The answers to business problems, large and small, are there for the taking—right in your organization’s data. Yet, the quantity and types of data available for analysis have outpaced the tools most organizations have been using.
A CIO.com survey found that 85% of companies are using inadequate tools to explore complex data sets. Furthermore, nearly two-thirds of data science leaders surveyed say that data exploration is held back by a lack of data science skills.
While data scientists have been employing piecemeal AI techniques to wrangle their complex data for years, it’s only recently that AI innovation has resulted in technology that brings sophisticated data analysis within reach of analysts.
The answers to business problems, large and small, are there for the taking—right in your organization’s data. Yet, the quantity and types of data available for analysis have outpaced the tools most organizations have been using.
A CIO.com survey found that 85% of companies are using inadequate tools to explore complex data sets. Furthermore, nearly two-thirds of data science leaders surveyed say that data exploration is held back by a lack of data science skills.
While data scientists have been employing piecemeal AI techniques to wrangle their complex data for years, it’s only recently that AI innovation has resulted in technology that brings sophisticated data analysis within reach of analysts.