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 openknowledge@hbs.edu. A short video with instructions on how to post an essay to this platform is available at https://digital.hbs.edu/platform-rctom/how-to/.

Submitted (927)

3D Printing…we should ‘Just Do It’!
Jerzey#305
Posted on November 13, 2018 at 7:59 pm
Feet wide apart, arms down by his side, he stares at the precise location where he will place the ball with his right foot. Before the run-up, there is an empathic sigh, with his lips pursed, as his shoulders go [...]
Risk management on the path to the machine learning prize at Workday
1,2, (or 3?) & me
Last modified on November 13, 2018 at 7:58 pm
While machine learning creates a large opportunity for cloud software-as-a-service provider Workday to build solutions beyond their core enterprise human capital management and financial forecasting software, the prospect of designing and implementing complex algorithms presents significant risks that must be [...]
Machine Learning at Yelp
foodie123
Last modified on November 13, 2018 at 3:23 pm
Machine learning has been integral to Yelp's business model over the last several years and can be leveraged to help improve their declining stock price.
Can machines replace lawyers?
Counselor
Posted on November 13, 2018 at 5:09 pm
With industry experts claiming that AI is a game-changer in the legal industry, what are law firms doing to take advantage of faster document processing provided by machine learning softwares?
Medtronic Must Continue to Invest in Additive Manufacturing
Jeffrey J Jefferson
Posted on November 13, 2018 at 3:13 pm
Medical device manufacturers such as Medtronic are uniquely positioned to benefit from advances in additive manufacturing - both for prototyping as well as the product attributes possible with this technique. Medtronic must continue to invest aggressively in this technology in [...]
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