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Digital transformation #mindcandy 2 May 2025
Today’s topics are AI employees, the future of AI, agile, data engineering, crowd trained LLMs, low-code automation, moral agency and unstructured data.
Everything might totally change at a change of a scale we’ve never seen before.
Anthropic warns fully AI employees are a year away
https://www.axios.com/2025/04/22/ai-anthropic-virtual-employees-security
Virtual employees could be the next AI innovation hotbed, Jason Clinton, the company’s chief information security officer
The Godfather of AI is more worried than ever about the future of AI
We’re at this very very special point in history where in a relatively short time everything might totally change at a change of a scale we’ve never seen before.
Beyond cross-functional teams: AI’s radical transformation of agile development
From continuous delivery to continuous creation
LLMs in Data Engineering: Not Just Hype, Here’s What’s Real
https://hackernoon.com/llms-in-data-engineering-not-just-hype-heres-whats-real
The combination of Gen AI technology with Large Language Models will transform data engineering by providing substantial performance advancements and operational efficiency improvements.
These Startups Are Building Advanced AI Models Without Data Centers
A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year.
AI and low-code automation are redefining work—is your business ready?
Businesses that embrace AI and low-code automation could be the ones that outpace competitors still trapped by manual work and fragmented systems.
Chatbots and Consequences: AI, Moral Agency and the Fallacy of Asimov’s Laws
An absence of free will, that is, the ability to choose to perform or not perform an act through conscious deliberation, is fundamentally absent from AI, whose actions are the compulsory output of advanced programming.
Conquering the 3 core challenges of unstructured data
https://www.ibm.com/think/insights/conquering-3-core-challenges-unstructured-data
Some 90% of data produced by enterprises is unstructured, with valuable information stored in emails, PDF documents, video files and other formats.
