DATA & ANALYTICS
“ With data sets going back years , it ’ s only possible to really leverage all of this data with data science and machine learning as a helping hand ”
DAVID SEMACH PARTNER AND EMEA HEAD OF AI AND AUTOMATION , INFOSYS
science and the employment of associated data scientists . Machine learning is the backbone of data science , so data scientists need to have a solid grasp of this technology , along with a basic knowledge of statistics . Modeling is also part of machine learning and involves identifying which algorithm is the most suitable to solve a given problem and then to train these models to do this going forward . As well as this , some level of programming is required , the most common of which are Python and R . Python because they are easy to learn and support multiple libraries for both data science and machine learning . Finally , data scientists need to
understand how databases work , how they are managed and how the data is extracted from them .
Growing trends Rajasekar Sukumar , VP Europe at digital engineering and enterprise modernisation partner , Persistent , says one growing trend is edge analytics and he predicts the technology will make its way into the mainstream within the next two to three years .
“ Every modern business has the ambition of being data led , meaning vast amounts of data is being accumulated . All of this
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