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

Excelling in a software-driven future
Excelling in a software-driven future
Software is rapidly becoming a critical asset as industries converge and perception of value shifts from hardware to software. Surgeons, for instance, can perform lifesaving surgeries via virtual reality (VR). But such a revolutionary procedure demands zero risk for error or downtime in connectivity, leading to new network requirements. Retail and commerce has also conjoined with computing, logistics, and finance for seamless online shopping.
Blue Shift: The Metaverse, beyond fantasy
The Metaverse, beyond fantasy
Winning the war for digital talent
Winning the war for digital talent
Businesses across the world are facing a shortage of professional talent and expertise in digital and IT skills and capabilities. For example, a 2021 survey suggested that 76 percent of IT decision-makers worldwide faced critical skills gaps in their departments, an increase of 145 percent since 2016.[1]
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.

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

Excelling in a software-driven future
Excelling in a software-driven future
Software is rapidly becoming a critical asset as industries converge and perception of value shifts from hardware to software. Surgeons, for instance, can perform lifesaving surgeries via virtual reality (VR). But such a revolutionary procedure demands zero risk for error or downtime in connectivity, leading to new network requirements. Retail and commerce has also conjoined with computing, logistics, and finance for seamless online shopping.
Blue Shift: The Metaverse, beyond fantasy
The Metaverse, beyond fantasy
Winning the war for digital talent
Winning the war for digital talent
Businesses across the world are facing a shortage of professional talent and expertise in digital and IT skills and capabilities. For example, a 2021 survey suggested that 76 percent of IT decision-makers worldwide faced critical skills gaps in their departments, an increase of 145 percent since 2016.[1]
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.

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