Artificial Intelligence and Machine Learning for data management
Posted: Wed Jan 22, 2025 8:43 am
In today's data economy, discover how insights powered by AI and machine learning drive efficiency and innovation.
Our daily work confirms that we are moving through and co-creating at every step a data and digital-first reality, where information is the main protagonist to compete in a data economy . But data alone does not make a company data-forward ; rather, we must carry out correct data management , risk management and a clear definition of responsibilities.
In this process of growth in scale, automation and overseas chinese in australia data security, artificial intelligence (AI) plays a fundamental role and makes possible what was previously unimaginable.
The growing adoption of AI in business and its impact is no longer a novelty. However, there are still some hurdles and many have to do with Data Management.
PowerData - How to protect your data with artificial intelligence and automation?
According to a recent survey, those with AI in production and those evaluating AI say the biggest bottlenecks were a lack of trained people and missing data or data quality issues.
Source: O'Reilly
Data is the fuel that powers AI and more specifically machine learning. The ability of machines to see, understand and interact with the world is growing steadily, managing to assimilate and analyse data and finding patterns, insights and trends almost in real time. But to do so, it needs reliable, accessible and quality data. That is why we say that AI depends on data management and this last one depends on AI.
PowerData - How to protect your data with artificial intelligence and automation?
You may be interested in reading more
Data Leaders: Empowering Resilient Data-Led Businesses
Effective Data Management for AI Adoption
When we talk about Data Management, we understand that we are dealing with a formula specially designed by each company to manage the data that allows them to make better business decisions. The massive generation of information requires that we implement a CROSS modernization process : data and intelligent processes that are optimized at every step.
This modernization process can be very beneficial when it comes to marketing actions, for example, but it is also a security framework for companies to be able to operate large volumes of information, making responsible use of the complexity involved in the subject. It is about adding profitability to the company's resources and investments when it comes to having and managing the data that is continuously generated.
Our daily work confirms that we are moving through and co-creating at every step a data and digital-first reality, where information is the main protagonist to compete in a data economy . But data alone does not make a company data-forward ; rather, we must carry out correct data management , risk management and a clear definition of responsibilities.
In this process of growth in scale, automation and overseas chinese in australia data security, artificial intelligence (AI) plays a fundamental role and makes possible what was previously unimaginable.
The growing adoption of AI in business and its impact is no longer a novelty. However, there are still some hurdles and many have to do with Data Management.
PowerData - How to protect your data with artificial intelligence and automation?
According to a recent survey, those with AI in production and those evaluating AI say the biggest bottlenecks were a lack of trained people and missing data or data quality issues.
Source: O'Reilly
Data is the fuel that powers AI and more specifically machine learning. The ability of machines to see, understand and interact with the world is growing steadily, managing to assimilate and analyse data and finding patterns, insights and trends almost in real time. But to do so, it needs reliable, accessible and quality data. That is why we say that AI depends on data management and this last one depends on AI.
PowerData - How to protect your data with artificial intelligence and automation?
You may be interested in reading more
Data Leaders: Empowering Resilient Data-Led Businesses
Effective Data Management for AI Adoption
When we talk about Data Management, we understand that we are dealing with a formula specially designed by each company to manage the data that allows them to make better business decisions. The massive generation of information requires that we implement a CROSS modernization process : data and intelligent processes that are optimized at every step.
This modernization process can be very beneficial when it comes to marketing actions, for example, but it is also a security framework for companies to be able to operate large volumes of information, making responsible use of the complexity involved in the subject. It is about adding profitability to the company's resources and investments when it comes to having and managing the data that is continuously generated.