Deep Learning and its Application in various Industries
A system like this that can navigate just with on-board sensors shows the potential of self-driving cars being able to actually handle roads beyond the small number that tech companies have mapped.
Virtual assistants are literally at your beck and call as they can do everything from running errands to auto-responding to your specific calls to coordinating tasks between you and your team members. With deep learning applications such as text generation and document summarizations.
Content editing and auto-content creation are now a reality thanks to Deep Learning and its contribution to face and pattern recognition. Deep Learning AI is revolutionizing the filmmaking process as cameras learn to study human body language to imbibe in virtual characters.
AI is also being exceedingly being used in clinical research by regulatory agencies to find cures to untreatable diseases but physicians' skepticism and lack of a humongous dataset are still posing challenges to the use of deep learning in medicine.
Fraud detection techniques are essential for every fintech firm, banking app, or insurance platform, as well as any organization that gathers and uses sensitive data.
Deep Learning uses real-time updates to sense obstacles in their path and pre-plan their journey instantly. It can be used to carry goods in hospitals, factories, warehouses, inventory management, manufacturing products, etc.
Deep learning models can boost fuel efficiency and delivery time by analyzing real-time data about vehicles and drivers.
Supply chain management
Supply chain management space where simple algorithms are not able to achieve high levels of accuracy.Optimize their supply chain operations and production schedules and Achieving efficient inventory management help to reduce purchasing costs of raw material