The potential for process optimizations or the development of new products and services from using Machine Learning (ML) and Artificial Intelligence (AI) is well known – and exists even during crises, such as the COVID-19 pandemic. By now, however, AI and ML have become much more than an option: Companies that flinch at big investments in this area risk losing out.
The IDG Machine Learning Study 2021
The majority (73 percent) of large companies places its bets on Machine Learning: in case of IT problems, to improve production and in the logistics and sales sectors – this is the clear result of the study by Lufthansa Industry Solutions in cooperation with IDG. However, the study also demonstrates that in light of rising customer expectations, increasing economic pressure and an ever more complex IT infrastructure, support from self-learning systems has become indispensable if a company wants to remain in the market. Furthermore, the challenges that many companies must meet when using ML and AI are becoming clear, as are the reasons why nonetheless there is no alternative in the long term.
The study was conducted by IDG Research Services in cooperation with Lufthansa Industry Solutions in April/May 2021 and thus follow up on the IDG Machine Learning Study 2020. There were 367 interviews. The companies surveyed came from various industries and have different company sizes and annual revenues.
The Machine Learning Study 2021 contains:
- Detailed numbers on the assessment of developments related to Machine Learning by decision-makers and IT specialists in more than 360 companies
- An overview of the reasons and goals for introducing Machine Learning in companies
- Success rates of AI projects
- Insights into which AI/ML methods are increasingly used in companies
- Corresponding explanations about the challenges and problem areas in the Machine Learning sector
- Background about why the company structure must be adjusted to support AI and ML
Now download the entire study free of charge as a PDF!
In the IDG Machine Learning Study 2021, learn how decision-makers assess current developments related to Machine Learning and what challenges smaller companies face.