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Hosted by Cloudera and featuring Forrester senior analyst Kjell Carlsson.

For leading enterprise organizations, successfully adopting machine learning (ML) and artificial intelligence (AI) will soon be the most important driver of business value and competitiveness. For businesses on their journey to becoming an AI-first enterprise, there are many organizational and operational challenges to tackle: 

  • How to hire and retain the right talent? 

  • How can businesses develop capabilities to quickly and effectively productionalize ML models?

  • What are the requirements for effectively governing and scaling ML models in production? 

  • And what are the best practices for ML operations and governance that will accelerate time to value?

In this fireside chat, Cloudera Chief Architect Doug Cutting, Forrester senior analyst Dr. Kjell Carlsson, and Senior Product Manager Alex Breshears tackle these questions and discuss the best practices that enterprises are using to successfully develop and operationalize ML and AI solutions that drive transformational outcomes.




Doug Cutting - Cloudera Chief Architect
Chief Architect, Cloudera

Doug Cutting


Doug (@cutting) is the founder of numerous successful open source projects, including Lucene, Nutch, Avro, and Hadoop. Doug joined Cloudera in 2009 from Yahoo!, where he was a key member of the team that built and deployed a production Hadoop storage and analysis cluster for mission-critical business analytics. Doug holds a Bachelor’s degree from Stanford University and sits on the Board of the Apache Software Foundation.

Sr. Analyst, Forrester

Dr. Kjell Carlsson


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.

Senior Product Manager, Production ML, Cloudera

Alex Breshears


Alex heads up product management for Cloudera's production machine learning products that enable customers to run hundreds to thousands of models at scale while meeting enterprise needs. Alex has also held positions in engineering and solutions engineering at Cloudera. Prior to Cloudera, he worked to develop, implement, and maintain marketing and loyalty systems at Supervalu and Walmart.

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