Pathway to Secure AI on AWS
Private Cloud AI Deployments
Securely leverage your business data using powerful cloud AI tools like AWS Bedrock and AWS SageMaker within your own secure AWS environment.
Project Phases
1 - Setup secure AWS environment (Org, Accounts, IAM etc) for AI deployment.
2 - Create & configure AWS Data storage services for client data (eg. S3, RDS, Redshift)
3 - Migrate client data into secure AWS storage service
4 - Setup suitable AWS AI platform (eg. SageMaker/Bedrock) and create secure connection with client data.
5 - Ongoing AWS AI Service & Infrastructure monitoring/remediation & support
Includes free setup of a private GenAI ChatBot to allow you to interrogate and analyse your own business data within a conversational framework.
Example Use Case: Developers looking to integrate AI tools into their SaaS or Website functionality using their own data in a secure, private cloud environment.
AWS AI Services
Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
The easiest way to build and scale generative AI applications with foundation models
Detect, track, and fix code security vulnerabilities anywhere in the development cycle using ML and automated reasoning
Comprehend
Derive and understand valuable insights from text within documents
Forecast business outcomes easily and accurately using machine learning
Detect online fraud faster with machine learning
Private AI search for Enterprises
Quickly build AI conversational interfaces with automatic speech recognition
Use ML to create private and customized personalization recommendations via API
Deploy high-quality, natural-sounding human voices in dozens of languages
Automate and lower the cost of your image recognition and video analysis with machine learning
Automatically extract printed text, handwriting, layout elements, and data from any document
Automatically convert speech to text
Your generative AI–powered assistant designed for work that can be tailored to your business
Developers of all skill levels can get hands on with machine learning through a cloud-based 3D racing simulator
Once your AWS infrastructure is operational you will be able to choose to deploy the most suitable AI tools for your requirements including;