When we are able to reach that objective, the industry will finally have the capabilities to innovate and transform, referring to the last items Michael presented.Īs a solution provider/partner, it is always great to see that the strategy you have set out is really aligned with the vision of these KOL’s. To quote the words of Louis Halvorsen, keynote speaker from NorthWest Analytics “It is not the numbers that are valuable it is what you do with them”. That end-game is truly about applying analytics and predictive modeling to the data that has been generated. Rather than saying I need an ELN, SDMS or LIMS, look at the problem you have and then you can better assess the informatics solution best suited to address that need.īoth Michael and Peter agreed that the end-game is something that we should all keep in mind. In the upcoming years the prediction is that more devices will become “smart” not only by being able to connect to existing laboratory informatics systems but also to provide more metadata of the circumstances in which a specific datapoint has been generated resulting in an Internet of Laboratory Things (IOLT).Ī second take home message from Peter in this case was not to think about the product to accomplish a task but more about the problem. In the laboratory however, most of the devices that are being used are not “smart” devices.
Data nowadays is being generated everywhere with more than 8.5 billion devices connected to the Internet (IOT). The first item Michael presentation highlighted in his presentation was the needs to connect.
These themes and messages connected very nicely with the topic of our workshop which was one of the 20 solution provider workshops featured during the two-day conference. I still have the words they mentioned several times buzzing in my mind “connect, collect, mine, model & simulate'. Peter Boogaard (Lab Automation) and Michael Shanler (Gartner) set the stage for the event –they both talked about the transition from the physical to the digital world.
0 kommentar(er)
