Top predictions about Big Data for 2024
Posted: Mon Dec 23, 2024 4:32 am
Big Data is a boon for companies, but in recent years it has posed a number of challenges. Companies have begun to worry about key aspects for its use, such as storage, management, governance and the use we give to the data.
1.- Data orchestration will overcome data silos
Organizations will begin to move away from data storage and backup to data orchestration. This practice would avoid the problems of redundancy, resource consumption, and difficulty in managing updated versions of data that the current model entails.
Data orchestration seeks to integrate information more french business fax list efficiently and automatically into a single system, avoiding the need for additional copies and simplifying data access and management.
2.-Data First strategies, a priority
In 2024, data-centric strategies will become a priority for many companies worldwide. This year marks a paradigm shift in how organizations approach data management . With the increasing complexity and volume of data that companies are faced with, adopting a data-driven architecture becomes a necessity to simplify data management strategies.
This involves not only considering where and how data is stored, but also how it is accessed and how it is used to make the best business decisions.
3.- Data quality, key to taking advantage of generative AI
Maintaining data quality will be essential to getting the most out of generative AI. Failing to take this into account will undermine the decisions made and prevent companies from taking advantage of the most successful applications and use cases of generative AI.
Data accuracy and integrity are critical to training AI models that produce accurate and relevant results. Without quality data, models can produce incorrect or biased results, limiting their usefulness and effectiveness in business decision-making. Therefore, ensuring data quality is a critical step to unlock the full potential of generative AI and fully realize its benefits.
1.- Data orchestration will overcome data silos
Organizations will begin to move away from data storage and backup to data orchestration. This practice would avoid the problems of redundancy, resource consumption, and difficulty in managing updated versions of data that the current model entails.
Data orchestration seeks to integrate information more french business fax list efficiently and automatically into a single system, avoiding the need for additional copies and simplifying data access and management.
2.-Data First strategies, a priority
In 2024, data-centric strategies will become a priority for many companies worldwide. This year marks a paradigm shift in how organizations approach data management . With the increasing complexity and volume of data that companies are faced with, adopting a data-driven architecture becomes a necessity to simplify data management strategies.
This involves not only considering where and how data is stored, but also how it is accessed and how it is used to make the best business decisions.
3.- Data quality, key to taking advantage of generative AI
Maintaining data quality will be essential to getting the most out of generative AI. Failing to take this into account will undermine the decisions made and prevent companies from taking advantage of the most successful applications and use cases of generative AI.
Data accuracy and integrity are critical to training AI models that produce accurate and relevant results. Without quality data, models can produce incorrect or biased results, limiting their usefulness and effectiveness in business decision-making. Therefore, ensuring data quality is a critical step to unlock the full potential of generative AI and fully realize its benefits.