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RC TOM Challenge 2018

November 13, 2018

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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://d3.harvard.edu/platform-rctom/how-to/.

Submitted (926)

Virgin Hyperloop One: Will Open Innovation Lead to Its Reality?
Elon Musk
Last modified on November 13, 2018 at 1:15 pm
Virgin Hyperloop One leverages open innovation to push product development and commercial feasibility forward. But how sustainable is their approach?
Data – The Farmer’s New Edge
SL
Posted on November 13, 2018 at 3:29 pm
Farming is a centuries-old industry that continues to play a pivotal and understated role in the landscape of today's society. Modern agriculture companies are turning to big data to innovate the farming process and make it sustainable for the future.
The (Green) Robot Revolution
Akash Nandi
Posted on November 13, 2018 at 6:15 pm
John Deere Leaps Into Silicon Valley to Feed the World.
Can ML replace Human Resources?
M Williams
Last modified on November 13, 2018 at 3:12 pm
With $40 million dollars in venture backing and over 20% of Fortune 100 companies asking to use their product, will Humu, an enterprise relationship management system, make a lasting impact in the move to bring technology into HR functions?
Your Cells for Sale
Parker Davis
Posted on November 12, 2018 at 10:05 pm
Memorial Sloan-Kettering Cancer Center: On the Cutting-Edge of Cancer Care
Open Innovation at General Assembly
Ennis Ruderman
Posted on November 12, 2018 at 2:49 pm
General Assembly utilizes an open innovation network of employers and students to develop coursework and constantly expand their innovative online curriculum
Fitbit: Will Machine Learning Help Fitbit Change Consumer Health and Regain Leadership in Tech Wearables?
Jake Chouinard
Last modified on November 13, 2018 at 6:43 pm
Fitbit has recently been passed by Apple as the leader in tech wearables. In response, Fitbit has been shifting its strategy towards Healthcare aided by the use of machine learning to develop new product offerings. Will this change be enough [...]
Doctors in china leverage machine learning to improve efficiency and effectiveness
nerdpride
Posted on November 12, 2018 at 10:06 pm
How doctors push AI startups to innovate in medical field.
Uber: Future challenges in the era of AI and ML
mthai
Posted on November 12, 2018 at 8:59 pm
Uber has been successful in implementing machine learning to solve critical business problems and bridge the gap between the physical and digital world. Claiming itself a technology platform, Uber collects a huge amount of data from both drivers and riders [...]
Smarter Eating, Smarter Fitness: AI supports your goals
Choplife
Posted on November 13, 2018 at 7:47 pm
We eat and exercise and hope to stay fit. MyFitnessPal takes the guesswork out of the equation so you can get the results you want.
Betabrand: Wearing Product Development on its Sleeve
retail1992
Posted on November 13, 2018 at 5:50 pm
Crowdsourcing product design and feedback to drive innovation in a rapidly evolving retail landscape
D.E. Shaw: Double Down or Diversify?
tommac
Posted on November 14, 2018 at 10:25 am
D.E. Shaw has been a pioneer in quantitative investing since it was founded in the late 80s. Since then, it has focused its efforts on machine learning and other AI-based investment strategies.
User Centric AI: Can Samsung be a game changer for the AI industry?
Disneyinnovation
Last modified on November 13, 2018 at 8:00 pm
Samsung didn’t invent the mobile phone, but it took a transformative innovative technology and ran with it. Innovation is not just about something new, but it can also be about doing something better. Samsung is a latecomer in the AI [...]
Driving the Growth of Solar Energy Through Machine Learning
Trevor
Posted on November 13, 2018 at 5:45 pm
kWh Analytics, a data analytics start-up based in San Francisco, CA, is trying to lower the cost of solar energy through machine learning. Is it developing the right product?
Project Maven: Machine Learning in the Military Target Selection Process
Felicity Jones
Posted on November 13, 2018 at 8:05 am
Is using Artificial Intelligence in military applications evil? Are programs like Project Maven necessary to decrease civilian casualties and reduce error in an era with "smart" drones and other advanced weaponry?
Open Innovation Driving Growth at Alibaba
EP
Last modified on November 15, 2018 at 12:08 am
As Alibaba Group grows domestically and internationally, the company needs to combine internal and external intelligence to enhance both industry knowledge and technological capabilities. How is the company leveraging open innovation? Would you be willing to become a part of [...]
A Tech Titan in Healthcare: All Eyes on Deep Learning
Jennifer Yang
Posted on November 13, 2018 at 3:26 am
In the realm of deep learning, your eyes can be a window to your health. Google aims to leverage machine learning for high tech healthcare solutions.
The Ma in Machine Learning
Christie Klauberg
Last modified on November 12, 2018 at 10:38 pm
Machine Learning and AI in E-Commerce Jack Ma’s Alibaba has been at the forefront of innovation since its founding in 1999 from an apartment in Hangzhou, China. Alibaba’s original but lasting mission has been to connect buyers from around the [...]
Unlocking Efficiency Gains Through AI: Shell and Machine Learning
NAT2102
Posted on November 13, 2018 at 2:35 pm
Machine Learning has the potential to create billions of dollars of efficiency gains for oil and gas companies. Shell is the first big company to take the plunge. Will they succeed?
Will 3D Printing Change the Future of Homebuilding and End Global Homelessness?
res0430
Last modified on November 13, 2018 at 7:43 pm
This 3D-printed home could be the dramatic solution we need to address affordable housing.
This hospital network in India has deployed IBM’s Watson to help diagnose cancer. Will it work?
Spangler
Last modified on November 13, 2018 at 7:24 pm
Will developing countries with lack of data and problems of affordability be able to benefit from AI in healthcare? And how?
Open innovation in the Public Sector: The Argentinean case
NM
Posted on November 11, 2018 at 9:35 pm
While governments have to deal with many of the most pressing issues of our era, their organizations are often not prepared to nurture innovation and implement disruptive solutions. To make things worse, most governments are not able to pay competitive [...]
Machine Learning vs Poachers
Jack Ma
Posted on November 13, 2018 at 7:56 pm
By using machine learning rangers of Uganda Wildlife Authority try to predict the next attack of poachers
Streamlining Humanitarian Aid with Additive Manufacturing at Oxfam
Probably Alex
Posted on November 14, 2018 at 10:25 am
After the devastating Nepal earthquake, Oxfam used 3D printing to provide faster aid. This post explores that example as well as the other ways that 3D printing can revolutionize the supply chains of humanitarian organizations.
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