How Can AI Improve the Productivity of Data?

Data has become the foundation for how businesses are run. It provides businesses with a competitive advantage and allows a brand to connect with consumers on a level that was not possible before. Business success is now determined by the level to which a company can leverage data and implement new strategies based on that data. The emergence of a new 5G network in 2020 is going to create an even bigger demand for managing data. So, businesses will need to make the most out of data to be successful.

The AI productivity of data hinges on developing systems that can automatically process data and transform it into a digestible format. Make no mistake. Data is now one of the most important strategic resources for businesses moving forward.

We’re already seeing a lot of data being stored today – so much that it’s overwhelming businesses and placing a lot of stress on their processes. Internet traffic has accumulated zettabytes of data, and it continues to grow.

Right now, most companies use third-party applications to sort this data into reports and other viewable formats for making decisions. But most of this is still done manually through other applications. But the sheer volume of data is starting to make this impossible, so businesses will need to turn to artificial intelligence and machine learning to solve this growing problem. What makes this new technology so powerful is that it can organize and sort out huge amounts of data.

Some unique data challenges include:

•     Manage dark data
•     Data analytics for integration
•     Data retention
•     Access to essential data

Businesses are struggling to handle the varying types of data being brought into their systems. Since these systems are unstructured, data is just being stored anywhere there is room. This becomes a problem when it’s time to access it.

As a result, businesses are looking for ways to manage all of their data. Artificial intelligence is the answer. It will improve the productivity of data by ensuring that it’s being filtered to the right locations and accessible by the right people. In short, AI productivity of data hinges on the fact that it can automatically transform unstructured data into a user-friendly format.

AI Sorts Through Dark Data

All businesses have huge amounts of data that continue to build up over time. This data is normally scattered across multiple departments. Sometimes the right people don’t even know that this valuable data exists. This is known as dark data. 

Machine learning can sort through all of this data using algorithms so that it’s available to the right people. Once a team member has access to it, they can then tweak the system based on the results. AI can completely fix the problems that result from dark data.

AI Decides Which Data to Throw Away

Certain information is useless to businesses, but the problem with current systems is that they will store all information equally. Without machine learning, there is no way for the system to identify what is considered non-essential data. AI systems will go through a database and archive records that have not been used in a set amount of years. Since those records are likely obsolete, then they are just clogging up your system.

Organization of Data Storage

Research Optimus professionals have noticed a trend with the way businesses are storing data, and developed systems that use AI technology to automatically manage the way data is stored. These systems are known as “smart storage systems.” Traditional systems save data wherever there is room, and then departments within a company have to sort through irrelevant information to find what they need. AI ensures that data is stored and shared with only departments that need it.

AI Improves Data Management

•     AI Protects Data: Data-centric businesses have gained a huge competitive advantage, but it does not come without some risk. They are collecting so much data that they have to focus on ways to protect it. AI systems can manage the execution of data so that only individuals who need it are given access, reducing the chances of information getting into the wrong hands.

•     Automating Conventional Data Processes: AI is a powerful tool in automating routine data management tasks. Most data can be filtered based on its origin so AI can establish specific rules for automation and then process this data accordingly.

•     Legacy Data Can be Accessed by AI: There is a lot of older data that might still be stored on older systems that hold a lot of value. Sometimes this data is not even in digital format. AI provides tools like image recognition to convert images of these documents into a format that is readable by machines.

•     Seek Out Issues with Data Quality: Data quality is an essential part of the business, so AI systems are designed in a way that they can check data for quality. These conclusions are drawn based on overall analytics and system data that has already been verified. AI technology can even be programmed in a way that allows it to automatically make corrections.

•     Develops New Data Rules: The needs of a business change over time, so they must be able to identify what types of data need to be stored, and what types can be discarded. AI can automatically look through data usage to find patterns and create new data rules based on the individual needs of the business.

AI Will Continue to Grow as Data Does

We’re living in a digital age so it can be surmised that the need for data is going to continue to grow, especially with the emergence of 5G networks in 2020. Mobile data will be shared at an all-time high. Fortunately, artificial intelligence will also expand to meet the demands of businesses moving forward. Brands that want to stay ahead of the game will need to bring in AI professionals who are at the top of their game.