EDITOR ’ S QUESTION speed that traditional hard disk drive systems and the scalability that network-attached storage systems can ’ t match . We might also see a shift in data and workloads moving away from older , slower storage solutions to these state-of-theart all-flash systems .
And of course , as data volumes grow , the demand for robust data management will rise . This move towards better solutions is happening because there ’ s just too much data and not enough IT folks to keep up . So , automating data management is becoming more of a must-have than a nice-to-have to manage all that data without getting overwhelmed .
Digital Transformation isn ’ t just about jumping on the latest tech bandwagon ; it ’ s the secret sauce that really amps up your business game . Think of it as redefining the whole playbook on how you click with your customers – diving into the data pool to really understand what makes them tick and tailoring your offerings to keep them glued . With all the insights you could want just a click away , you ’ re the one calling the shots , ready to jump on new chances , dodge any trouble and tweak your game plan to get it just right . At its core , Digital Transformation is all about turbocharging your operational capabilities and syncing it perfectly with the market ’ s heartbeat .
For those trying to bring AI into the business mix it has really upped the ante for better data understanding and flexibility . Businesses are gearing up to really get into the nitty-gritty of their data , all to make sure they ’ re giving their AI and Machine Learning tools the cream of the crop in terms of useful insights . As they start weaving AI more tightly into their operations , understanding the finer points of their data is going to be key .
Next , we ’ re right at the edge of a big change in how we store data , mostly because the cost of flash storage is going down . As flash storage becomes more affordable , it ’ s likely to become a staple in object storage set-ups , providing the
Next , as the demand for API access from data management vendors grows , we can expect to see a network of applications that communicate effortlessly with each other . Picture IT Service Management ( ITSM ) or IT Operations Management ( ITOM ) software initiating tasks in other apps through API calls as a response to service requests – this level of integration is set to become the norm . Everyone ’ s really getting behind the idea of putting APIs first , driven by the goal to integrate data management more seamlessly . This is probably going to lead to more self-service apps popping up , which means a lot of the processes will be automated and it ’ ll be a breeze to get to the data management tools we need .
Last but definitely not least , risk management is super important . A lot of attention will be given to governance , risk and compliance as companies try to figure out how to manage all sorts of data challenges .
The biggest obstacle in Digital Transformation isn ’ t just about the tech – it ’ s about having a solid plan that spells out why you need it in the first place , all from a business perspective .
STEVE LEEPER , VP PRODUCT
MARKETING , DATADOBI
22 www . intelligentcxo . com