The 25 emerging technologies to watch on the Gartner Hype Cycle for Emerging Technologies in 2022 included Causal AI for the first time.
Gartner recently annouced that Causal AI is a “must-know” emerging technology that has the potential to deliver a high degree of competitive advantage over the next 2 to 10 years. Melissa Davis, VP analyst at Gartner stated, “It is essential that organizations cut through the noise surrounding emerging technologies to accelerate change by leveraging innovations that drive competitive differentiation and efficiency“. Autonomic systems and causal AI are supporting accelerated AI model creation and deployment.
Accelerated AI Automation: AI adoption is expanding as an integral part of products, services and solutions. This is accelerating the creation of specialized AI models that can be applied to automate model development, training and deployment. AI automation refocuses the role of humans in AI development, resulting in more accurate predictions and decisions and faster time to expected benefits.
The technologies that are supporting accelerated AI automation are autonomic systems, causal AI, foundation models, generative design AI and machine learning code generation.
Geminos Software is the first end-to-end Causal AI development platform that supports Causal Modeling, Causal Analysis and Causal AI application and BI deployment.
Accelerated AI Automation: AI adoption is expanding as an integral part of products, services and solutions. This is accelerating the creation of specialized AI models that can be applied to automate model development, training and deployment. AI automation refocuses the role of humans in AI development, resulting in more accurate predictions and decisions and faster time to expected benefits.
The technologies that are supporting accelerated AI automation are autonomic systems, causal AI, foundation models, generative design AI and machine learning code generation.
Geminos Software is the first end-to-end Causal AI development platform that supports Causal Modeling, Causal Analysis and Causal AI application and BI deployment.