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Andreas Mühlbauer,

The trends 2023

From the energy transition to digitalization, environmental and climate protection through to artificial intelligence - the tasks for the new year weigh heavily. We have summarized some of the technical trends and economic outlooks here.

Artificial intelligence will continue to grow in importance in 2023. © iStock/LHIND

Eaton: Energy transition - Germany is lagging behind

A recent study shows that the Nordic countries are among the best positioned when it comes to preparing for the energy transition, while countries such as the UK and Germany are lagging behind. The Energy Transition Readiness Index (ETRI) 2022 evaluates and compares the readiness for the energy transition of the electricity markets of 13 European countries. Germany and the United Kingdom as well as Ireland, Italy, Poland, Spain and Switzerland received a 3 in the progress ranking, the lowest score in the report. Germany also took last place. With a progress ranking of 5, Finland performs best in the ETRI 2022, while Denmark, Norway and Sweden were rated 4. France and the Netherlands also received this rating. The countries at the top of the ranking have flexibility markets that enable fair, transparent and easy access, while the countries at the bottom of the ranking struggle with investment barriers such as delays in grid access and unfavorable flexibility markets.

Eaton Electric

SAS: Digital twin becomes the main character in 2023

"In 2023, the digital twin will be the main character. There will be more specialized applications that focus specifically on use cases in the areas of energy supply, infrastructure optimization and industrial manufacturing (especially petrochemicals, truck/automotive)." Jason Mann, Vice President Internet of Things (IoT) at SAS, predicts this development for the IoT in 2023. Advanced analytics, AI, streaming analytics and machine learning are driving developments such as smart factories and grid infrastructures in combination with IoT technologies. Mann also sees the following IoT trends:

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  • Automated machine learning models for low code and no code: Industrialized AI will make corresponding AutoML models widely available. This development will be accelerated by simple provision via self-service marketplaces and additional bookable service packages that facilitate customization and implementation.
  • AI solutions for industrial image processing: Production companies will increasingly rely on technologies that can also be used by skilled workers on the line.
  • Edge devices and cloud: Hyperscalers such as Microsoft, AWS and Google are increasingly bringing cloud services directly to edge devices. The result: faster introduction of IoT analytics and better, data-based decisions.

SAS

IDS: Sharpening the eye for new things with AI

Despite the bleak economic outlook and rising energy prices, IDS is optimistic about 2023. Incoming orders are still good and the signals are also green in terms of delivery capability. "We are working flat out to develop and manufacture new hardware platforms with predictable semiconductor technology," says IDS Managing Director Jan Hartmann. Among other things, the industrial camera manufacturer is driving forward the topic of AI. "IDS wants to make it even easier for users to access this key technology, remove supposed barriers to entry and help to initiate urgently needed automation processes with easy-to-use image processing components," emphasizes IDS founder and owner Jürgen Hartmann. "We have emerged stronger from the crisis and expect the market to develop positively," summarizes Jürgen Hartmann.

Sustainability is also high on the agenda. IDS has firmly anchored this in its annual targets and aims to reduceCO2 emissions by a further 5%.

IDS - Imaging Development Systems

Lufthansa Industry Solutions: A year of AI

Lufthansa Industry Solutions gives an outlook on the AI year 2023 in five theses:

1 AI is not a dream of the future, but the present


AI is now being used everywhere in business, whether in production, human resources, customer service or supply chain management. Even in everyday life, more and more devices and processes are being controlled via embedded AI. AI and IoT are working ever more closely together in the corporate environment.

2. companies large and small can use AI without having to be experts

AI is not only reserved for large corporations with broad technological expertise. Today, SMEs can also access complex AI applications without having to develop them themselves. This is possible thanks to software-as-a-service (SaaS) and low-code solutions, which are now widely available and can be easily integrated as modules via interfaces.

3. the path to sustainable management is only possible with AI

Sustainability is one of the top issues for business. Companies must always keep an eye on their data, raw material and goods flows. In doing so, companies rely on intelligent machine support. For example, AI can be used to optimize and check supply chains, design recycling processes as early as the product design phase and set up efficient freight routes.

4 AI becomes a welcome colleague

In many companies, the workforce is skeptical about the introduction of AI. But it is not about replacing human labor. Instead, AI helps to improve human skills and abilities. AI relieves employees of routine tasks and creates space for creative activities. Employees will therefore benefit from AI and find more fulfillment in their work. The technology helps companies to alleviate their skills shortage to a certain extent.

5 AI is tamed, but not broken

AI offers a wide range of possibilities that can extend to mass surveillance or manipulation. Effective and transparent regulation is therefore needed to prevent misuse and reduce fears of contact. This year, for example, the EU is planning to set clear limits on questionable AI applications with the AI Act.

Lufthansa Industry Solutions

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