WisdomAI Research: Enterprise AI Adoption Outpaces Trust
WisdomAI, a leader in a new generation of AI analytics and business intelligence, released new research pointing to a new operating model for enterprise analytics, with organizations investing in new roles, skills, and approaches to managing business context in the wake of AI.
The report surveyed more than 200 VP and C-level AI, analytics, and data leaders at North American organizations with at least $1 billion in annual revenue.
Conducted online in May 2026, the research examines how enterprises are adapting their people, processes, and technology to adopt AI-powered business intelligence and analytics. Respondents represented industries including:
Healthcare
Financial services
Retail
Software
ABM Insights: Seismic Merges With Highspot to Create a New Leader in GTM Performance
AI Adoption Is Widespread, but Trust Remains a Barrier
AI has become nearly universal across enterprise analytics, but experimentation has yet to translate into widespread adoption. The research identifies trust as a major factor limiting broader use.
Key findings include:
93% of respondents are using or experimenting with AI in analytics.
81% still rely primarily on dashboards and one-off requests to deliver insights.
Only 19% are very confident in AI-generated answers.
“Enterprises have spent years building trusted dashboards and processes around their data, so they are not going to replace them with AI simply because the technology is available,” said Soham Mazumdar, CEO and co-founder of WisdomAI. “They need confidence that AI understands the business context behind the data and can consistently and accurately deliver actionable insights across the enterprise. Until organizations can harness context reliably, AI will remain an additional tool rather than the primary way people get insights.”
Read More: https://theabm.info/wisdomai-research-enterprise-ai-adoption-outpaces-trust
WisdomAI, a leader in a new generation of AI analytics and business intelligence, released new research pointing to a new operating model for enterprise analytics, with organizations investing in new roles, skills, and approaches to managing business context in the wake of AI.
The report surveyed more than 200 VP and C-level AI, analytics, and data leaders at North American organizations with at least $1 billion in annual revenue.
Conducted online in May 2026, the research examines how enterprises are adapting their people, processes, and technology to adopt AI-powered business intelligence and analytics. Respondents represented industries including:
Healthcare
Financial services
Retail
Software
ABM Insights: Seismic Merges With Highspot to Create a New Leader in GTM Performance
AI Adoption Is Widespread, but Trust Remains a Barrier
AI has become nearly universal across enterprise analytics, but experimentation has yet to translate into widespread adoption. The research identifies trust as a major factor limiting broader use.
Key findings include:
93% of respondents are using or experimenting with AI in analytics.
81% still rely primarily on dashboards and one-off requests to deliver insights.
Only 19% are very confident in AI-generated answers.
“Enterprises have spent years building trusted dashboards and processes around their data, so they are not going to replace them with AI simply because the technology is available,” said Soham Mazumdar, CEO and co-founder of WisdomAI. “They need confidence that AI understands the business context behind the data and can consistently and accurately deliver actionable insights across the enterprise. Until organizations can harness context reliably, AI will remain an additional tool rather than the primary way people get insights.”
Read More: https://theabm.info/wisdomai-research-enterprise-ai-adoption-outpaces-trust
WisdomAI Research: Enterprise AI Adoption Outpaces Trust
WisdomAI, a leader in a new generation of AI analytics and business intelligence, released new research pointing to a new operating model for enterprise analytics, with organizations investing in new roles, skills, and approaches to managing business context in the wake of AI.
The report surveyed more than 200 VP and C-level AI, analytics, and data leaders at North American organizations with at least $1 billion in annual revenue.
Conducted online in May 2026, the research examines how enterprises are adapting their people, processes, and technology to adopt AI-powered business intelligence and analytics. Respondents represented industries including:
Healthcare
Financial services
Retail
Software
ABM Insights: Seismic Merges With Highspot to Create a New Leader in GTM Performance
AI Adoption Is Widespread, but Trust Remains a Barrier
AI has become nearly universal across enterprise analytics, but experimentation has yet to translate into widespread adoption. The research identifies trust as a major factor limiting broader use.
Key findings include:
93% of respondents are using or experimenting with AI in analytics.
81% still rely primarily on dashboards and one-off requests to deliver insights.
Only 19% are very confident in AI-generated answers.
“Enterprises have spent years building trusted dashboards and processes around their data, so they are not going to replace them with AI simply because the technology is available,” said Soham Mazumdar, CEO and co-founder of WisdomAI. “They need confidence that AI understands the business context behind the data and can consistently and accurately deliver actionable insights across the enterprise. Until organizations can harness context reliably, AI will remain an additional tool rather than the primary way people get insights.”
Read More: https://theabm.info/wisdomai-research-enterprise-ai-adoption-outpaces-trust
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