Intelligent CIO Europe Issue 14 | Page 45

///////////////////////////////////////////////////////////////////// to the business needs. It will also be able to move and analyse data based on an organisation’s network, storage and user patterns, and work out the best order and times of when to move data. AI will also allow organisations to use intelligent software to move away from cumbersome, tedious, error-prone and time- consuming rule-based policies to setting goal- based policies. Rule-based data management policies typically rely on a human to predict every single eventuality and program a rule for it. Moving to goal-based policies, where intelligent software works out the appropriate way to achieve them, would ensure IT is in control of the outcome without the manual heavy-lifting and errors associated with the rule-based approach. www.intelligentcio.com FEATURE: DISRUPTIVE TECHNOLOGY In addition, organisations can benefit from the improved search and discovery that AI can deliver. A significant roadblock to the adoption of Big Data has been the difficulty in finding the right datasets to analyse, with data strewn across billions of files and different storage silos, both on premises and in the cloud. AI can drive efficient search and discovery of data to help extract value from it more efficiently, even at today’s massive scale of data. With AI, intelligent software can pull information from a much wider data lake, no matter where it is stored. In essence, AI enables businesses to efficiently handle the massive onslaught of data by creating intelligent automation that learns from the unique patterns in the data and the environment of each business. Therefore, AI has the potential to significantly transform the economics and the value of data management at massive scale. It’s true that not every company can be an Uber or Airbnb, but every business can be transformed. So perhaps it’s time to evolve the way we see disruption, because disruptive technology, when applied through transformation, can help to elevate organisations. The transformative effects of AI and ML in data management will allow businesses to become more agile, adaptable and efficient. Data can drive business decisions and being able to leverage the benefits of an innovative data management platform will help to give organisations a competitive edge. n INTELLIGENTCIO 45