In a previous post, I outlined four challenges to scaling AI: customization, data, talent, and trust. In this post, I’m going to dig deeper into that first challenge of customization. Scaling machine learning programs is very different to scaling traditional software because they…
Women in the AI field are making research breakthroughs, spearheading vital ethical discussions, and inspiring the next generation of AI professionals. We created the VentureBeat Women in AI Awards to emphasize the importance of their voices, work, and experience and to shine…
I recently interviewed Shyamala Prayaga, Autonomous Digital Assistant Vision Lead at Ford. She discusses some of the unique challenges faced when adding voice applications to vehicles, why humanizing privacy and ethics is so important, and some of the data privacy issues related…
The visual artificial intelligence technology will be deployed at 2,500 stores. Major grocery store chain Kroger announced it plans to roll out Everseen’s Visual AI technology to all of their 2,500 stores. Everseen’s AI and machine learning platform was first tested in select stores…
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. In recent years, deep learning has proven to be an effective solution to many of the hard problems of artificial intelligence….
The increasing complexity of telecom networks and services and the exponential growth in the amount of data generated have gone beyond the capacity of manual calculation. Telecom operators therefore are increasingly compelled to embrace AI to help them properly manage their networks,…
