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Henry Iversen
CCO & Co-Founder @ boost.ai - Make customer experience your competitive edge with Conversational AI
Henry Vaage Iversen is a Co-Founder and Chief Commercial Officer at Boost AI, a company at the forefront of Conversational AI technology.
With a strong background in Economics and Management, Henry has a Master's degree in Strategy and Management and a Bachelor's degree in Economics from the University of Stavanger.
He has also studied Retail Management and Economics at BI Competence and Lundehaugen VGS respectively, showcasing a diverse educational background.
Henry's professional journey includes roles such as Business Developer, Controller, and Grunder Trainee at various organizations before co-founding Boost AI.
Boost AI specializes in creating AI-powered virtual agents that offer 24/7 customer service, automating repetitive tasks and allowing human agents to focus on more complex cases.
Notable achievements include helping Norway's largest bank, DNB, automate 55% of their online chat traffic within a few months, leading to a significant improvement in customer interactions.
Henry is passionate about the potential of Conversational AI to revolutionize customer engagement and is open to discussing how organizations can benefit from this technology.
For inquiries or collaborations related to Conversational AI, Henry Vaage Iversen can be contacted directly via InMail or at [email protected].
Highlights
In the past year, an increasing number of our customers have embarked on explorations with generative AI (GenAI), diving into the depths of this fascinating technology. And it's easy to see why. GenAI opens a world of possibilities, especially intriguing in our domain: conversational AI 🤖
Many providers are painting a picture of simplicity and instant results: pour all your data into a colossal Retrieval-Augmented Generation (RAG) system, and voilà, you have a functioning virtual agent in minutes. This zero-shot model, which many turn to, is indeed remarkable for a variety of use cases concerning virtual agents. It's particularly valuable when you're dealing with vast amounts of data that are challenging to frame as specific questions (or intents) and when the scenario tolerates occasional inaccuracies in responses. For rapid deployment and internal applications—think navigating a maze of HR policies—this approach is undeniably swift and efficient.
However, this one-size-fits-all methodology has its limitations. Not every virtual agent demands the same technological foundation, as their requirements can vastly differ. For instance, in scenarios where precision, control, and the ability to fine-tune are paramount—such as in customer service automation—this broad-stroke strategy falls short. The need for a more tailored, controlled approach becomes evident. 👮♂️
What I'm getting at is this: the technology underpinning virtual agents must be as diverse as the roles humans play, each requiring different training and capabilities tailored to their specific tasks. Just as in the workforce, where diversity in skill and approach is key to success, the same holds true for the virtual agents we deploy across various sectors and use cases.
#genai #generativeai #boostai #conversationalai
What is the true impact of generative AI in the world of conversational AI? 🤖 After our clients have utilized our embedded generative AI capabilities for a while, we are excited to present the actual results of integrating generative AI into their virtual agent. 💵 Please join our upcoming webinar with our partner Front AI and their CEO Jari Annala
Date: Wednesday, September 20th Time: 9.00-9.50 CEST (10.00-10.50 EEST)
Link in comments.
