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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.

AWS AI Services

Amazon SageMaker

Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows

Amazon Bedrock 

The easiest way to build and scale generative AI applications with foundation models

Amazon CodeGuru

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

Forecast business outcomes easily and accurately using machine learning

Fraud Detector

Detect online fraud faster with machine learning

Kendra

Private AI search for Enterprises 

Lex

Quickly build AI conversational interfaces with automatic speech recognition 

Personalise

Use ML to create private and customized personalization recommendations via API

Polly

Deploy high-quality, natural-sounding human voices in dozens of languages

Rekognition

Automate and lower the cost of your image recognition and video analysis with machine learning

Amazon Textract

Automatically extract printed text, handwriting, layout elements, and data from any document

Amazon Transcribe

Automatically convert speech to text

Amazon Q

Your generative AI–powered assistant designed for work that can be tailored to your business

AWS Deep Racer

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;

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