New Study Reveals Generative AI Has Eclipsed Other AI Applications In the Enterprise Fueling a New Cohort of AI Leaders and Cloud Providers

Additionally, the new report underscored that, although AI is now more widely implemented in global organizations, obstacles remain in deploying AI successfully at scale. Data architectures were a reoccurring theme in this year's report, defining the first wave of emerging AI leaders while many enterprises still struggle to scale. GPU availability was another commonly cited challenge, and regional disparities persist, suggesting global AI demand is outpacing access to AI accelerators and GPUs needed to power AI projects. Many organizations have successfully embraced AI infrastructure-as-a-service offerings from hyperscale cloud providers and an emergent market of new AI and GPU cloud markets to overcome this supply-demand gap and fuel their generative AI initiatives.
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Additionally, the new report underscored that, although AI is now more widely implemented in global organizations, obstacles remain in deploying AI successfully at scale. Data architectures were a reoccurring theme in this year's report, defining the first wave of emerging AI leaders while many enterprises still struggle to scale. GPU availability was another commonly cited challenge, and regional disparities persist, suggesting global AI demand is outpacing access to AI accelerators and GPUs needed to power AI projects. Many organizations have successfully embraced AI infrastructure-as-a-service offerings from hyperscale cloud providers and an emergent market of new AI and GPU cloud markets to overcome this supply-demand gap and fuel their generative AI initiatives.

Key findings of the 2024 Trends In AI report include: 

AI Applications Are Increasingly Pervasive In the Enterprise

Generative AI Has Rapidly Eclipsed Other AI Applications

Many AI Projects Fail to Scale — Legacy Data Architectures Are the Culprit

GPU Availability Continues To Be Constrained, Shaping Infrastructure Decision-Making

Concerns About AI's Environmental Impact Persist But Are Not Slowing Adoption

"Like the internet, the smartphone, and cloud computing before it, AI represents a paradigm shift that will leave an indelible mark on business and society and is already defining a new generation of industry leaders and disruptors," said Liran Zvibel, cofounder and CEO at WEKA. "Unlike past technology transitions, AI's adoption and maturation are growing with unprecedented velocity. The findings of S&P Global's 2024 Trends In AI report underscore that the first wave of AI leaders is already scaling their competitive advantage by accelerating organizational and product innovation with faster time to market, positively impacting their bottom line. Those who are less AI mature are at risk of falling behind. To survive and thrive in the AI era, organizations must find trusted technology partners to help them cross the chasm and ensure they can agilely adapt to whatever the future brings."

New Study Reveals Generative AI Has Eclipsed Other AI Applications In the Enterprise Fueling a New Cohort of AI Leaders and Cloud Providers

To read the full 2024 Global Trends in AI study from S&P Global Market Intelligence, visit www.weka.io/trends-in-AI.

Research Methodology
The findings in S&P Global Market Intelligence's 2024 Global Trends in AI report draw from a survey fielded in Q2 2024 of 1,519 AI/ML decision makers/influencers in enterprises, research organizations, and AI providers building AI technologies, products, and solutions. The study prioritized respondents with AI/ML projects in pilots and production environments across the following industries: aerospace and defense, automotive, energy/oil and gas, finance, government, healthcare, higher education, IT and services, life sciences, manufacturing, media/entertainment, telecommunications, transportation and logistics, and utilities. The report also draws on contextual knowledge of additional research conducted by S&P Global.

About WEKA
WEKA is architecting a new approach to the enterprise data stack built for the AI era. The WEKA® Data Platform sets the standard for AI infrastructure with a cloud and AI-native architecture that can be deployed anywhere, providing seamless data portability across on-premises, cloud, and edge environments. It transforms legacy data silos into dynamic data pipelines that accelerate GPUs, AI model training and inference, and other performance-intensive workloads, enabling them to work more efficiently, consume less energy, and reduce associated carbon emissions. WEKA helps the world's most innovative enterprises and research organizations overcome complex data challenges to reach discoveries, insights, and outcomes faster and more sustainably – including 12 of the Fortune 50. Visit www.weka.io to learn more, or connect with WEKA on LinkedIn, X, and Facebook.

WEKA and the WEKA logo are registered trademarks of WekaIO, Inc. Other trade names used herein may be trademarks of their respective owners.

1 451 Research, part of S&P Global Market Intelligence, Discovery Report "Global Trends in AI," August 2024

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