Articles

I debated whether to call this article “how to turn one intern into 1,000,” but it felt a little too click-baity. That said, with machine learning the possibilities and opportunities for engaging the machine to do the work of hundreds if not thousands of humans is within reach.

Data isn’t always sexy, but the dynamic use of it can be quite alluring. That’s why we’re loving another AI-chatbot application using GraphQL.

I could see the wheels turning. As I answered questions from the 20 practicing attorneys at a recent training session, their curiosity was peaked at the possibilities of utilizing AI to increase productivity. I was invited to the Continuing Legal Education (CLE) session to answer technical questions on the application of AI for practicing law and running a legal firm. Their interest in AI was not on industry disruption but on increasing efficiencies. It didn’t take long before the conversation turned to “How can we eliminate repetitive tasks?”

Maybe it’s the engineer in me? One person I was talking to said for businesses, AI is more about “blocking and tackling.” And that might be an apt description if you like sports metaphors. Many of the ideas we’re exploring start with “wouldn’t it be great if we could...” Two such projects have emerged out of the Skapa AI laboratory that I want to share with you.

Some think Terminator-style bots are coming for us. At Skapa, we’re looking at AI as a powerful opportunity to help organizations grow. In many ways, it feels like 20 years ago when “smart phones” were coming out and impact the way we live and work. It’s these times when I think about the quote that we tend to overestimate the rate of change in the short term and underestimate it in the long term.

With business environments evolving to more remote work, e-Learning is more and more looked upon to do the heavy lifting for training and testing. For those with internal development teams, it is often the obvious choice to design and create platforms in-house.