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. 

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?
The intersection of AI & financial services
The intersection of AI & financial services
In our evolving digital landscape, artificial intelligence (AI) is driving innovation across multiple sectors. It has now intersected with embedded finance, which weaves financial services into nonfinancial platforms, enhancing user experiences and streamlining processes. AI has the potential to lift embedded finance to its fullest, offering tools to combat fraud, curate personalized experiences, and manage risks.
Comprehensive machine-augmented assurance
Comprehensive machine-augmented assurance
Augmented decision-making tools can improve both the efficiency and effectiveness of expert-led assurance activities. In turn, these tools can deliver significant business benefits, such as by avoiding delays in acceptance of new systems, reducing costs, and de-risking the system that is being assured. In this Viewpoint, we share ways to utilize such technology to the greater benefit.

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. 

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?
The intersection of AI & financial services
The intersection of AI & financial services
In our evolving digital landscape, artificial intelligence (AI) is driving innovation across multiple sectors. It has now intersected with embedded finance, which weaves financial services into nonfinancial platforms, enhancing user experiences and streamlining processes. AI has the potential to lift embedded finance to its fullest, offering tools to combat fraud, curate personalized experiences, and manage risks.
Comprehensive machine-augmented assurance
Comprehensive machine-augmented assurance
Augmented decision-making tools can improve both the efficiency and effectiveness of expert-led assurance activities. In turn, these tools can deliver significant business benefits, such as by avoiding delays in acceptance of new systems, reducing costs, and de-risking the system that is being assured. In this Viewpoint, we share ways to utilize such technology to the greater benefit.

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