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Advanced Analytics
- Creating AI use cases to identify opportunities for improved decision-making
- Conducting AI readiness assessment to determine the organization’s preparedness for AI adoption
- Setting up an AI CoE operating model to streamline AI operations and management
- Developing an AI architecture roadmap to guide AI deployment and management
- Creating business value through AI by identifying revenue generation and cost-saving opportunities
- Defining ML use cases to identify opportunities for improved decision-making
- Conducting segmentation and targeting to better customer engagement and revenue generation
- Performing behavior analysis and predictions to optimize business operations and decision-making
- Churn analysis to identify the root cause of customer churn and develop effective retention strategies
- Diagnostic predictions for product development and quality assurance
- Student analytics to improve education outcomes and student engagement
- Identifying advanced AI use cases to optimize decision-making
- OCR solutions to streamline data processing and management
- Object detection and classification to improve operations
- Text and video interpolation to enhance data processing and analysis
- Chatbots for better customer engagement and support
- Auto-healing capabilities to improve system reliability and uptime
- AI-ops to streamline AI deployment and management
- Conducting PoC to production to ensure successful AI deployment and adoption
- Managing models to ensure efficient and effective AI operations and decision-making
- Model adoption to ensure successful AI deployment
- Monitoring models for effectiveness and efficiency