Enterprise IT Builds AI Infrastructure on a Budget, Komprise Survey Finds
August 06 2024 - 8:00AM
Komprise, the leader in analytics-driven unstructured data
management and mobility, announces the results of the Komprise 2024
State of Unstructured Data Management survey. The fourth annual
survey finds that most (70%) of enterprises are still experimenting
with AI and “preparing for AI” remained a top data storage and data
management priority for IT leaders. Yet leaders said that cost
optimization is an even higher priority this year and they are
trying to fit AI into existing IT budgets. Only 30% say they will
increase their IT budgets to support AI projects.
Other highlights from the survey include a priority on building
out the proper infrastructure and technology stack for AI by
upgrading data storage and data management technologies and
creating AI-ready infrastructure. Addressing security and
governance gaps across unstructured data management, GenAI and the
IT workforce and moving data without disruption are other top
trends of 2024.
As the startup community and established technology vendors
alike rush to launch new products and capabilities for AI,
enterprise IT is still laying the infrastructure foundation and
determining the necessary economics to get started.
The survey, conducted by a third party, gathered inputs from 300
global enterprise storage IT and business decision makers at
companies with more than 1,000 employees in the United States.
Download it here.
Highlights of the Survey:
- Nearly 50% of enterprises are storing more than 5PB of
unstructured data and nearly 30% have more than 10PB.
- The top priorities for data storage in the next year include
cost optimization (54%), preparing for AI (51%) and investing in
data management and data mobility (41%).
- As in 2023, moving data without disruption to users/apps is the
top technical unstructured data management challenge (54%),
followed by using AI to classify and segment data (48%).
- Prepping for AI is the top business challenge for unstructured
data management (57%).
- Only 13% restrict what corporate data can be used in AI, while
31% have no restrictions for users, apps or data in AI.
- Nearly half (44%) are creating AI-ready infrastructure and 32%
are building their own learning models.
- Only 30% are increasing the IT budget to support AI
projects.
- The leading challenge in prepping data for AI is managing
governance/security concerns (45%), followed by data
classification and tagging (41%).
- The leading tactic to address AI data concerns is to upgrade
data storage/data management technologies (53%).
- AI data governance/security is the top future capability (47%)
for unstructured data management, up from 28% in 2023.
- Nearly 60% need more staff with skills related to security,
compliance and sensitive data.
“Our latest survey reveals a pivotal moment in enterprise IT as
organizations grapple with the transformative potential of AI while
balancing fiscal responsibility,” says Kumar Goswami, CEO and
co-founder of Komprise. “IT leaders will also need to factor in
critical data governance and security capabilities. Managing
unstructured data strategically to optimize costs and use data
workflows to enrich metadata is a great place to start an AI
initiative.”
Download the full report here.
About KompriseKomprise is a provider of
unstructured data management and mobility software that frees
enterprises to easily analyze, mobilize, and monetize the right
file and object data across clouds without shackling data to any
vendor. With Komprise Intelligent Data Management, you can cut 70%
of enterprise storage, backup and cloud costs while making data
easily available to cloud-based data lakes, analytics and AI tools.
www.komprise.com.
Media Contact:Kevin Wolf, TGPRkevin@tgprllc.com