Artificial Intelligence (AI) technologies are moving from customized deployments in specific domains towards generic solutions horizontally permeating vertical domains and industries. For instance, decisions on when to perform maintenance of roads or bridges or how to optimize public lighting in view of costs and safety in smart cities are increasingly informed by AI models. While various commercial solutions offer user friendly and easy to use AI as a Service (AIaaS), functionality-wise enabling the democratization of such ecosystems, open-source equivalent ecosystems are lagging behind. In this chapter, we discuss AIaaS functionality and corresponding technology stack and analyze possible realizations using open source user friendly technologies that are suitable for on-premise set-ups of small and medium sized users allowing full control over the data and technological platform without any third-party dependence or vendor lock-in.

About half of enterprises are using some form of artificial intelligence (AI), mostly in their off-the-shelf IT automation software--but that doesn't mean they are doing it right, analysts from IDC said. Artificial intelligence, which some companies may call cognitive software or machine learning, goes back to research on chess-playing computers of the 1950s; now it's best known for powering virtual assistants through your smart device. AI really earns its keep by helping IT staff keep their information infrastructure running. IDC analysts Peter Rutten and Ritu Jyoti talked with TechRepublic about how to do AI right. AI is hype... we're trying to be as realistic and empirical as possible about it," said Rutten, who covers the hardware side. The combined market for AI servers containing technology such as application-specific chips, field-programmable chips, graphical processing units, and processors with hundreds of cores will be $22 billion by the year 2022," he said.

Artificial intelligence can offer enterprises a significant competitive advantage for some strategic applications. But enterprise IT shops will also require DevOps infrastructure automation to keep up with frequent iterations. IT as a whole is making a noticeable shift towards a DevOps culture. So what do skills do you need to keep yourself relevant in this new environment? You forgot to provide an Email Address.

Artificial intelligence can offer enterprises a significant competitive advantage for some strategic applications. But enterprise IT shops will also require DevOps infrastructure automation to keep up with frequent iterations. Click to learn how users have made it more user-friendly, and how previous adopters have benefited from its use. You forgot to provide an Email Address. This email address doesn't appear to be valid.