Grand Thera Advances the Applied AI Agenda at OpenAI's "Todos pela IA" Event at TOTVS São Paulo

Grand Thera contributed to the executive debate at the OpenAI-powered event organized by iMasters and hosted at TOTVS.

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About the Event

• “Todos pela AI”, an OpenAI-powered event organized by iMasters and hosted at TOTVS São Paulo, bringing together technology leaders, executives, and AI practitioners.

  
  

• Focused on real-world applications of Deep Learning, Data Science, GenAI, and scalable enterprise AI architectures.
  

The Market Context

The AI ecosystem is increasingly influenced by narratives that blur the distinction between generative interfaces and production intelligence systems.

• Confusion between GenAI capabilities and structured AI/ML architectures.

• Overreliance on prompt-based solutions without robust data foundations.

• Market expectations misaligned with technical limitations.

• Limited discussion on scalable and hybrid AI frameworks.
  

The event provided a high-level platform to realign AI expectations with technical rigor and measurable business value.

Grand Thera Participation

Grand Thera was invited to contribute a critical and evidence-based perspective on applied AI.

• Presented consolidated market data and cross-industry impact metrics.

• Clarified distinctions between Machine Learning, Deep Learning, Advanced Analytics, and GenAI layers.

• Explored hybrid and alternative architectures such as Hidden Markov Models (HMMs) and Liquid State Machines.

• Reinforced the principle that structured data precedes GenAI value amplification.

• Shared practical enterprise cases, including TheraOS applications.
  

The session concluded with an extended Q&A, strengthening dialogue grounded in technical clarity rather than speculative positioning.

Contribuition to the Ecosystem

Grand Thera contributed to elevating the technical and strategic depth of the AI dialogue, providing practical clarity in a market often influenced by simplified narratives.

• Enabled live testing of AI technologies during the event, allowing participants to interact directly with applied solutions.

• Provided real-time advisory on ongoing AI projects, helping executives reassess architectural and strategic decisions.

• Helped companies recalibrate expectations regarding GenAI versus structured AI deployment.

• Clarified where traditional Machine Learning, Advanced Analytics, and Generative AI should each be applied to maximize value.

• Demonstrated how to amplify core business performance through structured data foundations rather than isolated AI tools.

Participants left with a more precise understanding of how to deploy AI within their organizations - not as an isolated innovation layer, but as an integrated value-generation architecture aligned with their core business strategy.