- HR and Finance do not see excellent AI results, the report finds
- Only 11% are seeing tangible profits from most of their AI initiatives
- A unified data strategy is needed with improved integration and analysis
New research has affirmed that the investment of AI in the United Kingdom companies still does not translate into consistent or measurable returns, suggesting that many companies have not yet evolved from their experimentation to implementation phases as they struggle to solve effective cases of use.
This comes as many sectors still fight to see any real results of AI tools, with 37% of human resources and 30% of the financial companies surveyed by Qlik that indicate that they see the least tangible benefits.
This compares with the four in five (81%) of the cyber security departments that have seen improvements.
IA investments do not translate directly into results
Qlik also discovered that most companies are still trapped in pilot phases, without the tools and skills to climb the impact of AI.
Only one in 10 (11%) companies report that the majority (75%+) of their AI initiatives have delivered tangible profits, with about a quarter (23%) recognizing that most of their case of use of AI are still in the experimental phase.
Almost half (44%) also admitted that there is a disconnection between the perceived and real productivity profits of the AI, with a similar number (51%) that evaluates the AI using KPI directly linked to the business performance, instead of evolving its metrics to the technological scene of change.
“This gap between exaggeration and reality is a call of attention. Companies must focus on the measurement, alignment and construction of the data infrastructure that allows the scale delivery to the scale,” explained Qlik’s strategy director, ER James Fisher.
The lack of internal skills is affecting almost one in two (49%) companies, with technical problems such as incompatible tools and platforms (36%) and the lack of data integration in real time (37%) are also worrisome. Obviously, architecture and database are still retaining many companies, while the budget is becoming a minor problem.
Looking towards the future, 89% agree that a unified data strategy is essential to evaluate the ROI. Many also agreed that the integration and analysis of improved data (57%), the greatest visibility of how AI models make decisions (55%), a strong collaboration between the departments (49%) and the KPI focused on the results (46%) are helpless to generate an impact of real.
“That means scalable tools, integrated strategies and collaboration in each function,” Fisher concluded.
