Unleash the power of Artificial Intelligence across your enterprise value chain
Artificial Intelligence & Cognitive Sciences
Unleash the power of Artificial Intelligence across your enterprise value chain
Generative AI can help you turbocharge your business by providing quantum leap in customer experience, efficiency and quality of decision making. Datamatics enables enterprises to adopt an AI-First strategy and provides a roadmap to automate business processes across the organization. Datamatics follows the 5D methodology to Discover & Analyze, Design, Develop & Build, Deploy & Implement and Deliver Value. Datamatics AI CoE has deep expertise across various large language models such as GPT & Bard and is also staffed with AI developers, designers, architects who can help you start and scale your AI initiatives for competitive advantage.
Datamatics TruAITM is a comprehensive artificial intelligence and cognitive sciences solution that helps mine data and text to infer patterns in highly complex and high-volume data.
Email Analysis
Document Classification
Feature Extraction
Summarization
Sentiments / Emotions
Key Phrase Chunking
Classification / Clustering
Neural Information Retrieval - Key Data Items
Semantic Search
Association / Relationship between Info Content
Predictions
Prescriptions
Pattern Detection
Anomaly Detection
Recommendation
Image Classification
Object Detection
Anomaly Detection
Face Recognition - KYC
Document Recognition - ID Cards - Data Extraction / Validation
Image Enhancements - OCR
Technology Expertise
FEATURED CONTENT
Case Study
TruAI Optimizes Sales For A Multinational Consumer Products Giant
The AI Maturity Assessment Framework is a tool used to evaluate an organization's level of maturity in adopting and implementing AI technologies. It assesses various factors such as strategy, data management, technology infrastructure, talent, and governance, providing insights into areas where improvements can be made to accelerate AI adoption.
What is the AI Adoption Framework for Enterprises?
The AI Adoption Framework for Enterprises is a systematic approach to guide organizations in successfully adopting AI technologies. It involves identifying business use cases, evaluating AI readiness, defining implementation strategies, selecting appropriate AI solutions, managing change, and measuring outcomes to ensure a smooth and effective adoption process.
What is the AI Implementation Framework?
The AI Implementation Framework provides a structured approach to implementing AI projects within organizations. It includes steps such as defining project objectives, data collection and preparation, model development and training, testing and validation, deployment, and monitoring. This framework ensures a systematic and efficient implementation process.
What is the AI CoE (Center of Excellence) in AI Practice?
The AI CoE (Center of Excellence) is a dedicated unit within an organization that focuses on AI-related activities. It serves as a hub for AI knowledge, research, and development, fostering collaboration, innovation, and best practices. The AI CoE may provide training, support, and resources to enable successful AI adoption across the organization.
What are RevOps in AI & Cognitive solutions?
Revenue Operations (RevOps) in the realm of AI and Cognitive Sciences represents a strategic approach where organizations leverage artificial intelligence and cognitive technologies to optimize revenue-related functions. It encompasses the alignment of sales, marketing, and customer success operations to enhance revenue generation. AI plays a pivotal role by automating tasks such as lead scoring, customer segmentation, predictive analytics, and sales forecasting, ultimately improving efficiency and precision in revenue-related processes.
How does Computer Vision enable Manufacturing?
Computer Vision enables Manufacturing in quality control. It helps accurately detect defects in the products on the assembly line. Computer Vision enables Manufacturing businesses to tighten quality control at the edge and roll out defect-free products.
How does Natural Language Processing enable businesses?
Natural Language Processing is popularly used for sentiment analysis of customers for product design and improvement. It is also used in fraud detection mechanisms to flag off potential fraudulent transactions in the BFSI industry.
