In the future, Merlicek believes a "dramatic rise in cloud hosted intelligence and API services" will occur, with companies leveraging dynamic, cost effective, scalable and transparent cloud driven services.
Naturally, such advancements will result in job displacements, yet for Merlicek, the shift enables the augmentation of human decision making, freeing up personnel to concentrate on high value-add functions.
"New opportunities will continue to be exposed and the decision of where to invest effort and resources for the future raises it head," he added.
"Diversification has been a natural strategy for many to reduce risk but many are now looking to focus on the industries that they know, have direct skills in and have a very large market value."
AI partner perspective - DXC Technology
Once the future and now a reality, conversations around artificial intelligence [AI] are changing at a rapid rate across Australia.
During the past two years, businesses have started experimenting, leading to discussions about the future jobs of the workplace, and the potential roles that are now under threat.
Machines replaced people in the industrial revolution, and now the next generation of machines - those that can automate repetitive business processes and have machine learning or AI capabilities - will replace the next wave of jobs.
"There's growing business interest in Robotic Process Automation (RPA)," DXC Technology director of partner sales, Sonia Eland, said.
"This includes basic bots that can handle repetitive tasks - as companies are keen to automate their business processes to not only reduce costs, but to improve the speed and accuracy."
In Australia, Eland believes that competitive advantage is driving the adoption of AI in business, but whilst the emphasis remains focused on big data and analytics, recruiting data scientists continues to challenge organisations.
Furthermore, software companies are investing in building offerings around AI, allowing enterprises to extract value out of big data without necessarily employing a data scientist.
For businesses seeking more cost effective and faster operations however, value can be found in "feeding enormous amounts of data" into AI environments, allowing the technology to learn and determine patterns.
"It will continuously learn based on all new data and feedback," Eland explained. "So once it's it up and running, you can start getting advice back on how and where to make the biggest improvements in your operations.
"To provide higher levels of customer satisfaction around the purchasing of products, feed all the data about the products, how they are sold and how customers interact so it can learn how to guide the buyer to help them make the 'best fit' choice."
Sonia Eland, Director of Partner Sales at DXC Technology
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