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Vertica are leading the revolution . There are a whole bunch of technologies , applications , databases , storage components and other data ‘ things ’ involved that ingest data from diverse sources , but it ’ s easier to understand it better through examples .
Imagine an Australian telco wants to quickly pull up every single transcript of customer service calls and web chats that have occurred in the last year to assess key issues , customer sentiment and the effectiveness of the company ’ s response .
A human would take years to do that , whereas an older IT system might take days , weeks , months or be unable to do it at all . If it could , it would also come at enormous cost in both real terms and to the IT capacity that telco needs for a range of business functions .
The right data lakehouse with a touch of AI is pulling up that data and querying the issues , sentiment and response in minutes , at little financial or resource cost . Business leaders can look at it , think ‘ huh , interesting ’ and make some real decisions based on it . The IT team can move onto the next query .
But as with all things technology , and particularly our data , issues like security and sovereignty must be top of mind .
The advent of AI , data lakehouses and everything that comes with them means that more and more data is going to be pulled up , analysed , and shared within and between organisations .
Data is the crown jewel cybercriminals are after and organisations need to be careful about where that data is stored , who has access and where and how it ’ s backed up .
These technologies are only going to increase the value of our data and it ’ s already any organisation ’ s most valuable resource . That means ransomware gangs will demand even more in ransom to release data they can hack .
There are compliance standards to be mindful of too , such as the OAIC ’ s Consumer Data Right system which requires businesses to follow strict information security requirements around governance , minimum
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