Michael Papadopoulos

Principal

Chief Architect, Digital Problem Solving

United Kingdom

Michael is a strong advocate of the DevOps culture and agile principles, with demonstrated experience applying both in challenging global environments. Coming from a development background, he remains highly technical, with hands-on involvement.

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.

Taking control of AI
Taking control of AI
For decades, organizations have struggled to connect employees with the internal knowledge and insights they need to make better, more informed, and timelier decisions. Finding the right information, at the right time, among the increasing volumes of structured and unstructured corporate data, and delivering it in the right format is business-critical. However, it is often like looking for a needle in a haystack.
Tightening the data belt
Tightening the data belt
The era of big data has delivered real business impacts across industries. However, increased data gathering has a downside; ever-growing data storage volumes and compute requirements lead to budgetary and operational constraints. Automatically generated log files silently drive this rapid, enormous data growth. This Viewpoint identifies how companies can successfully improve holistic log file management to deliver benefits by controlling costs, ensuring compliance, and unlocking data value.
Blue Shift: The Metaverse, beyond fantasy
The Metaverse, beyond fantasy

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.

Taking control of AI
Taking control of AI
For decades, organizations have struggled to connect employees with the internal knowledge and insights they need to make better, more informed, and timelier decisions. Finding the right information, at the right time, among the increasing volumes of structured and unstructured corporate data, and delivering it in the right format is business-critical. However, it is often like looking for a needle in a haystack.
Tightening the data belt
Tightening the data belt
The era of big data has delivered real business impacts across industries. However, increased data gathering has a downside; ever-growing data storage volumes and compute requirements lead to budgetary and operational constraints. Automatically generated log files silently drive this rapid, enormous data growth. This Viewpoint identifies how companies can successfully improve holistic log file management to deliver benefits by controlling costs, ensuring compliance, and unlocking data value.
Blue Shift: The Metaverse, beyond fantasy
The Metaverse, beyond fantasy

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