Automate analytics with Machine Learning to Pave the Way for DigitalizationDigital business is not only transforming how business will be done but the way IT organizations need to support the business. While downtimes have always been costly, downtimes in a digital world will become even more impactful to the business in terms of magnitude and speed of how fast it happens (without warning). Digital business comes with an increasing amount and complexity of data —traditional structured data will now be supplemented with unstructured data (text, audio, video, social, sensors, etc.). This means more and more data will be accessible to IT than before. Smart organizations will derive value from all this data and use it to gain a competitive advantage.
It will be humanly impossible for IT organizations to analyse all this data manually. In 2015, we will become more dependent on machine learning and automated analytics engines to manage and monitor our services, instead of the traditional model of looking for pre-defined patterns or events and then reacting to them. Machine learning technologies will constantly scan huge volumes of data in order to find problems we never anticipated and prevent them from ever occurring. We will use sophisticated analysis tools to discover trends and relationships between our IT system data and business information that we could not see before. With valuable insights derived from the data, IT organizations can then quickly adapt to changing conditions and support the digital transformation of the business enterprise.
Senior Vice President and General Manager, BSM