‘Treat data as an asset’ sounds like a straightforward and sensible maxim for any government agency to abide by. It was one published in bold type in IP Australia’s corporate plan from a few years back.
Senior tech execs gathered at O'Bar in Sydney to discuss how they are rolling out robotic process automation and other technologies across their businesses. The luncheon was sponsored by Automation Anywhere and Capgemini.
Senior tech execs gathered at Cecconi's in Melbourne to discuss how they are rolling out robotic process automation and other technologies across their businesses. The luncheon was sponsored by Automation Anywhere and Capgemini.
In recent years, big data and artificial intelligence (AI) have received overwhelming attention, however the interesting – even obvious – connection between the two hasn’t often been explored. It is the combination of big data and AI working together that is now enabling business leaders to deliver new insights, efficiencies and even new functions that haven’t been possible before. This is evident in the increasingly useful role big data and AI are playing in a broad spectrum of traditionally outsourced functions such as recruitment, HR, finance and supply chain, through to security and IT.
According to Gartner, business Intelligence and analytics will remain a top focus for CIOs through 2017, with companies spending millions on traditional BI software, cloud BI services and now mobile apps and even social BI. However, as the type and number of BI solutions has grown, so too has the possibility of failure, of picking the wrong business intelligence software for your business problem or problems or of having end users not understand or properly use the solution.
The pressure is mounting for CIOs and other IT leaders to help the business enable new disruptive technologies like mobile, social, cloud and big data, but many CIOs are struggling to do so because maintaining and supporting legacy applications consumes the lion's share of the budget. Here are five recommendations for rationalizing your application portfolio.