Conversational AI is a growth area, offering new ears and a mouth for virtual assistants. Add in new arms and legs with automation and Kiwi businesses could reap big returns.
Automation is undoubtedly on the agenda of most executives in New Zealand. Enabled by a wider ecosystem of smart technologies, Intelligent Process Automation is the destination making AI one of the hottest words of 2019.
In September I travelled to America to attend the San Francisco Ai Summit – self-proclaimed the world’s largest AI event for business. At the event I joined several thousand attendees to hear from over 200 speakers and engage with over 200 exhibitors.
The aim was to bring back key learning to be translated into practical insights to share and help move New Zealand businesses forward in the adoption and application of smart technologies – something key to Quanton’s drive.
Quanton is excited to officially announce our partnership with ABBYY to provide New Zealand businesses Content Intelligence in Process Automation.
The new partnership will help New Zealand businesses gain the benefits of Optical Character Recognition, Machine Learning (ML) and Natural Language Processing (NLP), which when combined with Robotic Process Automation, will extend the potential breadth and depth of automation and digitally transform operating models.
Robots to the fore – Key insights for New Zealand Business into RPA in 2019
From making artificial intelligence a business reality to closer ties to human colleagues, robotic process automation is gearing up for a strong 2019
Humans will be robots will be forging stronger ties this year as Robotic Process Automation (RPA) move further into the Kiwi business landscape. As the year firmly gets underway, Garry Green, Managing Director for Quanton shares what he believes will be the four biggest trends for Process Automation this year.
On September 27th, 2018 Quanton hosted our inaugural DX Seminar. One of the exciting speakers was Asa Cox who discussed the very exciting topic of Robotic Process Automation (RPA) and Artificial Intelligence.
Following the recent opinion piece on RPA as a foundation for AI by Garry Green we wanted to continue to address the conversation around RPA and AI with three ways AI and RPA will extend the reach of automation in our organisation.
Artificial Intelligence (AI) and Machine Learning (ML) have become two of the most hyped technologies of the year and for many, there’s confusion around how they differ from Robotic Process Automation (RPA).
There’s certainly plenty of overlap - RPA can include ML or AI. But there are also distinctly unique with significant differences and despite the hype around AI, much bigger strides are being made with automation technologies such as RPA. More importantly RPA will be a critical platform to help organisations prepare for the benefits of AI and ML. We hit this topic in an exclusive podcast below and we're looking forward to hearing Professor Willcocks get into the details at our exclusive event on November 29th.
Mid-August Quanton formally announced the first event in our DX Seminar series. Taking place on September 27th in Auckland, the event is designed to give innovative business leaders the practical knowledge they need to hero the conversation for Robotic Automation within their organisations.
With a focus on Robotic Process Automation (RPA) and the emerging opportunities of Intelligent Process Automation, we are excited to begin officially introducing the speakers who will be sharing their knowledge and experience at the September event, starting with Anthony Scott, Chief Intelligent Automation Officer (CIAO) for Australia and New Zealand at illion.
Organisations are rapidly moving towards Robotic Process Automation (RPA) and looking at the horizon for the future opportunities of AI and other advanced technologies as a means to enable digital transformation.
This idea was supported entirely by Phil Fersht, CEO and Chief Analyst at HfS Research when he said “RPA has breathed new life into business operations by speeding up processes, increasing access to crucial data and digitising workflows. However, as this capability become the norm, further value must be realised by integrating software robots into emerging AI platforms.”