(Cyber) Sex and Business Intelligence

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At first sex with robots might be considered geeky, “but once you have a story like ‘I had sex with a robot and it was great!’ appear some place like Cosmo magazine, I’d expect many people to jump on the bandwagon,” said David Levy, a researcher at the University of Maastricht in the Netherlands. He […]

At first sex with robots might be considered geeky, “but once you have a story like ‘I had sex with a robot and it was great!’ appear some place like Cosmo magazine, I’d expect many people to jump on the bandwagon,” said David Levy, a researcher at the University of Maastricht in the Netherlands. He recently completed his Ph.D. work on the subject op human-robot relationships called: “Intimate relationship with artificial partners”.
Don’t worry, this blog is still on Business Intelligence, but I have your attention now.
There’s a trend of robots becoming more human-like in appearance and coming more in contact with humans,” Levy said. But it is not so much the ‘mechanics’ of human-robot sex that he is interested in. As software becomes more advanced the relationship between humans and robots also becomes more personal.
In other words, it is not so much about lust but about attraction. He is talking about symbiotic relationships where two unlike organisms live together for mutual advantage. In this relationship something like a dialogue starts to happen. Until now most of this dialogue is one-sided (like a guy talking to his car like she is his girlfriend – Not much of dialogue other than in his mind). However the advances in software programming allow us to make this dialogue more bilaterally (just Google: “ELIZA” + “psychotherapist” and you will see what I mean).
Business Intelligence has also been a one sided relationship. We have used technology to help end users by supplying them with the right information. We gave them cubes and reports and that was that. But the real intelligence does not start until the end user adds his personal skills to the mix. Slicing, dicing and drilling his way towards a decision.
But what if BI exists in a bilateral way? What if it can offer the decision instead of only just the information? What if through a dialogue between the OLAP cube and the Marketing Manager the correct campaign decisions can be made?
This means programming a framework based on the task and responsibilities of the end user. With use of business rules, correlation, regression techniques and all kind of other statistical analysis’s you can create a dialogue with suggestions and propositions.
It will no longer be man versus machine, but man with machine. To me this sounds like a match made in heaven.

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