Fact Not Fiction: Ipswitch’s independent research reveals how it teams are preparing today for the rise of intelligent machines

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The survey examines the attitudes and readiness of IT decision makers with regard to intelligent machines and business systems (machines with decision making and learning capabilities). Exploring the fast-paced adoption of these systems, the report looks at the positive impacts already being observed in the commercial world and the potential barriers to even further mainstream adoption over the next decade.

According to the research, investment in intelligent business systems and automation is well underway across the globe. Top current application deployment areas cited by respondents include digital customer engagement systems (55 per cent), process automation and workflow systems (52 per cent), and automated risk monitoring and management solutions (50 per cent).

Despite the speed of adoption, the study reveals that IT decision makers are finding it difficult to assess the full extent of the risks, challenges and threats posed by intelligent business systems. Security concerns (33 per cent), funding constraints (30 per cent) and lack of knowledge (24 per cent) were all identified as areas of worry and named as primary obstacles to adoption and use. To give just one example, a fifth of respondents (20 per cent) said increased ‘noise’ on the network is making it harder to detect malicious activity, with automated/bot access to APIs causing system/application issues and creating unexpected security exposures.

‘Organisations are harnessing the transformative powers of intelligent systems to gain competitive advantage. But IT decision makers recognise that, while a force for good, these technologies also expose the enterprise to new internal and external risk vectors,’ said Tony Lock, distinguished analyst at Freeform Dynamics. ‘As the pace of adoption increases, there will be no escaping the impact of intelligent systems on the enterprise – regardless of whether or not organisations directly invest in such technologies.’

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