Hyperautomation describes a mixture of advanced technologies – robotics, artificial intelligence, machine learning – currently being used to make automated processes drastically more efficient and to augment humans. It encompasses a range of tools which can be automated, especially the more sophisticated aspects of automation, including analysis, discovery, design, measuring, monitoring, and reassessing. To function […]
The Growing Impact of AI on Data Science in 2023
While AI’s ubiquity is becoming increasingly evident through everyday tools like chatbots, smart cameras, and smart content generation, there’s an expansive universe of less recognized but highly potent advancements poised to redefine how data scientists interact with and leverage the burgeoning volume and complexity of datasets. Emerging AI trends such as natural language processing, reinforcement learning, […]
Machine Learning Examples and Applications
A subfield of artificial intelligence, machine learning (ML) uses algorithms to detect patterns in data and solve complex problems. Numerous fields and industries depend on machine learning daily to improve efficiency, accuracy, and decision-making. Recently, ML technologies have been reinforced by two subfields of their own: deep learning (DL) and computer vision. Read on for real-world examples […]
Complete Guide to Image Labeling for Machine Learning
Image labeling enables you to tag and identify specific details in an image. In computer vision, image labeling involves adding specific tags to raw data, including videos and images. Each tag represents a certain object class associated with this data. Supervised machine learning (ML) models utilize labels to learn to identify a certain object class within unclassified […]
The Application of Synthetic Data Is Inevitable
Synthetic data is at an inflection point of utilization. The emerging technology is just beginning its adoption cycle and value to the enterprise, but change is on the horizon. According to my company’s recent survey, industry leaders believe that, on average, 59% of their industry will utilize synthetic data in five years, either independently or in combination with […]
How AI Is Making America’s Roads Safer
The future of cities will center around mobility, especially intelligent transportation systems (ITS) technologies. But to keep the flow of traffic smooth, municipalities and transit systems must employ a more integrated and data-driven approach, one that uses machine learning and artificial intelligence (AI). Across the globe, AI-based cameras have been installed in intersections and roadways, leveraging traditional […]
The Evolution of Natural Language Processing: 2021-2022
Last year, I wrote about my top four predictions for natural language processing (NLP) in 2021. As we approach 2022, a lot has happened in the world of artificial intelligence (AI) and machine learning, and NLP is behind a lot of that momentum. Growth has continued steadily, with 90% of tech leaders indicating that their NLP budgets have increased […]
The Benefits of Making Computer Vision Investments as a Retailer
Click to learn more about author Henry Bell. We live in a time when e-commerce giants like Amazon have raised the standards for customer experience. This has affected not only other online stores but traditional retailers as well. Offline stores are bound to become more reliant on data collection to provide their customers with a […]
AI Is Booming with Image Recognition, but Audio Recognition Lags Behind
Click to learn more about author Rachel Roumeliotis. Artificial Intelligence (AI) has made considerable inroads in the enterprise. Image recognition technology, in particular, has been gaining steam, helping users achieve tasks from assisting in screening and diagnosis of disease through medical imaging, to enabling self-driving cars to accurately interpret their surroundings. However, there is still […]
Training Artificial Intelligence Systems
Computer vision systems are driving some incredible developments. Convolutional neural network (CNN) algorithms are most commonly applied to analyzing visual imagery. That involves the “classification, detection, [and] segmentation of entities in the 2D space and analyzing temporal information in the 3D space, such as Action/Video,” says PR Krishan, VP and Global Head, Enterprise Intelligence Automation, […]