#Mindcandy are scenario prompts to help companies formulate strategy. Find out more here.
Digital transformation #mindcandy 8 July 2025
The topics are feeling AI, decision making, thinking, low-code, appliance makers and AI, dashboards, LLMs, memristors, data and you are the upgrade.
Emoscape: Where emotion meets AI, and enterprise systems learn to feel
Emoscape by Nihilent is an AI platform that decodes human emotions through body cues, helping industries bring empathy into healthcare, education, and more.
From Data to Decisions—Building Resilient Supply Chains with Graph Neural Networks
The Problem: Fragmented Supply Chain Data
Why AI can speed up code but not thinking
https://gadget.co.za/ainotthinking85m/
The bottleneck is not the tools, but the mindset.
Low-Code, Big Impact: Transforming Customer Experiences Without IT Bottlenecks
In today’s hyper-competitive business environment, customer experience (CX) has become the ultimate differentiator.
Appliance makers bet on AI in growth push
Appliance makers like Samsung, LG, Godrej, and Haier are betting big on AI-enabled products to drive growth, aiming for 60–70% of sales from smart appliances by 2025
Data everywhere, alignment nowhere: What dashboards are getting wrong, and why you need a data product manager
In a world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem — product thinking is.
Large Language Models Are Improving Exponentially
https://spectrum.ieee.org/large-language-model-performance
In a few years, AI could handle complex tasks with ease
This system can sort data for AI faster, more efficiently
The new system uses memristors, electronic circuit components with memory-like properties, and a special sorting algorithm to enable more efficient data processing
Turn on all the lights: why your AI fails without the right data
Learn why data hygiene is the unsexy hero behind effective AI, innovation, and operational savings.
You are the upgrade
https://www.ronimmink.com/product/a-book-about-books-about-ai/
Data, acceleration, and the future of intelligence: Lessons from 25 core books (and links to 114 other books) about AI, technology abstraction, and consciousness.