Global Study Finds Only 22% Effectively Using Gen AI Across All Business Functions
2024年6月27日 - 9:07PM
SoftServe, a premier IT consulting and digital services provider,
today released its findings of the latest study commissioned to
evaluate current Generative AI (Gen AI) use across global
businesses conducted by research and advisory firm Forrester
Consulting. After more than 18 months since the release of ChatGPT
and growing availability of Gen AI products, solutions, and
services, the study revealed businesses are still experiencing less
value than executives expected with only 22% of organizations
reported effectively using the technology across all business
functions.
Despite falling short of expectations, Gen AI enthusiasm grows
unabated according to the global survey of 777 technology
purchasing decision-makers involved with their organization’s use
of Gen AI. Their responses indicated organizations continue to
invest and pursue many use cases in search of ones that will
deliver the biggest impact while simultaneously struggling with
internal data readiness, governance, and skill development.
Key findings include:
- More than half of
decision-makers say their company established business goals for
using Gen AI, yet 79% or more are concerned with their
organization’s ability to execute those goals with current levels
of internal or external expertise.
- Despite 75% or more
experiencing Gen AI skill readiness challenges, organizations
continue to pile up use cases as most have implemented at least
three use cases and will expand the use of two more, including
plans to pilot at least one more use case in the next 12-18
months.
- Just 51% of leaders
are extremely confident their current strategy will allow them to
reach maximum Gen AI value from future use cases, while
concurrently, 77% are concerned with their company’s potential to
realize business value in either the short or long term.
- Only 42% of
organizations have the capabilities to train Gen AI models and a
staggering 89% face difficulties preparing business data for Gen AI
use.
- Less than one-fourth
(24%) have governance plans in place, even though 90% agree
adopting a governance plan is imperative to ensuring the
responsible use and risk mitigation of Gen AI.
“Despite a swift start to the Gen AI race, many initiatives get
stuck in the piloting stages as more organizations realize their
data infrastructure isn’t ready to adequately deploy Gen AI
technologies beyond the proof-of-concept,” said Alex Chubay,
SoftServe’s CTO. “Gaps in skills and knowledge of emerging Gen
AI technologies, technical feasibility, and data readiness hinder
companies from moving beyond tactical wins in pilot mode to
full-scale deployments enabling novel business capabilities and
experiences. To make that qualitative leap to the next level, a
holistic approach is required to orchestrate business priorities,
use cases, and data across the technology ecosystem from the
initial strategy down to the final execution.”
Gaps in Expectations vs. Reality While respondents agree
data is paramount to effective Gen AI strategies, only 3% said
their organizations’ models can leverage a full range of six or
more types of business data (operational, customer, employee,
source code, public, and partner data), which was double the
respondent average of three data types used. Moreover, a gap in
technical skills persists as 88% say deeper technical expertise is
becoming increasingly important for data integration, model
optimization, use case development, and further application
development.
Crucial External Expertise NeededDespite the
over-abundance of use cases, 80% of decision-makers claim their
employees are currently struggling with use case awareness and
general understanding of Gen AI complexity and 90% say their
organizations need a partner with more advanced technical
capabilities to see transformative value in future use
cases.According to the study, companies are looking for partners
with accelerated deployment support (89%) and a better
understanding of their industry (88%) to help with execution and
implementation.
Notable Trends in Gen AI ResultsThe study revealed
organizations reaping substantial value from Gen AI prioritized
data, governance, and skill development with help from technical
partners and experts. Of four countries surveyed, the U.S. took the
lead in unlocking Gen AI value, followed by the UK, Singapore, and
Germany, respectively.
Among industries, retail was most likely to harness Gen AI value
and train their organization’s models on owned data, while FSI
(financial services and insurance) reported more likely to
encounter challenges before yielding any Gen AI gains. FSI leaders
also reported releasing fewer governance plans than retail and
other sectors. Companies across healthcare, life sciences, oil and
gas, manufacturing, ISVs, and enterprise technology depicted an
even divide in achieving Gen AI value. Separately, larger
businesses with revenues greater than $5 billion were less likely
to show Gen AI successes due to difficulties organizing the
required capabilities needed across expansive hardware, software,
and infrastructure landscapes.
For more data and takeaways from the study, access SoftServe’s
complete study at this link.
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Kayla Cash
SoftServe
kcash@softserveinc.com