Collecting, storing and tracing healthcare data in compliance with the safety standards and regulations is always a troublesome task. The first and foremost application of artificial intelligence development
is to digitize the healthcare data by ensuring faster, secure and more consistent access. Moreover, alignment of health data with predictive analytics can help in taking timely, informed decisions and coming up with an individually customized treatment plan. Consumer wearables and other medical devices integrated with AI technology is applied to detect the early stages of life threatening diseases so that doctors and caregivers can monitor and treat the conditions better. Drug research and discovery is another prominent application of artificial intelligence in healthcare. Upgrading the research and development efforts, cutting down the time to market for new drugs and their costs, and assessing clinical trials to avoid dreadful events, AI and ML technology can provide innovative opportunities for pharmaceutical companies in the near future. Cybersecurity
As security breaches and cyber attacks becomes increasingly common, businesses across the globe have been searching for an effective solution to combat threats and stay safe. Applications using Machine learning as well as artificial intelligence plays a crucial role in detecting and blocking malicious activities on computer networks. Mainly involving computer algorithms and deep learning, AI applications are integrated with the ability to interpret patterns and make predictions.
Addressing issues proactively by enabling better predictions, AI and ML technology applications have a profound impact on threat hunting, vulnerability management and network security. When paired with human intelligence, advanced AI solutions can help enterprises to identify, manage, and protect against threats effectively. Logistics and supply chain
Augmentation and automation features of AI can enhance the productivity and profitability of logistics and supply chain. As the volumes of data in supply chains and logistics increases everyday, the need sophisticated solutions is more than ever. Whether it is about processing orders efficiently or reducing operational costs, AI has the potential to make the entire process of supply chain management more streamlined and accurate. AI computing techniques such as machine learning and deep learning could be used to recognise business patterns, learn different procedures, seek information and analyse data intelligently. According to the McKinsey reports, firms could gain $1.3 trillion to $2 trillion a year by utilizing AI in supply chain and manufacturing.
There are a few specific aspects where artificial intelligence can be used to improve the operation efficiency of logistics and supply chain management. Using chatbots for operational procurement is a case in point. Assisting in streamlining the procurement related activities, chatbots are mainly used for its communication abilities. Another major application of AI is the use of AI-enabled robotics, conversational interfaces, and autonomous vehicles in logistics operations.
AI-powered tools and systems can improve the overall productivity and efficiency of business operations, with visible effects towards the bottom line. AI’s potential to transform human lives go well beyond the hype, as it opens up a new world of opportunities.