Kailas Bineesh

1. Ringsense Application

Overview:Ringsense is a sophisticated application designed to monitor and analyze communication details within the RingCentral portal. Leveraging advanced AI technology, Ringsense captures and generates valuable insights from recorded calls.

Key Features:

• Call Recording and Playback: Provides access to comprehensive libraries of recorded team calls, enabling users to review and analyze individual and group performance.
• Performance Analytics: Offers detailed performance metrics for individuals and teams, facilitating data-driven evaluations.
• Data Visualization: Includes charts and graphs to monitor communication trends and data patterns effectively.
• Detailed Call Information: Presents extensive call details, including duration, participants, and key highlights, for thorough analysis.
• AI-Generated Insights: Utilizes artificial intelligence to generate actionable insights, helping users improve communication strategies and overall performance.

2. Retail Data Cloud - Centralized Data Platform Implementation

Overview: The Retail Data Cloud project aims to solve the problem of scattered data in businesses, which makes it hard to understand their operations fully. Our solution involves creating a centralized data platform using the strong and adaptable Medallion architecture. This platform brings together data from different sources, making it easier to analyze. By having all the data in one place, businesses can make better decisions and find important insights to improve their operations. Initially focusing on the retail sector, our solution is customized to fit the unique needs of this industry. Our approach ensures that data is of high quality and traceable at every step, from collection to analysis. We've also designed a specialized data model specifically for retail, which makes integrating and analyzing data even easier.