AI & DATA ANALYTICS
“ The idea that AI solutions can be bought , plugged in and left to their own devices is , frankly , science fiction ”
ZHIWEI JIANG CEO OF INSIGHTS AND DATA , CAPGEMINI
needs to be done . The fact is data is growing . Figures released by IDC indicate that by 2025 , the amount of data will double every 12 hours . This growth is set to continue with new forms of collection , such as natural language processing ( NLP ) which is beginning to have tangible effects .
Structural importance However , a growing slice of the data pie is currently ‘ unstructured ’ and non contextual .
Consequently , this type of data has to be processed through a human brain . But now artificial intelligence and machine learning are gathering pace and becoming even more capable of analysing unstructured information .
Chris Stephenson , technical director at Sagacity explains : “ AI and machine learning have great potential for driving use of data analytics across a business , for example , identifying your most valuable customers , as well as those who are vulnerable and could require assistance .”
However , he warns that you can ’ t hit the ground running straight away . “ Before a business can successfully use AI for data analytics , it must first understand what data it has within the organisation and to which situations the data can be applied . Many
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