Learn how your business can leverage GenAI to improve processes, transform business and generate innovation.
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According to experts and analysts, GenAI is a disruptive technology that will significantly transform competition in the coming years, especially in knowledge-based industries.
Global spending to support AI strategies is expected to reach $337 billion in 2025, doubling by 2028.
In Italy, a positive impact on the national GDP of over 2% is expected by 2026.
Artificial Intelligence is not a new invention, but with the advent of ChatGPT, a generative chatbot launched in 2022, it has become easily accessible and hugely popular.
Use cases
GenAI is used to generate new content such as high-quality text, audio and video from prompts typed in natural language.
Some examples of use:
Digital assistant
- Translation and content summarisation
- Support for the creation of reports, research and presentations
- Support for the drafting of guides and manuals
Conversational assistant
- Customer support (advanced chatbots capable of accurately understanding requests and holding seemingly natural conversations)
Marketing support
- Sales lead segmentation and scoring
- Understanding customer sentiment
- Image, audio and video creation
Human resources support
- Screening of job candidates
- Accelerated learning
Customer operations support
- Understanding the nature and intent of incoming documents
- Complaint analysis and routing
Features
Compared to traditional AI, which is based on pre-programmed rules and algorithms, GenAI primarily uses advanced machine learning techniques to learn how to interpret recurring patterns from training data and use this knowledge to return original and realistic outputs.
There are several ways to bring Generative Artificial Intelligence into your company:
- Public GenAI (general purpose)
Uses one of the large public models available in the cloud. - Vertical GenAI
Relies on a public model, integrating it with a subset of data specific to your business. - Private GenAI (on-premises)
AI is brought in-house, keeping data and resources under company control.
The choice of adoption mode depends mainly on the degree of specificity of your business and the level of control the company wants to maintain over the inputs and outputs generated.
Xinapsi, the hybrid plug-in model
Xinapsi is the hybrid plug-in approach to building on-premises artificial intelligence services tailored to individual businesses. Xinapsi combines the power and convenience of a public model with the specificity, accuracy and confidentiality of on-premises AI.
With Xinapsi, you can maximise benefits while containing costs and minimising operational risks.
- Model training is integrated with specific data controlled by the company
- The verticalised model remains an asset governed exclusively by the company
- The CIO maintains full control over the data: no information leaves the company perimeter or is used to train the public model
- Responses are accurate and relevant, and the sources that generate them are transparent
With Xinapsi, the CIO maintains control
- Output quality
With Xinapsi, the model does not degrade over time because it is based on constantly updated real data. - Privacy and confidentiality
The core of Xinapsi is a closed system that prevents sensitive or confidential information from being inadvertently exposed. Prompting data remains within the company, preventing strategic information from being shared with model providers and reused. - Model manageability
Generative AI requires and produces a lot of data. With Xinapsi, you can keep copies of training data sets limited to the customised part. - Xinapsi productivity
Multiplies the capabilities of your employees, makes them work better and assists them in all activities.