Blog Categories

Customers need to make informed decisions while choosing the engagement model.
Companies with in-house software development capabilities will benefit from IT Staff
Augmentation and Dedicated Teams for undertaking short-term growth projects.
Software Project Outsourcing is best suited for companies wanting to focus on core
competencies while leveraging the expertise of a software development company for
developing and managing their application portfolio.

Customers need to make informed decisions while choosing the engagement model.
Companies with in-house software development capabilities will benefit from IT Staff
Augmentation and Dedicated Teams for undertaking short-term growth projects.
Software Project Outsourcing is best suited for companies wanting to focus on core
competencies while leveraging the expertise of a software development company for
developing and managing their application portfolio.

Customers need to make informed decisions while choosing the engagement model.
Companies with in-house software development capabilities will benefit from IT Staff
Augmentation and Dedicated Teams for undertaking short-term growth projects.
Software Project Outsourcing is best suited for companies wanting to focus on core
competencies while leveraging the expertise of a software development company for
developing and managing their application portfolio.

Customers need to make informed decisions while choosing the engagement model.
Companies with in-house software development capabilities will benefit from IT Staff
Augmentation and Dedicated Teams for undertaking short-term growth projects.
Software Project Outsourcing is best suited for companies wanting to focus on core
competencies while leveraging the expertise of a software development company for
developing and managing their application portfolio.

The concept of process improvement is about to be upended… factories of today collect massive amounts of data and use tools such as Microsoft Business Intelligence (Power BI) to create dashboards. These dashboards tell a story of what happened and model changes for process improvement. They have worked very well to establish standards and provide an early warning system with their formidable ability to bring relevance and context to data, but they cannot do a simulation and change variables using AI or ML in a predictable fashion then immediately bring them back into the physical world to provide ROI.

The concept of process improvement is about to be upended… factories of today collect massive amounts of data and use tools such as Microsoft Business Intelligence (Power BI) to create dashboards. These dashboards tell a story of what happened and model changes for process improvement. They have worked very well to establish standards and provide an early warning system with their formidable ability to bring relevance and context to data, but they cannot do a simulation and change variables using AI or ML in a predictable fashion then immediately bring them back into the physical world to provide ROI.

The concept of process improvement is about to be upended… factories of today collect massive amounts of data and use tools such as Microsoft Business Intelligence (Power BI) to create dashboards. These dashboards tell a story of what happened and model changes for process improvement. They have worked very well to establish standards and provide an early warning system with their formidable ability to bring relevance and context to data, but they cannot do a simulation and change variables using AI or ML in a predictable fashion then immediately bring them back into the physical world to provide ROI.

The concept of process improvement is about to be upended… factories of today collect massive amounts of data and use tools such as Microsoft Business Intelligence (Power BI) to create dashboards. These dashboards tell a story of what happened and model changes for process improvement. They have worked very well to establish standards and provide an early warning system with their formidable ability to bring relevance and context to data, but they cannot do a simulation and change variables using AI or ML in a predictable fashion then immediately bring them back into the physical world to provide ROI.