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Kjell Carlsson, PhD

Principal Analyst

Kjell serves application development and delivery professionals, covering data science, artificial intelligence, and advanced analytics. His research helps organizations take advantage of the increasing, untapped potential of these analytics technologies to drive growth and transform existing ways of doing business. His research agenda focuses on the strategies, best practices, skills, and vendors that accelerate the pace at which firms adopt and drive value from machine learning and advanced analytics.

Previous Work Experience

Kjell has more than 15 years of experience in driving strategic insights from data, across roles in strategy research, management consulting, big data, healthcare, and cloud-based services. Most recently, he led the development of speech analytics, predictive analytics, network analysis, and AI applications to drive sales performance at athenahealth. Prior to this, he was a management consultant leveraging data analysis for strategic recommendations at EMC — focusing on its data storage, disaster recovery and backup, and security businesses — and at Wilson Perumal & Co., focusing on the financial industry. Prior to his doctoral work, Kjell conducted research on strategy, national competitiveness, and healthcare for Michael Porter at the Institute for Strategy and Competitiveness.

Education

Kjell holds a PhD in business economics from the Harvard Business School, where he specialized in strategy, organizational economics, and international business. As part of his dissertation, he developed a game theory model with Oliver Hart — the 2016 Nobel Laureate in economics — and conducted the first large-sample analysis of global supply chain data to demonstrate the interplay of formal and relational contracting methods on global supply chains during the 2006-2008 financial crisis. His research is published in Advances in Strategic Management and Advances in International Management. He also holds an MA in economics from Harvard University and a BA in economics and computer science from Columbia University.

Kjell serves application development and delivery professionals, covering data science, artificial intelligence, and advanced analytics. His research helps organizations take advantage of the increasing, untapped potential of these analytics technologies to drive growth and transform existing ways of doing business. His research agenda focuses on the strategies, best practices, skills, and vendors that accelerate the pace at which firms adopt and drive value from machine learning and advanced analytics.

Previous Work Experience

Kjell has more than 15 years of experience in driving strategic insights from data, across roles in strategy research, management consulting, big data, healthcare, and cloud-based services. Most recently, he led the development of speech analytics, predictive analytics, network analysis, and AI applications to drive sales performance at athenahealth. Prior to this, he was a management consultant leveraging data analysis for strategic recommendations at EMC — focusing on its data storage, disaster recovery and backup, and security businesses — and at Wilson Perumal & Co., focusing on the financial industry. Prior to his doctoral work, Kjell conducted research on strategy, national competitiveness, and healthcare for Michael Porter at the Institute for Strategy and Competitiveness.

Education

Kjell holds a PhD in business economics from the Harvard Business School, where he specialized in strategy, organizational economics, and international business. As part of his dissertation, he developed a game theory model with Oliver Hart — the 2016 Nobel Laureate in economics — and conducted the first large-sample analysis of global supply chain data to demonstrate the interplay of formal and relational contracting methods on global supply chains during the 2006-2008 financial crisis. His research is published in Advances in Strategic Management and Advances in International Management. He also holds an MA in economics from Harvard University and a BA in economics and computer science from Columbia University.

Kjell Carlsson, PhD's Most Recent Research

Research

AI 2.0: Upgrade Your Enterprise With Five Next-Generation AI Advances

Advanced Level: Technology Practices For Insights-Driven Businesses

Just when you thought you knew what AI could and couldn't do, it quietly gets a radical upgrade. Five key advances redefine AI use cases and break the...

8 min read
Research

The Forrester New Wave™: Computer Vision Consultancies, Q4 2020

The 13 Computer Vision Providers That Matter Most And How They Stack Up
November 9th, 2020 | Kjell Carlsson Ph.D.

In Forrester's evaluation of the emerging market for computer vision (CV) consultancies, we identified the 13 most significant providers in the category...

15 min read
Research

The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning, Q3 2020

The 11 Providers That Matter Most And How They Stack Up
September 10th, 2020 | Mike Gualtieri, Kjell Carlsson Ph.D.

In our 26-criterion evaluation of multimodal predictive analytics and machine learning (PAML) providers, we identified the 11 most significant ones — Altair...

15 min read
Research

The Forrester Wave™: Notebook-Based Predictive Analytics And Machine Learning, Q3 2020

The 12 Providers That Matter Most And How They Stack Up
September 10th, 2020 | Kjell Carlsson Ph.D., Mike Gualtieri

In our 26-criterion evaluation of notebook-based predictive analytics and machine learning (PAML) providers, we identified the 12 most significant ones...

18 min read
Research

Introducing ModelOps To Operationalize AI

The Core Capability That Enterprises Need To Deploy, Monitor, And Govern Machine Learning Models
August 13th, 2020 | Kjell Carlsson PhD, Mike Gualtieri

Model operations (ModelOps) is a must-have capability to operationalize AI at scale. Also known as machine learning operations (MLOps), ModelOps comprises...

9 min read