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.
Key AI Service Offerings
AI Adoption Services
End to End AI Adoption for an enterprise
AI Solution Development
Build and Deploy custom AI services with enterprise Integration
Model Life Cycle Management
Maximize efficiency and effectiveness with cost optimization
AI Ecosystem Enablement Services
Enable the ecosystem for AI effectiveness: Data, Security, Integration, tools and platforms
Differentiators
Tailored AI Solutions
AI solutions tailored to the specific needs and challenges of each client
Leading in Digital Engineering
Success fully delivering AI solutions across various industries. Datamatics own AI product since years and evolving with time.
Deep Domain Knowledge
Our Expertise Encompasses Premier Brands in Financial Services, Retail, Logistics, Travel and Other domains.
Scale
Empowering Hyperscalers: Collaborating with Leading AI Platform Partners to Elevate AI Solutions
Continuous Innovation
Dedicated R&D Team for continuous innovation, research, and development in the AI field
Our Support
We offer training, maintenance, and support services to ensure you can maximize the benefits of AI solutions over time.
AI Adoption Journey - Three key phases of AI Adoption for an Enterprise
Discovery (Business Alignment)
Key Focus Areas *
Business Analysis
AI Use Case Identification
AI Roadmap Development
* Workshops/SME sessions
Our Key Enablers
AI Maturity Assessment Framework
Transformation Framework
AI Ethics Framework
Design Studio
AI Use Case Validation Framework
Key Outcomes
AI Roadmap
AI Use Cases
AI Governance Framework
AI Readiness Plan
Implementation (Build/Test Deploy)
Key Focus Areas
Implementation Strategy
AI Solution Selection
Data Strategy
Integration Strategy
UI/UX Strategy
Model Training Strategy
Security Strategy
Governance Strategy
Implementation
Build
Test
Deploy
Our Key Enablers
AI Implementation Framework
AI Security Framework
Model Testing Framework
AI SDCL Productivity Tool
Agile Delivery Framework
Key Outcomes
Production Ready Solutions
Dashboards of Implemented Solutions
Key Metrics
Production Support (AI Ops)
Key Focus Areas
Continuous monitoring and optimization
Continuous Improvement Strategy
Incident Management
Alerts and Notifications
Our Key Enablers
AI Ops Framework
Managed Services Framework
Cost Optimization Framework
AI Production Tool
Key Outcomes
Cost Optimization requirement
Continual Training Model
ROI Calculations
Shared Services
Al SOLUTIONS
Datamatics Generative Al & Applied Al solutions help enterprises to improve customer experience, increase profitability and enhance productivity. Our solutions include the below
Enterprise Content Mining
Leverage Gen Al for information extraction from diverse data sources
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.
