Cognito AI

1. Ingest customer feedback data from various sources (e.g., CSV files, APIs, databases).

2. Use the Sentiment Analysis feature to automatically determine the sentiment of each feedback entry.

3. Apply Topic Modeling to identify common themes and topics within the feedback.

4. Visualize the results in a dashboard to identify trends and areas for improvement.

1. Ingest transactional data from various sources (e.g., databases, APIs).

2. Use the Named Entity Recognition feature to extract key entities such as account numbers, transaction amounts, and locations.

3. Apply customizable fraud detection models to identify suspicious patterns and anomalies.

4. Generate alerts for potentially fraudulent transactions and notify relevant stakeholders.

1. Upload medical records in various formats (e.g., PDFs, text files).

2. Use the Named Entity Recognition feature to extract key medical entities such as diagnoses, medications, and procedures.

3. Apply the Data Enrichment feature to supplement the extracted information with data from medical knowledge graphs.

4. Generate reports and visualizations to summarize patient information and identify trends.

1. Upload legal documents in various formats (e.g., PDFs, Word documents).

2. Use the customizable models feature to train a model for identifying relevant clauses and information specific to the legal domain.

3. Apply the trained model to automatically extract the desired information from the documents.

4. Export the extracted information in a structured format for further analysis and reporting.

1. Ingest market data from sources like social media, news articles, and surveys.

2. Use sentiment analysis to gauge public opinion on brands and products.

3. Apply topic modeling to identify emerging market trends.

4. Create visualizations to present key findings and inform strategic decisions.

1. Upload resumes and job applications in bulk.

2. Use Named Entity Recognition to extract key skills, experience, and education details.

3. Apply data enrichment to verify qualifications and identify relevant certifications.

4. Rank candidates based on their match to job requirements and generate a shortlist.

1. Upload insurance claim documents in various formats.

2. Use the Named Entity Recognition feature to extract policy numbers, claimant details, and incident information.

3. Apply the customizable models feature to identify relevant clauses and conditions in the documents.

4. Export the extracted information to the claims processing system for further review and adjudication.