![]() In addition to this Python-based machine learning framework, Cisco is also releasing extensive documentation and a step-by-step guide, called the Conversational AI Playbook. Today, Cisco is taking a big step towards empowering developers with more comprehensive and practical tools for building conversational applications by open-sourcing the MindMeld Conversational AI Platform. Easily build and test conversational AI applications Through this experience, the MindMeld team has formalized many of the techniques and best practices for building great conversational experiences in enterprise environments. Over the past five years, the MindMeld Conversational AI Platform has been used to build advanced conversational applications for some of the world’s largest organizations. In 2017, Cisco acquired MindMeld, which pioneered and commercialized one of the industry’s first Conversational AI platforms. While there is an abundance of academic research and open-source software covering the topic, there are few practical resources to help guide engineers toward building production-quality conversational applications suitable for enterprise deployment.Ĭisco, as the global leader in enterprise voice technology, has been at the forefront of many of the advances in Conversational AI over the past decade. The challenge however, is that nearly all software developers and data scientists still struggle to build truly reliable and useful conversational experiences for enterprise use cases. Given this widespread consumer adoption, many global corporations are investing heavily in Conversational AI to realize a similar game-changing transformation in the modern enterprise. Voice-enabled devices like the Amazon Echo and Google Home reside in over a hundred million homes and represent one of the fastest-growing product categories of all time. Virtual assistants like Siri, Cortana, Google Assistant, and Alexa field tens of billions of voice and natural language queries every month. The potential goes far beyond games.Over the past five years, conversational applications have entered the mainstream. Working together, humans and AIs will bounce ideas back and forth, each guiding the other to better solutions than would be possible alone. That’s because thinking is set to become a double act. The real story is that each win gives us a glimpse of how AIs will make us superhuman too. The company’s AIs then mastered chess and StarCraft – a game played with dozens of different pieces with hundreds of moves a minute.īut this isn’t just a case of humans being humbled by superhuman AI. In 2017, another of DeepMind’s AIs, AlphaGo Master, beat the world number one Go player a decade before most researchers predicted it would be possible. ![]() It was just the latest in a series of unexpected victories for machines that stretch back to chess champion Garry Kasparov’s 1997 defeat by IBM’s Deep Blue. “I wasn’t expecting the AI to be that good,” he said. After being thrashed 5-0, he was less cocky. Komincz was expected to be a tough opponent. Artificial intelligence company DeepMind invited him to face its latest AI, a StarCraft II-playing bot called AlphaStar, on 19 December 2018. One of the world’s best players of video game StarCraft II, Komincz was at the height of a successful esports career. “A realistic goal would be 4-1 in my favour,” he told an interviewer before the match. LIKE other human champions facing a machine opponent, Grzegorz “MaNa” Komincz rated his chances.
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