According to Business Insider Spain’s AI Forecast 2024, “most companies will increase their investment in AI by 2024”. It is therefore imperative to familiarise yourself with the cutting edge of artificial intelligence, as its rapid technological advancement redefines business dynamics in increasingly competitive environments.
Being aware of AI trends in 2024 not only enables organisations to adapt and adopt innovative technologies to drive efficiency, productivity and strategic decision-making, but is also essential to meet market demands and consumer expectations. Moreover, being aware of these trends allows companies to anticipate future opportunities and challenges, placing them in a leadership position in their respective industries.
Discover in this article the AI trends in 2024 that businesses can use to transform the way they interact with customers, manage operations and stay ahead of the game in terms of competitiveness.
Table of contents
Multimodal AI – Images, text and sound
Multimodal AI is a branch of artificial intelligence that is distinguished by its ability to simultaneously process and interpret multiple types of data from different modalities, such as text, images and sounds. Unlike unimodal AI, which focuses on a single type of data, multimodal AI integrates and analyses information from a variety of sensory sources, better reflecting the way humans interact with the world using multiple senses.
Multimodal AI has key applications in a variety of sectors. In healthcare, it improves diagnoses by combining data from medical images, medical records and voice logs. In commerce, it personalises experiences by analysing tone of voice, expressions and visual preferences. In education, it adapts materials and assesses student engagement by considering visual, auditory and textual cues. In security, it optimises threat detection by jointly analysing video streams, audio data and sensors.
Agentic AI – Autonomous Artificial Intelligence
Intelligent Agents are an advanced form of artificial intelligence that can perform operations autonomously, going beyond the simple automation of routine tasks. In business, it is applied to support the company management autonomously, making strategic decisions and coordinating complex tasks without the need for constant human intervention. This approach involves the use of advanced algorithms and large linguistic models to achieve autonomy and decision-making in business environments.
Another example of the application of an intelligent agent could be in the field of HR, in the recruitment process, this agent would analyse CVs, assess competencies and allowing an initial screening, eliminating biases and speeding up the selection process. It would also offer personalised career development recommendations for current employees.
Augmented Retrieval Generation – Improving language generation with access to external data
Another AI trend in 2024 is augmented retrieval generation, an innovative technique that combines the language generation capability of pre-trained linguistic models with the ability to retrieve relevant information from external document sets. Unlike other artificial intelligences, augmented retrieval generation uses non-parametric memory to access additional data through a retrieval mechanism, thus enriching the generated output. This technique finds practical applications in tasks that require extensive natural language processing skills, such as answering questions, summarising content and generating coherent text.
According to Matei Bucur’s study, it is particularly effective when seeking to improve contextual understanding and personalise language generation from specific information stored in external documents.
A practical example of augmented retrieval generation would be a virtual assistant that, upon receiving questions from users, uses specific information retrieved from external documents, such as manuals or FAQs, to contextually enhance and personalise its answers. This allows for more accurate answers tailored to the user’s particular situation, and is expected to be one of the AI trends in 2024.
Generative AI – Creativity and efficiency
Generative artificial intelligence is a branch of artificial intelligence that uses machine learning algorithms to create new content, designs or ideas in innovative ways by analysing patterns and learning from existing examples.
Personalised Generative AI models – Privacy at the core
Having personalised and generative artificial intelligence offers a company significant advantages. This technology enables the automatic creation of creative and personalised content, from advertisements to product recommendations, optimising interaction with customers.
Moreover, by adapting to individual patterns and preferences, it enhances hyper-personalisation, elevating the customer experience. Operational efficiency is increased by automating complex tasks, generating time and cost savings. With the ability to learn and evolve, personalised generative AI becomes an invaluable tool for continuous innovation, enabling the company to stand out in a dynamic and competitive market.
Final thoughts: AI trends in 2024 and their impact on our future
Understanding AI trends in 2024 is crucial in a world where innovation is key. It is imperative that companies adopt these tools to differentiate themselves from the competition and prepare for the future. Nucleoo offers the opportunity to apply these technologies to businesses in a variety of industries to stay ahead in a dynamic and competitive marketplace. Differentiate yourself from the competition and prepare for the business future.