Data, AI, & Machine Learning

Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.

Figuring out the right approaches to generative AI is a process replete with ambiguity, experiments, and changes of mind.

With a modest amount of training, nontechnical employees can automate complex processes and generate significant value for their organizations.

Data can help companies better understand and improve the employee experience, leading to a more productive workforce.

As companies optimize a wide range of supply chain functions with digital twins, the technology’s immense potential is gaining further recognition.