Machine Learning focuses on recognizing patterns and predicting outcomes from existing data; Generative Intelligence they go further and are able to create new content – text, images, code or simulations – from what they learned. If you need to anticipate a behavior, Machine Learning is your thing; if you are looking for innovation, creation and new ways to interact with information, Generative AI is the answer. Itera Process, as an AWS Premier Partner with Generative AI Competency, advises organizations on when to use one or the other and how to combine them to maximize results.
Predictive AI focuses on analyzing historical data to anticipate what may happen: forecasting demand, detecting fraud, or estimating risks. Generative AI, on the other hand, not only predicts, but also predicts Create new content based on learned patterns. For companies, the former helps to plan better, and the latter drives innovation, creativity and new experiences. At Itera Process we integrate both to offer more complete strategies, combining prediction with value generation.
It is the foundation on which generative AI applications are built. It is a model trained on huge volumes of data, capable of quickly adapting to different use cases. For your company, this means not having to invest years in training a model from scratch – you can take advantage of a ready-made engine and customize it according to your industry. Itera Process accompanies organizations in the selection, customization, and secure deployment of these models in the cloud.
The greatest benefit is in freeing up time and resources. When teams spend too many hours on repetitive tasks—such as reviewing documents, sorting information, or answering queries—they lose focus on the strategic. With Generative AI you can automate these activities and focus talent on innovation and growth. Itera Process designs projects with clear use cases that allow you to see results from the early stages. If you want to see how we have achieved this, visit our success stories.
Return on investment is measured in three axes: time saved, cost reduction and new business opportunities. For example, if your team spends 500 hours per month on support and one model covers 70% of those queries, the savings are immediate. Itera Process defines success indicators from the start—productivity, speed of response, operational efficiency—and measures them during implementation, ensuring that ROI is a tangible result and not a promise.
Using uncontrolled public models can expose critical information. That’s why we work with Secure architectures, data encryption, and regulatory compliance from the design. Itera Process applies cloud security best practices so that you leverage AI without compromising the confidentiality of your information.
The Generative AI must operate in compliance with regulations such as ISO, GDPR, HIPAA or local regulations in LATAM and Europe. This involves establishing end-to-end access controls, traceability, auditing, and encryption. Itera Process applies an approach Security by Design, integrating regulatory requirements from the beginning to avoid legal and reputational risks.
The key is to show value from day one. With pilots focused on real problems, the team understands that Generative AI it does not replace positions, but eliminates repetitive tasks. Itera Process reinforces this process with training, co-creation, and ongoing support, making adoption natural and sustainable.
If your organization handles large volumes of data, spends a lot of time on manual tasks, or is looking for new ways to innovate, it’s probably ready to go. The key point is not only the technology, but the strategy: Identify use cases that generate real impact. Itera Process starts each project with a digital maturity diagnosis and designs a secure and scalable plan that maximizes results without disrupting the current operation.