Many small and medium organisations have an internal IT team while others completely outsource this function.
There are essentially two different schools of thought when deciding how to approach the applications used within an organisation.
Are you truly getting value from your IT team, whether internal or external? Are they adding value to your business, identifying strategic opportunities and managing enterprise risks?
Lots of apps could mean lots of productivity, or it could mean lots of disparate systems that don’t integrate well, are poorly implemented with little end user training and result in information silos across the organisation.
So you’ve heard about this Robotic Process Automation (RPA) idea, but what is it really? Essentially, it’s just a fancy word for innovation that focused on a series of steps in a process, and automates all or part of them.
Machine Learning (ML) is a component of Artificial intelligence whereby computer systems are able to ingest large amounts of data and learn from that information to continuously improve and support decision-making.
Many artificial intelligence cloud platforms incorporate a series of Cognitive Services tools to assist Data Scientists and other Power Users to leverage complex algorithms when deploying AI solutions in organisations today.
Artificial intelligence represents an emerging opportunity for organisations to improve decision-making, reduce costs, increase productivity, innovate and grow.
Although Big Data was identified as an IT Megatrend almost a decade ago, many organisations have failed to implement effective Business Intelligence solutions based on huge datasets now available within organisations and coupled with publicly-available information.
Can machines ever achieve the holy grail of imitation of human thought? Or will they be relegated to expert execution of pre-defined tasks of only specific processes or activities without human concepts of learning, empathy, and intuition?
