Espressive in the News
Espressive Barista: Transforming the Employee Experience with a Virtual Agent Employees Actually Use
Intellyx | April 11, 2019Enterprises have invested countless dollars and resources trying to reduce internal employee support costs incurred in the form of IT help desks, HR service centers, and other enterprise support functions. The goal has been to deploy employee portals, intranets, and related self-service approaches to keep employees from needing to leverage these costly internally-facing resources.
Database Trends and Applications | April 1, 2019The IT landscape is constantly being reshaped and contoured as organizations mature, and others merge or are acquired. Startups that seek to address new challenges are also on the horizon.
KMWorld | March 18, 2019
Espressive, a pioneer in AI for enterprise service management (ESM), has announced additions to its AI-based virtual support agent (VSA), Barista, which includes the new Barista Employee Language Cloud. With the additions, Barista goes beyond conversational chatbots to enable digital transformation of ESM to improve the delivery of AI-based employee self-help.
EnterpriseAI | February 22, 2019Until it undergoes laborious, data-intensive training by data scientists, AI is a tabula rasa, unknowing as a babe unborn. But what if AI came pre-loaded with specialized knowledge covering 60 or 70 percent of the training and development needed for its assigned task?
Ovum | February 20, 2019The advance of CRM and the focus on serving the customer has created an unintended consequence. While customers can find things, get queries answered, and have problems resolved quickly and easily, employees are like the cobbler’s shoeless children – queries and problems do not get solved quickly, and identifying the correct person or department is a lottery.
AiThority | February 20, 2019Espressive, a leader in AI for enterprise service management, announced its vision of a world where employees get help without friction at the Pink19 IT Service Management (ITSM) Conference. Historically, ITSM vendors have focused on solving the problems encountered by the service desk, rather than focusing on the employee experience.
AiThority | February 19, 2019Espressive, the pioneer in AI for enterprise service management, has released the findings of a new Pulse Report focusing on the top IT service management (ITSM) strategies and initiatives for 2019. The report revealed that AI-based consumer-like apps will be critical to further digital transformation for key ITSM initiatives such as reducing help desk call volume and mean time to repair (MTTR).
451 Research | February 19, 2019In 2017, we anticipated that the chat bot hype would transition into a larger trend encompassing workflow-centered approaches focused on redefining the end-user experience. Our assessment was that, while chat bots and intelligent assistants showed great potential – particularly for use cases in customer support, productivity apps and conversational commerce – there were still challenges to be addressed, including the incorporation of contextual understanding and machine learning (ML) to enable natural conversations.
VMblog | February 6, 2019Customers traditionally have used IT Service Management (ITSM) tools to improve back office processes. More recently, IT set its sights on further embracing digital transformation by engaging employees via an effort to shift left.
The Enterprisers Project | January 21, 2019Artificial intelligence skills are hot. It’s time to stop bemoaning the lack of AI talent and start training up existing staff. As artificial intelligence use cases expand inside all types of businesses and industries, you can expect another sequel to a timeless IT hiring story: The Skills Shortage, AI edition – coming soon to a team near you.
EnterpriseAI | December 20, 2018Years ago, the future was much more opaque. Now, it’s tangible, visible, it’s rising up all around us. A favorite quote from 2018: “I don’t predict the future, I observe it” (futurist Gerd Leonhard).
Forbes | December 12, 2018Artificial intelligence (AI) is everywhere, driven by large investments, lots of startups, all established technology vendors, and enterprises big and small experimenting with what it can do for their bottom line. 120 predictions for AI in 2019 did not exhaust the subject, so here are 20 more.