In today's digital world, Artificial Intelligence (AI) has become a key component of many business processes. Find out what you need to know about building an AI-driven company as well as how your organization can benefit from this emerging tech.
Worried you don't have enough data to train your machine learning models? Well, there are ways around it. This article explains how much data is needed for different AI applications and highlights tips on how to develop data strategy for your business and how to benefit from data augmentation methods.
Active pharmaceutical ingredients manufacturing is one of the most critical steps in the drug development process. Learn about how artificial intelligence can improve your production quality, increase yields and reduce operational costs.
Are you a business decision-maker who wants to implement an AI solution in your company but don't know where to start? Here are five tips that will help you on the way!
NWith artificial intelligence becoming one of the most exciting trends in tech today, businesses are raising questions about how to develop it. Should they outsource AI development or create their own in-house AI development team? Here's a breakdown on which approach is best for your next ML project.
Novel fleet management software based the use of AI and Machine Learning algorithms can reduce fleet costs by optimizing route planning, vehicle maintenance scheduling and fuel consumption forecasting. If you’re looking for an innovative way to reduce fleet costs and improve productivity, check out these five ideas for applying Artificial Intelligence solutions to fleet management.
How can we design ethical artificial intelligence (AI) systems? Artificial intelligence technology has the potential to transform our world positively — but only if we develop it responsibly. Here's what you need to know about designing responsible AI.
Advanced predictive analytics in chemical manufacturing can help companies boost their efficiency and profitability. This article highlights various use cases for predictive modeling in the chemical industry, including predictive maintenance or predicting final quality in batch manufacturing.
Artificial intelligence is being increasingly used in the telecommunications industry to analyze data, predict future trends and make informed decisions. We gathered a list of AI use cases that show some of the ways it's being applied in the telecom industry. This article explains how you can implement machine learning to create better products, provide stable telecoms services, and improve customer experience.
Learn about the importance of Process Analytical Technology (PAT) for biopharmaceutical manufacturing, and currently available novel approaches. Find out how modern PAT, based on machine learning and deep learning techniques, benefits pharmaceutical product quality and uniformity, reduces process cost, enhances yield and product safety.
Many organizations consider the implementation of custom AI solutions as a significant step in their digital transformation. However, ready-to-use artificial intelligence products can be just as effective and should not be overlooked. Find out where each solution brings the most benefits and decide which direction suits you best.
