Gen AI Inspiring Greater Enterprise Adoption of Other AI Types, Says Research
10 Juni 2024 - 6:15PM
Business Wire
Study suggests enterprises embracing a fuller
set of AI tools to increase productivity and drive
transformation
The rapid rise of creative ‘right-brain’ generative AI has
opened the door to greater adoption of the more analytical
‘left-brain’ AI decisioning solutions by global businesses,
according to new research from Pegasystems Inc. (NASDAQ: PEGA), the
leading enterprise AI decisioning and workflow automation platform
provider. The study, conducted by research firm Savanta, was
unveiled at PegaWorld® iNspire, the company’s annual conference in
Las Vegas. It surveyed more than 500 business decision makers
across enterprises worldwide on their understanding and use of AI,
as well as the challenges and opportunities they see in
successfully implementing the technology.
The research found 95% of respondents felt the increased
prevalence of gen AI was directly responsible for their adoption of
other types of AI tools, with one third saying it played a major
role in their decision. It also showed generative AI has become the
predominant way of deploying artificial intelligence (AI) within
global enterprises, highlighting the extent to which it has been
embraced as both a productivity enhancer and a creative partner for
innovation.
The study explored how business decision makers are implementing
AI through the lens of the two sides of the human brain: the more
rational, analytical AI decisioning side (the ‘left-brain’), and
the more creative, generative side (the ‘right-brain’). It found
that ‘right-brain’ generative AI is the most used AI within
enterprises today, with two in five respondents (44%) saying
they use it mostly for creative or productivity-enhancing tasks
such as content creation (61%), curating large stores of
information (54%), or in conversational chatbots (51%). Conversely,
less than a third of all respondents (30%) predominantly use
rational ‘left-brain’ AI decisioning solutions, such as predictive
analytics (57%), or decision management tools (42%). Only 25% of
respondents use an equal number of both ‘left’ and ‘right’ brain AI
tools.
Other findings from the research include:
- AI spend is on the rise…but so are transformational
expectations: Ninety-two percent of respondents say it’s likely
they will increase their use of AI in the next five years, with 74%
saying they are either ‘extremely’ or ‘very’ confident AI can add
transformational business value to their organization over the next
five to 10 years. In the short-term, the vast majority (82%) also
expect to be able to directly attribute up to half of their
increased profits over the next three years to their use of AI.
However, 85% say they spend up to half of their annual IT budget on
AI solutions. With 77% admitting to at least some level of waste in
their budget spend due to a lack of a proper strategy, it’s clear
that more care is required around how and why these investments are
made.
- But…businesses overestimate their AI understanding: The
vast majority of respondents (93%) say they have a good
understanding of AI and the way it works. Despite this, 80% think
AI has been in general business use for less than five years – with
just 7% saying it has been in use for 10 years or more, despite
mainstream usage dating back to the 1980s. Meanwhile, nearly
two-thirds (65%) could not correctly identify an accurate
definition of generative AI – despite only 3% admitting they don’t
know what the technology is. These numbers could explain why nearly
two-thirds (61%) say they have had a failed AI implementation.
- AI trust and the enterprise – it’s complicated: Half of
respondents (47%) are concerned with resting the success of their
brand on AI, while 51% also admit they have concerns over AI
transparency and bias. Forty-two percent are also worried about AI
taking their jobs – while 40% are concerned about the potential
enslavement of humanity by AI-powered robots. Despite these
concerns, a majority (62%) have some level of trust in AI’s ability
to completely run a department if they felt it would improve
overall results. Meanwhile, 41% of respondents prefer to trust a
human to build customer relationships, provided they had assistance
from AI – compared to just 15% who trust a human more without AI
intervention.
- Demand for AI skills is growing: Two in ten (20%) think
their organization has weak AI skills and experience, while more
than one quarter (28%) say this presents a barrier to further AI
use within their business. However, 98% find prior AI skills and
experience valuable when considering new applicants to join their
team, suggesting a growing importance of fostering an AI-literate
workforce. Those with hands-on AI experience such as ‘prompt
engineering’ are most in demand (64%), followed by experts in AI
theory and academics on the subject (46%). Just 5% are not
proactively looking to hire anyone based on their AI skills or
experience.
Quotes & Commentary:
“Generative AI is the flag-bearer of a new wave of AI
enthusiasm, so it’s no surprise that so many businesses are using
it as a catalyst to not only explore other types of AI but also to
drive more creativity and innovation,” said Don Schuerman, chief
technology officer, Pega. “The next few years are going to see
continued growth, not only in the acceleration of artificial
intelligence in all its various forms, but also in terms of its
adoption. To make the most of this, organizations must ensure they
have the requisite skills, expertise, and understanding to make
their AI projects a success. In the coming years, we expect to see
more and more businesses not just adopting AI productivity tools,
but partnering with AI to drive innovations that produce the best
possible outcomes for themselves and their customers.”
Notes Pega surveyed more than 500 business decision
makers worldwide on their views, understanding, and plans for
implementing AI solutions, as well as the challenges and
opportunities they see in the technology. The results included
responses from North America, the United Kingdom, France,
Australia, and Germany.
Methodology
Pega crafted a set of 10 statements, dividing them evenly into
categories associated with ‘left-brain’ and ‘right-brain’ AI
technologies commonly used within enterprises. These statements
were shown to participants in a random sequence, and participants
had to choose the ones they felt best matched the AI their company
employs. A tally was made of the number of ‘left-brain’ and
‘right-brain’ statements each participant chose. Those who picked
an equal amount from both categories were categorized as
‘middle-brain’. Participants were labelled as ‘left-brain’ if they
chose more ‘left-brain’ technologies, and ‘right-brain’ if their
choices favored ‘right-brain’ technologies.
Resources Read more about how to harness the power of AI
innovation here: https://www.pega.com/ai-innovation
Unleash impossible outcomes with Pega's AI technology. Explore
now: https://www.pega.com/unleash-impossible-outcomes
About Pegasystems Pega provides a powerful platform that
empowers the world’s leading organizations to unlock
business-transforming outcomes with real-time optimization. Clients
use our enterprise AI decisioning and workflow automation to solve
their most pressing business challenges – from personalizing
engagement to automating service to streamlining operations. Since
1983, we’ve built our scalable and flexible architecture to help
enterprises meet today’s customer demands while continuously
transforming for tomorrow. For more information on how Pega
empowers its clients to Build for Change®, visit www.pega.com.
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version on businesswire.com: https://www.businesswire.com/news/home/20240610525087/en/
Press: Jon Brigden Pegasystems jon.brigden@pega.com
Twitter: @pega
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