The beauty of the Xinova model is that problem-solving and idea generation is decoupled from the need to invest capital and run a business… The model appears to be ideal for those who are serial inventors and who wish to remain free to move from idea to idea.”
–Jerry Joynson, Xinova Innovator
With World Cup in full swing, it’s a great time to think about teamwork. As on the field, great inventions result when individuals, united by a common goal, channel their diverse skills and expertise into a cohesive, novel solution. We at Xinova are constantly developing new algorithms that match the right people with the right innovation challenges. You can help us build all-star innovator teams! published in June
Xinova is seeking algorithms to boost our platform’s ability to identify the best innovator talent, within the existing Xinova community and beyond, to team up on innovation challenges. published in June
What happens when 16 teams of business, science, and engineering students get together in the same room with Xinova staff and other leaders of the Seattle startup scene for a life changing business plan competition? published in June
Stop validating innovation on technical merit. If you’re going to innovate, you need to first show there’s a market, explained Brant Cooper, CEO of Moves the Needle, in our conversation at the 2018 IRI Annual Conference in Atlanta about mastering the “can” vs “should” innovation argument.
-Jerry Joynson, Xinova Innovator
Having worked on drilling rig floors and derricks I was always conscious of just how dangerous the working environment is. The insight I gained was that these inherently safer solutions are most often far smaller, have lower life cycle costs and greater running times than the conventional whilst at the same time reducing personnel risks, and I have been pushing this principle whenever possible.”
Innovation Tips: Jerry Joynson started solving problems in the oil industry, and discovered a set of principles that underlie innovation across industries. published in June
A German research team applied machine learning to predict the World Cup winner. And their model’s winner is … Meanwhile, some of the world’s biggest banks have marshalled their strategists’ and analysts’ quantitative skills to published in June predict the winner, and their results are…
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