User studies remain one of the primary ways software companies can gain insight and achieve some public recognition. Most of the studies emanate from cybersecurity protection developers. This one comes from a software company with which I’ve had little contact. There was a woman I knew from one company who came to SAS for a while. We had occasional conversations before she left that company.
SAS develops software applications. I’ve never had a handle on its business. It now bills itself as a global leader in data and AI. This study was conducted by the research firm IDC. And we have the acronym AIoT—or the convergence of AI and IoT. Somehow I feel that concatenating acronyms is the beginning of the end times 😉
Key findings from the IDC InfoBrief, How AIoT Is Reshaping Industrial Efficiency, Security, and Decision-Making, sponsored by SAS, include:
This one should surprise no one. Everyone discusses predictive maintenance.
Predictive maintenance dominates current AIoT use. Nearly 71% of organizations use AIoT for predictive maintenance, the most widely adopted use for manufacturing/industrial and energy companies surveyed. IT automation (53%) and supply and logistics (47%) were the next most cited uses for AIoT.
Executives continue to dream of significant cost reductions from AI.
AIoT drives tangible business value. 54% of respondents anticipate major cost savings, 52% predict smarter and faster innovation and 49% expect streamlined operations from their investment in AIoT. Additionally, 63% believe AIoT will boost productivity and competitiveness.
Managers continue to see AI as an aid to overcome the current skills gap of employees.
Skills gap emerges as the top challenge. The skills gap is the biggest barrier to AIoT success, outpacing legacy system integration and data quality issues as the most significant roadblock. Other challenges include high implementation costs, business process misalignment and cultural resistance. Addressing these issues is essential to unlocking AIoT’s full potential.
Some actually use the technology!
Heavy AIoT users see greater value. Organizations using AIoT heavily are twice as likely to report benefits that significantly exceed expectations as those that only use the technology sparingly. Strikingly, less than 3% say the value of AIoT “did not meet expectations.”
The IDC research is based on a global survey of more than 300 industrial executives in the manufacturing and energy industries.
And from the company:
SAS IoT solutions combine AI, machine learning and edge-to-cloud integration, enabling analysis of high-volume, high-velocity data. And joining AI with these IoT solutions extends the value of existing infrastructure investments and digitally transforms the workforce by shifting from manual oversight to intelligent orchestration.
Other organizations benefiting from SAS IoT and streaming analytics for improved asset reliability, enhanced product quality and increased efficiency across connected systems include:
- Georgia-Pacific
- Jakarta Smart City
- Lloyd’s List
- Lockheed Martin
- Town of Cary (North Carolina)
- Volvo Trucks and Mack Trucks
- wienerberger
