Data science and machine learning are trending upward even while many areas of the economy face headwinds due to COVID-19, according to recent survey data released by venture capital firm Wing.

We invited KUNGFU.AI’s Steve Meier on recruitAbility’s “Nothing’s Sacred” podcast to discuss the AI services firm and other questions related to the growth of AI in the workplace.

Billionaire entrepreneur and Dallas Mavericks owner Mark Cuban is investing in the future of artificial intelligence through his Mark Cuban Foundation AI Bootcamps.

The competition for talent in artificial intelligence, machine learning, and data science continues to rise. Salaries are also increasing, and we share compensation data for the jobs that we’ve placed in 2019-2020.

Forecasting severe weather events using AI has the potential to save millions of lives. Sensors that provide real-time data are enabling scientists to make smarter predictions than ever before.

With the rise of automated journalism (aka algorithmic journalism or robot journalism), the written word faces major changes due to AI technology. Companies like Bloomberg and The Washington Post already use automated journalism in their operations.

Artificial intelligence is now being used to create synthetic voices that contain human emotion, allowing companies to produce voiceover work at scale. Companies who are innovating in this field are addressing ethical concerns along the way.

Sentiment analysis is a way to apply machine learning to glean insights from data. The aim is to understand the feel and the tone in a given segment of text. It’s a useful technology for brands to measure how they’re perceived.

The Internet of Things is a global trend that has a huge impact on our everyday lives. We examine this technology and the role of artificial intelligence and machine learning.

You may be surprised to learn how often your voice and text are manipulated by machines. Natural language processing is one of the most common applications of machine learning technology.

Artificial intelligence and machine learning are so integrated into everyday life that most people overlook the technologies. Recommendation engines are the most common use cases. We explore how these systems work and the companies who utilize them.