Tag: Machine Learning (ML)

The semiconductor industry is the backbone of technological innovation, powering everything from smartphones to cloud computing infrastructure. However, semiconductor manufacturers face mounting pressures to deliver better performance, efficiency, and reliability at lower costs. Key semiconductor industry challenges include: Design complexity and longer development cycles: Advanced semiconductor designs are incredibly complex, leading to prolonged design verification […]

In the high-stakes arena of manufacturing, where product quality can make or break market reputation, using visual intelligence effectively remains the linchpin of excellence. Visual intelligence, in this context, refers to the application of artificial intelligence (AI) precision to enhance visual quality inspection (VQI), seamlessly integrating visual data with operational metrics like overall equipment effectiveness […]

In the oil and gas industry, rig reports are essential for monitoring the performance and operations of drilling rigs. These reports contain a vast amount of unstructured data, including comments from rig personnel regarding rig activities such as drilling progress, equipment maintenance, process interruptions, and safety observations (Figure 1). In blog #1, we discussed a […]

In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]

Introduction Machine learning (ML) has become a core technology in manufacturing, but it can be difficult to know which ML services and tools are best for your industrial operations. We will define and explain the use cases of when to use different Amazon Web Services (AWS) ML services. In an age of rapid innovation, manufacturing […]

To personalize the customer experience, BMW Group uses data to power artificial intelligence (AI) and machine learning (ML) solutions from Amazon Web Services (AWS). All workflows must comply with stringent data privacy laws that vary among the 140 countries where BMW operates. BMW Group’s solution After obtaining permission from vehicle owners, BMW Group ingests data […]

After a three-year hiatus, NRF 2023: Retail’s Big Show was back in full force this January featuring the best of retail and retail tech. 35,000 attendees. 175 sessions. 1,000+ exhibitors. The buzz was intoxicating as positive energy from retailers and technology partners filled the air in spite of recent economic headwinds. Amazon Web Services (AWS) […]

Retailers use demand forecasting to anticipate customer needs and optimize supply decisions. Like most industries, demand forecasting in retail industry uses large amounts of historical data to predict future consumer demand. These forecasts depend upon analyses of variables that impact demand, such as seasonality, promotions, inventory levels, and market trends. Prediction accuracy is influenced by […]

While industries are recovering from the disruptions created by the COVID-19 pandemic, consumer packaged goods (CPGs) continue to deal with major challenges like inflation, changing consumer preferences, and fluctuations in the oil and energy markets. A recently published McKinsey study shows that, during the COVID-19 pandemic, 75 percent of US consumers switched brands or stores […]

Re:Invent 2022 is behind us, and if you didn’t make it to Las Vegas, you missed an exciting week of keynotes, sessions, announcements, and other content to help simplify and speed industrial digital transformation. Industrial customers had a lot to see and explore in the expo, Industry demo tent, and a variety of sessions. Highlights […]