Innovation Week 4 PDF

Innovation Week 4 Assoc. Prof. Evrim İldem DEVELİ Digital Transformation & Industry 4.0 https://www.twi-global.com/what-we-do/research-and- technology/technologies/industry-4-0 Digital Transformation Digital transformation or digitalization is the process...

Innovation Week 4 Assoc. Prof. Evrim İldem DEVELİ Digital Transformation & Industry 4.0 https://www.twi-global.com/what-we-do/research-and- technology/technologies/industry-4-0 Digital Transformation Digital transformation or digitalization is the process of integrating digital solutions in business processes to provide value to their customers and become more competitive. It is different from digitization (the use of digital technologies in business) as it demands innovation and culture change for a massive transformation of the organization. Digital Transformation Process transformation. The primary goal of a process transformation is to make internal processes more straightforward and efficient. Business model transformation. Domain transformation. Cultural/organizational transformation. Digital Transformation 1. Mobile Technology Mobile Technology is a fundamental element to drive digital transformation. According to the latest survey, 71% of CEOs believe that mobile solutions are more important than IoT and cloud computing for transformation, while 29% rank it as the second most important technology. This demonstrates that almost all business leaders understand the importance of mobile technology in digitalization.  Digital Transformation Mobile devices increase the speed and frequency of interactions between companies and their customers. These interactions allow access to real-time data that is nearly impossible to replicate through any other means. They also allow marketers to collect valuable data to grow their existing customer base or develop new markets. Businesses are leveraging tools such as QR Code generators to create QR Codes that can provide a truly mobile-first experience.  Digital Transformation Similarly, a mobile-friendly interface is crucial for every organization's online presence. For member-based organizations, this means creating applications, websites, and online communities that are optimized for mobile devices. Ux : user experience https://www.youtube.com/watch?v=SRec90j6lTY Digital Transformation The Internet of Things (IoT): consists of a large network of connected systems that can collect and share information without manual input. The technology links the sensors of the devices with a centralized IoT platform that extracts and stores data from them. These are then analyzed to share valuable information with the leaders. IoT can also identify which data is useful and which can be safely discarded. It can be used to identify patterns, suggest solutions, and forecast possible issues. Digital Transformation The Internet of Things (IoT): Member-based organizations can use IoT solitary or in combination with other tools to accelerate digital transformation. It can boost efficiency, reduce costs, and future-proof their businesses by offering innovative solutions to their members. https://www.youtube.com/watch?v=DLH9p4vyvuM  Digital Transformation 3. Robotics According to the latest statistics, every one in four organizations uses robotics to incorporate digitization into their tasks. In contrast to traditional robotics, it is capable of interacting with humans and improving their performance based on the information it receives. Smart robotics when combined with AI and IoT can drive powerful results in companies. They can enhance user experience, boost efficiency, and improve productivity tenfold. A great example of smart robotics in member-based organizations is the use of gamification technology at virtual events to improve attendees' experiences. https://www.youtube.com/watch?v=1K2bRtcQqQY Digital Transformation 4. Artificial Intelligence And Machine Learning Artificial Intelligence and Machine learning go hand in hand when it comes to finding the best digital technologies in business. Digital Transformation 4. Artificial Intelligence And Machine Learning Artificial intelligence refers to the ability of computers to simulate what people think and do in the real world. It is incorporated in almost all high-end technologies we used today including smart devices, computer vision, natural language processors, and voice assistants. It allows companies including membership organizations to automate tasks, make faster decisions, and engage customers through chatbots. This is why AI marketing is on the rise, as it allows companies to craft more targeted campaigns and understand customers' needs better. Digital Transformation Machine learning is a category of artificial intelligence that focuses on the use of algorithms and data to emulate how human brains learn, gradually increasing its accuracy. It works by extracting insights and patterns from the input data. It allows systems to evaluate and contextualize data so that information or actions are automatically triggered without human assistance. Digital Transformation By using powerful digitalization tools such as machine learning and AI in their digital transformation roadmap and strategies, organizations can gain better insight into data and make more informed decisions more quickly. analyze data — to learn complex patterns and make predictions independent of human input.  https://www.youtube.com/watch?v=wodnLBlxnrg https://youtu.be/cloBztUJEGQ?si=LUNiN4UAw91m-lW4 Industry 4.0 Industry 4.0 is revolutionizing the way companies manufacture, improve and distribute their products. Manufacturers are integrating new technologies, including Internet of Things (IoT), cloud computing and analytics, and AI and machine learning into their production facilities and throughout their operations.  These smart factories are equipped with advanced sensors, embedded software and robotics that collect and analyze data and allow for better decision making. Even higher value is created when data from production operations is combined with operational data from ERP, supply chain, customer service and other enterprise systems to create whole new levels of visibility and insight from previously siloed information.  This digital technologies lead to increased automation, predictive maintenance, self-optimization of process improvements and, above all, a new level of efficiencies and responsiveness to customers not previously possible.  Using high-tech IoT devices in smart factories leads to higher productivity and improved quality. Replacing manual inspection business models with AI-powered visual insights reduces manufacturing errors and saves money and time. With minimal investment, quality control personnel can set up a smartphone connected to the cloud to monitor manufacturing processes from virtually anywhere. By applying machine learning algorithms, manufacturers can detect errors immediately, rather than at later stages when repair work is more expensive.  Industry 4.0 concepts and technologies can be applied across all types of industrial companies, including discrete and process manufacturing, as well as oil and gas, mining and other industrial segments. From steam to sensor: historical context for Industry 4.0 First industrial revolution Starting in the late 18th century in Britain, the first industrial revolution helped enable mass production by using water and steam power instead of purely human and animal power. Finished goods were built with machines rather than painstakingly produced by hand. From steam to sensor: historical context for Industry 4.0 Second industrial revolution A century later, the second industrial revolution introduced assembly lines and the use of oil, gas and electric power. These new power sources, along with more advanced communications via telephone and telegraph, brought mass production and some degree of automation to manufacturing processes. From steam to sensor: historical context for Industry 4.0 Third industrial revolution The third industrial revolution, which began in the middle of the 20th century, added computers, advanced telecommunications and data analysis to manufacturing processes. The digitization of factories began by embedding programmable logic controllers (PLCs) into machinery to help automate some processes and collect and share data.  From steam to sensor: historical context for Industry 4.0 Fourth industrial revolution We are now in the fourth industrial revolution, also referred to as Industry 4.0. Characterized by increasing automation and the employment of smart machines and smart factories, informed data helps to produce goods more efficiently and productively across the value chain. Flexibility is improved so that manufacturers can better meet customer demands using mass customization—ultimately seeking to achieve efficiency with, in many cases, a lot size of one. By collecting more data from the factory floor and combining that with other enterprise operational data, a smart factory can achieve information transparency and better decisions.