Rasa named a “Cool Vendor in Conversational AI platforms” by Gartner

Leading Conversational AI Company Offers Transformational Technology, with Open Source & Community at its Core

Rasa Technologies, the company providing the standard infrastructure layer for conversational AI, has been named a Cool Vendor in Conversational AI Platforms, October 2020 by Gartner.

Gartner Cool Vendor research identifies innovative vendors, products, and services that represent rising trends within the industry. The report also provides recommendations for teams to evaluate their conversational AI technology stack, accelerate process automation for digital transformation initiatives, deploy the latest innovations in conversational AI, and deliver impactful user experiences.

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Key findings in the report include:

• “Natural language understanding is improving rapidly with new techniques, allowing for more sustained and complex conversations.”
• “Dialogue is moving from informational to transactional, with a tighter integration with business processes.”
• “Open-source machine learning frameworks are typically first to market with new conversational AI innovations.”

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Rasa also was named a Sample Vendor in 9 Gartner Hype Cycle reports, published in July and August 2020:

• Hype Cycle for Natural Language Technologies, 2020 (July)
• Hype Cycle for Artificial Intelligence, 2020 (July)
• Hype Cycle for IT in the Middle East, 2020 (July)
• Hype Cycle for Business Process Services, 2020 (July)
• Hype Cycle for the Digital Workplace, 2020 (July)
• Hype Cycle for User Experience, 2020 (July)
• Hype Cycle for Application Architecture and Development, 2020 (July)
• Hype Cycle for Customer Services and Support Technologies, 2020 (August)
• Hype Cycle for Smart City Technologies and Solutions, 2020 (August)

Rasa is listed within the ‘transformational’ categories of NLU & Chatbots.

“We’re thrilled to be named a Gartner Cool Vendor,” said Alex Weidauer, CEO & co-founder of Rasa. “To us, this recognition signals the momentum of open source software among developers and enterprises looking to create conversational AI applications at scale.”

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