Henrik Warne

MARCH 30, 2019

Is programming like math, or is it like writing? I think there are elements of both in it, even though programming is a discipline of its own. Nevertheless, it is interesting to think about what aspects are like math, and what aspects are like writing. Maybe it will even lead to a better understanding of what programming is. Like Math. Sometimes, the domain of the program requires math, for example machine learning, graphics programming or financial modelling.

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Programming Exercises Machine Learning Artificial Inteligence 162

CTOvision

MARCH 30, 2019

No matter what the size of your business you should have a cybersecurity strategy. Yes that means if you run a part time business out of your home you need a cybersecurity strategy. And of course that also goes for every other business of every other size small to big. There are plenty of lessons […].

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Strategy Course 114

Ron Jeffries

MARCH 30, 2019

Some words and pictures about the various notions of 'technical debt', or, as I like to call it, wishful thinking.

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SCRUM Agile 96

Altexsoft

MARCH 30, 2019

Let’s briefly return to the 1850s. Imagine that you own a freight forwarding company which ships – quite literally because you transport the cargo by clippers – the precious goods from China and India to the owners of colonial shops. Tea, spices, expensive textiles or even opium travel to months, passing seaports, till they reach the destination point.

Airlines 75

Airlines Quality Assurance Transportation How To 75

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QAspire

MARCH 30, 2019

I created a series of sketch notes for Tiffani Bova’s “ What’s Next ” podcast where she meets brilliant people to discuss customer experience, growth and innovation. Tiffani Bova is a Global Customer Growth and Innovation Evangelist at Salesforce. I will post sketchnote versions of selected podcast episodes that enlightened me. Tiffani is also the author of a WSJ bestseller book “ Growth IQ: Get Smarter About the Choices that Will Make or Break Your Business ”.

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Coaching Performance Innovation Resources 78

Distributed Agreement

MARCH 30, 2019

This post is about how everyone gets the Monty Hall problem wrong, but probably not in the way you’re thinking. If you’re not familiar with the Monty Hall problem, you should probably read the Wikipedia page about it.

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Net Objectives

MARCH 30, 2019

This blog was first written in August 2007 A few years ago somebody came up to me in one of my classes and said, “you’re the CEO of a successful company, co-author of a successful book (Design Patterns Explained: A New Perspective on Object-Oriented Design), … you ought to have something named after yourself.” So I, … Continue reading "Shalloway’s Law and Shalloway’s Principle".

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Company Agile Development 40

Strategy Driven

MARCH 30, 2019

If you’re starting your own business and you don’t know what technical aspects you need to consider then don’t worry, you have definitely come to the right place. There are so many different technical considerations you need to think about before starting your business, working out whether or not you need to hire help in advance. Whilst it may take a chunk out of your start-up budget, you can relax knowing you’re not going to run into any problems.

Media 23

Media Malware Social Linux 23

Net Objectives

MARCH 30, 2019

This was originally published in May 2007. Minor edits made. I have left the # of years the same to keep context. I have repeatedly heard that “Scrum succeeds largely because the people doing the work define how to do the work” (see From The Top by Ken Schwaber for his full text). However, I do not … Continue reading "Challenging why (not if) Scrum works".

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SCRUM How To Agile 40

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Artificial Inteligence