artificial intelligence guide
New artificial intelligence guide launched to help business decision making
CompTIA has launched a new artificial intelligence guide to help businesses in their decision making process. CompTIA, a nonprofit association for the information technology industry and workforce, offers guidance, answers questions and provides information to help organisations as more companies explore the viability of adding artificial intelligence into their business processes. Artificial Intelligence in Business: Top Considerations Before Implementing AI was produced by the CompTIA Artificial Intelligence Advisory Council, a group of thought leaders and innovators committed to accelerating the adoption of artificial intelligence and machine learning technologies. "Artificial intelligence is already prevalent in many business processes and applications used daily, and there are almost limitless other opportunities where it can be utilised," says Annette Taber, senior vice president for industry outreach and relations at CompTIA. "However, artificial intelligence processes are complex," she says.
Artificial intelligence guides rapid data-driven exploration of underwater habitats: Mapped onto one of the world's largest multiresolution 3D photogrammetric reconstruction of the seafloor
This project demonstrated how modern data science can greatly increase the efficiency of conventional research at sea, and improve the productivity of interactive seafloor exploration with the all too familiar "stumbling in the dark" mode. "Developing totally new operational workflows is risky, however, it is very relevant for applications such as seafloor monitoring, ecosystem survey and planning the installation and decommissioning of seafloor infrastructure," said Thornton. The idea behind this Adaptive Robotics mission was not to upturn the structure of how things are done at sea, but simply to remove bottlenecks in the flow of information and data-processing using computational methods and Artificial Intelligence. The algorithms used are able to rapidly produce simple summaries of observations, and form subsequent deployment plans. This way, scientists can respond to dynamic changes in the environment and target areas that will lead to the biggest operational, scientific, or environmental management gains.
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