Gavriel Goidel

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Data is the new oil: Rio Tinto builds new intelligent mine
Gavriel Goidel
Last modified on November 12, 2018 at 10:18 pm
An executive "innovation field trip" to America, marked the beginning of a new era for Rio Tinto. That happened merely a decade ago, and now as data turns the new oil, the company must follow its innovative approach and evolve.

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On November 12, 2018, Gavriel Goidel commented on WinSun – Print into the Future :

Zoey – It is interesting to know that the city of Eidenhoven, Netherlands, has signed a contract with the Dutch company Van Wijnen to provide 3D printed housing solution starting next year. It will be very interesting to follow the progress of the project and its implications on the industry and on the local economy.

On November 12, 2018, Gavriel Goidel commented on GE Digital Windfarm – How Machine Learning is Helping GE Renewables Drive Process Improvement :

Thanks for a great read Keith! I wonder if GE is planning to use machine learning is their other lines of business, such as home appliances and aviation.

On November 12, 2018, Gavriel Goidel commented on Artificial Intelligence at Berg: Just another biotech or industry changing company? :

Thanks for a great read. I think that the two things do not contradict each other. The contrary – Medicine can leverage an in-house machine learning capabilities.

On November 12, 2018, Gavriel Goidel commented on Machine Learning for Exploration :

Thanks for a fascinating read. Your article is very well written and organized so nicely as well.
Putting the investor hat on for a moment, I think about the company’s future. Once they’ll achieve a sufficient accuracy rate, would they be able to move on predicting other metals or minerals?

On November 12, 2018, Gavriel Goidel commented on Can Additive Manufacturing become a powerful humanitarian technology? :

Science fiction!! This is incredible.
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You asked “Can 3D printing stretch beyond simply serving immediate relief need?”, and I wondered “should it?”.
I think that immediate, one-off, needs make a tremendous market. Is there a reason the company to move to mass production if tailor-made solutions bring it enough customers?

On November 12, 2018, Gavriel Goidel commented on 2018: A Space Odyssey – How NASA uses Machine Learning for Space Exploration :

Now, that was an interesting read! It is unbelievable that NASA was so innovative to use machine learning decades ago. I can relate to your recommendation. Open innovation and the usage of open source will be the key for NASA development, but I think that NASA should also be proactive and reach out to development communities, offering them to ‘play’ with the data and come up with ideas.

On November 12, 2018, Gavriel Goidel commented on Open Innovation at Nestle – Establishing an extended innovation ecosystem :

With your experience in Mars, I am not surprised that you have chosen Nestle as the protagonist of the post. Remarkable writing, and very insightful. It is so exciting how the wisdom of the crowd can disrupt (or at least – gain a foothold) in almost any industry.

Regarding your question, I was wondering – at what point a company moves too much to the crowd and too much for open innovation, to the extent they lose their drive for solving their own problems? I think that there is a wide range between ‘waiting for startups to come’ and a proactive approach. Yes, Nestle can use the crowd, but it should make sure not to rely on the crowd too much. The crowd is there for the more difficult problems, and for the out of the box innovation.