This article was written for the Workday Blog by Mickey North Rizza, group vice president, enterprise software at IDC.
IDC recently conducted a study on behalf of Workday to better understand the needs and plans for business technology across more than 10 industries. And with AI’s impact growing every day, we wanted to better understand how each industry is using it and any challenges they face.
We also looked to uncover organizations’ ability to embrace digital transformation to gain a competitive edge within their industries—including finding and nurturing the best talent.
Our study included over 4,000 respondents from North America, Western Europe, and Asia/Pacific, mostly at the director level and above in IT, finance, and HR roles. These individuals were quite transparent, letting us know about their enterprise application and technology requirements for improving their businesses.
The respondents focused on digital transformation, the utilization of AI, and challenging areas such as talent management, skills gaps, and manual processes that were holding them back. Let’s take a deeper look at some of our key findings from the study.
Slow AI Adoption Means Missed Opportunities
AI has brought significant benefits in productivity and efficiency for many organizations. In addition, it’s helped move industries into the digital world. Some of the industries that have embraced AI and found immediate impact include:
Higher education, with the use of a touchless curriculum and AI’s assistance in catalog management and student information management.
Retailers, by improving frontline, customer-focused workforce management and streamlining employee recruitment, onboarding, training, learning, engagement, and skills management.
Hospitality, by streamlining technology touchpoints with clients.
Manufacturers, by providing organizational visibility via AI’s use in half of all major initiatives across finance, HR/frontline worker management, and ERP systems.
While these examples have aided organizations in their knowledge of AI and their quest to use it, there are still many challenges they’re struggling to overcome. Some of the biggest concerns with AI were the changing of datasets, accuracy, AI governance, and complexity around IT infrastructure.
Healthcare providers ranked AI privacy concerns high, and those within the technology industry said they’re still working on how to implement AI sustainably. The banking industry worries about AI in terms of privacy and dataset accuracy.
While the leaders we surveyed have clearly paved new digital-world models with AI, they still face challenges. The great news is that organizations are embracing opportunities to accelerate learning from their use of AI and starting to see the land of AI opportunities in the form of new best practices, improved insights and decision-making, and productivity gains.
Delays Continue with Needed Digital Transformation
Digital transformation activities continue to be ongoing for a plethora of industries. Our study revealed that digital transformation efforts are of critical importance to industries of all sizes. However, digital transformation delays continue—we found that a large percentage of organizations still face the hindrance of reliance on spreadsheets and manual processes and spend too much time on low-value data entry and tasks.