Welcoming 2025, we can’t wait for the amazing things, technology, events, and goodness it’ll bring us. But, like our resolutions, we need to keep in mind what we’ve learned from the past year.
Speaking of which, 2024 was definitely the year of AI as we saw great applications incorporating AI and generating mind-boggling results. Not only this but these applications gave Actualización (upgrade) to the existing systems, leading to Clientes satisfechos (Satisfied customers).
So, with that in mind, we’re going to check out some of the best AI trends of 2024 that will impact how things work this year:
Augmented Working
AI-enabled industries to introduce augmented working. This model works by combining manpower with machinery, making it easier to ensure exactitude (accuracy) for sensitive tasks that were impacted due to human errors.
Although it seems that machines and robots took over human jobs, these were introduced to assist humans in achieving accurate results in less time. Augmentative technologies operate using Artificial Intelligence and Machine Learning algorithms that calibrate according to the requirements and enhance user performance.
Moving forward, the technology will be heavily used to assist workers in their domains. For instance, operators in the bio-industry can easily handle hazardous materials without contact and can prevent an outbreak, with the sensors providing insights beforehand.
Advanced Language Models (LMs)
We’re all aware of the impact that AI-based language models made. Advanced language models are a big help for customer services that want to enhance the experience for their customers and handle large amounts of datos (data) at the same time.
These models use AI-based systems that go through tons of reading materials to understand and process human language. Once done, these models use statistical techniques to predict a string of words to communicate with users.
The implementation of these models can improve client communication for numerous organizations. Take Xfinity for example. It stands out for its exceptional customer service, catering to both English and Spanish-speaking customers(Xfinity servicio al cliente en español). However, its advanced Chat Support utilizes LMs to comprehend customer inquiries, providing prompt and effective responses to ensure seamless support.
Multimodal AI
Another engaging trend that we’d get to see extensively this year will be multimodal AI. It includes machine-learning models that process vast data regardless of its type. In other words, the model can interpret text, image, video, audio, and other forms of data in any way the user wants.
Previously, these models were only unimodal i.e., ChatGPT, which produced text-based results only. Multimodal systems can use different kinds of data and produce desired results i.e., ChatGPT’s developed models.
AI Regulatory Architecture
While the applications of AI are countless and amazing at the same time, it’s important to regulate its usage. For that purpose, organizations and governments are working together to formulate regulatory architecture to mitigate harmful usage of AI and its integrations.
These regulations are primarily focused on:
- Compliance: to ensure that the use of AI and the results generated adhere to the standards authorized and legalized. This mitigates the instances of harmful usage of AI-based tools and software.
- Trust: to ensure that AI-based tools are used to generate results fairly. This mitigates any errors in experiments or data analysis, the primary reason why AI was incorporated instead of humans.
- Efficiency: to ensure that AI incorporation optimizes the overall workability of organizational workload. This eliminates the high expense of incorporating AI as well as using it for streamlining processes.
The regulatory bodies urge all organizations to adhere to these guidelines to ensure that AI is used within legal boundaries. In addition, it also ensures that data scientists use the learning models to generate accurate and fair results.
With these guidelines, we can expect to see numerous changes in how AI is used. Moreover, it also refines the guidelines for copyrights, mitigating infringement while generating originality.
AI in Fintech
From data automation to fraud detection, customer services automation to forecast analysis, there’s a lot that AI will handle in the future. The industria de servicios financieros (financial services industry) is already leveraging AI for various purposes, and we’ll see more of it in the future.
From AiDA’s insurance claim AI tool to Active.ai’s chatbot services, financial organizations are heavily depending upon how AI processes data and interprets results accordingly. The only concerning elements include security and accuracy. Nevertheless, as technology continues to evolve, we can expect innovative solutions to address the challenges.
