The bots are coming and having borne witness to at least Six Terminator movies, you are understandably terrified. Not only are marketers ensuring you that these learned machines are going to automate your training so effectively that you may no longer need employees, but they have the gall to hide it all behind acronyms like AI/ML. Never fear, Dr. Allen Partridge, Head of Evangelism for Adobe Digital Learning Products is here to gently walk you through the future tech forest, carefully sorting out the helpful modern miracles from the dystopic fantasies. In this session, you will learn: What can you actually do with AI/ML today? What kind of problems are best suited for AI/ML?

"Businesses are having to spend as much as three-quarters of their total database management cost on labour" Humans are now generating an estimated 2.5 quintillion bytes of data every single day, with more data being created in the past two years than in all of human history, writes John Abel, Vice President of Cloud and Innovation for UK and Ireland, Oracle. Managing this growing flood is complex and the task comes with a high level of responsibility. Unplanned downtime costs businesses an average of £3.6 million every year, with the expense of a data breach topping around £6 million. The 24/7 requirements on businesses and huge security challenges mean that'manual' management is no longer an option. Today's digital business requires a new approach, in particular around the four major hurdles currently hindering organisations from harnessing the full power of data: Businesses are having to spend as much as three-quarters of their total database management cost on labour, with the focus being on mundane administration and operational tasks rather than high-value work.