This online training provides an overview of the different aspects of innovation and explores how new technologies can help accelerate and improve the innovation process. Participants will gain a better understanding of the importance of innovation and the tools and technologies that can help them apply innovation in their respective organizations.
Participants will learn about the different aspects of quality and how to identify and solve problems and opportunities. They will explore the concept of effectiveness and efficiency and how innovation can act as an accelerator for improvement. Next, participants will dive into the key technology enablers for the future manufacturing and understand the first steps towards technology convergence. They will explore topics such as connectivity, Virtual / Augmented / Mixed Reality, Internet of Things (IoT), Robotics, Additive Manufacturing (3D printing), Cloud, Data Mesh, Blockchain, Advanced Analytics & Big Data, and Artificial Intelligence.
Throughout the training, participants will be presented with use cases to help them understand and apply the concepts, tools, and technologies discussed. Upon completion of the training, participants will have a better understanding of the importance of innovation and the tools and technologies available to help them innovate in their respective organizations.
In addition to exploring the different aspects of innovation, this training also covers the importance of sustainable innovation. Participants will learn about topics such as circular economy and sustainable design, and how these concepts can help create more eco-friendly solutions that benefit both businesses and the environment.
With the knowledge and skills gained from this training, participants will be able to identify opportunities for innovation and use the latest tools and technologies to make real, meaningful changes in their organization.
What is a real problem for the company? Those problems that are deemed worthy of resolution and have a significant impact on the business.
Understanding processes through SIPOC and Effectiveness and Efficiency analysis.
Innovation as an improvement accelerator and the change management plan.
SUMMARY of the section in 2 minutes
Introduction for the section
Connectivity is the heart of innovation, enabling new advances across a wide range of industries and applications. With the emergence of 5G, WiFi 6, and new systems such as satellite internet, we are entering a new era of connectivity that promises to transform the way we live and work. However, we must also be mindful of the risks associated with these new technologies and take steps to secure them against cyber threats. By doing so, we can ensure that connectivity continues to drive innovation and progress for years to come.
The Internet of Things is transforming the world around us, presenting both challenges and opportunities. As we continue to embrace this exciting technology, it is essential that we remain vigilant about the risks and work together to ensure a safe and secure future for all. The analogy of IoT as the "five senses" of connectivity is a powerful one that highlights the transformative potential of this technology. By enabling devices to sense and respond to the physical world in new ways, IoT is driving innovation and creating new opportunities for businesses and consumers alike.
The use of new devices such as VR, AR, and Mixed Reality can help capture key information from the shop floor in new and innovative ways. This information can then be used to provide live status updates on the product, which can be valuable for decision-making.
By capturing data through new devices and sensors in a more meaningful way, we can accelerate the use of data analytics and AI algorithms, improving the effectiveness and efficiency of our processes and driving continuous improvement.
We explored the potential of harnessing blockchain technology as a foundation for Data Mesh and Data Product Architecture. Blockchain, a decentralized, distributed ledger, provides a secure, transparent, and immutable way of storing business events and transactions. Its key features, such as decentralization, immutability, and security, make it an attractive option for organizations looking to implement advanced data strategies.
By integrating blockchain into Data Mesh and Data Product Architecture, organizations can create a decentralized, secure, and tamper-proof foundation for their data ecosystem. This approach aligns with the principles of Data Mesh, such as domain-oriented data ownership and decentralized governance. Furthermore, blockchain's decentralized nature supports the self-serve data infrastructure principle, empowering domain teams to access and interact with the data they need without relying on a central authority.
Some of the key benefits of incorporating blockchain technology into Data Mesh and Data Product Architecture include enhanced security and trust, improved transparency and auditability, decentralized data management, and greater collaboration and innovation among domain teams. These benefits can drive innovation and deliver greater value to stakeholders.
Big data, advanced analytics, and artificial intelligence are driving a paradigm shift in the industrial world, unlocking new possibilities and transforming the way we work. With the foundation of data availability, the power of AI can be harnessed to revolutionise industrial environments, from manufacturing to logistics and beyond.
By democratising access to these technologies through low-code solutions like Landing.ai or OpenAI, we can ensure that the benefits of AI are widespread and not limited to only a few large corporations. As we continue to explore the potential of big data, advanced analytics, and AI, we must remember the importance of ethical considerations, workforce transformation, and the need for personalised experiences across industries. Together, these innovations hold the key to reshaping our world for the better.
The distinction between physical robots and digital robots (RPA) and their roles in automating tasks across industries.
The convergence of robotics development with artificial intelligence, unlocking new potential benefits and applications.
Ethical considerations, such as the use of military robots and the need for regulation and oversight.
The transformation of the workforce, with a focus on activities that machines cannot do and the importance of human skills.
The efficiency improvements brought by robotics in repetitive tasks and the benefits for businesses and workers.
Real-life examples of robotics implementation and the challenges faced during the process.
The future of robotics, including upcoming trends and technologies that could shape the industry.