AI & DATA ANALYTICS new robots ? The idea that AI solutions can be bought , plugged in and left to run on their own devices is , frankly , science fiction . AI and machine learning are doing more of the heavy lifting with regards to data science and analytics , but a deep affinity with algorithms and mathematical logic , even when the technology evolves into new areas ( like deep learning and reinforcement learning ), is vital . Data masters need to understand what lies beneath the surface if they ’ re going to make informed decisions about approaches and tools for the problems at hand .”
He advises that it will always be possible to explain data in human terms . “ A data team which can clearly comprehend the complex metrics , maths and logic involved in any AI system is a no-brainer . Cold hard data means nothing if it can ’ t be clearly articulated . Emotional intelligence creates empathy , conversational capabilities and the ability to balance the objectives of being data-powered and being human ,” he adds .
And Zandra Moore , CEO at Panintelligence , adds : “ There will always be the need for people with the skills to analyse complex data and manage evolving data modelling requirements . As technology evolves , the volume of data and its complexity will continue to grow , so data scientists will continue to play a key role for businesses with the data management expertise they boast .”
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