Collaborating Authors

AI Applications – New applications added (almost) every day.


Like Prospera's AI application, iUNU's application wants to help farmers by placing cameras on tracks installed in their greenhouse ceilings. These cameras will use computer vision to identify health problems with growing plants.

8 ways to successfully get AI and analytics into production


"When you build a production analytic or AI system, there are two parts of the problem. One is having the right data and data access, and the other part of the problem is the analytics: actually running the software to analyze the data. Analytics applications require a lot of coordination, and with the increasingly widespread containerization of applications, it's essential to have a way to coordinate processes running in containers. Kubernetes, an open-source orchestration system for managing deployment of containerized applications, is emerging as a leading solution. But to avoid being limited as to which applications can be containerized, you need a data platform with the capability to persist data (state) from containerized applications as a variety of data structures.

How is Artificial Intelligence Changing the App Development Process?


It's an undeniable fact how a mobile application can add more simplicity and comfort to our lives. There are positively plethora of apps out there that demonstrate this point. Customization has added another layer to applications that can adjust and change following the client. Organizations like Apple and Amazon have shown the effect that human-made brain power can have on a machine unit with developments like Siri and Alexa. These voice-controlled AI applications assist users with their daily errands and chores.

IAAI-13 Preface

AAAI Conferences

Welcome to the Twenty-Fifth Annual Conference on the Innovative Applications of Artificial Intelligence (IAAI-13), the premier conference focusing on applied AI research ranging from exciting new potential ap- plications to innovative deployments of AI technology.

Enterprise Machine Learning in a Nutshell (Repeat)


Machine learning enables computers to learn from large amounts of data without being explicitly programmed to do so. We can already see how machine learning gives rise to new intelligent applications, from self-driving cars to intelligent assistants on our smartphones.