Industry 4.0: Disruptions mainly in data-driven industries
Termed the fourth industrial revolution, or Industry 4.0, AI implementation has become common in the last few years. According to a 2018 survey by Ethical Corporation, companies claiming to implement AI jumped from 38% in 2016 to 61% in 2017. Of these companies, 95% said they were interested in adopting AI solutions for insights into data while 50% say they want to use it for improving accuracy through automation.
AI adoption is currently less a case of cyborgs everywhere and more data-driven. Machine learning is seen as the new oil. Indeed, AI-powered solutions allow for reduced inefficiencies in business models. For example, with AI implementation in the insurance industry (dubbed the Insurtech industry), premiums underwritten by artificial intelligence are predicted to reach $20 billion as soon as 2024 (currently around $1.3 billion in 2019). These large-scale advances have created what Diginomica referred to as the 2018 AI hype machine.
Beyond the hype: AI implementation in 2020
With AI appearing in our day to day lives, the focus is not on the if but the how of AI. However, AI adoption is made difficult by risks and uncertainties. For example, regulatory uncertainties recently increased with the GDPR. Business leaders are unsure which investments are most relevant for AI transformation which can be costly, often taking longer than predicted. Accordingly, PwC identified the Priority List for AI implementation. The list includes the necessity to make AI responsible, training employees and AI specialists to work together, cybersecurity, the convergence between AI and other tech, etc. Most importantly, AI experts including Microsoft recommend acting strategically to create the right, scaleable AI foundations.
In the immediate future, AI will reportedly be used in three main sectors: cost savings, new revenue, and customer experience improvements. For DXC, it is clear that the majority of large businesses will produce customer experience products centered around AI. Further, the analogy of the rich and famous is used to portray AI as “democratizing services, information and convenience” in a tangible way. For instance, online chatbots will become usably intelligent, and we would start trusting AI to do stuff for us. On the data side, Augmented Analytics would cause “the next wave of disruption” in 2020 as per Gartner’s Top Strategic Predictions, which could reduce business dependency on data scientists.
Students entering the workforce in 2020
Finally, another interesting prediction: students entering the workforce in 2020 will be less inclined to accept the status quo of repetitive manual work, which will create pressure for change and increased AI implementation. Perhaps we might even see AIs listed in employee directories in the next 12 months.
Written by Tanya Beck