From "Traditional" AI to Generative AI

Artificial Intelligence became a key tool in understanding and combating the virus in the early days of the pandemic. We utilized AI to analyze infection patterns, predict outbreaks, and provide real-time solutions. The app we developed to combat COVID-19, based on real-time data analysis to identify trends and anomalies in virus spread, was a clear example.

Traditional AI, while excellent at identifying patterns and making predictions based on historical data, was not always able to adapt to the speed and unpredictability of the pandemic. This highlighted the need for a more dynamic and creative approach to technology: Generative Artificial Intelligence.

To understand how they relate, it is interesting to refer to the following figure:

Generative AI is a subfield of Deep Learning that uses deep neural networks to generate new data based on learned patterns from training data. While AI focuses on processing and analyzing data, Generative AIs focus on creating, better adapting to constantly changing situations.

Today, Generative AIs are redefining multiple sectors. In this article, we will discuss how they are doing so in call centers, universities, and hospitals already benefiting from the advantages of Generative AI:

Call centers

Transforming how call centers support operators in customer service.

• In the public sector, facilitating access to transaction information through generative AI-based chatbots that process all corporate databases.
• In the private sector, offering generative AI systems supervised by a human.
• Harnessing the power of RAG (Retrieval Augmented Generation) to work with dynamic information without retraining the model each time, also reducing the level of AI hallucination.

Universities

Changing how universities interact with students, for example, supporting selecting studies.

• Generative AI-based virtual assistants customized with all internal corporate information about the institution's educational offerings.
• Unsupervised student support systems that assess and control the impact and likelihood of generating erroneous responses or hallucinations.
• Addressing privacy issues inherent in AI by applying advanced safeguard mechanisms.

Hospitals

In the healthcare sector, this technology is modernizing patient support by offering contextualized medical information and facilitating appointment management, representing a significant advancement in communication and efficiency in the healthcare sector.

• Customized access to medical information and hospital knowledge databases.
• Integrated into the patient portal, without human supervision, considering the specificities of responses generated by generative AI.
• Evaluating the effect of different techniques in reducing the number of hallucinations or erroneous responses (fine-tuning vs. RAG, few-shot learning, zero-shot prompt).

Despite its benefits, Generative AI presents challenges, advantages, and disadvantages as discussed in the article "The Definitive Guide to Generative Artificial Intelligence," which you can refer to here.

Generative AI is redefining technological interaction in various sectors, marking a leap toward a future where AI not only responds but anticipates and actively contributes to a better world. Contact us to discover how Generative AI can transform your organization.