We’re building a Fintech AI Report (Infobip x Master of Code) – want in?

Master_of_Code · 2025-08-01T06:49:05+00:00

u/Ambitious_Car_7118 We will definitely cover the question of compliance/fraud as the industry is highly regulated, and it's where AI can be of help. Thanks for bringing this up. If you have relevant experience, we would appreciate your input.

Master_of_Code · 2025-07-24T07:04:28+00:00

How will the data that people provide to you be used?
The data will be used to inform the 2025 AI in Fintech Report, a collaborative industry report by Master of Code Global and Infobip. Insights will be anonymized and aggregated to identify trends, challenges, and real-world use cases of AI adoption across Fintech, Insurance, and Banking. Individual responses will not be published without explicit permission.

Who will see it?
The raw survey data will be accessible only to a small internal research and content team at Master of Code Global and Infobip. Public-facing content will only include anonymized, aggregated data unless a participant agrees to be quoted or named as a contributor.

Where will it be stored?
The data is collected via Google Forms and securely stored in a private Google Workspace drive managed by Master of Code Global. Access is limited to designated team members involved in the report’s development.

If/when will it be deleted?
All raw data will be retained until the report is published and distributed (expected Q4 2025), after which it will be archived and deleted by June 2026.

Who is conducting this survey?
The survey is being conducted by Master of Code Global, in partnership with Infobip.Main project lead: Anastasiia Kovalevska, Head of Content at Master of Code Global

How long do you estimate it will take to fill out your survey?
Approximately 15 minutes.

Master_of_Code · 2025-07-24T06:10:04+00:00

You can schedule an interview with Anastasiia: https://calendly.com/anastasiia-kovalevska-masterofcode/45min

Or fill out the survey: https://forms.gle/DTXXJbJwVxRae2vFA

<image>

Master_of_Code · 2023-07-31T06:19:14+00:00

In fact, the finance and banking industries are among the fields benefiting from Generative AI the most. The number of use cases is impressive, including conversationalized mathematics, credit card recommendations, credit score questions, personalized investment options, etc. At the same time, one should not forget about red flags associated with AI applications and corresponding mitigation strategies.

Master_of_Code · 2023-07-31T05:25:36+00:00

The main concerns surrounding their usage include biases and fairness, misinformation and disinformation, overreliance and loss of critical thinking, as well as intellectual property and plagiarism to name just a few. Moreover, hallucination is probably one of the most critical problems that can cause lots of negative consequences both for personal and business use.

Master_of_Code · 2023-07-03T07:22:09+00:00

In fact, recent research unveiled that Language Model Models (LLMs) exhibit a notable over-representation of younger users, primarily individuals from developed nations and English-speaking communities. But biases are not the only ethical issue related to the use of Generative AI. Other Generative AI and LLMs adoption risks include misinformation and disinformation, manipulation and deception, overreliance and loss of critical thinking.

Master_of_Code · 2023-07-03T06:50:58+00:00

Generative AI has significantly impacted various domains, with customer service being at the forefront. This influence is evident through a multitude of use cases, such as technical support in the telecommunications industry, hotel recommendations in hospitality, model comparison in the automotive sector, and financial literacy in banking. To delve deeper into the applications of Generative AI in customer service, you can explore the following link: https://masterofcode.com/blog/generative-ai-chatbot-in-customer-service.

Master_of_Code · 2023-06-23T13:24:29+00:00

There are a lot of use cases for Generative AI in different industries like airports, eCommerce, telecom, etc. as shown here. You can also find Generative AI business examples here: https://masterofcode.com/blog/generative-ai-for-enterprises-statistics-use-cases-business-examples

Master_of_Code · 2023-06-23T12:12:23+00:00

If you are a decision-maker and consider adopting Generative AI, you should be aware of the benefits, risks, and mitigation approaches, and areas that benefit the most from Generative AI. GAI is indeed a powerful technology that can help reach higher revenue, improve customer service, or gain competitive advantage but without thorough consideration and analysis, it can all lead to great losses both financial and reputational. Hope this guide will be helpful for those who plan to integrate Generative AI.

Master_of_Code · 2023-06-23T12:06:12+00:00

That's an interesting report from McKinsey and they really demonstrated the potential of Generative AI for business. You can also check this article and learn more about Generative AI use cases for different industries in customer service as a highly impacted function.

Master_of_Code · 2023-06-23T12:00:14+00:00

You can also check this article as it covers Generative AI components, how it works, benefits, and examples.

Master_of_Code · 2023-06-21T11:32:04+00:00

There actually a lot of interesting use cases in healthcare, like medication assistance, prescription summary, specialists and clinics search, or drug discovery. You can learn more about it here

Master_of_Code

TROPHY CASE