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Digital transformation #mindcandy 19 May 2025
Today’s topics are enterprise intelligence, AlphaEvolve, the AI revolution, ChatGPT, digital transformation leadership, data debt, data-driven decision-making, the automation trap and AI and low-code.
How high is your data debt?
Enterprise Intelligence: Why AI Data Strategy Is A New Advantage
Many enterprises are still navigating AI workloads with architectures designed for batch analytics and periodic reporting. These legacy systems were never meant for the velocity, variety, and volume of AI-driven analytics and inference at scale.
Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs
An artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company’s vast computing empire.
The AI revolution is underhyped
https://www.ted.com/talks/eric_schmidt_the_ai_revolution_is_underhyped
Compulsory watching. Also read https://www.ronimmink.com/ai-it-could-be-awesome/
ChatGPT is getting an AI coding agent
https://www.theverge.com/command-line-newsletter/668251/chatgpt-is-getting-an-ai-coding-agent
With Codex and its new codex-1 model, OpenAI wants to be an engineer’s “virtual coworker
The Future Of Digital Transformation Leadership
Businesses don’t just need technology leaders—they need leaders who can drive digital transformation, measure its success and continuously align technology with business objectives.
The digital transformation trap: why data debt is holding CIOS back (and how to break free)
Digital transformation has become a necessity for CIOs and CDOs, with organizations facing significant costs due to outdated and fragmented data structures, which are termed as ‘data debt’.
Debunking the Myths of Mathematical Optimization: The Future of Data-Driven Decision-Making
While MO is not yet as widespread as AI and ML, there are many ways in which organizations can model their complex business problems and run their algorithms to produce optimal outcomes.
The Automation Trap: Why Low-Code AI Models Fail When You Scale
https://towardsdatascience.com/the-automation-trap-why-low-code-ai-models-fail-when-you-scale/
Low-code AI platforms promise speed, a model without a single line of code. But when you try to scale them, they deliver something else: silent crashes, cryptic failures, and models that choke under pressure.
Future trends in software development: AI, Low-code and beyond
https://www.londondaily.news/future-trends-in-software-development-ai-low-code-and-beyond/
As the digital world accelerates into the future, software development is no longer just about writing lines of code. It’s about innovation, automation, and delivering solutions that adapt rapidly to market demands.
