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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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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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We are launching a new competition! Itera already has the AWS Data & Analytics distinction

Daniel Nuñez — Wed, 18 Jun 2025 03:13:03 +0000

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We are launching a new competition!

We are launching a new competition!
Itera already has the AWS Data & Analytics distinction

We are launching a new competition! Itera already has the AWS Data & Analytics distinction

Publication Date:

17 June, 2025

In a world where every decision is backed up with information, data has become one of the most valuable assets for any organization. But extracting true value from them isn’t as simple as storing them: it requires expertise, vision, architecture, and execution. That’s why we at Itera celebrate an important achievement that reaffirms our commitment to data-driven transformation: we have obtained the AWS Data & Analytics Services Consulting competency.

This achievement not only fills us with pride, it also commits us. And here’s why it’s important to you.

What is the AWS Data & Analytics Competency?

This competency recognizes AWS-certified partners who have demonstrated – with technical evidence and real cases – their ability to help organizations:

Collect, organize, and store data efficiently.
Design modern architectures such as data lakes, pipelines, and scalable analytic environments.
Implement visualization, advanced analytics, and artificial intelligence solutions.
Ensure data quality, traceability, and governance.

Obtaining it represents a guarantee that at Itera we know how to turn the complexity of data into a tangible value for your business.

What does this mean for our customers?

That today, more than ever, you can count on a certified partner to help you get the most out of your information.

This competence supports something we have already been doing: accompanying companies on their path to more informed, agile and strategic decision-making. From the early stages of diagnostics to the implementation of advanced models, we’re ready to offer you a solution that fits your challenges, no matter the industry or scale.

And we do it with a comprehensive approach: we combine technical vision, business understanding and state-of-the-art tools to ensure that every piece of data counts.

Why choose a partner with this competency?

Because not all technology providers understand data the way you need it.
An AWS Data & Analytics Competency Partner has been evaluated for its ability to build robust, sustainable, and impact-focused solutions.

This ensures that you’ll work with a team that:

Gain a deep understanding of the AWS ecosystem
Knows how to translate business objectives into clear technical solutions
Has proven experience in complex contexts
It is aligned with the best practices in the market

This is important, because in an environment where data is a competitive advantage, having a certified strategic partner makes all the difference.

And you? What part of your operation is waiting to be optimized by data?

At Itera, we know that every organization has that blind spot: manual processes, disconnected data, reports that arrive late. And that’s where the transformation begins

With the AWS Data & Analytics Competency, we’re ready to help you see the big picture to unlock your organization’s hidden potential.

Schedule a meeting with our team and let’s start building together with our feet in the cloud.

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Itera and CrowdStrike

Eva Islas — Mon, 19 May 2025 20:09:59 +0000

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Itera and CrowdStrike

Itera and CrowdStrike:
A new era in smart cybersecurity

Publication Date:

19 May, 2025

La ciberseguridad ya no es opcional. Es por eso que en Itera decidimos fortalecer nuestras capacidades en protección proactiva y detección avanzada de amenazas mediante una alianza estratégica con CrowdStrike, one of the world’s most powerful platforms for protecting endpoints, identities, and cloud payloads.

Con esta alianza, nuestros clientes podrán:

Stay ahead of sophisticated attacks using real-time intelligence.
Protect hybrid and multi-cloud environments with agility.
Strengthen your cybersecurity posture with full visibility into your infrastructure.
Respond quickly and automatically to incidents.

Today, organizations’ digital environments are increasingly distributed, and cyberattacks are evolving at a rapid pace. Therefore, this alliance allows us to offer security solutions that not only detect threats, but also prevent them thanks to the artificial intelligence and machine learning that power the CrowdStrike platform. Plus, with extended attack surface visibility and a Zero Trust approach, Security teams gain control without compromising the user experience.

In this way, we have no doubt that CrowdStrike, combined with Itera’s expertise and proximity, represents a new generation of solutions designed to protect your company’s most valuable asset: your information and continuity. In addition, this alliance responds to our commitment to offer services that not only solve current problems, but also prepare companies for what is to come.

Are you ready to add your company to this journey?

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Itera and Snowflake: A partnership to take data analytics to the next level

Eva Islas — Thu, 15 May 2025 19:04:09 +0000

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Itera and Snowflake Alliance

Itera and Snowflake:
A partnership to take data analytics to the next level

Publication Date:

15 May, 2025

At Itera, we believe that data is one of the most valuable assets in modern organizations. That’s why we’re proud to announce our partnership with Snowflake, one of the leading Data Cloud platforms, which enables us to strengthen our solutions in advanced analytics, scalable storage, and secure data processing.

Thanks to this collaboration, our customers will be able to:

Centralize your data in a single source of truth.
Scale frictionlessly according to your business needs.
Make decisions based on real-time analytics.
Maintain high standards of security and regulatory compliance.

This alliance comes at a key moment for companies that face increasing challenges in managing large volumes of dispersed information. So the duo Itera and Snowflake enable access to structured and unstructured data to become more agile and flexible, enabling business, IT, and analytics teams Collaborate in a secure, scalable, and fully cloud environment. From automating data pipelines to activating artificial intelligence and machine learning, this synergy undoubtedly drives the full use of the data ecosystem.

Likewise, the union of capabilities between Snowflake and Itera allows organizations to move towards a true data-driven culture, with flexible, efficient solutions prepared for current market challenges.

Today, more than ever, we are ready to accompany you in transforming your data into intelligence with our feet in the cloud.

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Atlassian System of Work: The Key to a More Efficient Team

admin — Fri, 14 Feb 2025 17:51:27 +0000

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Atlassian System of Work: The Key to a More Efficient Team

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DeepSeek

Atlassian System of Work: The Key to a More Efficient Team

In a world where collaboration and productivity are essential, many companies still face challenges such as tool fragmentation, lack of visibility into projects, and overload of manual tasks. Atlassian System of Work is the end-to-end solution for streamlining work management with the Atlassian suite, connecting teams, processes, and tools into a single, agile and efficient ecosystem.

But… What is the Atlassian System of Work?

Atlassian’s System of Work is a methodology designed for companies to improve work management with Atlassian, ensuring that all tasks flow smoothly. Thanks to the Atlassian, teams can reduce manual tasks and increase their operational efficiency.

Learn about the pillars of the Atlassian System of Work

Frictionless connectivity
Companies use multiple tools for work management, which can lead to disconnection and loss of key data. Atlassian integrates platforms such as Jira, Confluence, and Trello to ensure seamless collaboration between teams.

Automation in Atlassian
Repetitive tasks can be time-consuming and affect productivity. With the In Atlassian, teams can focus on strategic work while predefined rules manage operational flows efficiently.

Atlassian Team Collaboration
Teamwork is only effective if everyone has access to the information they need at the right time. The Atlassian System of Work makes collaboration easy by providing real-time visibility into projects, tasks, and deliverables.

Adaptability and scalability
Every business is unique, so Atlassian System of Work allows you to customize workflows, integrations, and reports to fit any team no matter their industry or size.

How does Atlassian Rovo power the System of Work?

In addition to the above, the incorporation of Atlassian Rovo becomes a key driver within the Atlassian System of Work. From the From Atlassian to task management assistance, Rovo’s AI optimizes the way teams work by helping to reduce errors, save time, and improve operational efficiency.

At Itera, we are convinced that the future of work is not just about more tools, but about a better way to organize and use them together. That is why we trust that, with With Atlassian System of Work, companies can unlock their full potential, streamlining work management, boosting team collaboration, and improving productivity.

Are you ready to transform the way your team works?

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DeepSeek

admin — Thu, 30 Jan 2025 18:01:30 +0000

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DeepSeek: The Cybersecurity Challenge

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DeepSeek: The Cybersecurity Challenge

DeepSeek has burst onto the AI landscape with an open access model that promises to revolutionize generative app development. However, like any disruptive technology, it also raises concerns around cybersecurity, data governance, and regulatory compliance.
Opening up advanced models like DeepSeek facilitates innovation, but it also amplifies the risks of misuse, data leakage, and vulnerabilities in enterprise environments. Because of this, its integration must always be accompanied by a reliable partner that guarantees that the adoption of AIs is carried out safely, efficiently, but, above all, that it generates value without compromising the integrity of the information. A partner like us, for example.

Shielding AI with Cybersecurity and Governance:

At Itera, we understand that the adoption of generative models such as DeepSeek must be accompanied by robust security and governance strategies. To this end, we offer solutions that optimize costs, maximize the value of data, and mitigate risks in AI environments:

Cloud Governance & FinOps: We optimize costs and governance in AI environments for full control of cloud infrastructure.
Data & Analytics: We implement advanced models to extract strategic insights that enhance decision-making.
Generative AI Adoption: We implement generative AI aligned with your business objectives.
Cloud Security & DevSecOps: We develop cloud security strategies to shield models such as DeepSeek and ensure their ethical and secure use.

DeepSeek on Amazon Bedrock: Secure and Scalable AI

If you’re looking to deploy DeepSeek in a secure, highly scalable environment, you can incorporate the use of AWS’s Amazon Bedrock, which offers a serverless infrastructure and a unified API that simplifies model inference. This way, you can leverage a platform that prioritizes security, scalability, and regulatory compliance, reducing risk and optimizing the management of your AI models.

Train to make the most of AI

However, adopting artificial intelligence is not only about implementing it, but about knowing how to use it correctly to maximize its impact. That’s why, in collaboration with IT Institute and Udemy, we offer training programs for your team to learn how to use tools like DeepSeek strategically and securely: from courses on cloud security to trainings on generative model optimization, we make sure that your company not only adopts AI, but masters it.

Explore the Potential of AI with Itera

Do you want to adopt artificial intelligence without compromising the security of your business? At Itera, we design custom strategies to ensure an efficient, secure implementation aligned with your business goals.

Contact us and transform your company with AI in a secure way.

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5 Tips to Improve Your Cloud Cost Strategy

admin — Wed, 04 Sep 2024 17:10:24 +0000

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5 Tips to Improve Your CloudCost Strategy

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5 Tips to Improve Your Cloud Cost Strategy

When we talk about the cloud, we address aspects related to architectures, services, and migration strategies. Within all this, it is essential to have a clear cost strategy that leads to its optimization in a natural way.

Unlike an on-premise scheme, cloud services have one of their pricing models on demand. In other words, you pay only for what is used in each and every one of the services.

Whereas in an on-premise infrastructure, everything has to be provisioned from the start, paying upfront or at a fixed cost. On-premise infrastructure is fixed by nature, which does not allow for the implementation of a cost strategy that facilitates its optimization.

This is because you buy a complete server with specific capabilities that will remain for its entire useful life, whether it is current or not. For that reason, over time, on-premise infrastructure becomes obsolete.

Pillars for a Cloud Strategy

A cloud strategy must be based on the principles of control, visibility, and continuity. That is, we must understand that nothing is definitive other than change.

In that sense, we have in our hands the power to add, subtract, assemble and disassemble an architecture as the business needs. Hence, immense possibilities arise to innovate, support customer requests and manage data repositories with a large amount of information.

Considerations for a Cloud Cost Strategy

Being on demand, if the aforementioned principles are not followed, budgets can overflow without knowing how to control them or even overpay due to lack of adequate infrastructure.

That’s why, based on the AWS Well-Architected Framework, we give you five tips to improve your cloud cost strategy:

1. Separate and label

In AWS, tagging, that is, tagging resources to designate an owner, area, project or user, will allow you to identify how much is spent for that area, owner or project. So, start tagging your assets as soon as possible.

Separating your workloads or environments by AWS accounts allows you to further refine your cost strategy. For example, in development environments, tests, countries, etc. One of the security principles is the separation of accounts so as not to compromise information or data, while at the same time serving to determine costs.

2. Understand the performance of storage, database, and instance services

To establish your cost strategy that allows you to optimize them, there is nothing like knowing if the resources are oversized or unused. Performance should be monitored, since, if there is excess, it is best to move the applications to a smaller machine and thus reduce the cost. If they are unusable, we should not leave them there; in the AWS Cloud, a machine can be provisioned in a matter of hours.

In terms of storage, a very common mistake is to think that in the cloud it works the same as on an on-premise server. Volumes attached to the machines are provisioned considering a number of GB or terabytes to store documents, files, etc., which can impact costs since the price is permanent as long as a certain amount of gigabytes or terabytes is provisioned. Therefore, sizing what we need is relevant to define your cost strategy.

In case of having files, documents or backups, these must be located in the specialized storage service that is S3, the latter being incredibly economical and managed. This can be reviewed on a monthly or bi-monthly basis as part of your cost strategy, as what you have today is probably not what you need tomorrow.

3. Access control under the least privilege scheme

Although it may seem like a security recommendation, it is also a security strategy. In case of not having a Cloud Government and free access is given to work teams, for example, development, it is very common for them to configure services freely without considering the budget and then forget to turn them off.

This can lead to an increase in consumption without knowing why or for what purpose the resource was raised by the people who manage the infrastructure.

4. Innovative architectures

Let’s start thinking about autoscaling and microservices. Let’s leave behind the fact of having a huge machine or several instances on all the time as if it were an on-premise scheme.

In AWS, there is autoscaling, where machines are provisioned vertically as requests grow. This, in addition to ensuring that all requests can be received and met, allows scaling to only be carried out by hours, minutes and seconds. Once the requests decrease, the number of basic servers is returned.

On the serverless side, having applications that do not require machine provisioning is key as part of your cost strategy, because it can produce savings of up to 60%, since these services have one of the lowest prices in the cloud. To get to this point, ongoing training is necessary, as well as establishing a cloud path.

5. Have a short-, medium- and long-term strategy

With the help of a partner, a strategic plan is developed in the cloud, through which it begins gradually, knowing in detail the status of the applications, bases and licensing.

A progressive, step-by-step path is defined, as well as what is required for seasons, days, special events, etc. And on top of this, resources are turned on and off, or they are monitored to control their consumption as part of the cost strategy.

Let’s remember that the *Well Architected Review* dedicates an entire pillar to a cost strategy to achieve its optimization, since both AWS and Itera seek to make you pay less and less. In this way, with the same budget, you drive continuous innovation and achieve an impact differentiator for your business.

See you in the cloud!

There are other strategies for cost optimization, as it is a particularly robust topic that cloud users should be aware of. If you want to know more, contact us and we will gladly provide you with more information about these paths.

Temas

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6 April, 2026

Kiro: a new way to build software with artificial intelligence

Learn what AWS Kiro is and how it transforms AI-powered software development through a spec-driven a

30 March, 2026

Agentic AI: the next step in your company’s digital evolution

Learn what Agentic AI is and how this autonomous AI drives strategic automation, optimizes operation

2 December, 2025

Boost your business operation with Amazon AI AgentOps

Learn how our Amazon AI AgentOps service enables AI agents capable of executing real actions on your

Topics

¿Listo para tomar el control total de tu inversión en la nube?

La entrada 5 Tips to Improve Your Cloud Cost Strategy 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.

Artificial intelligence 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

We are launching a new competition! Itera already has the AWS Data & Analytics distinction

We are launching a new competition!Itera already has the AWS Data & Analytics distinction

We are launching a new competition! Itera already has the AWS Data & Analytics distinction

What is the AWS Data & Analytics Competency?

What does this mean for our customers?

Why choose a partner with this competency?

And you? What part of your operation is waiting to be optimized by data?

Itera and CrowdStrike

Itera and CrowdStrike:A new era in smart cybersecurity

Itera and CrowdStrike: A new era in smart cybersecurity

Itera and Snowflake: A partnership to take data analytics to the next level

Itera and Snowflake:A partnership to take data analytics to the next level

Itera and Snowflake: A partnership to take data analytics to the next level

Atlassian System of Work: The Key to a More Efficient Team

Atlassian System of Work: The Key to a More Efficient Team

Atlassian System of Work: The Key to a More Efficient Team

DeepSeek

DeepSeek: The Cybersecurity Challenge

DeepSeek: The Cybersecurity Challenge

5 Tips to Improve Your Cloud Cost Strategy

5 Tips to Improve Your CloudCost Strategy

5 Tips to Improve Your Cloud Cost Strategy

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

We are launching a new competition!
Itera already has the AWS Data & Analytics distinction

Itera and CrowdStrike:
A new era in smart cybersecurity

Itera and CrowdStrike:
A new era in smart cybersecurity

Itera and Snowflake:
A partnership to take data analytics to the next level

Itera and Snowflake:
A partnership to take data analytics to the next level