What will the trends be in 2024?
According to a recent report 5 data trends by Gartner , investment in information technology (IT) will exceed $1 trillion in Europe in 2023 , representing a 5.5% increase compared to 2022. Spending on data centers has increased by 3.1% to over $46 billion.
This figure highlights the continued importance of data in corporate decision-making and business expansion. To help organizations optimize their data processes and maximize their potential, PUE has identified the five key trends that will shape data in 2024.
1. GenAI
Next year, companies will continue to rapidly assimilate the latest advances in GenAI. Specifically, the focus will be on large language models (LLMs), which leverage machine learning techniques to learn complex natural language patterns based on massive amounts of data.
Although natural language processing (NLP) will continue to dominate most use cases, companies will accelerate the incorporation of LLMs such as OpenAI’s GPT and Google’s Gemini. This will lead to advances in the quality of interaction with suppliers and customers, automation of natural language processing tasks, development of prototypes and applications in this field, as well as improvements in information extraction and creative content generation.
2. Consolidation of Lakehouse as a data storage innovation
Regarding data storage, as a phone number list trend for the coming year, more and more companies will adopt data lake architectures, an innovative solution that combines the advantages of data lakes and data warehouses. Specifically, data lakes leverage the flexibility offered by data lakes, where storage is performed in a raw, unprocessed manner, with the analytical capabilities and data structuring of a data warehouse.
3. Creating data spaces to share information
Information sharing between entities in data spaces will become an increasingly common practice in business collaborations. These are virtual environments where data sets from different sources are pooled under the same rules, facilitating data sharing between companies, optimizing efficiency, transparency, and effective collaboration.
These spaces contribute is it worth having a blog in 2025? significantly to optimizing efficiency, transparency, and effective collaboration in various contexts. For example, in the retail sector, they enable personalized customer journeys, providing targeted offers and recommended products that enhance the user experience and are based on information about their interests and purchasing habits.
In the healthcare sector, sharing patient history data allows the organizations involved in their recovery to better control and monitor the process. Furthermore, data sharing between medical institutions, pharmaceutical companies, and laboratories accelerates research and the development of drugs and new treatments.
4. Design of specific data products for effective data governance
Companies will also venture into creating their own data products to optimize data governance and address their specific needs. The key to these tools is that they transcend data storage to transform it into useful information that improves processes.
Thus, data product design involves developing new platforms that facilitate the management, access, quality, and analysis of data within the organization to generate value for strategic decision-making.
For example, interactive search engine optimization united states america panels and dashboards to view data in a more visual and intuitive way, forecasting solutions with production models to anticipate market fluctuations, monitoring and alert systems to predict stock shortages, virtual assistants that integrate customer service…
5. Data federation in hybrid and multicloud environments
Regarding integration, data federation will be one of the data trends of 2024 as a response to the challenge of providing access to distributed and decentralized data without the need to physically consolidate it into a single central repository, allowing for the autonomy of its origin.
A successful solution for companies that, due to the complexity of their processes, develop them in hybrid and multi-cloud environments. In this sense, data federation allows them to maximize the use of data without having to physically move it.