90% of Australian companies intend to invest in AI: study

IFS Australia

Monday, 25 November, 2019


90% of Australian companies intend to invest in AI: study

IFS has announced the findings of a global research study into the attitudes and strategies towards artificial intelligence (AI) among business leaders.

The study polled 600 business leaders in countries including Australia, Canada, Denmark, France, Finland, Germany, Sweden, the UK and the US and a broad spectrum of industries involved with their companies’ enterprise technology, including enterprise resource planning (ERP), enterprise asset management (EAM) and field service management (FSM).

The study found that about 90% of respondents (Australia and globally) reported at least some plans to implement AI in various parts of their business. Inventory planning and logistics was the most commonly reported area of investment in Australia, with 54% planning AI projects (39% globally), while customer relationship management (CRM) was second at 46% (39% globally). Globally, industrial automation was the most common area of AI investment at 45% (28% in Australia).

When asked how they plan to use AI, 57% in Australia (61% globally) said they expected it would help them make existing workers more productive. Less than half, 39% in Australia (48% globally), said they would use AI to add value to products and services they sell to customers. About 29% in Australia (18% globally) said they would proactively use it to replace existing workers.

While a majority of respondents anticipated productivity increases from AI, only 21% in Australia (29% globally) anticipated AI would lead to a reduction in headcount in their industry. To manage this, 57% of Australian respondents (56% globally) stated that society could best prepare by changing educational programs to prepare workers to make direct use of AI tools to increase their own productivity. Another 29% (23% globally) said they expect the market to create new jobs for people displaced by AI, while 11% (15% globally) suggested a shortened 30-hour work week.

“AI is no longer an emerging technology. It is being implemented to support business automation in the here and now, as this study clearly proves,” said Bob De Caux, IFS VP of AI and RPA. “We are seeing many real-world examples where technology is augmenting existing decision-making processes by providing users with more timely, accurate and pertinent information.

“In today’s disruptive economy, the convergence of technologies such as AI, RPA and IoT is bolstering a new form of business automation that will provide companies that are brave enough with the tools and services they need to be more competitive and outflank larger competitors.”

An early adopter of industrial automation solutions that make use of robotics to transform its business strategy is North American packaging manufacturer Cheer Pack, which deployed a fleet of AI-powered autonomous vehicles to robotise material movements in its US factory and has already seen strong returns on the investment. Cheer Pack Director of IT Alex Ivkovic noted, “We expect the costs savings to be over $1.5 million per year. In addition, each and every employee will be retasked to a higher-skilled position helping us with our labour shortage.”

De Caux concluded, “The findings of the study and the real-world scenarios being realised at our customers point to the conclusion that the time is right for companies to reap both business and financial benefits from technology automation.

“Falling for the hype of AI is easy, but success requires disruption to existing business models. The technologies themselves are not a panacea, nor are they a universal solution to any problem. However, with the right data model and viable use cases, AI can support improved productivity and deliver significant benefits to both operations and the wider business. AI will be used by the vast majority of organisations in some form in the near future, extracting real value from intelligent processes, for the long term.”

The complete IFS study, ‘AI Research: Planning for Disruption’, can be downloaded here.

Image credit: ©stock.adobe.com/au/immimagery

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