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Making a Case for Digital Forensics

Business and Tech

The contents are updated and there are the beginnings of subjects like ethics and software development life cycle, but the bulk is still algorithms, coding, and platforms. Although there are exciting developments in machine learning, the broad topic of artificial intelligence dates back to the 1950s.

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Goodhart’s Law: When a target becomes its own enemy

Idea to Value

This refers to the process whereby it is clear what the targets for success are, and an individual, group or company does just enough to qualify for meeting those specific criteria. One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning.

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Generative AI – The End of Empty Textboxes

TechEmpower Innovation

Maybe those references to TFA sound like bragging, or he thinks “passion for numbers” sounds silly. They learn from millions of pages of text, understanding patterns, context, and even nuances that make the generated blurbs feel almost human. tew_cta text="Want to learn how TechEmpower can help you fill textboxes with GPT?"]

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How to Drive Results for Top 3 Business Outcomes Using Flow Metrics in SAFe®

Planview

In the context of SAFe, flow refers to the smooth and uninterrupted progress of work through the entire value stream, from ideation to delivery. Increasing Business Agility One area undergoing rapid evolution in software development is generative AI.

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Do You Know Your Users?

Boxes and Arrows

Cooper used the term “the elastic user” to reference this shape-shifting, need-changing user who encompasses all edge cases. Imagine hotel software that is supposed to be suited for a hotel accountant, a front desk agent, and a retail worker in the hotel gift shop. Software development always has limitations in time and money.

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The Root Cause for Innovation Theater and How to Avoid It

Leanstack

In a recent post, I shared a reference implementation of an innovation funnel built on the Continuous Innovation Framework and cautioned that while funnels are powerful visualization tools, they have their limitations. Innovation in the new world inevitably requires teams to unlearn old habits and learn new skills.

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Why Build, Measure, Learn – isn’t just throwing things against the wall to see if they work – the Minimal Viable Product

Steve Blank

I am always surprised when critics complain that the Lean Startup’s Build, Measure, Learn approach is nothing more than “throwing incomplete products out of the building to see if they work.”. Unfortunately the Build, Measure, Learn diagram is the cause of that confusion. Build, Measure, Learn sounds pretty simple. Here’s how.