AWS AI, Machine Learning & Generative AI
Predict What Happens Next
Machine learning solutions that turn AWS data into predictive intelligence.
The challenge
Where organisations get stuck
Your organisation has valuable data but relies heavily on historical reporting rather than predictive insight.
- Reactive decisions
- Missed opportunities
- Poor forecasting
- Increased risk
- Inefficient planning
How Analytics Hive helps
AWS Machine Learning & Predictive AI
What the engagement includes
- Forecasting
- Risk prediction
- Customer analytics
- Anomaly detection
- Recommendations
- Classification
- Predictive maintenance
- Decision support
AWS services we build on
- Amazon SageMaker
- S3
- Glue
- Athena
- Redshift
- Lambda
Expected outcome
From historical reporting to predictive business intelligence.
What we deliver
Tangible outputs, not slideware
Typical artefacts from a ai & machine learning engagement, tailored to the scope we agree with you.
- AI opportunity assessment and prioritised use-case roadmap
- AI and data readiness review
- Generative AI solution architecture with guardrails
- Retrieval-augmented knowledge assistants
- Predictive model development and evaluation
- MLOps pipelines, monitoring and retraining strategy
- Responsible AI governance framework
Our approach
How the work runs
- 01
Assess
Understand your business objectives, current environment, risks and opportunities.
- 02
Architect
Design the right AWS target architecture and transformation roadmap.
- 03
Build
Implement the cloud, data, AI and security capabilities required.
- 04
Secure
Embed security, governance, resilience and compliance into the environment.
Business outcomes
What the business gains
- 01
Better forecasting
- 02
Earlier risk detection
- 03
More proactive planning
AWS context
Built on AWS-native capability
AI & Machine Learning work at Analytics Hive is delivered on AWS and aligned to the AWS Well-Architected Framework.
- Amazon Bedrock and foundation model selection
- Amazon SageMaker AI for training and deployment
- Amazon Kendra and Amazon OpenSearch for retrieval
- AWS Step Functions and Lambda for AI workflows
- Amazon Textract, Comprehend and Transcribe
- SageMaker Pipelines, Model Registry and Model Monitor
- Amazon S3 data lakes as the AI data foundation
Built around enterprise priorities
Security-first
Protect workloads, identities and data with controls designed in from the start.
Scalable
Architect AWS environments that grow with demand instead of constraining it.
Resilient
Design for availability, continuity and tested recovery, not best-effort uptime.
Cost-conscious
Optimise infrastructure spend without compromising performance or resilience.
Next step
Build My Predictive AI
Related services
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Discover how cloud, AI, and data can revolutionize your business
Tell us about your goals and we will come back to you with a practical next step, whether that is a discovery workshop, an architecture review, or a detailed proposal.
ROI-driven solutions