New research by Elastic (NYSE: ESTC), the company behind Elasticsearch®, found nearly all (99%) global IT decision makers, regardless of region or industry, recognize GenAI’s transformative potential to influence change within their organizations. However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.
New Research from Elastic Finds Conversational Search Could Yield Staggering Productivity Returns
Conversational Internet is Digitizing the Other Half of the World
In this contributed article, Beerud Sheth, co-founder and CEO of Gupshup, discusses the future of Generative AI beyond ChatGPT. In this new era of Conversational Internet, the chatbot is the new website, and the messaging app the new browser
Evolution of Conversational Intelligence in Healthcare
In this contributed article, Michael Armstrong, Chief Technology Officer at Authenticx, discusses how AI-driven tools play an increasingly significant role in analytics, including those used to improve customer experience, by extracting valuable, actionable data insights. AI and ML enable healthcare organizations to more effectively listen to — and better understand — their customers’ voices and solve common issues or barriers.
Conversica Survey Shows Chatbot Customer Experience Significantly Impacts Vendor Evaluation for One-Third of B2B Buyers
Conversica, Inc., a leading provider of AI-powered conversation automation solutions for enterprise revenue teams, announced the findings of a new survey titled Chatbot Experience: How Satisfied Are Enterprise Buyers? The study found that while the majority of B2B buyers use chatbots when considering a business purchase (60%), the chat experience does not meet their expectations.
Got It AI Develops AI to Identify and Address ChatGPT Hallucinations for Enterprise Applications
Got It AI, the Autonomous Conversational AI company, announced an innovative new “Truth Checker” AI that can identify when ChatGPT is hallucinating (generating fabricated answers) when answering user questions over a large set of articles or knowledge base. This innovation makes it possible to deploy ChatGPT-like experiences without the risk of providing incorrect responses to users or employees.
Why Your Call Center Needs AI-powered Conversation Intelligence
In this contributed article, Brian Steele, VP Product Management at Gryphon.ai, discusses how conversational AI tools in call centers are developing language modeling and predictive analytics to help sales representatives streamline the sales process.
7 Ways Chatbots Improve Life
Our friends over at Yellow.ai have put together a list of 7 ways that Chatbots are being used to engage, analyze, and ultimately satisfy the end user, customer and employee for today’s forward thinking companies. Gartner research predicts that by 2026, the chatbot industry will grow into an $8.8B business.
Interview: Dr. Susan Hura, Chief Design Officer at Kore.ai
I recently caught up with Dr. Susan Hura, Chief Design Officer at Kore.ai to discuss the bank-end work that goes into developing an intuitive conversational AI-supported chatbot. She’ll also dispel some of the myths behind developing and introducing a CAI-empowered chatbot into a business’s digital platform. Whether used out-of-the-box or customized, a chatbot’s design plays a more strategic role than one might think and requires an immense amount of human input to create.
Infographic: Increasing Lead Engagement with AI
The infographic in this article 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.
3 Ways AI Can Boost Conversational Intelligence Across Your Enterprise
[SPONSORED POST] Artificial Intelligence can both help and scale human effort in building the conversational intelligence across the enterprise that drives successful business outcomes. In this eBook from Veritone, we will explore three common use cases of AI applied to customer conversations: contact center insights, social media insights, and conversational compliance.