Less than two per cent of the global outsourcing market is affected by robotic process automation (RPA). And yet, some estimates show that the growth of RPA use may approach 90 per cent year-over-year, according to an interview with Everest Group VP Sarah Burnett at a recent seminar organised by Accenture.
Artificial Intelligence (AI)
Statistics are a lot of fun, and contentious too. Yet they permit us to remain fairly grounded. Let’s start with the obvious. From self-driving vehicles and semi-autonomous robots to intelligent algorithms and predictive analytical tools, machines are increasingly capable of performing a wide range of jobs that have long been human domains. A 2013 study by researchers at Oxford University posited that as many as 47% of all jobs in the United States are at risk of “computerisation”.
Robotic process automation (RPA) is all the rage these days, and with good reason. Software bots that replicate the way humans perform repetitive, rule-based tasks are driving significant cost savings and productivity increases. For as little as $10,000 a year, an enterprise can implement and maintain a bot that performs the routine work of five to ten people. Moreover, RPA can deliver a wide range of business benefits such as improved data collection and accuracy, auditability and compliance.
In today’s business climate, it is innovation levels coupled with speed to market that will determine a company’s success. This was one of the reasons why, in 2016, we saw more interest in trends around optimising business processes – from automation to the as-a-service ecosystem. Businesses are looking to make the most not just of their employed staff, but also of their technology and the pure raw data that they hold.
By virtue of the risk adverse nature of the insurance sector, the sector has not been considered to be at the vanguard in terms of the adoption of new technologies.
Cloud has been both an exciting and disruptive force in the technology market for the last decade. It has acted as a critical enabler for a host of other influential technologies and this will continue and accelerate in 2017.
Compliance – complexity and uncertainty drives the need for flexible, adaptive strategies
Our ancestors in India always told us that it was a sin to cross the oceans (and many in India do not cross oceans even today). There was something about globalisation that they just did not like and I have not been able to figure out what it is.
Peter Dickinson is a partner at international law firm Mayer Brown and co-leads their global Technology Transactions practice; he's also a hugely respected thought leader and a regular contributor to Outsource, offering insight on a broad range of legal and technological issues. A perfect fit, in other words, for our Life Lessons series: take it away, Peter...
The Register likes to put the boot in when they comment on IT stories, so it was no surprise to see a recent feature about Fujitsu in which The Register summarised that Fujitsu needs to "get a move on" if they are going to transform their business to meet the expectations of customers today.
There is no doubt that cloud, big data and artificial intelligence will be trending in 2017, just as they were in 2016, and will likely be in 2018. These are multi-year endeavours because the true implementation of technologies under these umbrellas have just begun, and challenges - like finding quality resources and better understanding of the technologies to fit into the business use cases - remain.