Latest Assignment

RC TOM Challenge 2018

November 13, 2018

Read The Full Prompt

The TOM Challenge provides an opportunity for you to continue exploring organizational learning and innovation through the lens of process improvement and/or product development, the focus of RC TOM’s second module. In this challenge, you will investigate how an organization is grappling with machine learning, additive manufacturing, or open innovation. These megatrends are likely to significantly affect how organizations manage process improvement and product development in the coming years of your career. The TOM Challenge requires you to (1) conduct research and write an essay that examines how one organization is facing a particular aspect of one of these megatrends, and (2) write six comments that share your reflections on some of your section mates’ essays.

Your essay should address four questions in the context of the organization you choose:

  1. Why do you think the megatrend you selected is important to your organization’s management of process improvement and/or product development?
  2. What is the organization’s management doing to address this issue in the short term (the next two years) and the medium term (two to ten years out)?
  3. What other steps do you recommend the organization’s management take to address this issue in the short and medium terms?
  4. In the context of this organization, what are one or two important open questions related to this issue that you are unsure about that merit comments from your classmates?

Your essay should convey facts, analysis, and your recommendations. It should focus on a single organization (e.g., a single company, non-profit organization, or government agency) and a concern related to one megatrend. It is fine if the concern you choose relates to other megatrends that the organization is facing, but that’s not required. Roughly a third of your essay should be dedicated to each of the first three questions, with just a few sentences dedicated to the fourth question. Your essay should be at least 700 words but no more than 800 words, and must conclude with a word count in parentheses (such as 778 words).

When posting your essay to Open Knowledge, be sure to enter “Machine Learning”, “Additive Manufacturing”, or “Isolationism” in the Topics field.

More details on research, sourcing, deadlines, and other matters are provided in the RC TOM Challenge: 2018 noteFor assistance with the Open Knowledge platform during business hours (9:00 am – 5:00 pm M-F), email A short video with instructions on how to post an essay to this platform is available at

Submitted (926)

Machine Learning at Amazon: Will Amazon Go Reinvent Retail?
Posted on November 13, 2018 at 5:14 pm
Imagine a future where there are no longer queues to pay for groceries at a supermarket, order a meal at a fast food restaurant, or buy a movie ticket at a theater. As dreamlike as it sounds, these scenarios are [...]
Houzz Leverage Deep Learning to Level Up its Game in Online Marketplace
Feifei Li
Last modified on November 13, 2018 at 8:00 pm
Over the past decade, machine learning has profoundly disrupted online ecommerce shopping experience. It enables ecommerce businesses to create a more personalized customer experience by constantly training and refining their consumer datasets, leading to better conversion rates overall. However, for [...]
Machine Learning enhances Public Policy in Colombia
Posted on November 13, 2018 at 1:36 pm
It is undeniable the importance of data processing in decision making. Colombia has started implementing machine learning to better understand the efficient policies and maximize the impact of the taxpayers’ money in the country’s development.
Netflix Uses Machine Learning to Cut Costs and Retain Customers
Posted on November 13, 2018 at 7:59 pm
Netflix is an on-demand video subscription service offering unlimited viewing for a monthly fee in virtually every market in the world except China. The company currently has over 137 million accounts across these markets in which it competes with other [...]
1 32 33 34 35 36 39