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

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Submitted (926)

El Bulli: It Could Be More Than Foams and Olives
Foamy Olive
Last modified on November 15, 2018 at 3:52 pm
Explored machine learning applications in fine dinning restaurants.
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.
Rise of the “Robo-Advisor”
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Posted on November 13, 2018 at 6:30 pm
Would you trust a robot to mange your money? That may be where some firms are headed.
Soft robotics – How 3D printing enables technological advancements to explore oceans and save lives
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Last modified on November 13, 2018 at 5:34 pm
Additive manufacturing enabled soft robotics - Robots exploring the depths of our oceans or performing life-saving surgery: Near-time reality or vision of a far-off future?
Alexa, What’s in my Wallet? Open Innovation at Capital One
Dave Colletta
Last modified on November 14, 2018 at 3:42 pm
In an effort to spur innovation, Capital One has opened up access to its data for external developers via API. To what extent can they shift toward the business model of technology platform, and what organizational changes will they need [...]
Adding Value In Nike’s Production Line
kdumont
Posted on November 13, 2018 at 7:12 pm
With Nike pushing Flyprint, Adidas working with Carbon 3D, and New Balance tapping into Formlabs for partnership, why is this seemingly commoditized footwear market looking to 3D printing?
How Instagram is Implementing Machine Learning to Help W/ Cyber Bullying
blovell
Last modified on November 13, 2018 at 8:39 pm
Instagram strives to irradiating cyber-bullying by leveraging machine learning.
Where is Alpha? – Machine Learning at D. E. Shaw
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Posted on November 13, 2018 at 12:01 am
Can machines outsmart humans in the market? D. E. Shaw believes they can.
ETSY – “Keeping Commerce Human” through Machine Learning
hb178
Last modified on December 5, 2018 at 12:12 pm
How will Etsy use machine learning to retain customers in a sea of mass produced products?
Will the Sport of Football Survive? VICIS Says Yes.
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Last modified on November 13, 2018 at 2:54 pm
Can additive manufacturing help a helmet company named VICIS save the sport of football from going extinct?
When HHS becomes iOS: Harnessing Open Innovation to Combat the US Opioid Crisis
Justin Mundt
Posted on November 13, 2018 at 7:39 pm
Can same approach that delivered an open source operating system and the free encyclopedia help address the opioid crisis?
Symantec: Using Machine Learning to Improve Malware Research
Andrey
Posted on November 12, 2018 at 7:18 pm
As cybercrime grows, the defenders found a new tool for their arsenal: Machine Learning. Symantec implemented a creative approach that harnesses the power of ML to detect sophisticated actors in cyberspace.
Will IBM’s Deep Thunder Finally be the Key to Accurate Weather Forecasting?
xo xo Gossip Girl
Posted on November 13, 2018 at 3:07 pm
Traditionally, government organizations (NOAA) and private companies (the Weather Company) have collected massive amounts of data via satellites and sensors, but weather forecasting models have had mixed success. IBM’s purchase of TWC in 2016 combines this data with a refined [...]
Machine Learning at Amazon: Will Amazon Go Reinvent Retail?
EL
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 [...]
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.
User Centric AI: Can Samsung be a game changer for the AI industry?
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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 [...]
Machine Learning at Toppr: Is Personalised Learning the Way Forward?
Puja Verma
Posted on November 13, 2018 at 7:21 pm
Toppr, online tutoring platform in India is innovating by using data and machine learning to create a personalised learning platform for K-12 students. What are some of the issues they are facing, how have they solved it and what is [...]
Future of fragrance: Can AI disrupt an industry that is at the intersection of both art and science?
gcakil@mba2020.hbs.edu
Posted on November 13, 2018 at 5:47 pm
Perfume is an individual's most personal choice, and many dare to call this industry an art rather than science. Could this be why machine learning will bring tremendous value?
Aetna: Artificial Intelligence Goes After Health Care Fraudsters
PM
Last modified on November 12, 2018 at 11:28 pm
US health care payers lose billions of dollars per year to insurance fraud, waste, and abuse. Payers turn to machine learning to revolutionize outdated manual review processes and improve the bottom line.
Additive Manufacturing at Porsche
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Last modified on November 4, 2018 at 8:50 pm
A look at the role of 3D printing in the future of Porsche
Machine Learning at Disney: Solving Happiness
Jane Doe
Last modified on November 8, 2018 at 12:40 am
In the fiercely competitive entertainment industry, Disney is using machine learning to predict what will bring us joy
Using Machine Learning for Crime Prediction
Amina E
Posted on November 13, 2018 at 7:19 pm
Police departments are increasingly using predictive algorithms to determine "hot spot" potential crime areas.
WAKE COUNTY USING MACHINE LEARNING FOR PROPERTY APPRAISAL
celesteheart
Posted on November 13, 2018 at 3:51 pm
Wake County in North Carolina has implemented machine learning to improve the property value assessment process, something extremely important for tax purposes. The new assessments will be effective in 2020 and will be the result of a new process that [...]
Can it be? A Solution to Lack of Innovation in the Engineering and Construction Industry……….?
JC
Last modified on November 12, 2018 at 8:20 pm
I took a look at the additive manufacturing processes that AECOM was trying to capitalize on.
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