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The public sector has long been the guardian of an exceptionally large volume of data and
information.
In recent years, the digital transformation wave has drastically multiplied the amount of data these agencies need to store, manage, and utilise.
Furthermore, as the expectation for transparency and efficiency continues to rise, the complexity of managing information across multiple silos deepens.
Enter Generative AI – the technology promising to revolutionise how information is sorted, processed, and utilised.
The introduction of auto-classification, protection of sensitive information and conten curation are just a few examples of how AI is revolutionising information governance practices. This AI-driven technology allows public sector organisations to regain control of their vast information holdings across disparate application silos and repositories.
Practical Applications of Generative AI in the Public Sector
Auto Classification
One of the most significant advantages Generative AI brings to the public sector is auto-
classification. Manually categorising information can be cumbersome, inconsistent and prone to errors.
Generative AI can automatically sort, and label data based on its content, relevance, and context, making data retrieval straightforward and time-efficient. This means critical information can be accessed promptly when needed, enhancing decision-making processes and operational efficiencies.
At its core, auto-classification leverages artificial intelligence to categorise and manage content without manual intervention or the need to train ML algorithms with large data sets.
This sophisticated process can be broadly divided into three key categories: Business Classification, Security Classification, and Records Classification.
- Business Classification streamlines organisational workflows by automatically identifying document types. For example, it can distinguish whether a document is a contract or an invoice or identify which department it belongs to, thereby optimising data retrieval and usage.
- Security Classification focuses on safeguarding sensitive information that is critical to operations and poses security risks if exposed. Generative AI excels in identifying complex and sensitive information patterns, such as criminal records or religious beliefs, going beyond mere pattern discovery to ensure robust data protection.
- Records Classification is essential for determining how long information should be retained or when it should be disposed of, based on predetermined criteria and regulations. This classification aids in compliance management and ensures that records are kept or discarded in an orderly and lawful manner.
Auto-classification is a game-changer, especially when tasked with handling the massive amounts of data endemic in the public sector. Historical data shows that it takes a human an average of 4-5 minutes to process, classify, and categorise a single email.
Generative AI, on the other hand, can slash this time to mere seconds while also ensuring a level of consistency that is virtually impossible for manual classification to achieve.
The implications here are immense. Think of the countless hours of labour that can be
repurposed, the elimination of costly errors, and the acceleration of critical processes that used to be stifled under a backlog of unprocessed data.
Content Summarisation
Another pivotal application of Generative AI is content summarisation. Public sector organisations often deal with vast amounts of text data in the form of reports, submissions, and communications, which require considerable time to read and understand. Generative AI can condense lengthy documents into concise summaries, highlighting key points and essential information, enabling stakeholders to quickly grasp the content and make informed decisions in a fraction of the time.
One of the most theoretically critical but practically complex tasks in information management is extracting value from data through understanding and summarisation.
Objective 3Sixty summarisation capability understands the crux of documents and data points, distilling information into clear, concise forms.
This not only aids in the internal understanding of information but improves the user experience of systems that can be trained to present this abbreviated information. Through this enhancement of accessibility and actionability, essential decision-making can occur much faster.
Starting Your Generative AI Journey in Information Management
The first step in harnessing the power of Generative AI for Information Management is to address the challenge of connecting disparate information silos. Implementing a data fabric architecture is crucial for unifying and integrating data across multiple sources, breaking down barriers, and enabling seamless data exchange and interoperability across various environments.
A robust data fabric is an essential preliminary step for any institution looking to optimise its Information Management processes through Generative AI.
Leveraging a data fabric enables organisations to create a unified view of their information, simplifying access, management, and analysis across multiple sources. This infrastructure supports Generative AI technologies by providing the comprehensive data needed for valuable insights, predictions, and summaries.
Conclusion: A Bright Horizon Beckons
The future is exceptionally bright for organisations ready to leverage Generative AI in Information Management. This new horizon is lit not just by technological advancements but also by choosing the right partners.
With experienced allies, organisations can revolutionise their Information Management, breaking down silos and creating a comprehensive, interconnected data ecosystem.
Objective is at the forefront of this movement, committed to equipping clients with solutions tailored to their unique needs. By combining our expertise in information governance with innovative AI technologies, we aim to position organisations ahead of the curve in a constantly changing digital environment.
Explore the endless potential of Generative AI with us and see how it can redefine the future of information management in your sector, especially in the public domain, propelling you to lead in the digital age.
