Gartner’s 2017 Hype Cycle Highlights Eight New Technologies
The Gartner “Hype Cycle for Emerging Technologies, 2017” report includes eight new technologies: 5G, artificial general intelligence, deep learning, deep reinforcement learning, digital twin, edge computing, cognitive computing and serverless platform-as-a-service (PaaS). The research firm determined that these technologies are poised to have the greatest potential for competitive advantage over the next five to 10 years, CloudTech reports.
By tracking evaluations of more than 2,000 technologies, Gartner was able to determine which ones show the most promise for the years to come. The firm also determined the three most dominant trends in emerging technologies: artificial intelligence everywhere, transparently immersive experiences and digital platforms. Moreover, key platform-enabling technologies include 5G, digital twin, edge computing, blockchain, Internet of Things platforms, neuromorphic hardware, quantum computing, serverless PaaS and software-defined security, according to CloudTech.
Technologies no longer included in the Hype Cycle include context brokering, affective computing, gesture control devices, 802.11ax, data broker PaaS, micro data centers, natural-language question answering, personal analytics, smart data discovery and virtual personal assistants.
Key Hype Cycle Takeaways
Tech giants are quickly pursuing patents in machine learning and deep learning — a trend that is expected to gain even more momentum in the future. Gartner anticipates that 80 percent of data scientists’ tool boxes in 2018 will include deep-learning applications and tools, CloudTech reports.
In the decade ahead, 5G adoption will provide significant gains for scalability, security and speed of global cellular networks. By 2020, Gartner predicts that 3 percent of network-based mobile CSPs will launch 5G networks commercially. And organizations will most regularly use 5G to support IoT communications, high-definition video and fixed wireless access from 2018 to 2022.
Artificial general intelligence is poised to become pervasive over the next 10 years and become “the foundation of AI-as-a-service,” CloudTech notes. Gartner foresees AI-as-a-service as the core technology that will enable and lead to AI everywhere.
Gartner also predicts certain technologies will reach mainstream adoption, such as autonomous vehicles, 4-D printing, brain-computer interfaces, human augmentation, quantum computing, smart dust and volumetric displays.