AI is becoming a dominant topic in various fields. For those who work in digital means finding a possible key to speed up and optimize your work. And there are truly a lot of solutions. However, a controversial point is that of optimization, because AI would risk lowering quality standards, impoverishing professions - or even making them disappear - harming artistic rights and much more...
Since there are many sectors of interest, we can see cases where both extremes and many nuances occur.
To understand something, in the meantime, let's get to know AI better from the basics. We see neural networks, machine learning and deep learning. Then we'll move on to some uses which are mainly of interest to those who work in digital, until we see the realities that today make AI in Italy and get an idea of what it takes to create an AI.
Content index
Neural Networks
Artificial neural networks are computational models inspired by the functioning of the biological neural networks of the human brain. The different types of neural networks are the feedforward, convolutional and recurrent. The main applications are:
- computer vision,
- natural language processing,
- data forecasting and analysis,
- time series analysis and forecasting,
- medical diagnostics,
- industrial automation,
- image recognition.
Machine learning and deep learning
Il machine learning algorithm it relies on algorithms that learn from data to make predictions or decisions without being explicitly programmed for each individual task. The deep learning, more powerful, seeks more difficult applications such as computer vision and natural language understanding.
AI applications in digital marketing
In this sense, AI offers tools aimed at the effectiveness of advertising campaigns in several senses:
- analysis and monitoring of trends (also SEO), patterns and trends,
- also on Social, relating to opinions and reactions in real time,
- optimization of ads for different demographic groups,
- AI that segments the public based on behaviors and preferences,
- chatbots that provide immediate and personalized assistance 24/7,
- tools for creating written, graphic and audiovisual content.
Applications that offer opportunities and risks, which need to be recognized. Especially for content creation, the contribution that AI gives must be balanced with the quality and customization that the human professional can offer. Then you also need to track down spam and advanced phishing.
AI in cybersecurity
At the same pace as the tools seen above, tools to identify AI are being developed. Then you pass through the detector written content made by AI and copied, up to optimal prevention of cyber attacks for large companies.
AI in Italy
The market here is experiencing significant growth. In the 2022 there was an increase in 32% of the value of the AI market. Market that has reached i 760 million euros in 2023, attesting to one growth of 52%. At the end of 2024 is expected to record growth of 68%.
Among the sectors that invest most in AI we find telecommunications, media, insurance, production and distribution of energy and resources, utilities, banks and the world of finance in general. 61% of large companies have started at least one AI project, while among SMEs only 18%.
Companies in Italy that deal with AI
Expert System specializes in artificial intelligence solutions fornatural language processing. It uses machine learning algorithms and AI techniques to improve understanding and analysis of texts, offering advanced solutions for companies in various sectors. Spindox uses advanced machine learning and data analytics technologies to optimize business processes and improve operational efficiency. Almawave working on language recognition and semantic analysis, it offers solutions that improve the customer experience and the automation of business processes. Datalogic works on industrial automation and computer vision. QuestIT focuses on the development of intelligent virtual assistants and chatbots.
And how is an AI created today?
To create and develop an artificial intelligence you must first have theaccess to a large amount of data and naturally Be clear about the specific functions you want the AI to do.
To help with the data, ImageNet recognizes images and OpenAI e Google offer natural language datasets. Then it is essential to have access to machine learning and deep learning frameworks such as TensorFlow, PyTorch and Keras, which facilitate model building and training.
On the hardware front, GPUs are essential for accelerating the training process, especially in deep learning.
How many and which professionals are needed?
To create an AI you need:
- programmers,
- data analysts,
- machine learning experts,
- software engineers,
- business intelligence developers,
- IT architects,
- data labeling specialists,
- hardware developers,
- data security specialists including copyright experts.
If you've made it this far, it means you're interested in creating an AI as a business project. Or perhaps you are interested in automating data, calculations and processes to gain time and focus on other aspects of your business, so you would like to implement software?
At Kilobit you will find a 360° network of professionals for consultancy, contacts, collaborations and services. Contact us to find out more.
