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Technology, Design, and Innovation strategist at the Office of the CEO, SAP,  focusing on technology and architecture strategy and strategic operational, product, and management innovation.  Adjunct faculty at Santa Clara University and San Jose State University with the department of computer engineering teaching graduate classes.  Frequent speaker at conferences, special events, Chirag blogs at Cloud Computing.

2 responses to “Data Is More Important Than Algorithms”

  1. Troy McConaghy

    Without a way to use it or make sense of it, data is useless, regardless of how much you have. The goal is always to build a model.

    “The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena [i.e. data]. The justification of such a mathematical construct is solely and precisely that it is expected to work—that is, correctly to describe phenomena from a reasonably wide area.” – John von Neumann

    You’re right that data is critical, but how do *you* use it to build a model?

  2. Frank

    This is a breathtakingly stupid article. Larger data sets are useless without faster algorithms to exploit them and those faster algorithms are simple to implement if you hire the right people.