Strava
Workout performance analysis
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
- >80% of users find AI insights helpful
Generic models missed brand tone, forcing manual edits. A RAG workflow injecting style guides cut editing effort 30% and boosted quality.
An enterprise platform translates billions of words into more than 450 languages and locales annually for global businesses.
Foundational large language models produced fluent text but lacked the specific tone, terminology, and cultural context required for enterprise...
“Our biggest challenge was striking the right balance between accuracy and fluency. We needed translations that were faithful to our customers’ brand voice while keeping costs manageable.”
AI-powered translation management platform and localization services.
Cloud computing platform and on-demand infrastructure services.
Smartling's Language translation is part of this use case:
Related implementations across industries and use cases
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Generic models missed brand tone, forcing manual edits. A RAG workflow injecting style guides cut editing effort 30% and boosted quality.
An enterprise platform translates billions of words into more than 450 languages and locales annually for global businesses.
Foundational large language models produced fluent text but lacked the specific tone, terminology, and cultural context required for enterprise...
“Our biggest challenge was striking the right balance between accuracy and fluency. We needed translations that were faithful to our customers’ brand voice while keeping costs manageable.”
AI-powered translation management platform and localization services.
Cloud computing platform and on-demand infrastructure services.
Smartling's Language translation is part of this use case:
Related implementations across industries and use cases
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.