AWS Data, AI, and ML Competency

In today’s data-driven world, businesses face a critical challenge: how to harness the power of data to scale, transform, and accelerate their digital journeys. At Incedo, we empower businesses to overcome this challenge with our comprehensive Data, AI, and ML solutions.

Our team of over 700 experienced Data, AI, and ML associates, including 350+ AWS practitioners, 100+ Data Scientists, and 100+ Analytics & BI Experts, brings together deep domain expertise, advanced technical skills, and a proven track record of success. We leverage our proprietary platforms and agile innovation pods to deliver actionable AI strategies, transformative data analytics, and robust data engineering and operations solutions.

With Incedo, you can:

Unlock actionable insights from your data to improve customer experiences, grow revenue, enhance operational performance, and minimize risks.
Embrace AI-powered decision-making to optimize customer journeys, predict customer behaviors, drive sales performance, and streamline core operations.
Derive value from your data with our AI-driven data quality monitoring, data pipeline development, and data governance expertise.

Incedo’s Data, AI, and ML Services Offerings

At Incedo, we offer a comprehensive suite of Data, AI, and ML services to empower your business to unlock the full potential of your data. Whether you’re looking to build a data-driven foundation, transform your data infrastructure, or unlock the power of AI and ML, we have the expertise and solutions to help you achieve your goals.

Cloud Data Diagnostics & Architecture Design

Data diagnostics: Identify data quality issues, potential bottlenecks, and opportunities for improvement.
Business case development: Quantify the potential impact of data-driven initiatives.
Regulatory compliance assessment: Ensure your data infrastructure meets industry regulations and standards.
Unified infrastructure architecture design: Create a future-proof data platform tailored to your specific needs.

Data Ingestion, Engineering & Data Warehouse Modernization

Integrated data lakes and warehouses: Store and manage diverse data sets efficiently.
Conceptual data models: Design a clear and concise representation of your data.
Modernized ELT/ETL pipelines: Extract, transform, and load your data seamlessly.
Enhanced data infrastructure efficiency and insights: Unlock valuable insights from your data faster.

Data Governance in Cloud

Processes, roles, policies, and standards: Establish clear guidelines for data management.
Robust data governance platforms: Ensure data quality, security, and accessibility.
Strong foundation for effective data management: Build trust and confidence in your data.

Data Migration Factory

Expertly developed migration plans: Minimize disruption and ensure a smooth transition.
Rapid iteration of solutions: Adapt quickly to changing requirements.
Seamless data migration: Move your data to the cloud efficiently and securely.

BI & Visualization

Data marts: Create focused data sets for specific business needs.
KPI/metrics frameworks: Track performance and measure progress.
Data visualization design: Communicate complex data insights clearly and effectively.
Command center development: Monitor key performance indicators in real-time.

AI/ML Model Build and Implementations

Model building, training, and tuning: Develop and optimize AI/ML models for specific tasks.
Model inference, serving, monitoring, and re-training: Ensure your models are delivering accurate predictions and continuously improving.
Unlock the power of AI/ML: Drive automation, improve decision-making, and gain a competitive edge.

Data Products

Data-as-a-Service: Convert your data into actionable insights for others to use.
Data-enhanced products: Develop innovative products powered by data and AI.
Automated decision-making: Drive efficiency and effectiveness across your organization.
Business growth and efficiency: Unlock new opportunities and achieve your goals.

DataOps & MLOps

Data acquisition and dataset process development: Ensure you have the right data to train and improve your models.
Improved data reliability, efficiency, and quality: Optimize your data workflows for optimal performance.
Enhanced data and ML operations: Get the most out of your data and AI investments.

Ongoing Data Management & Support

Data process management and monitoring: Keep your data infrastructure running smoothly.
Data availability and disaster recovery: Ensure your data is always accessible and protected.
Robust data governance and access controls: Maintain the integrity and security of your data.
Comprehensive data support: Get the help you need to keep your data-driven initiatives on track.