Technology & SoftwareGenerative AIPublic Cloud

Attensi Uses the Power of AI to Reduce the Time It Takes to Develop Content by up to 95%

Attensi· NorwayAmazon Bedrock · Amazon SageMaker · Amazon Elastic Kubernetes Service (EKS) +1

Norwegian gamified-training software company Attensi enhanced its Creator authoring tool and simulation training platform with generative AI built on AWS services including Amazon Bedrock, Amazon SageMaker, and Amazon EKS, plus AWS Partner Hugging Face. The AI features generate dialogue, tasks and minigames, translate text, and convert text to speech, cutting content-creation time by 90-95% with Creator's AI copilots. Attensi's aggregate customer data shows game-based training drives a 19% productivity increase, 5x faster time to competence, 85% knowledge-gap closure, 2.5x revenue growth, and 75% attrition reduction.

Overview

Norwegian gamified-training software company Attensi enhanced its Creator authoring tool and simulation training platform with generative AI built on AWS services including Amazon Bedrock, Amazon SageMaker, and Amazon EKS, plus AWS Partner Hugging Face. The AI features generate dialogue, tasks and minigames, translate text, and convert text to speech, cutting content-creation time by 90-95% with Creator's AI copilots. Attensi's aggregate customer data shows game-based training drives a 19% productivity increase, 5x faster time to competence, 85% knowledge-gap closure, 2.5x revenue growth, and 75% attrition reduction.

This entry has 16 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

the company wanted to enhance its flagship solution, Creator, a no-code-required authoring tool for creating training content. “AI had a breakthrough in 2023,” says Aas. “We knew immediately that it would redefine how we work and how our customers train and develop.”

The solution

Attensi's first-party AI solutions are crafted using multiple services from AWS and Hugging Face, an AWS Partner, including Amazon Bedrock (a fully managed service offering high-performing foundation models) and Amazon SageMaker (tools for machine learning). Attensi built an orchestration layer on top of Amazon Elastic Kubernetes Service (Amazon EKS) to run Kubernetes in the AWS Cloud, letting it incorporate new AI-powered features quickly. These AI-powered features generate suggestions that kick-start the creative process and populate dialogues, tasks, and minigames, so corporations can develop training content, draft dialogue, translate text, and convert text to speech with no coding or technical expertise required.

Generative AIConversational AI

Reported business value

Attensi's aggregate data demonstrates that game-based training solutions have real and measurable impact, such as a 19 percent productivity increase, five times faster time to competence, 85 percent knowledge-gap closure, 2.5 times revenue growth, and 75 percent attrition reduction. Moreover, using Creator with AI copilots, companies can accelerate content creation by 90–95 percent.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other technology & software entries in the register.

All entries
Technology & SoftwareRecommendation & PersonalizationPublic Cloud

HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore

HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.

96/100HighPrimary source
HPDelta Lake · Unity Catalog
Technology & SoftwarePredictive AnalyticsPublic Cloud

Building a safer and more sustainable world

Novade, a construction management software company, partnered with Databricks to modernize its analytics and ML infrastructure, moving from a homegrown Apache Airflow stack to the Databricks Data + AI Platform with Delta Lake, Unity Catalog and MLflow. The move reduced total cost of ownership by 60% and supported a 100% increase in new clients, while enabling ML models for predicting incident risk affecting worker safety and project delivery schedules.

96/100HighPrimary source
NovadeDatabricks Data + AI Platform · Delta Lake · Databricks SQL +6
Technology & SoftwareMachine LearningPublic Cloud

SafeGraph optimizes geospatial data processing with Databricks and Delta Sharing

SafeGraph used the Databricks Data + AI Platform, Delta Lake, Delta Sharing and MLflow to process petabytes of geospatial data and feed predictive models, achieving 2x-10x faster spatial querying, indexing and partitioning and a 50% reduction in peak memory consumption compared to other platforms, while reducing data access time for partners from months to minutes via Delta Sharing.

96/100HighPrimary source
SafeGraphDatabricks Data + AI Platform · Delta Lake · Delta Sharing +4
Technology & SoftwarePredictive AnalyticsUnknown

Transforming Weather Forecasting with Lakeflow Jobs

AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.

92/100HighPrimary source
AccuWeatherLakeflow Jobs · Delta Sharing · Datadog

Was this helpful?

Your feedback helps us improve our use case database