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)

Does the CIA want your geopolitical input? Yes, it actually does!
Matthew Ferguson
Last modified on November 13, 2018 at 11:00 pm
Intelligence agencies are considering open innovation to better predict geopolitical trends and to better respond to the new face of terrorism. Is this a great idea or a misguided attempt at forecasting the future?
How Machine Learning is Helping a Middle Eastern Giant Protect Its Market Share from Amazon?
Jad Sabra
Last modified on November 13, 2018 at 6:03 pm
Overview of the E-Commerce Market in the Middle East (ME): The ME is one the fastest growing e-commerce markets in the world, growing from USD 26.9bn in 2018 to USD 48.6bn by 2022 [1]. This growth in online sales is [...]
Is Addition the New Subtraction at Lockheed Martin?
NotMark
Posted on November 13, 2018 at 2:28 pm
Lockheed Martin is investing heavily in additive engineering now with hopes of leading the industry in the near future.
Rolls-Royce: Optimising jet engine maintenance with machine learning
Chris H
Posted on November 13, 2018 at 6:25 pm
Rolls-Royce is looking to machine learning to optimise how it maintains over 13,000 jet engines currently flying around the world
A Bridg to Nowhere?
anonymous123
Posted on November 13, 2018 at 7:13 pm
In a world where Amazon seems unstoppable, traditional brick-and-mortar retailers are pinning their hopes on Bridg, a company with thirty employees and one powerful algorithm.
“Creepy”: When Big Tech Personalization Goes Too Far
Dominic Marrone
Posted on November 13, 2018 at 6:21 pm
As machine learning drives advances in personalization, do firms have the controls in place to protect consumer privacy? Can this be done without stifling innovation?
Using Machine Learning to Combat Deforestation
Ratnika Prasad
Posted on November 13, 2018 at 2:42 pm
How an organization is using old cell phones and machine learning to fight illegal logging
The Bouygues Group: will additive manufacturing disrupt the construction industry?
Justin O
Posted on November 13, 2018 at 4:06 pm
The Bouygues Group recently partnered with Nantes University to create one of the first 3D printed homes. How will additive manufacturing affect the construction industry going forward, should incumbents be worried, and what can they do to defend against these [...]
🍕 Pizza & 🤖 Robots: How Zume will change future meal consumption and the food supply chain
Nancy Dong
Posted on November 13, 2018 at 5:50 pm
A robot throws on your last mushroom and pepperoni toppings before whisking your pizza into an oven in a delivery truck -- after some driving, the oven senses when your pizza is done, and cuts your pizza into perfect slices... [...]
Volition: Crowdsourcing Innovation in the Beauty Industry
Tasnia Huque
Last modified on November 15, 2018 at 10:50 am
Meet Volition: democratizing beauty products to cater to a global and diverse community whilst reducing research and product development costs through the power of open innovation.
Digital Oilfield: Paving the way to solving the imminent global energy crisis? Is it ready?
Mohamed Elshorbagy
Last modified on November 13, 2018 at 3:58 pm
Exploring the potential of the Digital Oilfield in revolutionizing the oil & gas and energy industries.
Printer-to-Table: The Next Food Movement?
CL
Last modified on November 13, 2018 at 5:44 pm
Will 3-D food printers become the next household kitchen device?
Shooting for the Stars
E.T.
Posted on November 13, 2018 at 8:00 pm
A Look at How NASA is Using Open Innovation to Solve Lofty Challenges
Amazon Go: The Future of Retail?
MN
Posted on November 13, 2018 at 7:54 pm
In 2018, Amazon launched Amazon Go, a brick-and-mortar store powered by machine learning - with no checkout lines or cashiers. Is this the store of the future?
Realizing the Promise of Additive Manufacturing at Boeing
NA
Posted on November 12, 2018 at 6:57 pm
I spent 6 years in the Propulsion Product Development (PD) team at Boeing. During this time, additive manufacturing (AM) has gained recognition as a technological solution that could significantly improve product development cycles, design and manufacturing at Boeing.  While Boeing [...]
From the #1 CRM to the smartest CRM: How Salesforce is bringing machine learning to the world of sales
JT
Posted on November 10, 2018 at 11:12 am
Salesforce is changing the game of sales again with its predictive intelligence system "Einstein" that helps to boost the efficiency and efficacy of sales representatives. Learn how the company is innovating on this front and applying machine learning solutions to [...]
Predicting loan repayment rates for unsecured loans in Uganda
Satomi
Last modified on November 13, 2018 at 5:33 pm
Using machine learning to gauge small business owner's credit worthiness to provide unsecured loans. Real application limited by small sample size. Basic statistical analysis could be more useful than complicated predictive analysis for small data sets.
Is the Future of Food Blockchain?
Lettuce Be Safe
Last modified on November 12, 2018 at 7:14 pm
It seems like every week there is a new food scare. Walmart is trying to fix this using Blockchain!
Is SigTuple positioned to disrupt medical diagnostic space in India: Can Data become Doctor?
live4ever
Posted on November 13, 2018 at 5:40 pm
With AI and machine learning overtaking every facet of millennial industry revolution, Healthcare AI application has far-reaching potential. With advances in image recognition, improvement in robotics, Medical startups are revolutionizing the diagnostic space but are we ready for such a [...]
H&M Bets Big on Machine-Learning to Survive
TinaB
Posted on November 13, 2018 at 7:12 pm
In an effort to come back from its multi-year slump, H&M is turning to machine-learning. Is machine-learning the answer to H&M's problems and is it too late?
Toronto Raptors: Machine Learning as a Method for Improving the Roster Decision Process
Bo G
Posted on November 13, 2018 at 5:22 pm
In the competitive world of professional basketball, organizations such as the Toronto Raptors are turning to AI to improve the roster decision process in order to gain a competitive advantage in the race for a championship team.
The Missing Piece: How Lego Found Open Innovation at a Critical Time
thisisapseudonym
Posted on November 13, 2018 at 6:28 pm
Lego was facing financial distress in the mid-2000s. In this time of turmoil, it turned to open innovation to restart its business.
Machine Learning and AI Impacts on the Financial Markets
M
Posted on November 13, 2018 at 7:55 pm
How do investors find and capitalize on alpha generating investment ideas in the stock market when competing with machines that are trading on data in microseconds?
Carbon Lighthouse: Illuminating Energy Savings with Machine Learning
BlueSky
Posted on November 13, 2018 at 4:50 pm
Carbon Lighthouse delivers 20-30% energy savings to their clients using a cloud-based, machine-learning AI.
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