Our reusable assets are designed to empower accurate and efficient Data and AI application development and deployment from the very first time. With domain-focused knowledge hubs, pre-built libraries, solution accelerators, and performance monitoring frameworks, our assets streamline your data-driven and AI-powered initiatives, ensuring business value and accelerating time to impact.
Apptad’s assets address critical aspects such as data integration, contextual understanding, solution building, operational efficiency, and measurable results, making them essential for organizations aiming for successful, scalable Data and AI implementations.
Connect With UsReady-To-Use Assets Built for
Every Stage of Your Data & AI Lifecycle
Data Assets & Accelerators
AI/ML Assets & Accelerators
Advise
Implement
Operate
01
Data Governance Maturity Assessment Toolkit
Structured tools for evaluating data governance capabilities, identifying gaps, and defining improvement areas.
02
Enterprise Data Management Blueprint
Pre-built frameworks to design enterprise-wide data architectures covering data integration, quality, and storage.
03
Cloud Data Modernization Strategy Framework
A comprehensive guide to assessing on-premise to cloud transitions, focusing on scalability, cost, and security.
04
Data Catalog Design Accelerator
Templates and processes to map, classify, and structure organizational data assets effectively.
05
Master Data Management (MDM) Strategy Toolkit
Roadmaps and workflows to define MDM approaches, including data mastering rules and integration blueprints.
06
Industry-Specific Data Playbooks
Playbooks showcasing tailored strategies for sectors such as healthcare and life sciences, retail, and manufacturing.
01
Pre-Built Data Integration Pipelines
Reusable connectors for platforms like Snowflake, Informatica, Azure, and SAP to streamline data ingestion.
02
Data Migration Accelerators
Tools for rapid data migration with schema mapping, transformation scripts, and validation templates.
03
Data Lineage Visualization Toolkit
Interactive visualizations of data flows across systems, enabling traceability and impact analysis.
04
AI-Powered Data Discovery Accelerators
Tools using AI to uncover hidden patterns, anomalies, and insights from large datasets.
05
Master Data Implementation Framework
Templates and workflows for deploying MDM solutions, including hierarchy management and golden record creation.
06
ETL Automation Scripts:
Pre-developed scripts for faster ETL process implementation with minimal coding effort.
01
Data Access Monitoring and Alerts Framework
Tools to track and notify about unauthorized or unusual access patterns across enterprise data platforms.
02
Continuous Data Quality Monitoring Toolkit
Automation for ongoing data quality checks, anomaly detection, and SLA compliance tracking.
03
AI Model Monitoring Accelerators
Tools for monitoring analytics models in production, ensuring consistent performance and detecting drift.
04
Operational Data Governance Framework
Processes and tools to enforce data stewardship, access control, and compliance policies during operations.
05
Incident Management Automation
AI-powered workflows for logging, prioritizing, and resolving data issues efficiently.
Problem Definition
Our problem-definition assets empower teams to understand complex challenges deeply, facilitating a context-driven approach to AI development.
- K-Hub : A specialized knowledge repository organized by domain.
- D3: Comprehensive dictionary of data terms and definitions.
- AOP Canvas: A tool for streamlined business opportunity discovery.
- Use-case: libraries and resources to support informed decision-making.
Solution Accelerators
Apptad’s solution accelerators enable accelerated AI and ML implementation, drawing from proven past approaches and recent technological advancements.
- Ontologies & Data Models: Standardized resources for structured AI development.
- AutoFeat: A framework for automated feature engineering.
- Model Library: Ready-to-deploy models across 40+ industries.
- Validation Methodologies: Rigorous testing tools to ensure model reliability.
Operations
Our operational assets streamline deployment, ensuring continuous optimization and maximum business impact.
- Deployment SOPs and Checklists: Standard operating procedures for model rollout.
- Best Practices for Optimization: Guidelines for tuning and refining AI models.
- Inference Pipeline Deployment: Tools to ensure smooth inference processes and accuracy.
Adoption and Measurement
These tools provide key metrics and insights to drive enterprise-wide AI adoption, demonstrating real value and guiding further AI growth.
- Persona-Based UX Templates: Tailored designs to maximize user engagement.
- AutoPulse: An advanced framework for model monitoring and performance tracking.
- Business Value Measurement Tools: Frameworks to quantify and showcase ROI on AI initiatives.
Unleash the Power of AI with Ready-to-Deploy Assets
Knowledge repository organized by domain
Dictionary of data terms & definitions
A tool for discovering streamlined business opportunity
Framework for automated feature engineering
Advanced framework for model engineering & performance tracking
Repository of key tools, technologies, libraries and methodologies.