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Hammerspace 2023 Predictions: Unstructured Data as a Global Resource for Distributed Organizations and Decentralized Workflows


Industry executives and experts share their predictions for 2023.  Read them in this 15th annual series exclusive.

A Look Ahead: Unstructured Data as a Global Resource for Distributed Organizations and Decentralized Workflows

By  Molly Presley, Senior Vice President, Marketing, Hammerspace

Looking ahead to 2023, this will be the year distributed organizations can realize the value and insights of unstructured data faster and more easily. This trend will change the face of the industry and shift the conversation from how you store your data to how you can use your data to gain valuable insights, drive a new business model, or create and innovate new products and services.

Distributed organizations seek automated and secure ways to use their data from the edge, across data centers, and to the cloud, with the application or cloud service provider of their choice. Organizations will now be able to have the same unified access, management, utilization, and rationalization of unstructured data that is currently standard for structured data thanks to unified data management, which traditionally has been unavailable for unstructured data due to a lack of a unifying metadata control plane and automated data orchestration.


1.   IT supply chain challenges will compel new approaches to data management.

With supply chain disruptions caused by factors such as the COVID-19 pandemic, geopolitical events, transportation and labor disruptions, and more, organizations need new approaches to easing the impacts. In 2023, more organizations will look to move their data and workloads to where the technology is readily available. For example, if certain hardware or compute resources are hard to source, an organization can simply move its data to a different data center or a cloud with more capacity. Organizations will benefit greatly from the ability to move data and workloads to available technology rather than supplying technology to the data/workload location.

2.   To access sufficient compute resources, organizations need the ability to automate Burst to the Cloud.

IT teams can no longer depend on Moore's Law to continue accelerating compute performance at the same exponential pace it has in the past. It will no longer be possible to win the innovation battle with generic software that relies on commodity hardware to run at the required speed. As Moore's Law slows and supply chains remain backlogged, data-driven innovators will need to be able to integrate cloud compute into their workloads to keep data-driven workflows on pace.

3.   Access to software engineering talent must be possible from anywhere in the world.

Organizations must capitalize on talent located anywhere in the world. Automation tools for remote data access and decentralized data workflows will become increasingly critical. Data will need to be a globally accessible resource for the workforce.

4.   Edge will no longer be used only for data capture but also for data use.

With the Internet of Things (IoT), everything is now interconnected. Customers and the workforce are now spread across the globe, and most people will soon have access to broadband internet thanks to SpaceX Starlink and Amazon's Kuiper Project.  Edge devices will continue to evolve with increased memory and compute power, allowing their use for data processing rather than just data capturing. This data will need to be cataloged with intelligent metadata for remote users and applications to understand and use it.

5.   The use of software-defined and open-source technologies will intensify.

With the continued development and application of software-defined and open-source technologies,  the adoption of software-defined and open-source technologies will grow over proprietary technologies.

6.   Metadata will be recognized as the holy grail of data orchestration, utilization, and management.

Organizations will increasingly rely on metadata that is directly integrated into workflows and applications. Metadata usage will help bridge the various storage silos and locations to help solve today's data challenges, including distributed supply chain, cloud, edge, etc.

7.   A shift away from hardware-centric infrastructures toward data-driven architectures.

Instead of accommodating traditional hardware-driven infrastructures and the constraints they bring, organizations will organize their architecture around globally accessible data environments designed for their workflows or data needs. Data-driven architectures will create a data-layer bridge across all silos.

8.   Data Architects - the upcoming King of the IT Jungle.

2023 will see the emergence of the data architect role. Data architects, as opposed to data scientists who focus on BI and analytics, utilize metadata expertise to solve the business needs of gathering, tracking, and making data accessible - when and where it is needed. This approach is new and necessary in the world of unstructured data, which is workflow-driven, has massive unstructured data volumes, and is typically distributed across a variety of different storage media and locations.

9.   True storage performance that spans across all storage tiers.

Previously, organizations had to work with multiple data silos for high-performance and cost-effective storage tiers. Furthermore, the data management options for moving data across geographic locations or to alternate storage tiers made data access both slow and costly. New software capabilities will shatter long-held architectural paradigms as high-performance global data access becomes a reality, freeing workloads from data silos and slow data, regardless of location, and providing high-performance data anywhere in the world. These advancements will be critical for artificial intelligence, machine learning, entertainment content creation and distribution, research, new product development, and more.

Enterprises and research organizations are increasingly decentralizing their data, information technology systems, and workforces. Decentralization introduces new challenges, and organizations that adapt their strategies can benefit from global shifts. As we enter 2023, they will need to replace inefficient manual data management with cost-effective data resources serving multiple data and workforce locations. Organizations that transform their global management strategies will be able to keep pace with a changing world and gain a significant competitive advantage.



Hammerspace SVP of Marketing, Molly Presley

Molly Presley 

Molly brings over 15 years of product and growth marketing leadership experience to the Hammerspace team. She has led the marketing organization and strategy at fast-growth innovators such as Pantheon Platform, Qumulo, Quantum Corporation, DataDirect Networks (DDN), and Spectra Logic. She was also responsible for the go-to-market strategy for SaaS, hybrid cloud, and data center solutions across various data-intensive verticals and use cases. At Hammerspace, Presley leads the marketing organization and inspires data creators and users to take full advantage of a truly global data environment.

Published Tuesday, January 17, 2023 7:35 AM by David Marshall
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