Pre-assessment Form Step 1 of 2 50% About YouFull Name*Email*Please use the same Email as the one you signed up with Phone Number* Product Engineering is the most important step in the Product Lifecycle*TrueFalseWhat type of entrepreneurial business actually produces the products they sell?*ManufacturingWholesalingRetailingServiceMachining is the most important step in the journey from idea to product*TrueFalseWhich one of the following statements is NOT a good practice for the Test step?*Be ready to be challenged on your solutionWhile testing, welcome any new idea that could emergeFocus on the positive feedback to maximize the outcomesIt is an opportunity to improve your solutionA Brainstorming session is…*There is no rule; it is up to the facilitator to decideA mix of individual & collective activitiesA collective activityAn individual activityWhich one of the following is not among the AI Computer vision applications in the industrial sector?*Process optimizationSupply chain managementRobotic guidanceDatabase ManagementPredictive maintenanceLogistics and warehousingEnergy managementSafety and security monitoringQuality control and defect detectionWhich one of these statements is TRUE about the Prototype step?*Your prototype has to be exactly like the final productYou must not make it onlineThe objective is to have people interacting with your productYou can consider anyone as a potential user of your productSelect the false statement(s) about Design Thinking ... [Check all that apply]* Design thinking involves only the following key steps to address startup challenges: understanding user needs, prototyping, and problem-solving. Design thinking promotes a deep understanding of the end-users, which helps in creating solutions that better meet their needs. You can interview your target users at any step of the Design Thinking approach. Design thinking is a process used for creative problem-solving What is the difference between classic computer vision and AI-based computer vision? [Check all that apply]* Classic computer vision relies on manual feature engineering and traditional algorithms. AI-based computer vision harnesses the power of machine learning and deep learning to learn features and adapt to various visual tasks automatically. Facial recognition was not possible with classic computer vision. The objective of a low-fidelity prototype is to… [Check all that apply]* Test fast and fail cheap Validate final concepts among your target audience Test more concepts at an early stage Assess the technical feasibility of the solution Evaluate the production costs Industry 4.0 is the fourth revolution that has occurred in machining*TrueFalse
