The Future of Data Management: AI-Powered Backup and the Rise of Self-Driving Data
In today’s digital age, data is more valuable than ever before. With emerging technologies on the rise, data is increasing at an exponential rate, posing a new challenge for today’s data management professionals. However, it’s not just the volume of data that’s the issue, but also its complexity. The sprawl of data from multiple clouds, databases, apps, and devices is becoming progressively more complex to navigate. As a result, traditional policy-based backup methods are no longer sufficient, and a new approach to data management is necessary.
The Importance of Data Management
Data was declared more valuable than oil last year, and this resonates even more today given the current state of the world oil markets. Organisations are doing everything they can to make the most of the data they have available to them. According to the Veeam Cloud Data Management 2019 report, 90% of organisations are planning to deploy a Cloud Data Management strategy in the next 12 months. For many of these organisations, AI is a key component of this strategy, allowing them to capitalise on data and protect it as well.
The Limitations of Traditional Backup Methods
Traditional policy-based backup methods don’t truly automate tasks; they merely execute set scripts. This means that IT professionals must constantly oversee each and every action, updating policies with new rules and checking for policy clashes. This approach is not only time-consuming but also prone to errors. In addition, traditional backup methods do not take into account the complexity of modern data environments, which are becoming increasingly diverse and dynamic.
The Future of Data Management: AI-Powered Backup
The new approach to data management must evolve from policy-driven to behavior-driven, with built-in machine learning and artificial intelligence to keep getting smarter about what actions to take. This means that data backup should not be about mechanically copying data at prescribed intervals but rather about responding to what actually happens in the system. For example, when malware crosses the network, the system takes a backup of the data immediately prior to intrusion. Or the system sees that the change rate in a particular dataset goes up from 5% to 50% per day, so executes a backup just prior to the change.
The Advantages of AI-Powered Backup
Leveraging AI to turn policy-based backup into behavior-based backup will bring several advantages. Firstly, it will improve the responsiveness, security, and business value of data while reducing the cost and time that humans spend on managing and storing data. Secondly, an AI-powered system can actively gather and analyze tasks, reallocate resources, and adapt to different methods to complete the task within the SLA (service level agreement). This means that instead of blindly following scripts, an AI learns to deal with your data to achieve the SLA. Finally, self-driving AI backup will understand the environment it is acting in, from resources to performance of these resources. It is therefore able to predict better ways to adapt to new tasks.
The Changing Role of IT Professionals
This change is significant because it is much “smarter”, but this also changes the job nature of the IT professional. For the most part, an AI-powered system doesn’t give notifications until the task is complete. The IT professional’s role goes from an executor to a manager of the self-driven AI. Instead of being bogged down in execution, IT professionals can work on improving the overall efficiency of the backup and storage system. On top of that, AI can conduct more analysis on more data to help better inform the decisions for the organisation of data.
The Future of Innovation in Data Management
“Innovation” is the only constant in the current world of IT, and IT professionals are in a constant flux of new learnings and technologies which require them to change from mundane to strategic work operations. AI backup will allow the IT administrator to make sound decisions and constantly innovate to improve and intelligently manage the organisation’s data. In the increasingly competitive business landscape, organisations who adopt these principles will be able to manage data better and thrive.
Conclusion
In conclusion, traditional policy-based backup methods are no longer sufficient for managing today’s complex data environments. AI-powered backup offers a more intelligent, responsive, and adaptive approach to data management, allowing organisations to improve the business value of their data while reducing costs and improving security. The changing role of IT professionals from execution to management and the constant innovation required in the field of IT are significant factors that must be taken into account when implementing AI-powered backup solutions. As the importance of data continues to grow, organisations that adopt these principles will be well-positioned to thrive in today’s rapidly changing business landscape.