Project approach for a Machine Learning project

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The project approach is defined by the lifecycle of the solution, and here I will focused just on the machine learning side of the project (other sections as infrastructure, education, operations…) will not be reviewed here. What is the lifecycle of a Machine Learning solution? The lifecycle is sequential and in reality is can be … Read more

Considerations for the project scope of a Machine Learning project

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Let’s start with the basic questions What is the business problem to be solved? What is the situation AS-IS? What are the current pain points you are facing? How are you attending these pain points? Are the causes of the problem identified? What is the problem impact? What is the desired situation TO-BE? What are … Read more

Machine Learning project: Agile or Waterfall approach?

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This question is so easy: agile approach. Why? Because it recognizes that the construction of the solution requires different loops. Reason 1: ML models change overtime Machine Learning projects are supported on ML models, and models change overtime. Why do a model change overtime? A model change overtime because the data used to train the … Read more

Deep learning evolution

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Evolution happens in different waves of diffusion and deep learning is not an exception. I add this time-line to remind how it evolved, and how the co-evolution of technology has been necessary to enable to end the “neural winter” lived during almost 20 years.

AWS Honeycode

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Honeycode is the low-code service in beta version being implemented by Amazon. Things I have noticed: The features are very basic, the templates available basic too. The customers using it are not top tier customers. It’s beta. The number of vacancies opened in amazon.jobs is low and last role available is from April 2022. The … Read more

Print on Demand Services

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Since 2015 – 2018 there are different print on demand services available around the world that enable designers to produce and commercialize their products in different geographic areas. The main products sold on this way are shirts, pullover hoddies, zip hoddies and other type of textile products. There are other vendors that offer mugs, caps, … Read more

Making decisions patterns

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This is a card for my poor memory about practical ways to make decisions. The Eisenhower Decision Matrix The classic: Making decisions as in Amazon This is not an official way to make decisions in Amazon, but I found it in “Working Backwards” book and I find it useful. Mindset to adopt depending on the … Read more

Amazon, press release process

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This is an example of the gameplay press release process, focused on how Amazon does it (basic explanation). During late 2020 we saw in many electronic press that Amazon was launching an online pharmacy and that it has discounts for prime users. For example this one: The reaction? the first reaction has been that companies … Read more

Amazon, sensing engines (ILC: innovation – leverage – commoditize)

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This is an example of the gameplay sensing engines, focused on how Amazon does it (basic explanation). ILC comes from “innovation – leverage – commoditize”, Let others to innovate. Use metadata to identify patterns (leverage). Commoditize the “pre-existing act”. This is the map: The summary about the “Amazon, sensing engines” map: Point 1: shaving machine … Read more

Amazon strategy

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Background and purpose This post tries to translate some of the elements of Amazon’s strategy into Wardley Map syllabus. The strategy cycle This is the strategy cycle proposed by Simon Wardley, let’s see how Amazon works its own cycles. 1.- Purpose (who we are) Amazon is guided by four principles: Amazon strives to be Earth’s … Read more