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Co-Session #27 on AI for Business (II): Turning participants into neurons

BY INFONOMIA on 03 / 02 / 2017

As is usually the case at each of our events, there was also time in our Co-Session on AI for Business to work in groups. But this time we appropriately wanted to use AI to connect participants innovatively using a specially-developed algorithm which allowed us to see the “distance” or “closeness” between each of them considering the terms used in their LinkedIn profiles describing their professional and personal backgrounds.

Co-Session #27 (I): Artificial Intelligence for Business

BY INFONOMIA on 20 / 01 / 2017

AI is now among us and the question is not whether companies will use it in their operations or as the basis for new business models, but when they are going to do it and in what way. Our last Co-Session sought to explore the answer to these questions and show at first hand cases in which Artificial Intelligence is applied to the world of business.

What HBR learned about managing cross-industry teams from successful co-innovation projects

BY INFONOMIA on 06 / 01 / 2017

A few months ago, a Harvard Business Review issue presented as its main theme a series of articles about Managing Teams. Considering how Collaboration and Co-innovation have become hot topics in business management, it was not surprising that the main article was about how to successfully manage cross-industry teams

Data philanthropy: When Big Brother turns out to be a nice guy

BY INFONOMIA on 22 / 12 / 2016

Data philanthropy describes a form of collaboration in which companies and businesses share their proprietary data for the communal good. But writing about philanthropy in Christmas time is just an unintentional coincidence. As other collaboration trends in the corporate world, data philanthropy could also make good business sense.

If data is the new oil, shared data will become the new gold

BY INFONOMIA on 09 / 12 / 2016

Business operations are becoming too complex for trying to respond to new contexts by oneself. Data analysis is not an exemption. The capability to collect, access, and analyze massive amounts of data has reached the point where no single entity can do all the work. Data collaboration is becoming a necessity.

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