AI archivos - Itera Process

Q: What is ISO 42001 certification?

ISO 42001 certification is an international standard designed for the responsible management of artificial intelligence (AI) systems . It establishes the necessary requirements to implement an AI management system within an organization, ensuring that it is handled ethically, transparently, and responsibly, with clear processes, risk assessment, and oversight mechanisms.

Q: Why is artificial intelligence management important?

Artificial intelligence management is crucial to ensure that AI solutions are used responsibly and efficiently . Having an AI governance system in place ensures the transparency , security and risk mitigation , enabling successful implementation aligned with international regulations .

Q: How does ISO 42001 certification benefit organizations?

ISO 42001 certification provides organizations with assurance that their AI systems comply with international standards for security, transparency, and governance . This translates into a reduced risks , better supervision of models and better alignment with regulations and best practices, which increases trust and efficiency in AI projects.

Q: What does the ISO 42001 certification implementation process include?

The ISO 42001 certification implementation process includes the creation of an artificial intelligence (AI) management system that ensures transparency , regulatory compliance , and risk management . This system must be integrated in a structured way within the organization’s processes, with clear policies for the monitoring , controlling, and continuous improvement of AI applications.

Q: What are the competitive advantages of working with an ISO 42001 partner?

Working with an ISO 42001 certified partner offers competitive advantages such as reduced risk in the use of AI, transparency in model development, alignment with international regulations and better technology oversight . This ensures a Reliable AI implementation , improving operational efficiency and decision-making .

Atlassian’s System of Work: The New Way to Connect Strategy and Execution

Daniel Nuñez — Thu, 26 Mar 2026 14:00:00 +0000

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System of Work

Atlassian System of Work:
The new way to connect strategy and execution

Publication Date:

26 March, 2026

Atlassian's System of Work: The New Way to Connect Strategy and Execution

There is something that happens in many organizations: the strategy is clearly defined, but, as time goes by, it is diluted in execution.

It is a kind of endless cycle: ambitious goals are presented, initiatives are launched, managers are assigned… And yet, months later, no one can answer precisely what real impact was generated.

The problem is not usually a lack of talent or technology. It’s the lack of a system that connects everything.

That’s where Atlassian’s System of Work comes in.

But first…

What is Atlassian's System of Work?

The System of Work is the operating model that Atlassian proposes to connect strategy, teams and tools in the same workflow.

And no, it’s not just using Jira; it’s not just documenting in Confluence, or managing tickets in Jira Service Management.

The System of Work is a quest to design the way the organization works so that:

• Strategic objectives are translated into visible work.

• The work is aligned to measurable results.

• Information flows frictionlessly between areas.

• Decisions are based on real data and not on mere perception.

Simply put, it’s about the transition from having loose tools to having a coherent system.

What does the System of Work bring to your organization?

More than ordering tools, the System of Work It provides structural clarity and operational coherence. In practice, this translates into concrete benefits such as:

Real alignment between strategy and execution.

Goals become visible initiatives with defined decision-makers and clear metrics.

Cross-cutting visibility to make better decisions.

Leaders can identify where resources are being invested, which initiatives are making an impact, and where blockages exist. This transparency reduces friction between areas and strengthens coordination.

Clear priorities in complex environments.

When everything seems urgent, the model allows us to distinguish the strategic from the operational. This prevents the dispersion of efforts and helps to concentrate energy where value is really generated.

Culture of shared responsibility.

Each team understands how their work contributes to the overall outcome. Not only does this improve execution, but it raises the level of commitment and organizational focus.

Scalability with structure.

The model prevents complexity from increasing in a disorderly way when the organization grows, since the processes are integrated under a clear architecture that facilitates adaptation.

As you can see, as a whole, the System of Work strengthens the organization’s ability to execute coherently, measure impact, and adapt robustly.

In short

Atlassian’s System of Work redefines the way companies connect strategy, execution, and technology.

At Itera we help design and implement this model holistically, aligning Jira, Confluence and Rovo under a clear architecture that connects objectives with measurable impact.

Because transformation doesn’t start with a tool: it starts with a different way of working.

And when that shape is well designed, growth stops being chaotic and becomes strategic.

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La entrada Atlassian’s System of Work: The New Way to Connect Strategy and Execution se publicó primero en Itera Process.

We obtained ISO 42001 certification! The Standard for Responsible AI Management

Daniel Nuñez — Fri, 06 Mar 2026 21:32:23 +0000

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ISO 420001

We obtained ISO 42001 certification!
The Standard for Responsible AI Management

Publication Date:

06 March, 2026

We obtained ISO 42001 certification! The Standard for Responsible AI Management

Over the past few years, organizations have accelerated the adoption of artificial intelligence (AI)-based solutions, from process automation to generative models that support decision-making. However, as these technologies are integrated into critical operations, a clear need arises: to have structured frameworks for their Artificial intelligence management.

In this context, ISO 42001 emerges, the first international standard specifically designed to establish an artificial intelligence management system within organizations.

What is ISO 42001?

ISO 42001 is an international standard that sets out the requirements for implementing an artificial intelligence management system within an organization. It aims to help companies develop, implement, and use AI systems responsibly, ensuring that these technologies are managed with clear processes, risk assessment, and oversight mechanisms.

Among its main focuses are:

The governance of AI systems.
The management of risks associated with artificial intelligence.
Transparency and traceability in the use of models.
Continuous improvement in the life cycle of intelligent systems.

This standard allows organizations to integrate technological innovation with control structures that ensure an ethical and responsible use of AI.

Why is artificial intelligence management important?

The adoption of artificial intelligence It is growing rapidly in sectors such as finance, healthcare, retail and technology. However, as these solutions are integrated into critical processes, so does the need for AI governance.

Having an ISO 42001 certified partner ensures that organizations that implement:

It will identify and mitigate risks associated with artificial intelligence systems.
It will guarantee transparency in models and algorithms.
It will establish clear monitoring and control processes.
It will align AI development with international regulations and best practices.

In other words, it will allow technological innovation to move forward with a solid framework of accountability.

What does ISO 42001 certification mean for our customers?

For the organizations that work with us, this ISO 42001 certification it represents an additional guarantee of trust. It means that our processes are aligned with international standards of artificial intelligence, which ensures that the solutions we develop and implement follow criteria of governance, control and continuous improvement.

This translates into concrete benefits for companies, such as:

Increased confidence in AI projects.
Reducing risks in the development and use of AI systems.
Implementations aligned to global standards.
Clear technology management and oversight processes.

In an environment where artificial intelligence is becoming increasingly strategic, having partners operating under international technology governance frameworks makes an important difference.

In short

The ISO 42001 certification makes a clear difference: it shows that at Itera Process, without a doubt, we have solid processes to develop, implement and govern AI systems under international standards.

For companies looking to innovate with confidence and realize the full potential of AI management, working with a certified partner can make the difference between experimenting with AI or turning it into a competitive advantage.

At Itera we are ready to help you take that step.
Let’s innovate together with our feet in the cloud.

FAQs

What is ISO 42001 certification?

ISO 42001 certification is an international standard designed for the responsible management of artificial intelligence (AI) systems. It establishes the necessary requirements to implement an AI management system within an organization, ensuring that it is handled ethically, transparently, and responsibly, with clear processes, risk assessment, and oversight mechanisms.

Why is artificial intelligence management important?

Artificial intelligence management is crucial to ensure that AI solutions are used responsibly and efficiently. Having an AI governance system in place ensures the transparency, security and risk mitigation, enabling successful implementation aligned with international regulations.

How does ISO 42001 certification benefit organizations?

ISO 42001 certification provides organizations with assurance that their AI systems comply with international standards for security, transparency, and governance. This translates into a reduced risks, better supervision of models and better alignment with regulations and best practices, which increases trust and efficiency in AI projects.

What does the ISO 42001 certification implementation process include?

The ISO 42001 certification implementation process includes the creation of an artificial intelligence (AI) management system that ensures transparency, regulatory compliance, and risk management. This system must be integrated in a structured way within the organization’s processes, with clear policies for the monitoring, controlling, and continuous improvement of AI applications.

What is AI governance and why is it important?

AI governance It refers to the structured and ethical management of artificial intelligence systems within an organization. It is important because it ensures that AI technologies are used in a way that is not very important. responsible, with transparency in models and constant supervision, minimizing risks and aligning with international regulations and good practices.

What are the competitive advantages of working with an ISO 42001 partner?

Working with an ISO 42001 certified partner offers competitive advantages such as reduced risk in the use of AI, transparency in model development, alignment with international regulations and better technology oversight. This ensures a Reliable AI implementation, improving operational efficiency and decision-making.

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La entrada We obtained ISO 42001 certification! The Standard for Responsible AI Management se publicó primero en Itera Process.

AI vs. Machine Learning Project: Differences, Uses, and Which One Your Company Needs

Magdalena López — Wed, 17 Sep 2025 23:08:57 +0000

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AI vs. Machine Learning Project

AI vs. Machine Learning Project: Differences, uses and which one your company needs

Publication Date:

17 September, 2025

AI vs. Machine Learning Project: Differences, Uses, and Which One Your Company Needs

Nowadays it is normal for us to confuse AI projects and Machine Learning projects. It happens all the time. They sound like the same thing to many people, and are even used as synonyms in casual conversations.

However, if you are evaluating bringing one of these technologies to your company, it is worth understanding well what the difference is between a machine learning project and an artificial intelligence project, and above all, which one your business needs.

What are AI projects and what do they focus on?

Let’s be clear: an Artificial Intelligence (AI) project seeks to get a machine to perform tasks that a human would normally do. We are referring to understanding language, seeing images, analyzing feelings or making decisions with context.

For example, think of a chatbot that not only responds with pre-programmed phrases, but understands what you’re asking —even if you don’t use the exact words— and gives you a useful answer. Or imagine a camera that detects whether a person is happy, confused, or upset. All of this enters the world of artificial intelligence.

Technically, an AI project can use:

. Natural language processing (NLP) to understand what we're saying

. Computer vision to analyze images or videos

. Expert systems or intelligent agents that can provide insights for key decisions.

And in practice, you see it in things like:

. Virtual assistants that understand context

. Contact Center Sentiment Analysis

. Intelligent systems that optimize processes

. Personalized recommenders that learn from your actions

Machine Learning: what it is and how we apply it

Now, when we talk about Machine Learning projects, we are referring to a type of project within AI that learns from data. Here the machine is not told what to do step by step, but is trained to identify patterns and make decisions based on them.

A machine learning model can, for example, predict which customers are most likely to abandon your service, or help you detect fraud in real time. It does all this by learning from your historical data.

Today, many companies use machine learning projects to:

. Predict buying behaviors

. Detect financial fraud

. Optimize dynamic pricing

What type of project is best for your business?

A good way to decide is to start with the business question you want to solve:

. If your challenge is to automate decisions based on past data, such as predicting sales or segmenting customers, a machine learning project is ideal.

. If you need a solution to understand text, images, or make complex decisions autonomously, you probably need an AI project.

Remember: not everything needs generative AI or deep neural networks. Sometimes, a well-implemented regression model can solve more with less complexity (and budget).

And if you’re still not sure, that’s okay. That’s exactly where we come in.

In short...

Both AI and machine learning projects have enormous potential to transform your business, but their real value is not in the technology itself, but in how they connect to your goals, your data, and your operational reality.

At Itera Process, we don’t start by choosing technology, but by understanding the problem and designing a strategic route: from our Data and AI Journey proposal to specific solutions such as AI-Driven Data Transformation or Advanced Analytics & Insights.

Because when technology aligns with your business, results are not long in coming. And on that path, we accompany you step by step, with our feet in the cloud.

Do you want to find out what type of project your business needs?

Talk.

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La entrada AI vs. Machine Learning Project: Differences, Uses, and Which One Your Company Needs se publicó primero en Itera Process.

Generative AI

admin — Tue, 23 Apr 2024 19:39:53 +0000

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Generative AI

Generative AI

HOW TO APPLY GENERATIVE AI IN BUSINESS

Since 2023, Generative AI has become a global trend due to its incredible ability to produce intelligent responses. In organizations, questions arise about how to start applying it, where to focus it and what is required to integrate it into current processes.

Generative AI is not aimed at displacing jobs, as is often thought, but is aimed at increasing the productivity of staff and each area of the business, shortening implementation times and supporting content design.

What is Generative AI?

It is a type of artificial intelligence capable of creating a wide variety of data and content such as images, videos, texts, conversations and even executing tasks and code through a natural, more human language. It represents the next step in the evolution of artificial intelligence, which can be trained to understand any complex topic.

How to apply Generative AI?

The first step in applying Generative AI in a business is to understand its scope and how it works, as it is essential to identify areas of opportunity within the various departments of the organization.

Depending on the line of business, Generative AI can be used in various ways, even beyond content generation. Here are some examples:

Marketing and sales:

Gen AI models can help generate:

– Content development, such as blog articles, social media posts, web content, and brochures.

– Assertive messages for email campaigns, LinkedIn messages and product sheets.

– Personalized marketing that analyzes data to develop content adapted to the customer’s tastes, preferences, and regional trends, thus generating greater engagement.

Innovation:

Generative AI can offer innovative possibilities for the business, such as the generation of proposals for new prototypes and products based on the company’s activity, thus facilitating the rapid iteration and evolution of the work team, without the need for complex human analysis.

Virtual Assistants and Chatbots:

Although these already exist, Generative AI elevates the experience to another level. They can now better understand human language and respond independently to customer needs, offering support, answering questions, and conducting sales transactions closer to interacting with human staff.

Automation of repetitive tasks:

Generative AI can take care of tasks such as data capture, reporting, and inventory management, freeing up time for the team to focus on strategic tasks. It can also be applied in financial analysis to reduce costs in areas such as logistics, marketing, sales and production, as well as in extracting useful information from large volumes of data.

Fraud detection and security:

Gen AI models can analyze data patterns to detect anomalies and potential security breaches, safeguarding information and preventing fraud. They can also identify unusual spending patterns or accesses that may indicate fraudulent activity.

Generative AI ideas according to the line of business:

Financial companies:

Gen AI can generate customized investment plans for each client, based on their income, expenses, and investment goals. It can also assist in fraud detection and investment risk analysis, looking for profitable opportunities in the stock market.

Retail Companies:

For these companies, Generative AI can facilitate the development of prototypes and new products, as well as offer personalized experiences to customers, allowing them to personalize products and offering them purchase recommendations based on their consumption history and preferences.

In short, Generative AI offers a wide range of possibilities to improve efficiency and innovation in business. In another article, we’ll explore Amazon Web Services (AWS) solutions focused on Generative AI to show how they can be applied in your organization.

Implement Generative AI solutions in your company

At Itera, we accompany our clients from the adoption to the implementation of this technology. We carry out explanatory sessions to understand how it works and generate creative ideas for its use. In addition, we offer demos and proofs of concept to verify the viability of the initiative, and we provide support for work teams to adopt Generative AI in a positive way.

6 April, 2026

Ready to take full control of your cloud investment?

La entrada Generative AI se publicó primero en Itera Process.

AI archivos - Itera Process

Atlassian’s System of Work: The New Way to Connect Strategy and Execution

Atlassian System of Work: The new way to connect strategy and execution

Atlassian's System of Work: The New Way to Connect Strategy and Execution

What is Atlassian's System of Work?

• Strategic objectives are translated into visible work.

• The work is aligned to measurable results.

• Information flows frictionlessly between areas.

• Decisions are based on real data and not on mere perception.

What does the System of Work bring to your organization?

Real alignment between strategy and execution.

Cross-cutting visibility to make better decisions.

Clear priorities in complex environments.

Culture of shared responsibility.

Scalability with structure.

In short

Success stories

Success stories

We obtained ISO 42001 certification! The Standard for Responsible AI Management

We obtained ISO 42001 certification!The Standard for Responsible AI Management

We obtained ISO 42001 certification! The Standard for Responsible AI Management

What is ISO 42001?

Why is artificial intelligence management important?

What does ISO 42001 certification mean for our customers?

In short

FAQs

AI vs. Machine Learning Project: Differences, Uses, and Which One Your Company Needs

AI vs. Machine Learning Project: Differences, uses and which one your company needs

AI vs. Machine Learning Project: Differences, Uses, and Which One Your Company Needs

What are AI projects and what do they focus on?

. Natural language processing (NLP) to understand what we're saying

. Computer vision to analyze images or videos

. Expert systems or intelligent agents that can provide insights for key decisions.

. Virtual assistants that understand context

. Contact Center Sentiment Analysis

. Intelligent systems that optimize processes

. Personalized recommenders that learn from your actions

Machine Learning: what it is and how we apply it

. Predict buying behaviors

. Detect financial fraud

. Optimize dynamic pricing

What type of project is best for your business?

. If your challenge is to automate decisions based on past data, such as predicting sales or segmenting customers, a machine learning project is ideal.

. If you need a solution to understand text, images, or make complex decisions autonomously, you probably need an AI project.

In short...

Do you want to find out what type of project your business needs?

Generative AI

Generative AI

HOW TO APPLY GENERATIVE AI IN BUSINESS

Atlassian System of Work:
The new way to connect strategy and execution

We obtained ISO 42001 certification!
The Standard for Responsible AI Management