How can Advanced Manufacturing take NZ forward? Advanced manufacturing involves the use of technology to supercharge the manufacturing sector. Already an incredibly pivotal part of our nation’s economy and operations, there is real value to be found in unlocking the full potential of our manufacturers. The implementation of smart products and processes such as artificial intelligence, robotics and 3D printing are just some of the key ways we can look to automate, digitise and further develop operations. New Zealand hopes to reach the level of manufacturing represented by Industry 4.0 – a blueprint made up of a series of government initiatives from around the world. As a nation, reaching this goal would propel the nation forward in several critical ways. Manufacturers can harness new technologies to revolutionise their products and processes, effectively increasing their quality of output, and driving productivity forward. Economically, this creates an increase in profitability, enhances market competitiveness, and helps to generate higher-value jobs by automating lower-level tasks. Fostering innovation, this strengthens our supply chain resilience, and reduces our dependence on foreign sources. We can also work towards realising our full potential as a ‘clean, green New Zealand’, by encouraging resource-efficient, environmentally friendly practices. We are not a country rich with natural resources, except for dairy, horticulture and agriculture. We once made cars and TV sets. When that stopped it couldn’t be started again. So where can Advanced Manufacturing help to turn things around? Market demand, competition, global economic conditions and access to raw materials play crucial roles in the ability for a country to operate in a highly competitive industry – which is largely why dairy, horticulture and agriculture are particular strengths for New Zealand. However, advanced manufacturing holds endless possibilities for improvement. As we increase our capabilities, this certainly creates new opportunities for growth […]
Let’s say you’re making spaghetti marinara for dinner. Sauce from a jar is perfectly fine. But what if you buy your tomatoes and basil from the farmers market to make your own sauce? Chances are it will taste a lot better. And what if you grow your own ingredients from your garden and make your own fresh pasta? A whole new level of deliciousness. Just as better ingredients into a generative AI model can make for better results. These inputs are called prompts, and the practice of writing them is called prompt engineering. Skilled prompt engineers design inputs to interact optimally with other inputs in a generative AI tool. These inputs help elicit better answers from the AI model, meaning the model can perform its tasks better, such as writing marketing emails, generating code, analysing and synthesising text, engaging with customers via chatbots, creating digital art, composing music, or any of the other hundreds, if not thousands, of current applications. Let’s look at an example. Say you want a generative AI model to help you promote an upcoming financial-planning workshop with the CFO of your organisation, Acme Inc. You provide a generative AI chatbot with a simple prompt: “Write a social post advertising a class.” Here’s the output: **Elevate Your Skills: Join Our Class!** Unlock new knowledge, connect with experts, and embrace growth. Limited spots available—reserve yours now! #LearnWithUs #SkillBuilding #ClassTime It’s pretty generic and unlikely to generate much interest. Let’s try again. This time, you make your prompt a little more specific: “Write a short social post advertising a financial-planning workshop with the CFO of Acme, Inc.” Here’s what the model gives you this time: **Master Your Finances with the CFO of Acme, Inc.!** Get ready to take charge of your financial future! Join our upcoming Financial Planning Workshop featuring the CFO of Acme, […]
This survey aims to build industry understanding of the way in which data analytics and AI is being considered and implemented across the manufacturing sector in New Zealand for the purposes of informing organisations on how their peers are approaching these tools, informing support organisations on where opportunities exist and understanding benchmarking New Zealand against the global trends. The survey takes less than 10mins to complete and all information provided will be aggregated and anonymised for analysis and publication. The survey can be accessed using his link: https://www.surveymonkey.com/r/Data_AI_2023 and is open until 8th December 2023. We encourage as many people as possible to contribute their feedback so that we are able to generate an accurate picture of the New Zealand manufacturing industry and provide crucial insight in to shaping the future of data and AI adoption in the manufacturing industry.
-Scott Adams, Argon & Co The answer is a clear “no,” quite the opposite, as it will require clever design, selection, implementation, and maintenance. And if you have done it right it will provide you with more time to do human things like strategy, talking with clients and colleagues, and with increased overall productivity rather than less time working, and more time enjoying life. The automation of routine, complex or dangerous activity is an inevitable and logical path forward for New Zealand businesses. We should be increasingly looking first to a digital solution for any problem or opportunity and always one that is easy to use and maintain. For instance, there is a vast amount of software solutions that are easy to buy, and use, and if we have done well the software will even integrate with other software to digitally enable an end-to-end process. Therefore, we can make our working life much easier if we understand our business processes and therefore our requirements. Many of us in business are getting quite practiced at this new and necessary skill set. Right now, depending on your role you are doing a good proportion of your work without having to think too hard. You, and NZ, would be better off if a larger proportion of our working time was spent thinking hard. Solving big problems, dreaming up new designs, creating rich content, crafting a chair, and writing songs. For most of us we would need that harder work compensated for with more rest and leisure time. So, this might seem like a logical and forgone conclusion of increasing digitisation, but the journey and destination are not certain at a company level. It would be best to prepare well to approach this increasingly digital future with more confidence. Firstly, start by educating the […]