Data shortage slows CO₂ reduction

Siemens study Data shortage slows CO₂ reduction

2024-12-04 Source: Manuel Christa | Translated by AI 2 min Reading Time

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Despite sound data-driven operations, there is a lack of "proper data" for measures aimed at decarbonization and resource efficiency. This is what a study by Siemens Smart Infrastructure claims to have found. The survey of 650 international executives highlights the obstacles and potentials on this path.

Siemens study criticizes data shortage in decarbonization.(Image: Siemens) — Siemens study criticizes data shortage in decarbonization.
(Image: Siemens)

Data helps save CO₂

Although 54 percent of respondents state that they already use data-driven operations, many lack the necessary information. Forty-four percent lack accurate emissions data, and 46 percent report insufficient performance data of their systems. One-third of respondents do not have energy consumption data to make their operations more efficient.

These gaps make it difficult to make informed decisions that could enhance efficiency. Siemens CTO Thomas Kiessling calls for better use of data and broader deployment of digital technologies such as the Internet of Things (IoT) and artificial intelligence (AI). "The solutions for this already exist, the savings are obvious—there is no reason not to act now."

Digital technologies like AI drive change forward

The survey claims to have shown that digital technologies play a central role in CO₂ reduction. 55 percent of respondents see great potential in these solutions. AI is particularly convincing: one-third of the executives believe that AI will play the most important role in the next three years.

Digital twins and smart grid technologies help companies simulate complex systems and reduce energy consumption and emissions. The scalability and efficiency of such technologies also convince the respondents.

Barriers to implementation: Lack of awareness

Despite these opportunities, companies struggle with issues. Many cannot effectively connect or analyze data sources. Lack of tools and fragmented systems make it difficult to derive and implement meaningful insights from data. Additionally, 45 percent of respondents are unaware of how digital technologies can help minimize the CO₂ footprint. Other hurdles include costs, complexity, or a shortage of skilled workers.

What companies can do: Invest

As a solution, Siemens naturally cites its own products and services: companies should invest in IoT and AI to improve data quality and work more sustainably. Connected systems are crucial for responding quickly to changes. Open digital business platforms are suitable for this purpose, providing easy access for third-party developers and an interoperable environment where partners can collaborate efficiently. (mc)

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