Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.
Almost 1 in 10 persons are getting sick due to the consumption of adulterated food, out of which 420 000 people die every year. This is partially one of the reasons why consumers have diminished their trust in the food industry. No doubt, world governments need to carry out frequent checks for contamination on food samples. But, such tests are still not enough to identify the provenance of the contaminated food products. Blockchain, a technology that is known for helping industries that face trust issues, can help the food industry address its problems too. With blockchain, every stakeholder who is involved in the industry can access relevant details about a food product. Hence, blockchain can help food producers and retailers in tracking the food supply chain to know more information about safety, provenance and authentication thereby helping them rebuild the trust of consumers
Blockchain and autonomous vehicles is a perfect match. The combination of both concepts facilitate monetary transactions and mitigate the risks of hacking.
The application of augmented reality (AR) in supply chain management can help to speed up production, reduce machines' downtime, minimize in-house costs to achieve shorter sales processes, thus boosting worker engagement and enhancing overall productivity.
Thanks to a decentralized blockchain-based network that has a trusted ledger, recruiters can validate applicants' resumes, monitor evaluation scores, and assess their skills.
Artificial intelligence can support doctors by analyzing thousands of medical papers using natural language processing to inform treatment plans. Every technology has its own set of strengths and weaknesses. In the following article, we will explore the challenges of artificial intelligence in the healthcare industry.
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