The Negative Environmental Impact Of Robotics An increasing reliance on robotics-driven automation for your business functions adversely affects the environment in ways you may not be aware of. This is a part of a wider problem that is the adverse environmental impact of AI.

Robot-powered automation is the present and future of all functions—organizational or otherwise. Accordingly, organizations have started training their personnel to work alongside intelligent automation tools in such a way that…

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The Future Of Last-Mile Logistics: Delivery Robots Or Drones? Autonomous delivery through either robots or drones allows you to make your product distribution and supply chain cycles quicker and cheaper. So, out of the two, which option should you choose for last-mile delivery?

With a wide variety of options at their disposal today, customers seek maximum convenience while they switch back and forth between different e-commerce sellers. Once they zero in on an…

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Smart implants have a bone to pick with regular implants With the rapid advancement of technology in the medical field, smart implants embedded with sensors and 3D printing have the capability to replace the traditional implants in use completely.

Of late, the latest technologies such as AI and IoT, have transformed and are continuously transforming the whole medical field for the better. The use of AI and IoT technologies…

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How ‘green IT’ can make smart cities sustainable Cities worldwide are embedding smart technology to collect data and analyze it, and to manage resources efficiently.Green IT can help governments to find smart solutions to make smart cities environmentally sustainable.

Cities provide people with opportunities to improve their quality of life. Hence, the population of cities is growing at an increasing rate. To meet the needs of the expanding population…

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How Computer Vision And Blockchain Help Material Tracking And Counterfeit Detection Real-time material monitoring and quality control are becoming increasingly achievable through computer vision and blockchain in manufacturing, delivery and other supply chain processes.

Counterfeits in the supply chain are notoriously difficult to track and eliminate nowadays. In 2020, losses incurred due to counterfeits accounted for more than 26 billion euros for certain industries….

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3 Best Practices For Predictive Data Modeling Predictive modeling is used to develop models that use past occurrences as reference points for organizations to forecast future business-related events and make clever decisions. It is heavily involved in the strategy-making processes of companies in industries such as healthcare, law enforcement, pharmaceuticals and many more. The practices that can be used to make predictive data modeling error-free can be of great importance to everybody.

Predictive data modeling involves the creation, testing and validation of data models that will be used for predictive analysis in businesses. The lifecycle management of such models is a part…

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