As Artificial Intelligence becomes increasingly ubiquitous, it's developing a special relationship with edge computing. Consider these important factors as you develop your AI strategy
Artificial Intelligence (AI) is moving from the realm of science fiction to widespread enterprise scalability. Even ten years ago, AI workloads were almost exclusively utilized by a small number of very profitable companies that had the resources to experiment and hire an extensive team of data scientists. Today, AI is used in a number of everyday tools, from language recognition to health care prediction and nearly every industry in between.
AI is also now deployed at the edge, not just inside massive data processing facilities. That trend will continue in the coming years. Here are three things that executives in any field should know to capitalize on the change.
1. Open source is your friend
Open source is fueling the rise of AI as developers learn from the larger community to make software elements more accessible for a number of use cases. The open source community operates as a school of fish, pivoting quickly en masse in response to the environment. For example, TensorFlow became a hit within a month before the majority of developers converted to the library for deployment solutions. That fast a timeline was unheard of before.
Continue reading: https://enterprisersproject.com/article/2021/9/artificial-intelligence-ai-edge-3-key-facts
Artificial Intelligence (AI) is moving from the realm of science fiction to widespread enterprise scalability. Even ten years ago, AI workloads were almost exclusively utilized by a small number of very profitable companies that had the resources to experiment and hire an extensive team of data scientists. Today, AI is used in a number of everyday tools, from language recognition to health care prediction and nearly every industry in between.
AI is also now deployed at the edge, not just inside massive data processing facilities. That trend will continue in the coming years. Here are three things that executives in any field should know to capitalize on the change.
1. Open source is your friend
Open source is fueling the rise of AI as developers learn from the larger community to make software elements more accessible for a number of use cases. The open source community operates as a school of fish, pivoting quickly en masse in response to the environment. For example, TensorFlow became a hit within a month before the majority of developers converted to the library for deployment solutions. That fast a timeline was unheard of before.
Continue reading: https://enterprisersproject.com/article/2021/9/artificial-intelligence-ai-edge-3-key-facts
