Based in Switzerland, our scope is to provide reliable consulting services ranging from Inspection to Big Data & Machine learning applied to industry.
Consulting
We can provide consulting solutions for document like welding books, NDE procedures, testing procedures, as well as trained inspectors and expeditors with skill inspection vessels, heat exchangers, valves, chemical reactors, compressors, pumps, welding supervisors &inspectors and coating/corrosion inspectors
Big data
Big data refers to the massive amounts of data that are generated and collected every day from various sources. This data can be used to gain insights and make informed decisions. With the help of big data, companies can solve problems in forecasting and predictions.
By analyzing large volumes of data, companies can identify patterns and trends that would be impossible to detect with smaller datasets. This can help them make more accurate forecasts and predictions about customer behavior, market trends, and product demand. For example, a company could use big data to analyze social media data to predict consumer sentiment and adjust their marketing strategies accordingly.
Big data can also be used for predictive maintenance in industries such as manufacturing and transportation. By analyzing sensor data from machines and vehicles, companies can predict when equipment is likely to fail and perform maintenance before a breakdown occurs. This can help companies save money on costly repairs and reduce downtime.
In addition, big data can be used for fraud detection in the financial industry. By analyzing transaction data, companies can identify suspicious patterns and prevent fraudulent activities before they occur.
Overall, big data can provide valuable insights that can help companies make better-informed decisions and solve complex problems in various industries. However, to take advantage of the potential benefits of big data, companies must have the right infrastructure and analytics tools in place to manage and analyze the data effectively.
As Edward Deming said ” Without data, you are just another person with opinion”
Machine learning
Big data refers to the massive amounts of data that are generated and collected every day from various sources. This data can be used to gain insights and make informed decisions. With the help of big data, companies can solve problems in forecasting and predictions.
By analyzing large volumes of data, companies can identify patterns and trends that would be impossible to detect with smaller datasets. This can help them make more accurate forecasts and predictions about customer behavior, market trends, and product demand. For example, a company could use big data to analyze social media data to predict consumer sentiment and adjust their marketing strategies accordingly.
Big data can also be used for predictive maintenance in industries such as manufacturing and transportation. By analyzing sensor data from machines and vehicles, companies can predict when equipment is likely to fail and perform maintenance before a breakdown occurs. This can help companies save money on costly repairs and reduce downtime.
In addition, big data can be used for fraud detection in the financial industry. By analyzing transaction data, companies can identify suspicious patterns and prevent fraudulent activities before they occur.
Overall, big data can provide valuable insights that can help companies make better-informed decisions and solve complex problems in various industries. However, to take advantage of the potential benefits of big data, companies must have the right infrastructure and analytics tools in place to manage and analyze the data effectively.