LONDON, July 24,
2024 /PRNewswire/ -- With enterprises
increasingly adopting AI, their metrics for measuring success for
generative and predictive (non-generative) AI differ according to
use cases tracked in Omdia's latest AI Business Performance
Metrics Database. Compared to traditional predictive AI
adoption, enterprises deploying generative AI (GenAI) are more
focused on enhancing productivity, ROI, and customer engagement, as
revealed by the database of AI deployment case studies.
Since late 2022, GenAI solutions have entered the market. As
enough time has elapsed since their adoption, vendors are
increasingly releasing GenAI "customer success" studies featuring
measured results (metrics or KPIs) for market promotion. In the
latest update of the AI Business Performance Metrics
Database, Omdia focused on compiling GenAI case studies which
now constitute 9% of the 700 records. Of the 67 new case studies,
52 focus on GenAI. This offers an initial insight into how
enterprises are evaluating success of their generative and
predictive (non-generative) AI deployments.
Comparing generative versus predictive AI within each metric,
productivity stands out as the most relatively favored metric for
generative deployments, accounting for 17%, nearly double the 9%
share of predictive case studies. Top productivity applications
include automated code development and virtual assistants. ROI is
also more valued in GenAI studies (9% vs 6% of cases), particularly
for writing assistants. Engagement is another relatively favored
metric, cited in 22% of generative cases, compared to 17% of
predictive cases, with key use cases including virtual assistants
and digital experience marketing.
Predictive AI remains commonly favored for metrics like revenue
improvement, accuracy, and cost reduction.
"Recent case studies confirm that enterprises are indeed
adopting GenAI and keeping a sharp eye on measuring how the
technology is affecting their business outcomes," said Neil Dunay, Omdia Principal Forecaster. "With
significant investments being made in the technology, vendors and
enterprises are eager to prove to customers and investors that
GenAI is delivering on promised results. That may mean cases
studies of GenAI failures could go unreported."
Originally published in 2021 and updated twice a year, Omdia's
AI Business Performance Metrics Database monitors case
studies from AI vendors and end users to document KPIs for
measuring AI business impact. This resource addresses questions
about which metrics are most valued by AI customers, how these
metrics differ across industries and applications, and the methods
used for quantifying them. The database exclusively tracks case
studies from completed projects that provide specific numerical
metrics of the outcomes.
About Omdia
Omdia, part of Informa Tech, is a technology research and
advisory group. Our deep knowledge of tech markets combined with
our actionable insights empower organizations to make smart growth
decisions.
Fasiha Khan
Fasiha.khan@omdia.com
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SOURCE Omdia