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Do you remember the rise of the Internet 90. Years or mobile revolution 2000. Years? During these earlier waves of digital innovations, data was developing with a source. The website was relatively small-to 1998, here we are compared to more than 1.5 billion, and most of the data was based on the text, which meant that companies were strongly relied on structured data from internal databases. Even with the first iPhone phones in 2007, the device had limited connection and data available for business were fragmented and less sophisticated.
Fast move forward to today and find ourselves at a new key moment in digital transformation – shoes are now drowning in data. The IDC estimates that 90% of business data is unstructured, making it a sea of information scattered across outdated systems, various cloud platforms and global data centers. Without the right tools for its use and structuring, this gkloful of data becomes as problematic as a shortage.
In order to stay in today’s dynamic business landscape, businesses need an effective way to understand their data, use them for applications and main sovereignty. These comprehensive visibility requirements, agile infrastructure and paradigm shift in which data are monitored as an intelligent platform for success.
Let’s take a closer look at how this technology seizes ENA projects and maintain data sovereignty.
The key is how you make a sense of your digital growth
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Centralized data management and data visibility operates as united for organizations to extract the knowledge of their data, keeping their systems in operation on top performance. Senior Executive responsible for the workload of the critical mission stated that full real estate observability increases the ability to integrate AI into these workloads and increases the formation of values by more than 20%. Consider Spotify that analyzes data from 456 million active users and deliver personalized composition lists in real time. Centralized visibility allows you to monitor the behavior and preferences of users when they happen and turn the data chaos into curatorial experience.
This visibility and direct supervision of your data supports sovereignty. Imagine, for example, 10 different currencies inside the wallet, each of which is valid only in your own country. Without a way to exchange this money, it is not very valuable because each account can only be used in your country. Centralized management and observability in this example are similar to the exchange system. They create a common dayomate between currencies (ie data from different locations), so the money can be spent (ie the full value of the data is realized). This is particularly critical to AI workload that requires a huge amount of data from different sources.
Postgres makes it easier for trouble -free integration across the location and cloud, allowing a unified data management layer. Thanks to the built -in expansion providing real -time knowledge, businesses can continuously optimize workload AI. This depends on this because Gartner states that the weak data quality costs an average of $ 12.9 million per year, often due to ruminary systems and insufficient visibility.
Enabling sovereign and secure data at any time, Anywherere
At the moment, consumers have the visibility of the data that are sovereign for them: their balances in bank accounts, mortgages, recent purchases, streaming habits and more. This data is accessible anytime and anywhere and are also safe. Ideally, the same principle would also apply to the company’s data. However, this visibility (and therefore any potential valuable knowledge) is often not possible for the data to be locked in various clouds, geographies and loans on the spot.
Postgres deals with this challenge with features such as role -based access, encrypted connection and built -in audit, ensuring that data remains safe and suitable across. Replication and data synchronization capabilities allow cross -border data availability, allowing companies such as Airbnb to navigate data regulations across multiple countries while still providing trouble -free user experience.
In fact, creating a value in real time
According to real-time data, the ability to act in real time is not just Beficial-it is needed in today’s rapidly developing world. Accenture states that companies that can use real -time data are 2.5 times more likely to overcome competitors. Consider Uber, which dynamically regulates its prices based on real -time factors, such as demand, operation and weather conditions. This almost instant ability leads to business success by aligning offers with developing customer needs.
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Companies are a lot to obtain by providing the front line employed by the ability to make derived decisions in real time. However, they need almost individual understanding of customer data. This means that data must flow smoothly across domains so that real -time models can provide timely information to help workers in deciding on the impact.
Postgres promotes such complex transactions and almost real -time analytics, making it an ideal choice for businesses that need to deliver immediate value. Its extensibility allows businesses to integrate AI models directly into the database, allowing personalized scale experience.
AI as the ability of a basic data platform
The success of the AI initiative depends on the ability of approach, governance and a scale process. Therefore, the success of the AI enterprise initiative depends on its ability to access its data anywhere, anytime – while maintaining compliance. These new requirements require management framework that operates across the surrounding surroundings in private and public clouds-Flexibility and compliance with regulations at every step. Companies such as Netflix, which process billions of daily data events, rely on sophisticated data architecture to support the recommendations of controlled A.
McKinSey notes that companies controlled and achieve profit margins that are 5 to 10 percentage points higher than industry peers, underlining the importance of the robust AI-Refic data platform.
Path forward: Data Sovereignty meets AI
The most successful companies in the world – Amazon, Meta, Netflix, Tesla – Nunderstands these data and interconnected. In order to maintain the pace, businesses must move from data monitoring as a by -product to record it as a cornerstone of their AI strategy. The Sovereign AI platform and data platform can unlock and modernize this potential while managing business growth infrastructure. Postgres is not just a tool in this transformation; It is a catalyst that causes data to work for you.
About the author: Jozef de Vries Is the main product engineering director at EDB. Vries leads the development of the product
For EDB across portfolio and cloud portfoli. Before joining EDB he spent almost 15 years in IBM in a number of roles. Last time he built and led the organization for the development of IBM databases through organic growth, mergers and acquisitions.
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(Tagstotranslate) Centralized data