Bridging the gap between data science and business
In my last post, I talked about the two criteria to benefit from Data Science. The first is to identify well-defined problems that can be solved by AIML, second is to get buy-in from stakeholders.
Businesses can drive immense benefit from defining the strategy based on the data insights provided by the business leaders and the data scientists work hand in hand. To achieve this both parties need to learn to understand the other’s language. The business leaders need to understand the basic concepts of Data science to set the course of the Data strategy. Data scientists need to understand the business domain fundamentals to translate the meaning of data values and findings. When both the parties have gone the extra step to learn the basics of the other faculty, the whole team working in tandem can make significant progress.
93% of high-growth companies with double-digit organic growth plan to implement AI into their business within the next one to three years, but 94% of enterprises struggle to understand how to implement AI in their organizations. In order to avoid this, start learning a new language!
