Today, it's more important than ever to practice data-driven decision-making. Analytics can help a company unlock valuable assets that drive strategic decisions.

Thanks to advancements in edge computing, computer vision applications can run real-time data processing and analysis, which is not just reducing energy and bandwidth burdens, but is also ...

Manoj Gudala, Global Lead IT Business Analyst at Kellanova, is advancing enterprise analytics with a hands-on approach to BI, data governance, and user-focused solutions, while championing the ...

Computer vision analytics enables exterior parking lot cameras to detect the arrival of customers to pre-determined areas, alerting associate in real-time to fulfill or deliver an order.

Human-surveillance technologies have advanced in the past few years with the rapid development of artificial intelligence (AI ...

Simon Zhang will spearhead effort to unlock Mercury's deep data and analytics resources to fuel the company's innovation efforts and improve customer experiences LOS ANGELES, Feb. 8, 2024 ...

Data Dependency: Computer vision systems require massive amounts of labeled data to train their algorithms effectively. Without a large, diverse, and high-quality dataset, the performance of ...

Northwestern’s AI Institute for the Sky (SkAI) is redefining space exploration through the power of AI. With a $20 million grant from the National Science Foundation and the Simons Foundation, SkAI ...

By George Trujillo, Principal Data Strategist, DataStax - To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine ...

Thanks to advancements in AI, computer vision and deep learning, this kind of contextual awareness is possible. This is the second wave of video analytics. What Are Wave 2 Analytics?

Typically, computer vision requires large amounts of data and computer power to effectively train a machine learning system. Tom Sadler is HP’s data science and AI solution lead in the UK and ...