Smart Robots and AutoML are at the peak of the Hype Cycle in 2019.
Technologies in the Innovation Trigger phase of the Hype Cycle often lack usable, scalable products with commercial viability not yet proven. AI Marketplaces, Reinforcement Learning, Decision Intelligence, AI Cloud Services, Data Labeling, and Annotation Services, and Knowledge Graphs are now showing signs of potential technology breakthroughs as evidence by early proof-of-concept stories.
Gartner considers the following AI technologies to be on the rise and part of the Innovation Trigger phase of the AI Hype Cycle.
Some marketplaces are used within an organization to support the internal sharing of prebuilt algorithms among data scientists.
AI Marketplaces – Gartner defines an AI Marketplace as an easily accessible place supported by a technical infrastructure that facilitates the publication, consumption, and billing of reusable algorithms.
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.