Viria Vichit-Vadakan's Profile
I really enjoyed reading your piece Tasnia! Open innovation is quite powerful in both it’s product innovation and also harnessing customer relationship. I thought it was quite a clever move from Volition to crowd source their creation to the public. One question that I was thinking about while reading is whether there are challenges for the company around implementing the ideas, since sometimes ideas especially from crowd sourcing are generating without the understanding of perhaps the company’s execution limitations. We share quite a similar interest on open innovation, would love to discuss more!
Jordan thanks for sharing a very interesting and important piece! It’s great to see how 3D printing is having an impact on the healthcare industry particular in your case being used for orthopedic surgery practices. With its application, I’m quite curious to know more about the scale and adoption of the technology, what’s the patients point of view, how they perceive the technology? And also, get a better understanding of how this can be applied to other areas in healthcare.
Great article! Thank you for sharing. I was able to learn a lot about additive manufacturing and Nike’s role in utilizing this technology. I also appreciate your analysis on the challenges that today’s company will encounter like Nike with fierce competition, management of complex supply chains, and rapid changes in consumer preferences, which makes the role of 3D printing and rapid prototyping important to stretch Nike’s innovation capabilities in a way that is at the same time cost effective. While thinking about the concerns you’ve raised around Nike’s narrowed focus on its target customer and the need to perhaps follow Adidas’ playbook’s although I agree with you that it will be a good area to expand to. I’m curious to get your perspective the execution side.
Chris, thank you for sharing such an important piece on Proven. I really enjoyed reading your article! It’s a good sign that the beauty industry is putting more emphasis on not just the aesthetics but also the health perspective of customers, and also leveraging big data to better understand their customer’s skin conditions–correlating that data with personalized ingredient. I completely agree with your analysis around the limitation of data although there are many benefits when it comes to skin a broader set of data also should be explored to understand consumers life styles in order to generate even better recommendations. One thing I wonder and would like to hear your views more is around consumer adoption? How much do consumers take the recommendations after the company has generated its suggestions for products, and what is the level of trust that happens?
Mike, thank you for sharing this very important piece! It’s great to learn how machine learning is being used in the financial services industry, an industry that is highly susceptible to fraud activities. The focus of highlighting First Data use of technology to protect merchants from fraud losses was very interesting. A great example of a company having an access to such a large data set and was able to make use of its 6 million company customer data set. I’m curious to hear about your thoughts of other industries or even specific companies that would benefit from First Data’s capability around machine learning and big data–even beyond the usage of combating fraud. Thanks again for sharing!