Person turning knob from manual to automatic depicting automating information management

The Current Impact of AI on Information Management

According to McKinsey Global Institute, 70% of companies will have adopted at least one type of AI technology by 2030.

Some information management employees might be alarmed by this figure. But this form of digital transformation is necessary. Artificial intelligence (AI) and machine learning (ML) technology can increase operational effectiveness. It also eliminates inefficient tasks for staff members.

If you’re starting to plan your digital transformation plans or reviewing your roadmap, should you include AI or ML initiatives? Here’s what you need to know.

How Artificial Intelligence Can Help Information Management

One of the reasons more businesses are turning to AI and ML is to help teams become more efficient. This technology can manage the large volumes of data created daily. It can also meet legal and regulatory requirements.

Studies have shown that information management employees spend an average of 19% of their workweek searching for the data they need. This issue will continue to become more important as the volume of content increases. AI and ML can assist in reducing the timeframes to retrieve the necessary information.

How to Implement AI in Information Management

Implementing AI or ML into the information management environment is not always simple. Particularly for organisations with individual data stacks, outdated storage systems, and department silos with their own technology.

Including it in a digital transformation strategy is a more effective approach. By understanding obstacles that need to get addressed, you’ll have a better chance of reaping the rewards of what artificial intelligence and machine learning has to offer.

The Value of AI for Organisations

You will need to prove the benefit of AI and ML to add them to your digital transformation roadmap. Fortunately, there’s plenty of proof available from companies who have implemented it.

Managing Increasing Levels of Data

According to Seagate UK, 175 zettabytes of data will be available by 2025. Browsing through this information could take days or weeks without help from AI or ML.

Effectively Categorising Data

If consolidating data sources from departments isn’t on your digital transformation roadmap, then artificial intelligence can assist. It can analyse the information and categorise it effectively. This way, it’s not difficult to find when it’s needed.

Faster Retrieval of Records

The steps to find records for an internal or external audit can bring the business to a halt. But AI or ML can retrieve the relevant data on the first occasion instead of filtering through the information that isn’t required.

The Importance of a Digital Transformation Strategy

There’s no doubt that AI and ML will become a necessity for organisations. It provides many efficiencies, particularly for information management teams. But, for it to be implemented successfully, it should form a part of a broader digital transformation strategy. This can ensure that any obstacles or roadblocks are managed effectively.

Want expert advice and help with digitising and accessing your important documents more efficiently and effectively? Compu-Stor is an Australian-owned family business specialising in information and records management solutions and services. From document, media and data storage to digital scanning, business process automation and consulting services, Compu-Stor provides a wide range of solutions using the latest technologies and methodologies to deliver secure and efficient services.

Through its Digital Transformation Solutions, Compu-Stor helps maximise the accessibility and flow of information within organisations. With offices across Australia, Compu-Stor works with its customers to provide cost-effective and secure solutions tailored to their needs.

Contact us today for a free initial exchange to see how we can help you: 1300 559 778

For more information, visit our website at https://www.compu-stor.com.au/.