How Generative AI Could Disrupt Creative Work, Java is not dead, Choosing the best decision making approach, Integrating your data with ChatGPT
Hi colleagues,
in this edition of the engineering ecosystem newsletter, we are switching to a curated format that features a selection of different topics. Our plan is to alternate between this format, which provides an overview of several subjects within the engineering ecosystem, and a format that focuses on a single, in-depth topic. In this curated edition, we will be covering a range of subjects:
How Generative AI Could Disrupt Creative Work: The article explores how generative AI, a type of AI that can produce new content such as text, images, and audio, could disrupt creative work in the future. It presents three possible scenarios: an explosion of AI-assisted innovation, a rise of AI-powered platforms and intermediaries, and a shift to AI-centric creativity. It also discusses the implications of these scenarios for businesses, workers, and society, and offers some recommendations for how to prepare for and leverage generative AI. The article argues that generative AI is not a threat to human creativity, but rather a new tool that can enhance it and create new opportunities. The article examines why relationships, trust, content governance and content curation are becoming more important in the era of generative AI.
Choosing the best decision making approach The Decider App is a website that helps groups make better decisions together. It asks a few simple questions to suggest different decision making models, such as autocratic, avoidant, consensus, consent, consultative, delegation, democratic and stochastic. Each model has its own pros and cons. The website also provides examples and resources for each model. The Decider App aims to help groups find the most suitable and effective way to decide on various issues.
Java is not dead According to the blog Don’t call it a comeback: Why Java is still champ Java has overcome some challenges in its history and has evolved to meet the demands of the future. Many companies use Java for their large-scale applications and data systems. Java is still alive and thriving, adapting to the new scenarios that it was once thought to be unfit for.
Integrating your data with ChatGPT via Azure Open AI: Emerging Interaction Patterns and Improving Knowledge Retrieval The blog post Revolutionize your Enterprise Data with ChatGPT explains how to use ChatGPT, a large language model from OpenAI, to build applications that can interact with users using natural language and provide responses based on your own data. It shows how to combine ChatGPT with Azure Cognitive Search and Azure OpenAI Service to index, understand and retrieve relevant information from your data sources, such as documents, websites or databases. It also provides a GitHub repo with examples and best practices for building ChatGPT-powered applications using the “gpt-35-turbo” model that’s now in preview. The blog post illustrates the solution with a sample scenario of an employee benefits chatbot that can answer questions based on the company’s policies.
Thanks and Regards,
Klaus
Subscription: If you want to get updates, you can subscribe to the free newsletter:
Mark as not spam: : When you subscribe to the newsletter please do not forget to check your spam / junk folder. Make sure to "mark as not spam" in your email client and move it to your Inbox. Add the publication's Substack email address to your contact list. All posts will be sent from this address: ecosystem4engineering@substack.com.
✉️ Subscribe to the newsletter — if you aren’t already.
❤️ Share it — The engineering ecosystem newsletter lives thanks to word of mouth. Share the article with someone to whom it might be useful! By forwarding the email or sharing it on social media.