It is a natural goal of any organization to maximize the return on investment of their machine learning (ML) projects. To do this, an organization must be aware of a number of pitfalls that can ...

So why are so many companies hesitant to jump on the machine learning bandwagon – and why is the success rate so low for those that do embark on these projects? Afterall, organizations such as ...

“Go with an easy implementation first, because high-value [projects] can be a hard place to start,” she advises. With that said, Applebaum stressed that it’s still important, even with easy machine ...

But from where I sit, running a company that enables a huge number of real-world machine-learning projects, it’s clear that machine learning is already forcing massive changes in the way ...

With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly. Machine learning is fast ...

Today, one of the startups building such a tool has raised some capital, Tara.ai, a platform that uses machine learning to help an organization get engineering projects done — from identifying ...

Traditional AI methods of language understanding depended on embedding rules of language into a system, but in this project, as with all modern machine learning, the system was fed enough data to ...