Kjell   Carlsson, Ph.D.

Kjell Carlsson, Ph.D.

Senior Analyst Serving Application Development & Delivery Professionals

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 Ph.D. 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 M.A. in economics from Harvard University and a B.A. in economics and computer science from Columbia University.

Kjell Carlsson, Ph.D.

Senior Analyst Serving Application Development & Delivery Professionals

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 Ph.D. 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 M.A. in economics from Harvard University and a B.A. in economics and computer science from Columbia University.

Kjell Carlsson, Ph.D.'s Research

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  • For Application Development & Delivery Professionals

    REPORT: The Forrester New Wave™: AI-Fueled Speech Analytics Solutions, Q2 2018

    The 11 Providers That Matter Most And How They Stack Up

    June 22, 2018 Ian Jacobs, Kjell Carlsson, Ph.D.

    In Forrester's evaluation of the emerging market for AI-fueled speech analytics, we identified the 11 most significant providers in the category — Aspect, CallMiner, Clarabridge, Cogito, Genesys, Invoca, Mattersight, NICE, OpenText, Tethr, and Verint — and evaluated them. This report details our findings about how well each vendor scored against 10 criteria and where they stand in relation to each other. Application development and delivery (AD&D) professionals can use this review to select the right partner for their speech analytics needs.

  • For Application Development & Delivery Professionals

    REPORT: New Tech: AI-Fueled Speech Analytics Solutions, Q2 2018

    Forrester's Landscape Overview Of 21 Providers

    June 21, 2018 Ian Jacobs, Kjell Carlsson, Ph.D.

    The introduction of artificial intelligence (AI) technologies into speech analytics has turned this once-quiet backwater of the customer service world into a growing market for customer insight across sales, service, and marketing. This report presents a review of 21 vendors in the AI-fueled speech analytics tools market. Application development and delivery (AD&D) pros should use it to understand the capabilities within major market segments and to inform their technology strategies.

  • For Application Development & Delivery Professionals

    REPORT: Best Practices: Scaling Data Science Across The Enterprise

    Processes: The Customer Analytics Playbook

    May 29, 2018Kjell Carlsson, Ph.D.

    Executives and data scientists alike are frustrated by the challenges of turning new data science initiatives into business impact at scale. To successfully scale data science, firms need to better align data science, IT, and business teams to work together more effectively. This report lays out five best practices that application development and delivery (AD&D) professionals should use to drive business value with new data science initiatives across their organizations.

  • For Application Development & Delivery Professionals

    REPORT: Now Tech: Predictive Analytics And Machine Learning Solutions, Q2 2018

    Forrester's Overview Of 34 PAML Solution Providers

    April 26, 2018 Mike Gualtieri, Kjell Carlsson, Ph.D.

    You can use predictive analytics and machine learning (PAML) solutions to help data science teams become more productive, foster collaboration, and drive business outcomes. But to access these benefits, you'll first have to select from a diverse set of vendors — vendors that vary by size, functionality, geography, and vertical market focus. Application development and delivery (AD&D) pros should use Forrester's Now Tech report to understand the value they can expect from a PAML solution provider and select vendors based on size and tool set approach.

  • For Application Development & Delivery Professionals

    REPORT: AI Unlocks The Business Intelligence In BI

    Continuous Improvement: The Business Intelligence Playbook

    March 1, 2018 Boris Evelson, Kjell Carlsson, Ph.D.

    Business intelligence (BI) technology is the foundation of an insights-driven business. But even enterprises committed to data-driven decision making and that utilize modern BI tools frequently fail to transform data into actionable insights and tangible business outcomes — they are not yet insights driven. This report will guide application development and delivery (AD&D) pros working on BI initiatives on which artificial intelligence (AI) technologies they can deploy to boost BI capabilities.

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