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://aiinstitute.hbs.edu/platform-rctom/how-to/.

Submitted (926)

How Machine Learning is Transforming the Largest Purchase You Will Ever Make
Josh
Posted on November 13, 2018 at 4:57 pm
How Machine Learning is disturbing the world of Real Estate.
Get Em While They’re Hot: Dynamic Ticket Pricing in Major League Baseball
Dwight K Schrute
Last modified on November 13, 2018 at 2:37 pm
How professional baseball teams borrowed a strategy from airlines and musicians to strike back against secondary ticket brokers like StubHub.
Block by Block: Harnessing Open Innovation at The LEGO Group
beaverpaw2020
Posted on November 13, 2018 at 7:29 pm
Between 1999-2003 The LEGO Group was on a burning platform [1]. Children were abandoning traditional toys at earlier ages, turning to more sophisticated alternatives such as video games. Retailers were becoming more complex, as the phenomenon of big-box stores made [...]
SoundCloud’s Open Innovation Approach to Reinventing Itself: Survival Instinct?
Alisia Painter
Posted on November 13, 2018 at 6:09 pm
SoundCloud is on the brink of extinction, can open innovation help them build a better product?
XPO Logistics (XPO): Attempting to Bring the Truckload and Less-than-Truckload (LTL) Industries into the Twenty-First Century
Count of Monte Cristo
Posted on November 13, 2018 at 1:47 am
In stark contrast to the airline and auto industries, the trucking industry continues to remain stuck in a time warp. Will XPO Logistics (XPO) – a leading provider of LTL services - be able to successfully harness machine learning and [...]
The government wants you…to hack it?
Varrock
Posted on November 13, 2018 at 5:30 pm
How the US government is relying on open innovation to combat cyberterrorism
3D Printed Sneakers and Mass Customization – Is Adidas There Yet?
Kubs
Last modified on November 13, 2018 at 2:15 pm
Adidas, a sporting goods giant, believes 3D printing is huge opportunity to disrupt footwear product development and supply chain. Is it another marketing gimmick or imminent future?
Adidas in the 3D Printed Race – When Size Does Not Matter
Viet Nguyen
Last modified on November 15, 2018 at 12:49 am
Adidas, one of the world’s largest sportswear manufacturers, is betting on 3D printing to create the next generation of bespoken sneakers for individual customers. Will we see a future when size charts become redundant, and “custom-fitted haute couture” no longer [...]
A $4,000 donation can now provide a whole new home for a family in less than 24 hours
mrgsg
Last modified on November 13, 2018 at 12:55 am
How a non-profit uses additive manufacturing to build affordable, viable homes in the developing world
AIR Worldwide: Machine Learning’s Role in Risk Modeling
Jane D.
Posted on November 13, 2018 at 12:59 pm
AIR Worldwide is leading the way in utilizing predictive modeling to identify, assess, and mitigate catastrophic risks.
Who Defines Beauty: Humans or Meitu?
Irene Kwok
Posted on November 11, 2018 at 6:18 pm
If you have the largest database of human portraits on the planet and each one is manually beautified, can you use machine learning to generalize beauty for the human race?
3D Printing and Humanitarian Aid, Will the US Learn from Past Disastrous Response?
Bnewton@mba2020.hbs.edu
Posted on November 13, 2018 at 1:43 pm
I argue that the standard US response to disaster (i.e. Puerto Rico) could be drastically improved by incorporating Additive Manufacturing in relief efforts.
Kevin Stein at TransDigm Group
CPM
Posted on November 13, 2018 at 7:12 pm
Kevin Stein, CEO of TransDigm Group (“TDG”), a leading “designer, producer and supplier of highly engineered aircraft components,” gazed out his office window, playing back his conversation with CFO Michael Lisman from November 8, 2018. The debate du jour: does [...]
Waymo: The future of (not) driving
ssingayapally
Posted on November 13, 2018 at 9:49 pm
Waymo is attempting to improve transportation using autonomous vehicles. As it is preparing to launch a ride-hailing service with these cars, there are several challenges it faces - from perceived safety issues to long-term transportation policy around the world.
General Electric’s Future with Additive Manufacturing
David Zhou
Last modified on November 12, 2018 at 7:53 pm
General Electric is utilizing additive manufacturing to reshape its products. What does the future hold for the company and its additive division?
Collaborative autonomy in the Operating Room: Verb Surgical and Democratized Surgery
Santosh Iyer
Last modified on November 15, 2018 at 8:42 am
Can Verb Surgical use advanced robotics and machine learning to deliver high quality surgical care to the 5 billion [16] people around the world who desparately need it?
Machine Learning at Wayfair
Litmus
Posted on November 12, 2018 at 6:33 pm
As e-commerce continues to grow rapidly, data on online customer shopping habits and behaviors also continues to expand. Customers are typing in millions of searches an hour, and each results page is a data point that can be fed back [...]
Building a Better Future – 3D Printed Housing at WinSun
Drew Perry
Posted on November 12, 2018 at 10:53 am
WinSun is using 3D printing in construction to lower costs and timelines while protecting against pollution and corruption
Additive manufacturing of hearing aid requiring anatomical precision
JZMBA2020
Last modified on November 13, 2018 at 12:02 am
Earlens, a innovative hearing aid maker, used additive manufacturing to make anatomical precision hearing aid a possibility
VIPKID: Machine Learning in Online Education
MTAO
Last modified on November 13, 2018 at 5:36 pm
How should the new leader in online English education power human learning with machine learning?
Mickey Mouse in the 21st Century: How machine learning is making Disney World the happiest, and most efficient, place on Earth
Julie Gaffney
Posted on November 12, 2018 at 11:00 pm
A longtime staple for family-friendly vacations, Disney theme parks are using machine learning to add to the magic.
Can Machine Learning predict, prevent and diagnose Diabetes effectively?
TOManager
Posted on November 14, 2018 at 5:38 pm
Diabetes is one of the fastest growing disorders affecting population across the globe, where diagnosis remains as big a challenge as treatment. Will Machine Learning enable healthcare companies to develop an effective disease management solution?
Is There Value in Predicting When and How An Equipment Will Fail? Royal Dutch Shell Thinks So!
Z_A
Last modified on November 13, 2018 at 7:12 pm
See how Royal Dutch Shell plans to use predictive maintenance to improve profitability.
New Story: Remodeling Affordable Housing Through 3D Printing
SHo
Posted on November 13, 2018 at 12:51 am
New Story is tackling global homelessness and affordable housing with a 3D printed home that can be built in 24 hours for $4,000.
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