Conversational artificial intelligence (AI) is a market that has grown exponentially in recent years and is expected to continue to advance by leaps and bounds in the near future. Conversational AI refers to technologies that aim to provide users with an experience as similar to human interaction as possible. It’s widely used in customer service settings, among other areas, and there’s a huge potential for its use by companies and businesses.
Using conversational AI allows artificial intelligence to answer queries, resolve problems, engage customers, collect information, execute transactions, and deliver services more quickly and efficiently compared with traditional methods. By streamlining operations, companies can boost productivity, efficiency, and revenue. Virtual agents and chatbots powered with artificial intelligence can recognize text and speech and communicate with real people. This is possible thanks to a combination of natural language processing (NLP), automated responses, and machine learning (ML).
The infographic below from our friends over at GetVoIP summarizes how conversational AI can help increase conversations. Conversational AI can keep leads engaged around the clock, disqualify bad leads, and shorten the sales cycle.
Join us on Twitter: @InsideBigData1 – https://twitter.com/InsideBigData1
Sign up for the free insideBIGDATA newsletter.
*
*
In this special guest feature, Petteri Vainikka, Vice President of Product Marketing at Cognite, outlines how organizations should approach the RFP process to find a DataOps partner. Provided is a list of five items to evaluate in your hunt for a DataOps partner
This whitepaper from our friends over at Profisee, reflects on why the state of data in most organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.
Copyright © 2022