Accelerating AI adoption by unifying digital and physical assets
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Organisations striving to innovate using emerging artificial intelligence (AI) capabilities must strategically manage digital and physical assets while mitigating privacy, security, and scalability risks. A unified asset strategy paves the way to new AI frontiers.
Time to consider the hidden value of your assets
What percentage of your enterprise’s assets contribute to your bottom line? What’s gathering dust, creating physical or digital clutter, and generally sliding through its useful “life” undiscovered and ungoverned could be used to explore new artificial intelligence (AI) frontiers leading to innovation. Assets are almost anything that inherently holds value: physical mail, email, and chats; paper and database records; audio and video reels; photographs; recorded media; film props; fine art and other collectibles; IT equipment; IoT devices; and whatever else might be used for AI training purposes or otherwise leveraged by evolving AI-centric use cases.
In emerging AI frontiers such as AI-driven automation, generative AI, and immersive experiences, progressive enterprises blend physical and digital realms to reshape our perception of and interaction with the world around us. Organisations venturing into these areas are discovering the value in data previously locked in analog (or physical) formats that can be used to train traditional and emerging AI models, build immersive experiences, and even protect and optimise the value of assets across their lifecycles.
Why and how information and data management strategies must evolve
Unfortunately, many enterprises are ill-prepared to leverage these types of assets due to poor visibility and control, confusion about what to keep (and for how long) and what to digitise, how to use technology to extract data and metadata from unstructured information, how to set policy to protect and manage data, and so on. They don’t know what they have, and they rarely consolidate the management of physical and digital assets. Some still use spreadsheets to track physical assets.
As we realise that every thing—every asset that is relevant, authentic, and accurate—inherently holds and is “information” that can contribute to or benefit from AI use cases, we must also realise this: We must evolve our information and data management strategies to protect, manage, and optimise assets in an increasingly complex regulatory and security environment from creation to responsible end-of-life. This is where a unified asset strategy comes into play—to help enterprises prepare for emerging AI-centric use cases that integrate and leverage digital and physical assets and protect those assets to reduce risk and maximise return.
A holistic framework for optimising and protecting assets
Unlike traditional digital and physical asset management, a unified asset strategy is a holistic, systematic framework for maximising the value of any asset.
This framework uses digital capabilities and services to discover, digitise, and extract information from analog assets and then protect, govern, connect, analyse, enrich, preserve, and responsibly dispose of or remarket digital and physical assets.
Three guiding principles of a unified asset strategy
A unified asset strategy draws on three principles that enable physical and digital asset protection and value creation.
- Protection for assets and reputation from internal and external threats. These include physical disasters, cybercrime, data privacy breaches, rising expectations about sustainable practices, and technology-driven market shifts. Protection is enabled through expertise in secure offsite storage, data minimisation principles, cloud backup and air-gapped data protection, encryption, IT asset lifecycle management, data center colocation, sustainable practices, and auditable chains of custody.
- Retention, privacy, and compliance capabilities to help organisations conform to regulations and corporate policies for physical and digital assets.
- Leveraging any asset for AI and analytics to inform decisions, automate workflows, and accelerate the adoption of new AI-centric use cases.
A unified asset strategy enables an organisation’s disparate goals, initiatives, and requirements under one empowering umbrella. This means an enterprise can scale to handle data management, curation, and access for analytics and AI applications across multi-cloud environments. It can protect assets of any type to reduce security and privacy risk and loss. It can help enterprises innovate and adapt to disruptions.
Three critical elements of a unified asset strategy in action
Here are the essential capabilities of a robust unified asset strategy:
- Organisations can discover, ingest, catalog, access, and manage assets using metadata. Digitisation services can convert paper and other physical assets to digital assets. Digital and physical assets can be stored in accordance with industry best practices for the asset type, and IT equipment critical to AI use cases can be co-located in secure, energy-efficient offsite data centers.
- Enterprises can generate value from digitised and digital native assets. AI models can process and index digital assets, extract information from and about them, and create metadata to aid in searching and connecting information. With appropriate governance policies in place, trusted data is accessed only by authorised users and put to work in data-driven use cases that support innovation and operational efficiency.
- Digital and physical assets can be securely stored and responsibly retired. Data in these assets is preserved and destroyed to comply with regulations and organisation policy. Depending on the type of asset, secure and sustainable disposal might include paper or other analog media shredding with recycling where possible or, in the case of IT equipment, sanitising the data and then selling the equipment into a reuse marketplace or recycling components.
A unified asset strategy operationalises the hidden value in physical and digital assets while safeguarding them. Through unifying management of digital and physical assets, enterprises can establish a foundation to drive innovation with AI-driven insights and actions.
For an in-depth look at the challenges and opportunities creating a sense of urgency for a unified asset strategy—through the words of enterprise leaders like you—read Boost enterprise-wide innovation with a unified asset strategy. If you’re unsure that your organisation is doing enough to identify and protect your most valuable assets, contact Iron Mountain about our Information Governance Advisory Services.
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