10% of Organizations Surveyed Launched GenAI Solutions to Production in 2023
December 05 2023 - 10:00AM
Business Wire
Annual cnvrg.io survey reveals majority of
organizations are still in the research and testing phase for
generative AI
cnvrg.io, an Intel company and provider of artificial
intelligence (AI) and large language model (LLM) platforms, today
released the results of its 2023 ML Insider survey. While every
industry appears to be racing toward AI, the annual survey revealed
that despite interest, a majority of organizations are not yet
leveraging generative AI (GenAI) technology.
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According to the annual ML Insider survey
from cnvrg.io, an Intel company, 10% of respondents said they had
already launched generative AI solutions to production. (Credit:
Intel Corporation)
Released for the third year, cnvrg.io's ML Insider survey
provides an analysis of the machine learning industry, highlighting
key trends, points of interest and challenges that AI professionals
experience every day. This year’s report offers insights from a
global panel of 430 technology professionals on how they are
developing AI solutions and their approaches to applying generative
AI to their businesses.
“While still in early development, generative AI has been one of
the most talked-about technologies of 2023. The survey suggests
organizations may be hesitant to adopt GenAI due to the barriers
they face when implementing LLMs,” said Markus Flierl, corporate
vice president and general manager of Intel Cloud Services. “With
greater access to cost-effective infrastructure and services, such
as those provided by cnvrg.io and the Intel Developer Cloud, we
expect greater adoption in the next year as it will be easier to
fine-tune, customize and deploy existing LLMs without requiring AI
talent to manage the complexity.”
GenAI Adoption Trends
Despite the rise in awareness of GenAI technology in 2023, it is
only a slice of the overall AI landscape. The survey reveals that
adoption of large language models (the models for training
generative AI applications and solutions) within organizations
remains low.
Three-quarters of respondents report their organizations have
yet to deploy GenAI models to production, while 10% of respondents
report their organizations have launched GenAI solutions to
production in the past year. The survey also shows that U.S.-based
respondents (40%) are significantly more likely than those outside
the U.S. (22%) to deploy GenAI models.
While adoption may not have taken off, organizations that have
deployed GenAI models in the past year are experiencing benefits.
About half of respondents say they have improved customer
experiences (58%), improved efficiency (53%), enhanced product
capabilities (52%) and benefited from cost savings (47%).
Adoption Challenges
The study indicates a majority of organizations approach GenAI
by building their own LLM solutions and customizing to their use
cases, yet nearly half of respondents (46%) see infrastructure as
the greatest barrier to developing LLMs into products.
The survey highlights other challenges that might be causing a
slow adoption of LLM technology in businesses, such as lack of
knowledge, cost and compliance. Of the respondents, 84% admit that
their skills need to improve due to increasing interest in LLM
adoption, while only 19% say they have a strong understanding of
the mechanisms of how LLMs generate responses.
This reveals a knowledge gap as one potential barrier to GenAI
adoption that is reflected in organizations citing complexity and
lack of AI talent as the biggest barriers to AI adoption and
acceptance. Additionally, respondents rank compliance and privacy
(28%), reliability (23%), high cost of implementation (19%) and a
lack of technical skills (17%) as the greatest concerns with
implementing LLMs into their businesses. When considering the
biggest challenge to bringing LLMs into production, nearly half of
respondents point to infrastructure.
There is no doubt GenAI is having an impact on the industry.
Compared with 2022, the use of chatbots/virtual agents has spiked
26% and translation/text generation is up 12% in 2023 as popular AI
use cases. This could be due to the rise in LLM technology in 2023
and the advances in GenAI technology. Organizations that have
successfully deployed GenAI in the past year see benefits from the
application of LLMs, such as a better customer experience (27%),
improved efficiency (25%), enhanced product capabilities (25%) and
cost savings (22%).
Intel’s hardware and software portfolio, including cnvrg.io,
gives customers flexibility and choice when architecting an optimal
AI solution based on respective performance, efficiency and cost
targets. cnvrg.io helps organizations enhance their products with
GenAI and LLMs by making it more cost-effective and easier to
deploy large language models on Intel's purpose-built hardware.
Intel is the only company with the full spectrum of hardware and
software platforms, offering open and modular solutions for
competitive total cost of ownership and time-to-value that
organizations need to win in this era of exponential growth and AI
everywhere.
For the full ML Insider 2023 report visit the cnvrg.io
website.
About cnvrg.io
cnvrg.io, an Intel company, is a full-stack machine learning
operating system with everything an AI developer needs to build and
deploy AI on any infrastructure. cnvrg.io was built by data
scientists to help data scientists and developers automate training
and deployment of machine learning pipelines at scale and help
organizations enhance their products with GenAI and LLMs by making
it more cost-effective and easier to deploy large language models
on Intel's purposebuilt hardware provided by Intel Developer Cloud.
cnvrg.io helps organizations accelerate value from data science and
leverage the power of generative AI technology faster.
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating
world-changing technology that enables global progress and enriches
lives. Inspired by Moore’s Law, we continuously work to advance the
design and manufacturing of semiconductors to help address our
customers’ greatest challenges. By embedding intelligence in the
cloud, network, edge and every kind of computing device, we unleash
the potential of data to transform business and society for the
better. To learn more about Intel’s innovations, go to
newsroom.intel.com and intel.com.
© Intel Corporation. Intel, the Intel logo and other Intel marks
are trademarks of Intel Corporation or its subsidiaries. Other
names and brands may be claimed as the property of others.
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Julia Jarvis 1-469-766-7397 julia.jarvis@ketchum.com
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