Self-driving cars get all the publicity, but other industries are already getting exceptional value from AI-based systems paid Oracle
, a startup whose on-board technology turns a conventional excavator or bulldozer into a self-operating robot.
Three big challenges set the construction industry's innovation agenda: improving safety, combating a labor shortage, and increasing productivity, says Burcin Kaplanoglu, executive director, innovation officer, of Oracle's Construction and Engineering unit. Which kinds of construction tasks will autonomous equipment do? Likely"dull, dirty, and dangerous work," says Kaustubh Pandya, a principal with, an industry venture capital firm. Technical feasibility in autonomous vehicles has rapidly advanced,"though we need to shape it to meet the constraints of construction," Pandya says."We have to be able to retrofit old equipment, operate in low connectivity areas, and mix autonomous and semi-autonomous equipment.
Diagnoses are only one way autonomous systems could change healthcare. Such systems could speed up the allocation of equipment, beds, doctors, nurses, and orderlies across hospitals without human assistance. For example, hospital administrators “could participate in clinical trials that they haven't had the bandwidth to take on,” Laborde says. “They could investigate new technologies, such as trying out chatbots on the hospital website. They could get more involved in community health initiatives in their area.”Human + Machine: Reimagining Work in the Age of AI
. The first-of-its-kind “self-driving” autonomous database from Oracle, which builds on the company’s decades of engineering work to automate tasks for DBAs, now adds machine learning to deploy, tune, patch, upgrade, secure, and back itself up with no human intervention.Brake Parts Inc. For example, Abate has taken it upon himself to learn how data is used throughout the company’s brake factory and financial operations. “As a DBA you can help people understand how to get data to and from all these applications and systems,” he says. “Now a key skill set for people like us is going to be moving data to the cloud and back again.”
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