Michael Papadopoulos

Principal

Chief Architect, Digital Problem Solving

Education

University of Essex
B.Eng (1st Class) Computers & Networks

Past Experience

App-Art
Product architect
mSensis
Product architect

Michael, a principal, is the chief architect at Arthur D. Little in the London office.

Michael is passionate about designing the right solutions using smart-stitching approaches, even when elegance and architectural purity are overshadowed by practicality.

Michael leads the scaling of multidisciplinary organizations by focusing on continuous improvement, establishing quality standards and solid software engineering practices. He mentors team members, leaders and managers along the way.

In solving intractable problems, Michael is a strong advocate of the DevOps culture and agile principles. Michael has demonstrated experience in solving problems in challenging global environments. Coming from a development background, Michael remains highly technical, with hands-on involvement in code review, design, architecture, and operations.

Michael has 15 years of experience in technology and digital consulting and has worked in a variety of sectors, including telecom, gaming, energy, and media.

Recent Publications

Unleashing innovation using low code/no code – The age of the citizen developer
As the saying goes,“software is eating the world,” forcing companies to change their business models and operations. In a highly competitive environment, ensuring they have the required software capabilities is a challenge. This article shows how adopting low-code/no-code techniques enables businesses to widen their options, providing tools for non-specialist “citizen developers” to digitize and transform their operations.
Why machine learning is crucial
This article explores the challenge of managing and gaining the most value from big data. We highlight the increased opportunity associated with larger data sets, while illustrating the limitations of current methods and human intellect across the 4 Vs of big data (volume, velocity, variety, and veracity), ultimately resulting in lost value — the fifth V. We further show how organizations can use machine learning (ML) to address these limitations and realize the full value from big data. Finally, we highlight how cutting-edge companies employ ML to obtain greater value.
Embrace the shadow
Shadow IT, systems built and used by business units without approval from the IT function, are now pervasive. Given that shadow IT is now a reality, this article outlines how companies and IT departments can embrace the trend in order to properly manage it and reap its benefits, in terms of increased productivity, innovation and flexibility.

Michael, a principal, is the chief architect at Arthur D. Little in the London office.

Michael is passionate about designing the right solutions using smart-stitching approaches, even when elegance and architectural purity are overshadowed by practicality.

Michael leads the scaling of multidisciplinary organizations by focusing on continuous improvement, establishing quality standards and solid software engineering practices. He mentors team members, leaders and managers along the way.

In solving intractable problems, Michael is a strong advocate of the DevOps culture and agile principles. Michael has demonstrated experience in solving problems in challenging global environments. Coming from a development background, Michael remains highly technical, with hands-on involvement in code review, design, architecture, and operations.

Michael has 15 years of experience in technology and digital consulting and has worked in a variety of sectors, including telecom, gaming, energy, and media.

Recent Publications

Unleashing innovation using low code/no code – The age of the citizen developer
As the saying goes,“software is eating the world,” forcing companies to change their business models and operations. In a highly competitive environment, ensuring they have the required software capabilities is a challenge. This article shows how adopting low-code/no-code techniques enables businesses to widen their options, providing tools for non-specialist “citizen developers” to digitize and transform their operations.
Why machine learning is crucial
This article explores the challenge of managing and gaining the most value from big data. We highlight the increased opportunity associated with larger data sets, while illustrating the limitations of current methods and human intellect across the 4 Vs of big data (volume, velocity, variety, and veracity), ultimately resulting in lost value — the fifth V. We further show how organizations can use machine learning (ML) to address these limitations and realize the full value from big data. Finally, we highlight how cutting-edge companies employ ML to obtain greater value.
Embrace the shadow
Shadow IT, systems built and used by business units without approval from the IT function, are now pervasive. Given that shadow IT is now a reality, this article outlines how companies and IT departments can embrace the trend in order to properly manage it and reap its benefits, in terms of increased productivity, innovation and flexibility.

More About Michael
  • University of Essex
    B.Eng (1st Class) Computers & Networks
  • App-Art
    Product architect
  • mSensis
    Product architect