The most recent annual reports of 37 global chemical companies were searched to determine what the companies indicate in the reports about their use of artificial intelligence (AI) and/or machine learning (ML) in their operations. Here is what was found:
BASF is digitalizing processes at more than 420 plants and is using AI to collate data from sources to accelerate innovation processes, optimize supply chains and logistics concepts, and simulate product applications.
Clariant uses AI to provide real-time recommendations about control parameters to help, for example, formaldehyde and methanol production increases and efficiencies. Clariant also combines process data with ML to increase throughput in production.
Covestro uses AI to help their chemical plants optimize energy usage.
DSM uses AI to facilitate employee talent exchanges within the company. The company also uses AI in developing bio-based products and their production technologies.
Evonik uses AI in research, development, and applications technology. It also uses AI to improve animal nutrition and health.
FMC is exploring the use of AI to
create opportunities for the company.
The company is enabling pest scouting using AI and is using ML to help explain
how soil diseasesemerge.
Mitsubishi uses AI to improve the customer interface with the company, to optimize supply chains, to automate process control, in product analysis and quality inspections, and to promote new material and pharmaceutical developments.
Nitto Denko uses AI to detect safety hazards and prevent accidents.
Solvay is developing increased roles of AI in running company sectors.
Sumitomo is using AI in research and development.
Toray is using ML to design resin materials for automobiles, by building a model that searches for the optimal compositions.
Umicore uses AI to strengthen modeling of integrated process data. ML and other computational and data sciences are growing areas of expertise within the company.
The above 13 companies (35% of the totals 37 companies) were the only ones that refer to AI and/or ML in their annual reports. Based on the above, the use of AI and ML is seen by these 13 companies as valuable in helping their operations.
Of the 13 companies, eight are European Union (EU) companies, with one being an American company and four Japanese companies. A higher percentage of EU companies is consistent with Germany's (a EU member) long-term emphasis on increasing digitalization in their industries. You can read more about this emphasis in a blog I wrote by clicking here.
Also, in an earlier blog (click here) I wrote about how chemical companies, are increasing digitization.
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