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What trends and development characteristics will the industry present in 2024
?
From
February
27th to 29th
, HARTING Technology Group will invite experts for the third time
to focus on introducing and discussing industry development trends at HARTING's
3rd
Industrial Ethernet Week. Some of the speakers at this event have already shared their views on some of the key trends in advance: How do you see smart factories developing? What are the key trends in industrial artificial intelligence? What will have a lasting impact on device development? What developments will occur in data networking technologies that will help build
IIoT
infrastructure? A brief introduction.
Danny Smith
, Amazon
Web
Services
Chief Artificial Intelligence Strategist for Automotive, Industrial and Manufacturing, Amazon Cloud Computing Services
“
We will continue
to make progress towards
‘
putting jobs to people
’
rather than
‘
people finding jobs
.
’
To that end, I think digital twins (replicating physical reality in cyberspace) and intelligence built on digital twins will Further continued development will focus on providing humans with the ability to synthesize all data to gain deeper insights and ultimately make better decisions
in 2024
,
with technologies that can help humans understand and contextualize data (such as generative artificial intelligence) . It will become an integral part of smart factories and will become widespread on the shop floor. We will see clear differences between manufacturers who adopt this technology and those who do not. The main trends in artificial intelligence are obvious. It’s generative AI!! We’ve been working on increasing automation efficiency for years, and
2024
will be the year that generative AI makes a huge contribution to that. Expanding, the overall efficiency of the production line is increasingly constrained by the humans in the production process. So how to improve human efficiency? Generative AI provides mechanisms for the rapid transfer of institutional knowledge by providing humans with the right information at the right time. Reduce friction in your process, ultimately increasing uptime and profits!
”
Jan Nieswandt,
SICK
,
Product Marketing
Manager
"In 2024
, smart factories will continue to advance, driven by artificial intelligence, the Internet of Things and advanced robotics. We look forward to a more connected and intelligent manufacturing environment that not only emphasizes agility, real-time analysis and enhanced automation, but also increases output and product quality. Cybersecurity measures will be a top priority, and the collaborative interaction of humans and robots will become a focus of the workforce. In short,
2024
is expected to achieve a transformation to more efficient, adaptable, and sustainable smart factories . Transformation. Artificial intelligence will continue to bring potential to many areas of industrial manufacturing. Areas such as quality control, predictive maintenance or supply chain optimization will continue to benefit from the implementation of artificial intelligence, both for service providers and users. Becoming a critical factor. Leveraging edge computing to speed up data processing not only enables real-time decision-making, but also maintains a high level of user trust in decision-making. Data and data management themselves are important assets for AI business providers and should be considered. Strong advantages that differentiate it from competitors. On the other hand, users can only fully utilize the potential of artificial intelligence if they are open to artificial intelligence technology and understand the basic principles of artificial intelligence.
"
Madeleine Mickeleit,
CEO and founder of IoT UseCase Berlin Expert Network
"
The
"
IoT-enabled
"
smart factory of
2024
poses a new
"
chicken-and-egg
"
question:
Which comes first, business applications or connectivity? Clearly, both must go hand in hand. These factors (including cultural factors) The interaction between them will increasingly determine the success or failure of the digital production world.
I predict that in
2024
,
solutions that use
IoT data and
ML
algorithms in parallel will be more widely used. Pilot projects integrating large language models (
LLM
) have been launched. These advanced algorithms enable new types of interactions and process controls in industrial environments. An example in this area includes
the growing number of trials of systems such as
"shopfloor.GPT"
, which leverage
LLM
capabilities to streamline production processes through natural language input. Users can use voice commands to find instructions, plan maintenance, and analyze and interpret machine data. This enables businesses to quickly pinpoint the cause of a malfunction and quickly troubleshoot it with the help of artificial intelligence assistants.
I think the key is to identify solutions that are already working in specific applications and choose technologies with high market maturity and real monetization potential. These developments will significantly influence and shape future industrial business models.
Sascha Bütterling,
DACH
Sales Director
,
Enterprise
SaaS
,
Supplyframe
“
Smart factories play a pivotal role in digital transformation by seamlessly integrating the digital realm with the physical world.
In
2024
,
driven by technological advancements such as
the Internet of Things
(IoT)
, artificial intelligence
(AI)
, machine learning and robotics, The development of smart factories will continue to evolve. As
part of
Siemens Digital Thread
,
Supplyframe
contributes
to the vast interconnected scenario called
the
"
Industrial Metaverse
"
.
In this field, digital twins. Go beyond individual products to encompass the entire life cycle from design and sourcing to manufacturing and supply chain processes.
The development of technology nodes in the electronics field brings both major challenges and a wealth of new opportunities. At the same time, one of the most impactful advancements stems not from technology but from shifts in design methods. Today, it is even more important to have a
360
-degree view of the product, and integrating components into the design requires a complete understanding of lifecycle and supply chain dynamics. This approach is critical to preventing costly redesigns and ensuring profitability throughout the product's lifecycle. To succeed in this dynamic environment, you must embrace novel collaborative practices and real-time insights that drive fundamental shifts in how individuals approach work.
"
Thomas Hüsch, Softing IT NetworksTechnical
Support and Training
"
We see that in the next few years, the transmission focus in the industrial field will be on industrial Ethernet and increasing the data transmission speed of industrial Ethernet. This will obviously increase the possibility of network failure. With the development of Ethernet, there is a need for qualification test methods and Demand for equipment will also increase.
All future network factory equipment should meet future higher network speed requirements (
4
-pair wiring). In addition, these devices should also
be tested for network speed capabilities up to
10Gbit/s
.
This should also be certified by a cable certifier, at least by a cable appraiser, not just a wire diagram tester.
Additionally,
appropriate records should be provided for these devices.
"
Dr.
Stephan Middelkamp
General Manager, Quality and Technology, HARTING Technology Group
"
The development and increased awareness of generative AI is also driving the development of smart factories. The possibilities demonstrated by generative AI tools increase the demand for similar possibilities in the industrial sector. To achieve this goal, we also The digital shadow of the factory will be needed. This will rely on the development of data in the past few years, and the aggregation of data into comprehensive data models. This year, we will see more and more use cases through classic. Algorithms or artificial intelligence evaluate collected data to achieve measurable process improvements.
The third Industrial
Ethernet Week will be held from
February
27
to
29
,
2024.
Welcome to gather with HARTING and experts from global market leaders. Over three days, our speakers will take you through the current state of industrial transformation through in-depth use cases, discussions, presentations and technical sessions, and show you the
next steps and best solutions for 2024
.
practice
.
Are you interested
?
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