Although outside the planning horizon of most enterprises, quantum computing could have strategic impacts in key businesses or operations. Quantum Computing – Quantum computing has the potential to make significant contributions to the areas of systems optimization, machine learning, cryptography, drug discovery, and organic chemistry.Reinforcement Learning - Reinforcement learning has the primary potential for gaming and automation industries and has the potential to lead to significant breakthroughs in robotics, vehicle routing, logistics, and other industrial control scenarios.Edge AI - Edge AI refers to the use of AI techniques embedded in IoT endpoints, gateways, and edge devices, in applications ranging from autonomous vehicles to streaming analytics.Explainable AI – AI researchers define “explainable AI” as an ensemble of methods that make black-box AI algorithms’ outputs sufficiently understandable.Augmented Intelligence - Augmented intelligence is a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making, and new experiences.AutoML - Automated machine learning (AutoML) is the capability of automating the process of building, deploying, and managing machine learning models.AI Cloud Services - AI cloud services are hosted services that allow development teams to incorporate the advantages inherent in AI and machine learning.The new technologies include the following: The latest technologies to be included in the Hype Cycle for AI reflect how enterprises are trying to demystify AI to improve adoption while at the same time, fuel new business models. Eight new AI-based technologies are included in this year’s Hype Cycle, reflecting Gartner enterprise clients’ plans to scale AI across DevOps and IT while supporting new business models.The appearance and growing popularity of cloud computing and the always-on, always-available, limitless infrastructure environment have changed the infrastructure landscape,” Gartner said. “In general, infrastructure is no longer the key to strategic business goals. The shift in how people think about infrastructure is also a factor in how we view emerging technologies. “The shift from compartmentalized technical infrastructure to ecosystem-enabling platforms is laying the foundation for entirely new business models that are forming the bridge between humans and technology,” says Mike Walker, research vice president at Gartner. The move to digitalized ecosystems category involves emerging technologies like blockchain and digital twins. “For example, smart robots capable of working alongside humans, delivering room service or working in warehouses, will allow organizations to assist, replace or redeploy human workers to more value-adding tasks,” the company said in a blog post.
How will these categories evolve? Gartner expects democratized AI to elevate to the next level when it reaches the general public and creates a community of creators. Blockchain, conversational AI platforms, and edge AI were among the new additions, while other technologies, like virtual reality, that appeared in the 2017 version of the report left Gartner’s hype cycle. Gartner’s hype cycles detail how emerging technologies hit what the firm calls an “innovation trigger” and reach a “peak of inflated expectations,” before falling into a “trough of disillsionment” on the way to the “slope of enlightenment” and the “plateau of productivity.” The report says it “aim(s) to give you a deeper understanding of those individual technologies and their stage of development so you can effectively plan your innovation strategy for the year ahead.”įor 2018, the report added 17 new technologies that fit into the five categories of democratized AI, digitalized ecosystems, do-it-yourself biohacking, transparently immersive experiences, and ubiquitous infrastructure. Research firm Gartner has released its 2018 Hype Cycle for Emerging Technologies report, which found technologies like artificial intelligence platform as a service, blockchain for data security, and quantum computing reaching the peak of inflated expectations, while technologies such as mixed reality and blockchain were on the downswing of excitement.