfo Eesti.
Elari joined Creditinfo in 2019 as Director IT in the Baltics, progressing to Management Board member and Head of IT Baltics. Now as CEO, Elari will be responsible for the largest and oldest credit bureau in Estonia.
In his role, Elari will work with various internal and external stakeholders to ensure the company’s approach to strategy and growth remains first class in terms of meeting customers’ expectations and needs.
Elari Tammenurm, CEO of AS Creditinfo Eesti said: “Today everyone has access to vast amounts of data; however, the abundance of data can make it more difficult to make well-informed business decisions in an ever-changing business environment. In my new role, it’s my goal to further ensure the facilitation of this process through delivering world class solutions to the Estonian market including various new Decision Analytics and Scoring related products. This will allow us to continue driving valuable and positive outcomes for our clients and enable greater access to finance and economic growth in Estonia.”
Paul Randall, CEO of Creditinfo Group, said: “With roots in financial services and IT strategy, Elari knows how to solve our clients’ unique business challenges. His knowledge of the company, our people, our industry, and our clients is a huge advantage for AS Creditinfo Eesti’s innovation and growth as we continue to expand in the Estonian market. We’re proud to have Elari leading the way.”
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About Creditinfo
Established in 1997 and headquartered in London, UK, Creditinfo is a provider of credit information and risk management solutions worldwide. As one of the fastest-growing companies in its field, Creditinfo facilitates access to finance, through intelligent information, software and decision analytics solutions.
With more than 30 credit bureaus running today, Creditinfo has the most considerable global presence in this field of credit risk management, with a significantly greater footprint than competitors. For decades it has provided business information, risk management and credit bureau solutions to some of the largest, lenders, governments and central banks globally to increase financial inclusion and generate economic growth by allowing credit access for SMEs and individuals.
For more information, please visit www.creditinfo.com / www.creditinfo.ee
The Role of Artificial Intelligence and Machine Learning in Credit Scoring
Executive Summary
The use of artificial intelligence (AI) and machine learning (ML) in credit scoring is revolutionizing the lending industry. By leveraging vast amounts of data and advanced algorithms, lenders are able to more accurately predict credit risk, improve operational efficiency, and expand access to credit for underbanked individuals and small businesses. This white paper explores the benefits and challenges of AI and ML credit scoring, and provides guidance for lenders on how to successfully integrate these technologies into their lending processes.
Introduction
Traditional credit scoring models rely on a limited set of data points, such as payment history, outstanding debt, and length of credit history, to assess creditworthiness. These models are effective for many borrowers, but they can be limiting for individuals with thin credit files or non-traditional sources of income. AI and ML credit scoring models, on the other hand, can analyze a vast array of data points, including non-traditional data sources, to develop a more accurate and comprehensive picture of a borrower’s creditworthiness.
Benefits of AI and ML Credit Scoring:
1. Improved accuracy: AI and ML algorithms can analyze a wide range of data points, including non-traditional data sources such as social media activity and utility bill payments, to develop a more accurate picture of a borrower’s creditworthiness. This can result in more accurate credit scores and better loan decisions.
2. Expanded access to credit: Traditional credit scoring models can be limiting for individuals with thin credit files or non-traditional sources of income. By analyzing a broader range of data points, AI and ML credit scoring models can expand access to credit for underbanked individuals and small businesses.
3. Increased efficiency: AI and ML credit scoring models can automate many aspects of the lending process, reducing the need for manual underwriting and improving operational efficiency. This can result in faster loan decisions and a better borrower experience.
Challenges of AI and ML Credit Scoring:
1. Data privacy and security: As AI and ML credit scoring models rely on vast amounts of data, data privacy and security are critical concerns. Lenders must ensure that they are collecting and using data in compliance with applicable laws and regulations, and that they have robust cybersecurity measures in place to protect sensitive borrower data.
2. Bias and discrimination: AI and ML algorithms are only as good as the data they are trained on, and if that data is biased, the algorithms can perpetuate that bias. Lenders must be mindful of potential biases in their data and take steps to mitigate any potential discrimination in their lending decisions.
3. Explainability: AI and ML algorithms can be complex and difficult to interpret, which can make it challenging for lenders to explain their lending decisions to borrowers. Lenders must be able to provide clear explanations of their credit scoring models and lending decisions to borrowers.
Conclusion
AI and ML credit scoring has the potential to revolutionize the lending industry, providing more accurate credit scores, expanding access to credit, and improving operational efficiency. However, lenders must be mindful of the potential challenges, including data privacy and security, bias and discrimination, and explainability, and take steps to mitigate these risks. By investing in AI and ML technologies and developing robust risk management practices, lenders can successfully integrate these technologies into their lending processes and provide better loan decisions and a better borrower experience.
Samuel White
Director of Direct Marekts, Creditinfo Group.
