Digital transformation mindcandy 17 December 2024
Today’s topics are satellites, data management, organisational design, AI innovation, technical debt, 5 tech predictions by the Amazon CTO and Tarzan economics.
Is your organisational design ready for AI Kung Fu?
How Commercial Satellite Imagery Is Shaping The Future Of Data Analysis
https://www.tycoonstory.com/how-commercial-satellite-imagery-is-shaping-the-future-of-data-analysis/
Commercial satellite images have become a game changer in altering the methods of information collection and interpretation. These visuals from above offer viewpoints that contribute to various sectors by providing new insights that were once beyond contemplation.
Data management and quality are falling short when it comes to what’s needed for AI adoption
Companies are set to be faced with 150% more data, large organizations will see double by 2026
AI Will Evolve Into an Organizational Strategy for All
https://www.wired.com/story/artificial-intelligence-work-organizational-strategy/
Traditional hierarchies hold businesses back. Instead, teams need to combine human and artificial intelligence to succeed.
Beyond Human Limits – Charting the Future of AI Innovation
“I Know Kung Fu” – is a quote from a line of dialogue by the protagonist Neo in the film “The Matrix” – in a memorable scene where Neo learns Kung Fu in minutes by connecting to an AI:. What took Neo just hours to master AI is exactly the journey we’re now on with generative AI or GenAI.
Digital Innovation Powers 173-Year-Old Corning’s Future
Managing technical debt is a cornerstone of enabling innovation. Tech debt often fragments data, making it harder to harness insights and deploy AI or machine learning.
5 tech predictions for 2025 and beyond, according to Amazon CTO Dr. Werner Vogels
https://www.aboutamazon.com/news/aws/werner-vogels-amazon-tech-predictions-2025
Mission, energy, truth, open data and intention.
Embrace Tarzan economics
https://www.ronimmink.com/embrace-tarzan-economics/
A book about how our economic modelling is wrong. You need to re-consider surplus, network effects, monopolies, rationality, the economic units (money vs time and convenience), IP, mood, statistics, GDP, big data, and quantification bias. We are not a sum of data or an algorithm. You are not math, engineering, science. You are art, you are joy, you are soul, you are small data, you are intuition, you are quirky, messy, and you are amazing.
