Intelligent Information Management: Future-Proofing Data

In today’s fast-paced digital landscape, data is the lifeblood that drives organisations forward. However, as data continues to exponentially grow, maintaining control becomes an increasingly daunting challenge without the right data management strategy.

Organisations can no longer rely on rigid, siloed systems to effectively manage their valuable information assets over the long term. The key to future-proofing data management lies in AI data preparation, advanced automation, and adopting intelligent, integrated approaches powered by advanced analytics and automation.

The Imperative of Future-Proofing

When it comes to enterprise data and the associated systems that manage it, “future-proofing” refers to implementing resilient solutions with the scalability, flexibility and advanced capabilities to support evolving business requirements and technologies into the future.

More than 75% of organisations say that preparing their data for AI is one of their top five investment areas in the next two to three years, according to Gartner’s CIO Guide to AI-Ready Data.

Prioritising future-proofing enables organisations to:

• Rapidly adapt to changing market conditions, regulations, and customer expectations
• Seamlessly integrate new data sources and data analytics applications for better decision making
• Be ready to leverage emerging AI technologies responsibly and effectively
• Equip users across the business with access to trusted, actionable intelligence
• Avoid technical debt from legacy platforms becoming outdated and difficult to maintain
• Maximise return on investments through long-term solutions built to evolve

Failure to invest in a robust data management strategy can hamper organisational agility, innovation and competitiveness as data landscapes inevitably shift.

Gartner predicts that through 2026, organisations that don’t enable and support AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned.

Intelligent Information Management: The Future of AI-Ready Data

A holistic data management enterprise strategy demands intelligent information management platforms with key attributes:

Scalable, Secure and Flexible Architecture

Cloud-based and flexible, these solutions can seamlessly scale storage and computing power to handle exponential data growth. Data management and analytics solutions powered by APIs, containerisation and microservices architectures also provide flexibility to incorporate new innovations rapidly.

Interoperability and Integration

With open data standards, connectivity tools and AI-assisted data mapping, intelligent information management platforms enable data integration from virtually any source – breaking down information silos. Unified data environments make information consistently accessible whenever needed.

Data Governance and Compliance

AI-powered data management can automate governance and ensure regulatory compliance at scale. In addition, AI-powered data classification across both structured and unstructured data illuminates “dark data”, enabling organisations to take advantage of untapped business intelligence and insights.

Advanced Analytics and Insights

Embedded AI, machine learning and natural language processing infuse analytics and automation across the entire information management lifecycle. This unlocks intelligent data discovery, classification, predictive analytics and data-driven decision making at scale.

These converging capabilities coalesce into a future-proofed foundation to maximise an organisation’s data while positioning it to capitalise on emerging trends like increased generative AI adoption.

Investing in the Right Technology

As the volume and complexity of data continues to grow, with opportunities emerging around AI, machine learning, real-time analytics and more, it becomes paramount for organisations to invest in the best data management software. Organisations require a unified, intelligent platform built specifically to harness the full potential of their data now and in the future.

The EncompaaS intelligent information management platform plays this vital future proofing role, enabling organisations to solve information management, compliance and privacy risk through intelligence and automation.

By combining advanced machine learning, AI capabilities like natural language processing, and data governance in an open, cloud-native architecture, EncompaaS enables organisations to find, enrich, organise and de-risk enterprise data, unlocking the full potential of AI while maintaining security, compliance and business continuity.

Having established a normalised data quality foundation, compliance and privacy obligations – including the application of retention and disposition policies – can be addressed automatically and at-scale to de-risk the enterprise. This automated approach ensures rapid identification of risk and a proactive response to an ever-evolving landscape. Furthermore, with high-quality, reliable data facilitated by intelligent data preparation software, organisations can then unlock the potential of generative AI tools, all while safeguarding the organisation and positioning it for the next wave of innovation.

The need for future-proofed data management is accelerating as the pace of change and data volumes intensify. By investing in an intelligent information management platform, organisations can flex and extend their data capital to drive innovation and stay ahead of the competition in an increasingly data-driven world.

To learn how EncompaaS can help your organisation and supercharge information safer, faster and smarter, contact us or book a demo.