Elizabeth Wallace

Unlike many other fields that experienced significant disruption during the pandemic, the marketing analytics software market experienced huge gains.

Those driving the most success will be able to handle data and implement technologies that drive value for customers first and foremost.

Companies can leverage edge computing to help reduce their ecological footprint.

Without the heavy processing load of past models, this new image generation model creates images in seconds running on consumer GPUs.

The complexity of retail is begging for more investment in AI/ML to determine how much it can improve the way companies interact with customers and each other.

The technology could speed development, research, and virtual environment rendering – potentially shortening development and reducing the cost to deploy such virtual environment tools.

The AI model leverages a neural network to access risk by noninvasively analyzing breathing patterns while a person sleeps.

Manufacturers are eyeing 7-axis cobots, which are collaborative robots designed to interact directly with humans in a shared space, to help automate the textile industry.

The new robots leverage modern mobility standards, and both the platform and arm are rated cleanroom class ISO 3.

The misunderstandings business leaders have about the inner workings of AI and machine learning processes could continue to hamper adoption.

Although public perception is changing, there’s still a serious disconnect. The public today still isn’t quite sure what positive benefits AI brings to their lives.

Companies are trying to address supply chain challenges by leveraging cutting-edge technologies including robotics, edge computing, and artificial intelligence.