Question 1

What is Machine Learning and how does it work?

Accepted Answer

Machine Learning is an area of Artificial Intelligence that allows systems to learn patterns from data without rigid programming. This helps companies automate analyses, predict behaviors, reduce failures and make faster, more precise decisions.

Question 2

What's the difference between Machine Learning and AI?

Accepted Answer

Some of the main use cases include:
• Demand and sales forecasting;
• Fraud detection;
• Automatic document classification;
• Product recommendation;
• Churn prediction;
• Image and audio recognition;
• Automation of repetitive processes.

Question 3

Does my company need a lot of data to use ML?

Accepted Answer

Not necessarily. Models can be trained with smaller amounts of data, as long as they are well structured. ST IT Cloud also helps create data pipelines, ensuring volume, quality and governance so that ML is scalable over time.

Question 4

How long does it take to see results with ML?

Accepted Answer

No. It complements human work by automating repetitive tasks and complex analyses, freeing teams for strategic, creative and decision-making functions.

Question 5

Does Machine Learning replace human decisions?

Accepted Answer

Accuracy depends on three essential factors:
• Data quality and integrity;
• Choosing the correct modeling techniques;
• Continuous validation and monitoring.

We implement MLOps practices to ensure model performance and auditing over time.

Question 6

How to ensure models are correct?

Accepted Answer

Yes, as long as the project adopts good security and governance practices. ST IT Cloud uses encryption, IAM, access control and continuous monitoring to ensure that data and models are protected.

Question 7

What languages and tools do you use?

Accepted Answer

The timeline varies depending on complexity, but well-defined projects can generate initial results between 4 and 12 weeks. We use scalable architectures on AWS to accelerate from prototype to production.

Question 8

Can ML be integrated with existing systems?

Accepted Answer

The most common are:
• Starting without clarity of the problem;
• Disorganized or ungoverned data;
• Lack of continuous validation;
• Creating models that never reach production.

Our business-oriented approach avoids these risks from architecture to operations.

Question 9

How does ML project pricing work?

Accepted Answer

Your company is ready if:
• It has minimally organized data;
• It has a clear business problem;
• It seeks to reduce costs or increase efficiency with technology;
• It wants to automate analyses or processes.

ST IT Cloud can assess your maturity and indicate the fastest path to generate value.

Question 10

Does ST IT Cloud offer post-deploy support?

Accepted Answer

Yes. We develop models and APIs that connect to ERPs, CRMs, mobile apps, databases, workflows, internal systems or cloud solutions, without friction and with high performance.

Machine Learning for faster and more precise decisions

Machine Learning: transform data into intelligent decisions

ST IT Lab solutions in AI and Machine Learning

Innovation that Drives Results with Machine Learning

Why do we do it?

How do we do it?

What do we deliver?

Frequently Asked Questions

Empower your business with Machine Learning in practice