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.
So smart organisations have begun to consider their return to work plans, while teams are still working from home as we wait for governmental restrictions to be relaxed in the wake of the most serious global health crisis in a century.
Once upon a time, reporting was hard. It was a time when systems didn’t talk to each other, and every application had its own reporting system.
Back a century or so, industrial mechanisation was the key to productivity improvements necessary for organisations to remain competitive.
As the COVID-19 pandemic has forced large numbers of office workers to work from home, a significant increase in cyber risks have emerged.
