These benefits echo the two key benefits of Composite AI outlined by Gartner. It enables organisations to automatically infer insights, strengthen team decision-making abilities and enhance operational efficiencies. Gartner explains that Composite AI refers to the combined application of different AI techniques to improve the efficiency of learning to broaden the level of knowledge representations and, ultimately, to solve a wider range of business problems in a more efficient manner.ĮLEMENT combines multiple AI technologies machine/deep learning, natural language processing, contextual analytics, cognitive computing, and knowledge graphs. The field of Composite AI is listed amongst the most transformational (offering the highest benefit) to enterprises, and the closest to mainstream adoption (2 to 5 years). In both Hype Cycles, BlackSwan is listed within the field of Composite AI alongside long time industry leaders such as IBM, SAS Institute and FICO, illustrating the strength of BlackSwan’s flagship product ELEMENT™, the world’s first AI Operating System. Gartner’s Hype Cycle of Data Science and Machine Learning (DSML) analyses how accelerated digitisation is driving the urgency to productise experimental data science and machine learning initiatives. Gartner’s Hype Cycle for Artificial Intelligence focuses on AI initiatives that accelerate enterprises’ digital transformation of their core operations. This marks the second year in a row since it went off stealth in 2019, that BlackSwan’s have been named in two of Gartner’s Hype Cycles. For Artificial Intelligence, and for Data Science and Machine Learning. These human-machine interactions from Universal Everything are inspired by the Hype Cycle trend graphs produced by Gartner Research, a valiant attempt to predict future expectations and disillusionments as new technologies come to market.BlackSwan Technologies named within the field of Composite AIīlackSwan Technologies is delighted to have been listed in two 2021 Gartner Hype Cycles. Set in a spacious, well-worn dance studio, a dancer teaches a series of robots how to move. As the robots’ abilities develop from shaky mimicry to composed mastery, a physical dialogue emerges between man and machine – mimicking, balancing, challenging, competing, outmanoeuvring.Ĭan the robot keep up with the dancer? At what point does the robot outperform the dancer? Would a robot ever perform just for pleasure? Does giving a machine a name give it a soul? It builds on the studio’s past experiments with motion studies, and asks: when will machines achieve human agility? Machine Learning is the second set of films in the Hype Cycle series.
Hype Cycle is a series of futurist motion study films exploring human-machine collaboration through performance and emerging technologies.
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