Failed projects

Lack of end user involvement

IT projects generally fail because people fail.

Any project, no matter how small it is, can fail. Technology today provides us with a vast variety of very efficient tools to manage the development of an IT project. Instead of managing various protocols and network types, projects are being developed using Internet standards and frameworks. This makes us think about the increase in successful projects.
Cloud services are evolved in a way to give us stability, supporting multiple coding languages and offering different kind of hardware to run our applications. We just need to configure the service. The most important part, we have talented developers. Despite these advances, it seems that the number of IT projects that fail is increasing.
Among the most common factors in failed projects are: lack of end-user participation, incomplete requirements, and constant change requirements. Projects are often built using strategies that guarantee their failure.
System engineering can be compared to civil engineering. Suppose a group of electricians, plumbers, carpenters and contractors meet on a vacant lot. They talk for a couple of hours regarding the construction, then begin construction of the building. Most likely it will collapse.
If we thought that developing software was like building an office building, many of our problems would end. Before constructing the building, an architect draws plans, builds models. At each phase the plans are carefully and repeatedly reviewed. During construction each step is verified and inspected.
In computer projects, if we have not started writing code in 3 months we think we are doing something wrong. I have personally been involved in software that has failed and succeeded. The fact is that software fails because proper methodology or engineering principles are not followed to build a stable and efficient application.
Lack of common sense and interest in methodology are the main reasons for the problems of failing software. Many think that software is just code. Technology projects are complex. From lack of funds to lack of time and focus can be part of the failures. But someone approves the budget, someone chooses the people, someone distributes the tasks and times.

Successful software project management involves addressing these potential pitfalls through effective planning, clear communication, continuous stakeholder involvement, proper resource allocation, robust quality assurance practices, and proactive risk management.

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Projects in analysis and design

We help agricultural companies maintain the traceability of their products, through semi-autonomous cloud and mobile applications.

When doing the engineering of the project, I realized that I can manage the traceability of any agricultural product, as well as its subsequent transformation processes, using machine learning.

In an agricultural process and its distribution chain, the application will be used mostly by agricultural workers and processing plant operators, as well as by financial and commercial executives.

A large part of traceability is learning about the control of processes and tasks that must be executed and controlled at each point of production in a farm field and commercial sector.

Large exporters must ensure food safety when exporting to regulated markets such as the European economic community.

Traceability is risk management to minimize and control food safety hazards. Each operator in the production chain is responsible for their traceability system.

According to European and American food control laws, they declare that traceability and self-control constitute one of the basic principles of food safety, and define the responsibilities of economic operators and the competent authorities in this area.

The Alimentarius Codex states that the controls (self-controls) that food companies must apply to guarantee the healthiness of the products they produce or market must be based on the hazard analysis and critical control points (HACCP) system. This HACCP system allows the identification, evaluation and control of significant food safety hazards.

The codex alimentarius classifies traceability as a prerequisite.

A digital world.

According to the World Economic Forum (WEF), the 4th industrial revolution is a digital revolution that merges technologies between the physical, digital and biological spheres.

Augmented reality (AR, VR), artificial intelligence (AI_), and the internet of things (IOT) accelerate the path towards digitalization.

The Internet of Things (IOT) is a system of computational, mechanical, digital devices, objects, animals or people. interrelated, with the ability to transfer information over the network without human intervention.

AI, also called machine intelligence, is intelligence demonstrated by machines, in contrast to human intelligence.

Machines (any type of computer) learn from information.

Machine Learning (ML) is the scientific study of algorithms and statistical models that computer systems used progressively to improve their performance on a specific task. These algorithms build mathematical models of information to predict or make decisions, without being explicitly programmed to perform said task.

These algorithms are used to filter email, detect network intruders, understand images and videos, among many other applications.

Augmented Reality the real world with different eyes. Augmented Reality (AR) is a technology that allows us to superimpose virtual elements on our vision of reality.

Augmented reality (AR) is the term used to describe the set of technologies that allow a user to visualize part of the real world through a technological device with graphic information added by this device. This device or set of devices adds virtual information to the existing physical information; that is, a virtual synthetic part to the real one. In this way, tangible physical elements are combined with elements virtual ones, thus creating an augmented reality in real time.

Lack of end user involvement

A digital world.

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