Aerospace and Defense Review : News

The use of AI in the aerospace sector allows businesses to streamline the production of various components and reduce safety issues. AI is also capable of evaluating feedback from multiple sources and process large volumes of data in a short period. Labor costs, human errors, and health and safety concerns are just some of the challenges that the aerospace industry faces today. Ensuring smooth functioning in the industry becomes even more difficult given the highly time-consuming manufacturing and development procedures. Artificial Intelligence (AI) has proved to be extremely useful across sectors like finance, advertising, retail , and healthcare. Off late, the aerospace industry has also benefitted by the AI-enabled services in overcoming the challenges it faces. According to reports, 80 percent of top-level executives within the aerospace and defense industry believe that every aspect of the workforce will be AI-influenced by 2021. The use of AI in aerospace allows businesses to streamline the production of various components and reduce safety issues. AI is also capable of evaluating feedback from multiple sources and process large volumes of data in a very short period. Here are eight benefits of using AI in the Aerospace and Defense Industry Product Design Across the aerospace industry, lightweight and durable components are preferred for the manufacturing of the aircrafts. Manufacturers have begun using generative designs combined with AI algorithms . This allows them to explore multiple options without wasting much time. AI-enabled generative designs combined with 3D printing can also be used to produce various components. Implementing these techniques can help streamline design and manufacturing procedures. Improving Fuel Efficiency Billions of gallons of fuel are consumed every year by airlines globally. The fuel consumption by commercial airlines is expected to reach 97 billion gallons in 2019 alone. With carbon footprint reduction becoming an essential agenda for most companies, fuel consumption rates have become a significant concern for all airlines. An airplane consumes maximum fuel during the climb phase of its journey. By using AI, it is possible to analyze the amount of fuel consumed by different aircrafts and different pilots during the climb phase. Based on this data, profiles can be prepared for each pilot, which can help airlines to implement appropriate strategies to manage fuel consumption rates efficiently. Improving Maintenance and Operational Efficiency Speed, air pressure, and altitude are all monitored using multiple sensors in an aircraft. These sensors also record crucial data such as temperature, moisture, and pressure in different parts of the plane. Using AI, it is possible to collect and analyze these data within no time. It can also notify pilots about any abnormalities in the functioning and suggest the most suitable ways to fix it. AI algorithms also help in preparing a proper maintenance schedule which can help avert major crises. It helps manufacturers improve their operational efficiency by identifying real-time problems and preventing significant losses. Improving Pilot Training Using a combination of Virtual Reality and AI, it is possible to develop simulated training programs for pilots. AI simulators are capable of generating realistic simulations of flying experiences. AI algorithms accumulate and analyze accurate training data and help identify the strengths and weaknesses of each pilot. This can be used to create personalized training programs as per the requirements of the pilots. Managing Air Traffic Air traffic control is one of the core tasks of airports and airline authorities. The large number of passengers that opt for air travel makes the process even more complicated. Intelligent assistants powered by AI can help pilots make informed decisions by suggesting alternate routes to make air travel safer and faster. Use of smart cameras, along with AI algorithms, can help identify aircrafts when they exit/enter the runway. This is helpful, especially during low visibility conditions. Usage of such data can help the traffic controllers maintain a clear runway for the next airplane. Identifying Threats AI algorithms can help in identifying and categorizing threats and risks. This is possible with the aid of machine vision , machine learning and geo-spatial signal processing. AI models can be trained using images and videos from previously recorded data. Once trained, these algorithms can identify a threat or a risk in different scenarios. These algorithms are multi-purposeful as they can be used for commercial, civil, and military purposes. Check Out this:  S2 Corporation Identifying Passengers Security of passengers is of the highest priority for commercial airlines. Effective solutions provided by AI algorithms help ensure the safety of passengers in many situations. AI-enabled smart cameras with facial recognition software can identify people with criminal records and in turn, prevent crimes. These programs are also being used to avoid malicious activity at airports. Customer Servicing The use of AI in aerospace industry enhances the customer experience in the commercial airline sector. The use of AI-powered chatbots helps increase customer interactions. Chatbots also enable 24/7 customer service facilities. They are capable of performing a wide array of functions, including assisting customers in booking and cancelation of tickets.       ...Read more

Technologies like Blockchain, Cloud Computing and Artificial Intelligence (AI) have now become the center of discussion at the global level. With disrupting almost all the economic sectors, these innovations have made their place in the Aerospace and Defense (A&D) industry as well. Aerospace and defense experts see potential in the blockchain technology to solve various challenges like supply chains with multiple (Shifting) participants across the globe create inefficiencies. Aerospace and Defense sector is a paper-based industry. The worry is that these paper records are time-consuming, prone to error and also leads to duplication of documents. Here blockchain steps forward to provide a secure and transparent framework. 1.   Cost-effective and Immutable: Blockchain provides a safe tracking structure and also audit transactions across numerous supply chains. The innovation is profitable as it eliminates the need of a third-party and the details remain among the concerned parties. Moreover, it is difficult to hack all the nodes of a blockchain structure. 2.   Certification of parts, partners, and people: Security is a crucial aspect in the aviation industry . The traceability and visibility from manufacturing until the installation is significant for safety and compliance and other reasons as well. Blockchain offers an enhanced accuracy in process quality, service history, and regulatory compliance. 3.   Management of design: Blockchain offers advanced features wherein a digital thread is created that captures asset configuration from the initial plan to the last step. It helps in improving the engineering-manufacturing integration, availability of assets and also enhances the accuracy of service history. Check Out :   Top Aerospace Manufacturing Companies 4.   Entitlement and rights for software, service, and warranty: The confirmation by the employees, customers, and partners who have the right to use the software, services, and warranty of a product and service has always been a huge issue. Blockchain structure can assist in improving asset performance. 5.   Management of multi-echelon supply chain: A multi-echelon system is the one that relies on layers of suppliers who are distributed across numerous distribution centers and the one that is based on outsourced manufacturing. Here, blockchain can manage all the supply chain visibility across all the tiers of the supply chain by improving the tracking mechanism and by facilitating coordination among the supply chain partners. Check Out Review Of CIOReview :  Crunchbase ,  Glassdoor Check This Out :  CIOReview Overview ,  Muckrack   ...Read more