TRENDING
Edge Computing must therefore be seen as an enabler that can propel any organisation , regardless of its industry sector , into a future where customer-centricity is at its core . As businesses continue to evolve , placing customers at the forefront will remain critical . Being able to stream data and pulling real-time insights will be crucial in this regard .
AI everywhere
“ Being able to integrate AI in a business-relevant context within the organisation will result in increased productivity , consistent messaging , round-the-clock availability and personalisation . Even so , human intelligence will remain a fundamental component in this regard . People will remain responsible for building , training , monitoring and managing AI tools . This means that human oversight will be a critical element of how successful AI can be in the organisation ,” said Bartsch .
AI ’ s ubiquitous nature continues to grow . From customer support where AI can provide accurate responses to standard queries to data analysis , where the technology can be used for data cleansing and to identify errors in datasets , the potential of this is virtually limitless .
Looking ahead to 2024 and beyond , data literacy will become a universal language , essential for all . Data governance and security will be imperative due to regulatory requirements . DataOps will gain traction for its automation and efficiency . Near real-time insights will be enabled through data stream processing , and AI will become an integral part of the business landscape .
Data literacy will become a universal language , essential for all .
“ However , the cornerstone of all these trends remains quality data . A well-architected modern data platform , best practice data engineering , and skilled data specialists are crucial for the success of these activities ,” concluded Bartsch . p
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