Ask a Question
Ask Question Login
Corporate Training
  1. Community
  2. Artificial intelligence
  3. Question
Artificial intelligence

What is the role of big data in AI development?

Asked by John Trivedi Dec 23, 2024 1.7K views 2 answers
Share

About this question

How does big data contribute to the advancement of AI? I'm curious about its importance in training and improving AI systems.

Your answer

2 Answers

Shane Corn Latest answer

Answered on Jul 30, 2025

Big data plays a pivotal role in the development of Artificial Intelligence (AI), especially in the field of mobile banking app development. As the volume of financial data continues to grow, AI systems require vast amounts of data to make accurate predictions, automate processes, and enhance user experiences. This is where big data comes into play, providing the foundation that AI systems need to function effectively.


In mobile banking, big data helps AI systems process and analyze a variety of data types—from transaction histories and customer behavior to market trends and fraud patterns. By leveraging these large datasets, AI can offer personalized services such as tailored financial advice, predictive analytics, and real-time fraud detection. For example, AI can use big data to assess spending patterns and recommend budgeting tools or investment opportunities that suit individual users.


Moreover, AI algorithms rely on big data to continuously learn and improve over time. Machine learning models, a core component of AI, need massive datasets to "train" and adapt. The more data AI systems can process, the better they become at making predictions and decisions. In mobile banking, this means smarter and more efficient fraud detection, faster loan approvals, and personalized banking experiences that enhance user engagement.


At Dev Technosys, we specialize in mobile banking app development that leverages the power of AI and big data to transform financial services. Our apps are designed to integrate seamlessly with big data tools, helping banks and financial institutions unlock valuable insights. With advanced machine learning algorithms and big data analytics, we ensure your mobile banking app not only meets today’s expectations but anticipates tomorrow’s needs, offering customers a highly personalized and secure banking experience.


In conclusion, big data is the backbone of AI development in mobile banking, driving innovation and intelligence in services, and helping institutions stay ahead in an increasingly competitive landscape.

Was this helpful?

More Artificial intelligence discussions

Learn & Explore

Free tutorials and interview questions from industry experts — learn the skill, then get ready to prove it.

Latest Artificial Intelligence Blogs

Guides, tips and career advice on Artificial Intelligence from JanBask experts.