These prompts are a way to develop responses to trends and train your change muscle, making you more resilient and agile for the future. If you need help with developing these prompts, you can book a free appointment here. If you want me to speak at your event, contact me at ron@ronimmink.com
Digital transformation mindcandy 23 January 2024
Today’s topics are tech priorities, interfaces, LDMS, low code, clean data, IoT, productivity in 2030 and AI-enabled ERP.
What are your tech priorities? Leave a comment.
Skills, proactive cyber strategies and optimised AI workflows: tech leaders share their priorities for 2025
https://www.raconteur.net/technology/tech-leaders-resolutions-2025
AI is a priority for all businesses – but how are tech leaders planning to make effective use of the technology this year?
Get set for interfaces that know what you’re doing before you do
The shift from today’s static, backward-looking approach to managing our content, to a future where the computer handles 95% of the work.
The Rise Of Large Database Models
LDMs don’t power chatbots—instead of training on human language, they train on data records and transaction logs
AI trends to redefine low-code development by 2025
https://itbrief.asia/story/ai-trends-to-redefine-low-code-development-by-2025
Generative AI will signal the decline of no-code development, which requires no human input or critical thinking
Clean, contextualized data drives digital transformation
https://www.designworldonline.com/clean-contextualized-data-drives-digital-transformation/
Disparate data needs to be merged and put into context. And that requires a new kind of data structure.
IoT and the human touch: making technology work for everyone
According to often-quoted Cisco statistics published back in 2017, at least 60% of IoT initiatives never got past the proof-of-concept stage, and only 26% of companies reported IoT initiatives they considered a complete success.
Global Economic Futures: Productivity in 2030
https://www.weforum.org/publications/global-economic-futures-productivity-in-2030/
Automation overload, productivity leap, productivity drought, and human advantage.
Why you don’t need an AI-enabled ERP (at least not yet)
https://erp.today/why-you-dont-need-an-ai-enabled-erp-at-least-not-yet/
Effective integration of AI in ERPs hinges on quality data; organizations must prioritize data management before considering AI applications.
