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The technology professor who doesn't want technology to think for you.

Carlos Diego holds a doctorate in Computing and is a university professor and entrepreneur. He has worked with technology for more than 20 years and talks about artificial intelligence, education, work and careers for people who don't live and breathe technology.

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Carlos Diego Cavalcanti Pereira seated, in a black T-shirt, in an office setting
01

The conversations he starts

Carlos Diego works with artificial intelligence and, for that very reason, questions how it is being adopted. He talks less about tools and more about what technology changes at university, at work, in companies and in everyday life.

AI + education

Are we teaching young people to use AI before teaching them to think?

A doctor in Computing and a professor who argues for limits on students' use of AI.

  • Do we need AI-free zones in education?
  • Is a student who outsources reasoning to AI really learning?
  • Is the ChatGPT generation unlearning how to make mistakes?
  • Does university still make sense in the age of artificial intelligence?
AI + business

Your company probably doesn't need as much AI as you think.

As a tech business leader, he talks about the mistakes companies make in the race to look innovative.

  • Before buying AI, fix your data
  • AI won't save a disorganized company
  • Why are some companies using AI where a spreadsheet would do?
  • What happens when we outsource decisions to algorithms?
Technology + real life

We use AI to save time. But what are we doing with the time we save?

Technology for people who don't live and breathe technology.

  • Do you need to understand technology to stay employable?
  • Could your first job disappear because of AI?
  • Is learning to code still worth it for those starting out now?
  • Do we really need to be productive all the time?
Education + careers

The problem isn't AI stealing your job. It's graduating without knowing how to solve problems.

A professor's view of the gap between university and the job market.

  • If AI does your coursework, who is actually graduating?
  • What to study so you're not competing with an AI
  • You don't need to be a success by 25
  • Curiosity, questions and fundamentals: what still matters

FormatsInterviews, news commentary, opinion pieces, podcasts, videocasts, radio, debates and talks.

02

What he thinks

Ten positions Carlos Diego holds on technology, work and education. They may be attributed to him.

  1. 01
    Artificial intelligence in education

    Schools need to create spaces where artificial intelligence does not enter.

    AI can expand learning, but it should not eliminate intellectual effort. Schools and universities need to preserve exercises, debates and assessments in which students develop their own reasoning. Learning is not just finding the right answer, but understanding how to get there.

  2. 02
    The future of professions

    The biggest risk is not AI replacing professionals, but making the skills they have today insufficient.

    The job market will not be transformed evenly. Some tasks will be automated, others will become more complex. What sets professionals apart will increasingly be the ability to solve problems, make decisions and understand contexts that go beyond the answers systems generate.

  3. 03
    Programming and software development

    AI is making it easier to write code, but it is not making it simpler to build good systems.

    Generating code is only one stage of development. Designing architectures, ensuring security, dealing with distributed systems and understanding real needs still require technical knowledge. The ease of producing software must not be mistaken for the ability to build reliable technology.

  4. 04
    Productivity in companies

    Not every gain in efficiency is progress.

    AI adoption should not be measured by the number of automated tasks or the time saved. A company can produce more reports, content and analyses without making better decisions. Productivity must mean creating value, not just going faster.

  5. 05
    Digital transformation

    Companies don't fail at digital transformation only because of technological limits. Many fail because they try to modernize tools without changing processes.

    Moving to the cloud, buying platforms or implementing AI does not solve structural management problems. Transformation starts with understanding the business and reviewing processes. Technology applied to a disorganized operation may simply amplify its inefficiencies.

  6. 06
    Big Tech and technological sovereignty

    Technological dependence can become a greater strategic risk than lacking access to the most advanced technologies.

    The concentration of infrastructure, computing capacity and digital services in a few vendors demands attention. Companies and governments need to discuss interoperability, portability and autonomy. The point is not to abandon large platforms, but to keep essential decisions from depending on a single vendor.

  7. 07
    Entrepreneurship and startups

    The market doesn't need more startups that use AI. It needs companies that solve real problems.

    Adding artificial intelligence to a product is not, on its own, meaningful innovation. Sustainable businesses depend on well-defined problems, consistent execution and measurable results. Technological enthusiasm is no substitute for a value proposition.

  8. 08
    Privacy and data

    Artificial intelligence is making it easier to share information than to understand what happens to it.

    The natural feel of conversations with AI systems can lead people and companies to enter sensitive data without weighing the risks. The privacy debate needs to go beyond terms of use and reach data governance, transparency and the accountability of those who build and use these solutions.

  9. 09
    The AI hype

    Fear of falling behind is leading companies to adopt technologies before understanding why they need them.

    The pressure to innovate can turn AI deployment into a marketing decision rather than a strategic one. Experimenting is necessary, but not every application justifies the investment. Technological maturity also means recognizing when a conventional solution is the better fit.

  10. 10
    The future of higher education

    Artificial intelligence will not end the university, but it may make the way some institutions teach and assess obsolete.

    If a tool can fully complete the activities assigned to students, we must ask what those activities really assess. Higher education needs to value inquiry, argumentation, scientific thinking and the practical application of knowledge, instead of relying solely on reproducing content.

Quotes

We should be encouraged from an early age to embrace criticism and to change in the face of new evidence.

Carlos Diego

Success is not a destination; it is a process sustained over time. It is born of curiosity, discipline and intellectual humility.

Carlos Diego
03

Biographies

Four versions of the same text, one for each space. Use them as they are or edit them to fit your outlet.

One line38 words

Carlos Diego holds a doctorate in Computing and is a university professor and entrepreneur: he teaches at CESAR School, is a Visiting Fellow at the Massachusetts Institute of Technology (MIT) and is the founder and CEO of Valcann.

Short74 words

Carlos Diego Cavalcanti Pereira holds a doctorate in Computing and is a university professor and entrepreneur. He has worked with technology for more than 20 years and argues that artificial intelligence should expand people's ability to think rather than replace it, especially in education. He teaches at CESAR School, is a Visiting Fellow at the Massachusetts Institute of Technology (MIT) and is the founder and CEO of Valcann, a cloud, data and AI company.

Medium143 words

Carlos Diego Cavalcanti Pereira holds a doctorate in Computing and is a university professor and entrepreneur. He has worked with technology for more than 20 years, builds solutions with artificial intelligence and, for that very reason, argues for limits on its use: in education, AI should expand learning, not eliminate the learner's effort; in companies, efficiency only counts when it creates value.

He teaches at CESAR School, in the undergraduate program in Computer Science and in the master's and doctoral programs in Software Engineering, where in 2023 he defended Brazil's first doctorate in Software Engineering. He is a Visiting Fellow at the Massachusetts Institute of Technology (MIT), where he researches data and trustworthy artificial intelligence, and the founder and CEO of Valcann, a cloud, data and AI company born at Porto Digital, in Recife, Brazil, and acquired in 2023 by EPI-USE (Group Elephant).

Long279 words

Carlos Diego Cavalcanti Pereira holds a doctorate in Computing and is a university professor and entrepreneur. He was born in Brazil's Northeast and has spent much of his life between Olinda and Recife, in the state of Pernambuco. His interest in technology began in childhood, in front of a friend's computer, and became a complete path: technical training, undergraduate studies, a master's degree and a doctorate.

He has worked with technology for more than 20 years and builds solutions with artificial intelligence. Precisely because he knows what AI can do, he argues that it should be used with judgment: in education, to expand learning without eliminating the learner's effort; in companies, to create value, not just speed. His question is less about what technology does and more about what it changes at university, at work and in the lives of people who don't live and breathe technology.

He started as a programmer in 2004 and led technology areas in industry and the nonprofit sector, at Fiabesa and World Vision, before founding Valcann, a cloud, data and AI company born at Porto Digital, where he serves as CEO. In 2023 the company was acquired by EPI-USE, part of Group Elephant.

He began teaching in 2010. Today he teaches at CESAR School, in the undergraduate program in Computer Science and in the master's and doctoral programs in Software Engineering. It was there that, in 2023, he defended Brazil's first doctorate in Software Engineering. He is a Visiting Fellow at the Massachusetts Institute of Technology (MIT), where he researches data and trustworthy artificial intelligence, an AWS Ambassador for Latin America since 2020, and the author of the book Cloud-Native Software Architecture (2026).

04

Fact sheet

Full name
Carlos Diego Cavalcanti Pereira
How to introduce him
Carlos Diego, doctor in Computing, professor and CEO of Valcann. On later mentions, Carlos Diego.
Article byline
Carlos Diego, doctor in Computing, entrepreneur and university professor
Roles
Professor at CESAR School · Visiting Fellow at the Massachusetts Institute of Technology (MIT) · Founder and CEO of Valcann (EPI-USE · Group Elephant)
MIT affiliation
Visiting Fellow at the Massachusetts Institute of Technology
Education
Doctorate in Software Engineering (CESAR School, 2023) · Master's in Computer Science (UFPE, 2014)
From
Olinda and Recife, Pernambuco, Brazil
Languages
Interviews in Portuguese, English and Spanish
05

Career

06

Photos

Official portraits in JPG. Credit: Press handout. For another resolution or format, ask through the contact below.

Carlos Diego Cavalcanti Pereira in a white shirt against a gray background
Portrait 01 · white shirt, neutral backgroundDownload ↓
Carlos Diego Cavalcanti Pereira in a black shirt against a dark background
Portrait 02 · black shirt, dark backgroundDownload ↓
Carlos Diego Cavalcanti Pereira seated, in a black T-shirt, in an office setting
Portrait 03 · workplace settingDownload ↓
Cover of the book Cloud-Native Software Architecture
Book cover: Cloud-Native Software ArchitectureDownload ↓
Carlos Diego Cavalcanti Pereira in a dark blazer, outdoors
Portrait 04 · blazer, outdoorsDownload ↓
07

Contact

Press office

Engaja Comunicação

Interview requests, comments and story pitches go through the press office. Include your outlet, topic and deadline. Interviews in Portuguese, English and Spanish, in person or remote.

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