The finance sector is undergoing a period of change. A few companies are just starting digital transformation as fully digital startups gain a competitive advantage. Customers see the convenience in online services, leaving traditional companies scrambling to modernize their offerings.

Also, financial services organizations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. Gaining a consistent, accurate, real-time view of their data is important to improve everything from understanding market risk, regulatory compliance, and a comprehensive view of the customer.

Technology has transformed how the financial services industry operates; however, technology risk holds strategic, financial, operational, regulatory, and reputational implications.

Major Challenges

The FinServ industry faces significant challenges and is looking for innovative solutions. The following are four of the most significant industry problems. 

Major Trends in Digital Transformation

Machine Data Revolution
Machine Data Revolution
With the rise of new data-driven technologies such as cloud, AI and ML, organizations are working on a future in which data is easily available across all divisions.
Zero Trust
Zero Trust
To beef up their security measures. “Zero Trust” assumes that no user, workload, device, or network can be inherently trusted.
MLOps
MLOps
Facilitates near-real time processing of data to efficiently discover patterns, generate insights, make predictions, and move towards automated decision-making.
EAI
EAI
Modernizing the core is a risk, but financial companies need to connect efficiently to the core across all channels including internet banking, mobile banking etc. and extract more value from the legacy core assets.

How Can i-Source Help?

Having operated within the financial services domain, i-Source understands the needs of the sector. We offer tailored solutions for digital competitiveness for the financial services industry.

AI & ML
AI & ML

For automation of processes for efficient operations.

Data Analytics
Data Analytics

To help our clients extract the right information from their business data and convert it into actionable insights.

Cloud computing
Cloud computing

For Access to data and enhancing diagnostic capabilities, treatment planning and overall patient care.

Cybersecurity
Cybersecurity

To enhance data privacy, ensure data leakage prevention and protect enterprises against cyber-attacks.