Three Reasons to Focus on People, Not Machines

Priti Bisaria, Vice President of Marketing and Strategy, Adatao To date, most companies have invested in the storage and compute layers of the big data stack, as seen by the success of companies like Cloudera, Hortonworks, MapR, Databricks, and others. But while enterprises have invested in the infrastructure for storage of their large datasets and there is availability of compute engines to process this data, the need for technical sophistication to get insights from big data infrastructure severely limits the possibilities. Enterprises have had to depend on a handful of data scientists or IT staff to build predictive models and write MapReduce code to discover and deliver hidden value in these datasets. Now, a new generation of companies is making advances in the application layer to democratize access to big…


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