2023-11-30 16:00:03
2023 saw the emergence of new IT trends such as generative artificial intelligence (AI), including ChatGPT.
2023 saw the emergence of new IT trends such as generative artificial intelligence (AI), including ChatGPT. The arrival of these technologies – alone or combined with others – has allowed many organizations to find solutions to certain problems, particularly in the management and automation of certain tasks. At the dawn of 2024, it is time to look back at the main challenges that marked the year and, above all, to anticipate those to come.
Lessons for 2023
In terms of new technologies, the year 2023 was marked by a number of innovations, such as generative AI. If this “autonomous” technology makes it possible to automate certain tasks and therefore to lighten workloads (although to be used optimally, it requires a human presence to calibrate), it also makes it possible to carry out cyberattacks fueled by AI (the year 2023 was also a record year in this area). The intersection between the AI and cybersecurity industry is constantly evolving, and it is important to always stay alert and strengthen your knowledge in order to combat emerging cyber threats.
When it comes to AI skills, it is important that all parties involved (developers and vendors) understand the issues. Indeed, one of the key takeaways from 2023 is the speed at which the availability and adoption of AI technologies has grown. It is therefore becoming increasingly clear that AI has the potential to be omnipresent in our daily lives, and in all areas of life.
However, it must be recognized that simply having AI technology is insufficient. The key to unlocking the potential of AI is alignment with business strategy and employee needs. By seeking to align with individuals in real time, it is possible to optimize their experience and improve the effectiveness of AI.
That said, integrating AI capabilities can also pose challenges. For example, aligning too quickly can be inconsistent and error-prone. Navigating these nuances is an integral part of AI implementation. Technology is emerging as a key enabler of digital transformation – in the same way that information technology has leveraged execution capabilities, AI has the potential to augment decision-making capabilities. It is clear that its role will continue to expand and evolve in the years to come. It is therefore essential to stay alert to continue to develop resilient and adaptable capacities to cope with them.
On the way to 2024
Considering all of this, it is evident that by 2024, the technology landscape will see a significant increase in the accessibility of generative artificial intelligence (AI) tools. From a software development perspective, this should lower the barriers and prerequisites to development, resulting in a much more diverse talent pool. Individuals with experience in self-directed learning would then be able to develop proofs of concept or early versions of products or services.
At the enterprise level, we can expect these tools to play a supporting role – amplifying developer capabilities, speeding up coding tasks, and highlighting potential issues that often give rise to sessions in-depth debugging. These technological improvements can result in productivity increased and, on average, by better code quality. Additionally, generative AI tools enable companies to offer new types of software that rely not only on predetermined logic, but also on data and insights. historical content. This allows these systems to perform advanced functions and perform actions that are not conventionally possible to fix in code.
This evolution paves the way for superior service offerings, such as chatbots that we see today. This new software model offers the industry untapped potential, allowing us to venture into uncharted territory. These technological innovations will allow us to tackle problems on an unprecedented scale, paving the way for a future full of possibilities and solutions.
It is therefore also necessary to consider that the regulation of AI be strengthened, taking into account several key factors such as the rights to access data (growing concern around privacy and the use of data). One possible application is that of the right to be forgotten in AI models. Due to the large amount of data it is certain that the regulations focus more on anonymization action. As a result, companies may need to demonstrate their data anonymization methodologies, ensuring they comply with designated privacy regulations. Another imperative consideration is the incorporation of “AI-generated” disclaimers. As we move forward and the gap between AI-generated content and human content narrows, it’s important to make this clear to users.
During this onboarding phase, all AI-generated content should be advertised separately to avoid confusion.
2024 will therefore most certainly be a period rich in innovation, certainly driven by AI, in various industries. Technology is now accessible to as many people as possible. Being ready to use AI every day is not just about integrating it into operations, but aligning it with business strategy and goals. Starting your AI journey is achievable even with a very small investment, especially by first identifying areas where AI can bring rapid benefits. Such an approach helps mitigate implementation risks and demonstrate the value of AI to different stakeholders. Today, it is indeed entirely possible to adopt this progressive approach, focused on return on investmentfor the adoption of AI.
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