Data scientists spent hours hand-coding SQL requests. Gen AI now lets non-tech staff query complex data instantly via natural language.
A technology-enabled marketing agency managing billions of dollars in advertising spend for both industry giants and rising brands.
Data scientists spent 15-20 hours per request manually writing SQL queries and analyzing reports, creating a bottleneck for clients without technical...
“We’re focused on helping businesses make better decisions with access to their data in natural language. Snowflake’s scalability, flexibility and agnostic approach are key to that.”
Power Digital's Marketing data analysis is part of this use case:
Full-service digital marketing agency providing data-driven growth strategies.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Legacy tools choked on video history. AI now scans 15 years of footage in 48 hours to flag hate speech and brand risks.
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Two staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Data scientists spent hours hand-coding SQL requests. Gen AI now lets non-tech staff query complex data instantly via natural language.
A technology-enabled marketing agency managing billions of dollars in advertising spend for both industry giants and rising brands.
Data scientists spent 15-20 hours per request manually writing SQL queries and analyzing reports, creating a bottleneck for clients without technical...
“We’re focused on helping businesses make better decisions with access to their data in natural language. Snowflake’s scalability, flexibility and agnostic approach are key to that.”
Power Digital's Marketing data analysis is part of this use case:
Full-service digital marketing agency providing data-driven growth strategies.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Legacy tools choked on video history. AI now scans 15 years of footage in 48 hours to flag hate speech and brand risks.
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Two staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.