Industry
Communications, Media and Information Services
Connect. Curate. Comprehend: Unlocking Value Beyond Boundaries
Highlights
- The future of information services is being shaped by several key trends, driven by rapid advancements in technology.
- AI-powered models are enhancing credit scoring, fraud detection, and personalized financial products. AI-driven conversational interfaces are enabling users to ask natural-language questions and receive real-time, contextual insights.
- Companies are investing in modernizing legacy systems for faster data integration and leveraging data clean rooms for privacy-preserving data collaboration.
On this page
On this pageinpage
Overview
The information services industry is set to make significant advancements in 2025, driven by artificial intelligence.
Disruptive technologies are transforming decision-making, enhancing personalization, and streamlining operations. Such innovations will redefine how organizations access, analyze, and utilize information.
Several key trends are shaping the future of information services; we look at the most notable ones, which are creating headwinds in the industry.
Data monetization through advanced analytics
Data monetization and AI are revolutionizing the credit ratings industry.
Data monetization through advanced analytics and AI in the credit ratings industry allows credit bureaus to transform vast amounts of consumer data into actionable insights. AI-powered models enhance credit scoring accuracy, detect fraud, predict loan defaults, and offer personalized financial products, creating new revenue streams while improving decision-making and customer experiences.
For example, credit card companies can analyze ever-increasing amounts and types of customer data to personalize their rewards program for individual customers. By analyzing vast customer data, financial institutions can create more accurate risk models and charge higher premiums or adjust interest rates accordingly.
Banks are using advanced analytical models to detect fraud in real-time, preventing billions of dollars’ worth of potential fraud. Credit information segment customers are expected to invest more in exploring advanced analytics to monetize their data.
Information retrieval to become intuitive and conversational
There is a fundamental shift in how users interact with information systems.
Retrieving business insights traditionally requires manual searching through databases. However, the future lies in AI-powered conversational interfaces that allow users to ask natural-language questions and receive contextual, data-driven responses.
A distinct shift toward a conversational approach to locating information is being observed. For example, today when you need information on say a company (say your supplier), you would access a system, search for the business and access the details about this business. In the future, you will be able to ask the system questions on this company. Like you can ask, ‘What are the risks of choosing this company as your supplier?’ Or ‘Is this company having a good track record of supplying on material on time?’ Or ‘Who are the board of directors of this business and which other businesses do they own?’.
This evolution is well underway, with many information services companies reimagining their applications to support AI, ML, and GenAI.
A modernized core will fuel rapid innovation
Another major focus in 2025 is the modernization of core systems that power information products and services.
When an information service company is on the mainframe, it can take long (sometime years) to onboard a new source of data (say social data). A modernized core, however, can reduce this process to mere months, enabling businesses to stay competitive.
Another example would be that marketing campaigns that used to take months to set up legacy systems, can now be executed in a matter of days on a modernized core. New products can be conceptualized, designed, built, and launched in much shorter time scales (months, instead of years).
Given the strong business benefits that modernization offers, this has been a focus area for the industry for the last several years and the trend is expected to continue in the future as well.
Broadening the data ecosystem
The industry is also expected to invest heavily in data exchange frameworks such as data clean rooms.
Data clean rooms allow companies to securely connect discrete data sets while maintaining privacy.
For example, a company has data on consumers. Another company has data on automotive ownership. These two companies can benefit from each other’s data by combining the two datasets without data ever leaving the respective parent company. So, now the consumer data company can know which of their customers own a car and for how long. This ability to ‘connect’ data unlocks the ability to create better or varied products. Such data ecosystem interconnections will result in far more collaborative, mutually beneficial linkages between information services companies.
Looking ahead
The information services industry is on the brink of a transformative era.
AI-driven analytics, conversational interfaces, system modernization, and privacy-focused data ecosystems will shape the industry's future. Companies that embrace these innovations will gain a competitive edge, driving smarter decision-making, enhanced customer experiences, and new revenue streams.
