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Competitive intelligence based approach

Competitive Intelligence-based Lead Generation and Fast Follower Approaches... [Pg.183]

Many recent publications from the field of Cl are based on a competitive mindset and aim at ultimately replacing experiments with computations. In our experience, this rarely ever happens. Instead, computational approaches are typically seen as additional and complementary sources of information that can in some cases be used to prioritize experiments or to move experiments to a later phase. Thus, we expect of lot of impact from methods that combine and integrate computational and experimental approaches in intelligent ways. To achieve this. Cl researchers will have to embrace experimental errors and uncertainties, but also biases and simplifications inherent to in silico methods. Along these lines, computational methods could, for example, be used to explain why certain experiments fail or generate inconsistent results while tailored experiments could be performed to derive correction factors for certain computations. [Pg.316]


See other pages where Competitive intelligence based approach is mentioned: [Pg.21]    [Pg.185]    [Pg.185]    [Pg.189]    [Pg.195]    [Pg.197]    [Pg.21]    [Pg.185]    [Pg.185]    [Pg.189]    [Pg.195]    [Pg.197]    [Pg.17]    [Pg.184]    [Pg.23]    [Pg.94]    [Pg.107]    [Pg.171]    [Pg.996]    [Pg.95]    [Pg.84]   
See also in sourсe #XX -- [ Pg.184 , Pg.185 , Pg.186 , Pg.187 , Pg.188 , Pg.189 ]




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1-based approach

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