Since its inception over the last ten years, the process of digital transformation in a corporate sphere has been slowed somewhat due to the ongoing battle between the IT and finance departments. With CIOs prioritising the strategic value of technological innovation and CFOs often only concentrating on cost discipline alone, the two have historically been at crossed purposes. However, the tide may now be turning.
With RPA being such a powerful tool that solves many business problems, it is understandable that people have many questions and with the abundance of information out there we realised it could feel like a bit of a mine field. We therefore wanted to offer delegates a platform on which to talk freely and directly about RPA in an open, face-to-face setting, see how the software works first-hand, discuss the business drivers and, most importantly, ask those probing questions that search engines can’t answer.
2018 has been marked by revelations that Cambridge Analytica used millions of Facebook users’ data to manipulate elections. While Big Data has steadily grown more omnipresent in people’s lives, and concerns about privacy and autonomy with it, this event marked a tipping point in global consciousness – people have started to second-guess the benefits of many technologies.
In the age of digital optimisation, it’s no surprise that businesses are always on the lookout for ways to tighten up their operations, streamline processes and improve efficiency, both in terms of time and money. Robotic process automation (RPA) is one of the key technologies that has risen to meet this demand and as the bedrock of all digitised operations in your company, it’s logical that the IT department should be one of the first to embrace this new innovation.
Thanks to the proliferation of digital technology, many established corporations have been disrupted by start-ups who have embraced technology to gain a competitive edge. Giants such as Blockbuster – who had the opportunity to buy Netflix for just $50 million in 2000 – have gone defunct, while the latter’s market cap recently passed $100 billion. So how does your corporation avoid the same fate? What distinguishes the disruptor from the disrupted?
Business optimisation aims to streamline the individual processes within a company to achieve the same end results in a shorter space of time, using fewer resources, less financial outlay or minimising the occurrence of human error and bottlenecks. All of these inefficiencies can slow down your business, costing it valuable time and money, and optimisation seeks to analyse your existing model and tweak it for improved performance going forwards.
There has been an explosion of automation technologies in every area of life and business over the last few years – and concurrently a shockwave of questions, fear and excitement, optimism and pessimism, about how this will impact society, particularly work.
Machine learning represents an exciting new opportunity for business owners and entrepreneurs to streamline operations, optimise customer experience and free up their human workforce for more profitable uses of their time. Unfortunately, the intricacies of the technology mean that many CEOs, CIOs and COOs are left scratching their heads about how to implement a functional, successful system in the first place.
With a staggering 23 billion connected devices as of 2018 – 127 more every second – the Internet of Things (IoT) is seeing a rapid rise to prominence. IoT devices are increasingly being amalgamated into automated systems, and this can be leveraged to improve business efficiency.