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The world of artificial intelligence is witnessing an unprecedented revolution with Generative AI (Gen AI) leading the charge. Gen AI is not just about innovation; it’s about reshaping how business operates, empowering decision-makers, and enhancing customer experiences.
Our organization is at the forefront of this transformation. Our team has successfully developed solutions that showcase how Gen AI can solve real-world business challenges. These solutions highlight the versatility and impact of incorporating AI across various domains like retail, finance, healthcare etc.
Visualizer
Our first solution focusses on simplifying the ability to draw insights from data. In today’s data-driven world, businesses are inundated with raw data and often lack the tools to extract actionable insights. The Visualizer bridges this gap by enabling users to convert complex tabular data into meaningful visualizations.
Unlocking the Power of Visualization with Generative AI
The Visualizer allows users to interact with their data using simple English sentences. There’s no need for technical expertise or manual chart creation—just intuitive, AI-powered insights at your fingertips.
Key Features and Benefits:
– AI-Driven Insights: Dynamically interprets data context to recommend the most relevant visualizations.
– User-Friendly Prompts: Simplifies the data visualization process, allowing users to interact using natural language commands.
– Real-Time Updates: Adapts visualizations in real-time, ensuring businesses always have the most current insights.
– Deep Data Exploration: Allows users to drill down into specific segments of data for a granular view of metrics.
– Effortless Sharing: Facilitates easy export of visuals, making them ready for presentations and team reports.
Use Case
User navigates to a web page that contains the tabular data.
User selects “Data Visualization” button located above the table. Upon clicking, they are presented with various options for generating charts.
User selects one of the chart options.
The generated charts are interactive in nature and the users can enter custom prompts in a message box at the bottom of an overlay.
The generated charts can be further drilled down by clicking on chart areas to gain detailed insights.
The user has the ability to download as well as copy the charts in PNG format.
Tech Stack
The platform uses React and TypeScript for frontend and employs Node.js for backend. It utilizes, GPT-4o-mini as the large language model (LLM), enabling intelligent data interpretation and visualization generation.
Data Flow
- The frontend captures tabular data, serializing it for structured processing.
- This data is sent to the backend for preprocessing before being further analyzed by the LLM.
- The LLM extracts insights and generates tailored visualization configurations.
Chart Generation
- Dynamic Configurations: The LLM produces Chart.js configurations based on user inputs.
- Backend Validation: These configurations are validated before rendering, ensuring accuracy and consistency.
Custom Prompt Handling
The system supports natural language prompts, allowing users to define visualization requirements in simple English sentences.
Performance Tracking & Optimization
The platform actively monitors API calls, tracking cost and token usage to optimize efficiency.
User-Friendly Visualization
Designed for non-technical users, the platform translates complex datasets into meaningful visuals without requiring coding or a specific software expertise.
Analyzer
Simplifying Customer Interactions with Gen AI
Customer interactions are the backbone of many businesses like call centres, insurance, finance, etc. These interactions are essential to the entire business, and it is critical to ensure that these processes are efficient, effective, streamlined and insightful. The Document Analyzer leverages Gen AI to streamline these interactions, turning conversations into actionable insights and tailored recommendations.
By combining Assembly AI, Fast Whisper, and GPT-4.0-mini, the Document Analyzer automates the transcription and summarization of customer conversations. It employs Retrieval Augmented Generation (RAG) to retrieve the most relevant documents or products, enhancing decision-making processes in real-time.
Key Features and Benefits:
- CRM Integration: Embeds directly into CRM systems, allowing agents to access call summaries and tailored suggestions within their workflows.
- Automated Transcription and Summarization: Removes the manual burden of taking notes, enabling agents to focus on delivering value to customers.
- Personalized Product Suggestions: Recommends products or services based on an accurate understanding of customer needs.
- Prioritized Rankings: Ensures agents are equipped with a ranked list of the best options, improving customer satisfaction and decision-making.
- Real-Time Insights: Provides immediate recommendations, enabling quicker and more effective responses during customer calls.
Use Case:
Call Initiation
An insurance agent logs into the application and calls the potential customer:
AI Driven Transcription and Summarization
The call between the insurance agent and the customer is then summarized using Gen AI:
Policy Matching, Ranking and Customer Proposal
Based on the call summary, the top three health insurance policies along with their features is recommended to the agent. The agent can then recommend these policies to the customer.
The Road Ahead
The two Gen AI-based solutions discussed above demonstrate the transformative potential of Generative AI across various industry segments. The rapid adoption of Gen AI is evident in the swift evolution of software development practices, reshaping the industry at an unprecedented pace.
As we continue to explore the endless possibilities of Generative AI, our mission remains clear: to develop innovative real-world solutions that enhance efficiency, streamline operations, and empower businesses to achieve greater success.
