Authenticx was recently featured in VentureBeat for a discussion about conversational AI
Unstructured data is by its very nature difficult to wrangle. But unstructured conversational data? It is one of the hardest sources of data to manage, said Amy Brown, founder and CEO of business-to-business (B2B) software-as-a-service (SaaS) startup Authenticx.
“AI allows organization of this really messy data source,” Brown said. Still, she said, “it takes a commitment and a desire to use that data source.”
“For someone who’s just exploring for the first time conversational intelligence or conversational AI, I would say that it’s like listening at scale. It’s listening to a bidirectional conversation. AI allows us to pull out at scale big themes that leaders may want to dive deeply into.”
Amy Brown
Conversational AI, often referred to as natural language processing (NLP) or natural language understanding (NLU), helps computers listen to, understand and extract meaning from human language. These tools are rapidly being adopted across enterprises as organizations look to improve customer experiences in an increasingly digital age.
According to Allied Market Research, the global conversational AI market was $5.78 billion in 2020 and is expected to grow to $32.62 billion by 2030 – representing a compound annual growth rate of 20%.
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ABOUT AUTHENTICX:
Authenticx was founded to analyze and activate customer interaction data at scale. Why? We wanted to reveal transformational opportunities in healthcare. We are on a mission to help humans understand humans. With a combined 100+ years of leadership experience in pharma, payer, and healthcare organizations, we know first-hand the challenges and opportunities that our clients face because we’ve been in your shoes.
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