DayTwo: Going to Market with Gut Microbiome

DayTwo is a young Israeli company that researches the gut microbiome and machine learning algorithms to provide users with personalized dietary recommendations to minimize blood sugar spikes after meals. After a first year of implementation in Israel, CEO Lihi Segal and her team are developing a global Gotomarket plan for the company. The team is …

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WD-40 Company: The Squeak, Smell, and Dirt Business (A)

In the fall of 1999, Garry Ridge, the new CEO of WD40 Company, wanted to rejuvenate the company and encourage his employees to look beyond the relatively narrow focus of the company of the past 43 years. The WD40’s success in conquering the market had created its own limited growth opportunities. Case A describes the …

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Transforming the vision of retail with AI: Visenze

In April 2020, in the context of the Covid 19 pandemic, the case will focus on visual search opportunities in the online retail market segment and beyond. Visense is an easaservice (SaaS) visual search software solution provider with a Payasyouuse API-based market solution focused on the retail segment. Visenze saw usage of its solutions increase …

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Danfoss RC in China: Going Global, Big Challenges, Condensed Version (A) & (B)

Danfoss is one of the largest family-owned companies in Denmark, producing components for a wide range of industrial control tasks. The case covers 1996-2004 and first looks at Danfoss’ globalization strategy, then focuses on its specific experience and knowledge in China before turning to the broader challenges that globalization in China poses for Danfoss as …

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Surviving SAP Implementation in a Hospital

On January 1, 2011, FundaciĆ³n Valle del Lili, a university hospital in Cali, Colombia, switched from using paper for medical records and all clinical and administrative processes associated with electronic management. This was a significant departure from the industry norm, as it was unusual for a hospital to implement electronic medical records, computer-assisted physician order …

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Assessing Prediction Accuracy of Machine Learning Models

The note presents a variety of methods for evaluating the accuracy of predictive machine learning models. The note begins with a brief introduction to machine learning, overfitting, training against test data sets, and cross-validation. The following precision metrics and tools are described below: root mean square error (MSE), mean absolute deviation (MAD), Brier score and …

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Evaluating the Cognitive Analytics Frontier

In the fall of 2014, Chad Kartchner, Honeywell Aerospace (HA) senior director of marketing and product management, considered how technology could transform the way aircraft are serviced. He had heard a lot about cognitive analysis, an artificial intelligence term that refers to the use of computer models and algorithms to simulate human thinking through self-learning …

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