The hybrid workforce will continue through 2021, so it is critical to provide 24/7 support for employees who are struggling to be productive working from home. At the same time, the recession is forcing enterprises to cut costs—which means you can’t just add more agents to solve the problem. As a result, intelligent automation of employee self-help has become an imperative.
Implementing a virtual agent for employee self-help is a great idea but hiring data scientists and computational linguists to make it happen is nothing short of a science experiment. Without a large amount of data (i.e., user interactions and time), it will fail. Can you afford to take that risk? In this webinar you will learn:
- How to de-risk the decision to implement a virtual agent
- What is required to deploy in 6 weeks with ROI on day 1
- Real-world examples of enterprises who have achieved success
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Chief Product Officer, Espressive
As the first ever product manager hired at ServiceNow, Fran is intimately familiar with the IT service management (ITSM) market. Fran has a wealth of experience in both artificial intelligence (AI) and natural language processing (NLP) and is a pioneer for conversational chatbots. He is an expert in blending consumer design principles with the best AI technologies to create exceptional self- help experiences. Prior to being chief product officer at Espressive, Fran held leadership positions at ServiceNow, BMC Software, and CA Technologies. As director of product management at BigPanda, Fran helped organizations process a storm of data into meaningful inputs they could react to.