FEATURE : CIO STRATEGIES
Ben Bromhead , New Zealandbased Chief Technology Officer at Instaclustr by NetApp , takes a look at three trends poised to reshape many more CIOs ’ enterprise analytics practices throughout the second half of 2022 and beyond . enterprise teams . Third , open source communities in the data and analytics space are similarly flexing newfound strengths – emphasizing both the immediate and long-term value of utilizing fully open source technologies in this space .
Let ’ s take a closer look at these three trends poised to reshape many more CIOs ’ enterprise analytics practices throughout the second half of 2022 and beyond .
Enterprise database management systems are benefiting from predictive analytics , powered by Machine Learning
Enterprise technology leaders may well look back upon 2020 to 2022 as especially pivotal years for analytics technologies and practices . A growing number of CIOs are championing transformative analytics capabilities within their organizations that will likely shape prevailing strategies for years to follow .
But for those who haven ’ t , it ’ s certainly not too late .
Three key trends have been coming to fruition this year . Taken together , they are contributing to a sea change in analytics strategy and execution . This is the year that tapping into Machine Learning ( ML ) for predictive analytics within the database has shifted categories , from ‘ emerging tech ’ to an enterprise-grade approach that is ready for prime time .
Second , ‘ data mesh ’ strategies are also proving ready to unlock the full potential of data lakes across
It ’ s no secret that technology leaders have faced challenging limitations addressing the complexity of database management . Utilizing traditional methods , efficient query design requires overcoming an unfathomable range of potential data designs , anticipating data usage patterns that are beyond prediction , and addressing data storage management outside of even the database ’ s purview .
It can be a mess , and even a CIO ’ s most experienced database administrators struggle to achieve optimized queries under these conditions . They do their best to harness the traditional data traffic pattern and storage growth analytics available , but there ’ s clearly been room for improvement .
Machine Learning has proven to have a transformative impact in some areas , whereas others have failed to really demonstrate value . In the past , I ’ ve talked about the potential for ML and AI to have
Three analytics trends that CIOs should embrace right now
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