Increasing patient demands for personalised healthcare, coupled with the lack of trained specialists, continue to add to the woes of the healthcare industry. While the amount of data available soars every day, AI is needed to make sense of it and deliver results and actionable insights.
Artificial intelligence can simplify the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.
AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency, AI has the potential to revolutionize the healthcare industry.
What can AI do for Healthcare?
Efficient diagnosis and reduction in error rates
Drug discovery and personalised medication
Patient data analysis & its validation with literature to deliver actionable insights
AI in healthcare can lead to better accessibility and improve general quality of life.
The logistics industry is seeking ways to cut costs, improve business processes, enhance customer service and supply chain visibility, manage inventory, and comply with ever-changing and ever more stringent regulations. Meeting all these challenges is a tall order.
Logistics companies can reap significant benefits in almost every aspect of the supply chain by adopting AI. The logistics industry generates huge amounts of data – and AI can put this data to work to initiate better processes, improved predictive demand forecasting, and reduce operational costs. AI will help logistics operators see, understand and interact with the world in a faster and more efficient way than ever before.
What can AI do for Logistics?
Robotics with Deep Learning algorithms can make autonomous decisions to track, locate and move inventory within warehouses
Driverless forklift trucks can increase warehouse efficiency and safety
AI-powered visual inspection methods can identify damaged goods and recommend appropriate actions to boost productivity
Automation and processing of routine tasks involving contracts, customer information, financial information, customs etc.
Automation and optimization of truckload and delivery planning
AI implementation in the logistics industry can lead to upto 10% faster deliveries through various optimisations, and reduce costs by upto 15% by better planning of resources.