DataForce Blog

According to Valuates Reports, the conversational AI market is projected to reach $32.62 billion by 2030, up from $5.78 billion in 2020. While it is clear chatbots and their uses are growing, it’s important to understand what a chatbot is exactly, its uses and benefits, and how it is being applied across industries, including life sciences.

When we say, “Alexa, help me grow my business,” you know who we’re talking to, right? This well-known virtual assistant is part of millions of households around the globe; and it’s not the only one. AI-powered voice assistants are set to reach 8 billion units by 2023.

Over the years, I’ve learned that AI may be present in organizations both large and small.However, regardless of the enterprise’s size, those embarking on their AI Journey may need some help. They’re lacking the experience and equipment from a data perspective. 

Pharmaceutical companies have historically relied on email correspondences, company websites, and physician hotlines as adverse event reporting channels.However, the incredibly high usage of social media means it is no longer a channel that can be ignored.

Have you heard of the human-in-the-loop (HITL) model?In a nutshell, it’s a method that’s put in place to achieve what humans and machines can’t do without the other. It helps provide high-quality data with a personal, human touch.

The TransPerfect DataForce team launched their first-ever DataForce Live event, the AI Revolution in Customer Care, hosted by our own Alex Poulis.

Annotation refers to the labeling of any kind of data. When you add labels to your smart phone contacts, you’re annotating data. Labeling makes it easier to retrieve your “favorites” or ignore calls from less-than-favorites.Annotation differs by data and content type. Here are other examples:

Chatbots are created for a purpose. Whether it is to entertain the user or to carry out some tasks, it interacts with the user. To build a chatbot, simple hard-coded rules can be written or NLP models can be made use of. In either case, data is the key to success.