MACHINE LEARNING
IN BANKING
Overview
Artificial intelligence (AI) has become a must-have in the finance sector due to its enhanced ability to reduce fraud, improve marketing and decision-making, enhance underwriting, and perfect customer servicing. Modern technologies have indeed impacted the way we conduct business these days. Several big monetary institutions are performing monotonous tasks with AI and machine learning applications and have progressed tremendously. Our client is one of the most successful MNC investing banking and financial services companies in the US, with over 100k employees, serving N number of customers. Alibaba Systems created automated solutions using AI and ML in their document review process to reduce the billable hours and save their customers lots of money.
Client Requirement
Our US-based client owns a company operating in 18 states. He has immense experience in the field of telecommunications and, therefore, decided to develop a new mobile app solution that enables their users to supervise the location of their pets using a wearable tracker integrated into the app. With this unique solution, he approached Alibaba to build a robust, scalable, and secure mobile app to deliver pet owners real-time information about their pets.
Solutions
- Our client wanted a highly scalable solution; hence our efficient team delivered it using the Cloud and emphasized Apache Spark, MongoDB, and Apache Kafka.
- They wanted a solution to facilitate media (photo, video, or audio) transfer to their users so that they could see their pets to see where they were at a specific time.
- Using Apache Kafka, our team processed data in real-time and checked for data quality. Moreover, it also ensures push notification and secure data transfer.
- Moreover, we recommended using MongoDB tech as it permits saving time-series events in one document.
- Our team used RESTful services to separate UI from the data storage to guarantee scalability, reliability, and autonomy from the programming language or platform.
Challenges
- Our client wanted a big data system that would keep the users constantly updated about their pet's whereabouts, get real-time alerts, and avail the reports of their pet's presence.
- Using the MQTT protocol, we could transmit live data about the pet's location and details, such as low battery, safe territory, etc. The MQTT protocol was used as it guarantees a friendly interface and saves smartphone battery life.
- We had to build an easily scalable solution and process growing numbers of data as the client expected the user number to rise in the upcoming times.
End-Result
- Ultimately, our client got all he needed, which was a highly scalable, robust, and secure solution that allows processing more than 30k events/second from one million devices. Henceforth, users can locate their pets in real-time and receive videos, photos, and audio.
- Users could also access automatically set weekly, hourly, and monthly reports, or if required, manually adjust the reporting period.
Technologies
Get In Touch With Us.
One World Trade Center, 285 Fulton Street suite 8500, New York, NY 10007, United States1
alibaba.softwaresolution
info@alibaba.com
