Dr. Michael Eiden

Partner

Global Head, Artificial Intelligence

Michael leads ADL’s AI/ML team based in London and is responsible for ADL’s overall AI strategy.

Education

University of Trier, Germany
Doctorate in the field of Bioinformatics (summa cum laude)

Past Experience

Specific Diagnostics, USA
Chief Information Officer
Medical Research Council, United Kingdom
Lead Bioinformatician
Synthon Analytics, Germany
Head of Data Analysis

Michael is a Partner in our London office and a member of the Digital Problem Solving team.

Michael has built and leads ADL’s data science team and delivers innovative state-of-the-art AI/ML solutions addressing complex problems in a variety of different industries. In his role, Michael is responsible for any client delivery that contains AI/ML components as well as ADL’s overall AI strategy. 

Michael is passionate about solving intricate real-world problems with modern, highly scalable data science approaches. He has a 20-year hands-on experience in designing, developing, and implementing solutions and has worked in various different industries and geographies. 

The people-centric lab of the future
The people-centric lab of the future
As the world grapples with global mega-challenges, innovation[1] has never been more necessary. We need breakthrough innovation to solve pressing issues around energy, the environment, and social and health challenges. At the same time, and equally importantly, companies have to deal with a business world typified by increased complexity and accelerated time frames. Together these mean innovation must deliver more breakthroughs, rather than only incremental improvements, with more flexibility and responsiveness and at greater speed.
Software revolution
Software revolution
One of the front-row candidates for disruption by artificial intelligence (AI) is software product and service development. AI is already leading to a paradigm shift in aspects such as coding, architecture, security, service management and ticketing, and personalization, providing new opportunities and risks. But the implications go well beyond new products and services and improved development approaches, into how software enterprises need to transform themselves across the board, from strategy and organization through to capabilities, resources, and ways of working.
A golden bullet or pandora’s box?
A golden bullet or pandora’s box?
Rapid growth of generative artificial intelligence (GenAI) has unlocked significant opportunities in the communications platform as a service (CPaaS) space, with those able to harness its potential poised to strategically differentiate. Leveraging GenAI facilitates dynamic solutions that offer context-specific experiences for end users — revolutionizing current offerings. But how should CPaaS players approach such an opportunity, and what are the impacts for the wider ecosystem?

Michael is a Partner in our London office and a member of the Digital Problem Solving team.

Michael has built and leads ADL’s data science team and delivers innovative state-of-the-art AI/ML solutions addressing complex problems in a variety of different industries. In his role, Michael is responsible for any client delivery that contains AI/ML components as well as ADL’s overall AI strategy. 

Michael is passionate about solving intricate real-world problems with modern, highly scalable data science approaches. He has a 20-year hands-on experience in designing, developing, and implementing solutions and has worked in various different industries and geographies. 

The people-centric lab of the future
The people-centric lab of the future
As the world grapples with global mega-challenges, innovation[1] has never been more necessary. We need breakthrough innovation to solve pressing issues around energy, the environment, and social and health challenges. At the same time, and equally importantly, companies have to deal with a business world typified by increased complexity and accelerated time frames. Together these mean innovation must deliver more breakthroughs, rather than only incremental improvements, with more flexibility and responsiveness and at greater speed.
Software revolution
Software revolution
One of the front-row candidates for disruption by artificial intelligence (AI) is software product and service development. AI is already leading to a paradigm shift in aspects such as coding, architecture, security, service management and ticketing, and personalization, providing new opportunities and risks. But the implications go well beyond new products and services and improved development approaches, into how software enterprises need to transform themselves across the board, from strategy and organization through to capabilities, resources, and ways of working.
A golden bullet or pandora’s box?
A golden bullet or pandora’s box?
Rapid growth of generative artificial intelligence (GenAI) has unlocked significant opportunities in the communications platform as a service (CPaaS) space, with those able to harness its potential poised to strategically differentiate. Leveraging GenAI facilitates dynamic solutions that offer context-specific experiences for end users — revolutionizing current offerings. But how should CPaaS players approach such an opportunity, and what are the impacts for the wider ecosystem?

More About Michael
  • University of Trier, Germany
    Doctorate in the field of Bioinformatics (summa cum laude)
  • Specific Diagnostics, USA
    Chief Information Officer
  • Medical Research Council, United Kingdom
    Lead Bioinformatician
  • Synthon Analytics, Germany
    Head of Data Analysis