Prediction of Industrial Processes Thanks to Machine Learning

  Enquiry / contact me

Machine learning is built upon pattern recognition and has the ability to independently draw knowledge from experience. For this reason, the technology has found its place in industrial processes

Artificial Intelligence

Prediction of Industrial Processes Thanks to Machine Learning
Prediction of Industrial Processes Thanks to Machine Learning

Prediction on the basis of large amounts of data can be made thanks to Machine Learning. This branch of artificial intelligence is built upon pattern recognition and has the ability to independently draw knowledge from experience. For this reason, the technology has found its place in industrial processes.

Artificial intelligence is no longer a vision for the future. Today, large data centers and enormous storage capacities make things possible that were believed for years to be distant concepts. Two branches of artificial intelligence, machine learning and deep learning, use the possibilities of big data to optimize processes, find new solutions, and gain new insights.

Algorithms form the basis

From small and medium-sized companies to large international corporations, every organization accumulates data that it can make use of. With software, this data is consolidated and evaluated to make predictions. Machine learning recognizes characteristics and relationships and uses algorithms to derive generalizations from them.

Big data for optimizing processes

With the help of properly analyzed customer, log, and sensor data, new solutions can be found and processes can be made more efficient, for example. In addition to masses of data, this requires an IT infrastructure that is adjusted to artificial intelligence processes and machine learning workloads. The exact tasks of the machine learning systems are clearly defined: to recognize patterns and draw conclusions from them. The findings can then be further utilized.

Current applications of machine learning

At present, the most commonly used learning method is image recognition. Other uses include digital assistants or intelligent bots, face recognition, speech recognition and speech processing, automated translation and transcription, text and video analysis, and autonomous driving.

Artificial intelligence in Industrie 4.0

In a smart factory, production processes are connected – machines, interfaces, and components communicate with one another. Large amounts of data can be collected to optimize the manufacturing process. Big data supports process optimization by using image analysis and image recognition, for example.

Digital monitoring and control

In production facilities, intelligent systems identify objects on conveyor belts and are able to automatically sort them. These types of systems are also used in quality control: They recognize product flaws, such as whether it is the wrong color.

Artificial intelligence and predictive maintenance

Companies today use machine learning in maintenance and support services. By means of sensors, artificial intelligence helps capture the energy consumption of individual machines, analyze maintenance cycles, and then optimize them in the following stage. Operating data indicates when a part must be replaced or where there is likely to be a defect. As the amount of data increases, the system becomes better at optimizing itself and making more accurate predictions.

Artificial intelligence expected to drive growth

According to experts, companies that use machine learning processes increase their economic performance. The biggest gains are expected in the IT and finance sectors, telecommunications, and the manufacturing industry.

Posted on September 3, 2018 - (186 views)
Related articles
Single-board Computer with 11th Gen Intel® Core™ U-series and Celeron® 6000 Processors
AI computing, Network Capabilities and Miniature Design in IPCs
The Power of Machine Learning: How PEMS can Provide Value for Emissions Monitoring
AI plug-in Card with Coral Edge TPUTM for Retrofitting
Industrial Image Analysis Software Providing Highly Reproducible Analysis Using AI
IERA 2021 Awarded to ABB's PixelPaint Solution
Xilinx Releases World’s Highest AI Performance-per-Watt
Sony Is Participating in The Pilot Project Run by Envision in Rome to Reduce Transport-Related Pollution and Pedestrian Accidents
Aston Martin Cognizant Formula One Team Is Back in The Race Thanks to Altair’s HPC Optimization
Box PC with AI-based Image Recognition
Box PC with AI-based Image Recognition
Fanless AI Box PC with 256 CUDA Core Processors
A Revolution of the Modern Data Center
BMW Chooses Inspekto to Bring AI to the Factory Floor
NVIDIA GPU Cloud Ready Modular Embedded PC
AI Platform based on Nvidia Quadro GPUs
ABB Launches New Analytics and AI Software to Help Producers Optimize Operations in Demanding Market Conditions
Rugged COM Express Type 6 Module
Camera-based Spindle Control
Compact Embedded PC with AI Computing Power
IERA 2021 Awarded to ABB's PixelPaint Solution
“Our Deep Learning AI Vision System is a Breakthrough in Itself”
AI Convention 2020 Replays: Omina Technologies
AI Convention 2020 Replays: Tilkal
AI Convention 2020 Replays: Oracle
AI Convention 2020 Replays: TIMi
AI Convention 2020 Replays: Hogan Lovells
Analog Devices Presented New AI-driven Platform at electronica 2020
Mouser's Digital AI Conference is now Available On-Demand
AI Platform based on Nvidia Quadro GPUs