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.
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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
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Includes free setup of a private GenAI ChatBot to allow you to interrogate and analyse your own business data within a conversational framework.
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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.
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AWS AI Services
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Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
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The easiest way to build and scale generative AI applications with foundation models
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Detect, track, and fix code security vulnerabilities anywhere in the development cycle using ML and automated reasoning
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Comprehend
Derive and understand valuable insights from text within documents
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Forecast business outcomes easily and accurately using machine learning
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Detect online fraud faster with machine learning
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Private AI search for Enterprises
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Quickly build AI conversational interfaces with automatic speech recognition
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Use ML to create private and customized personalization recommendations via API
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Deploy high-quality, natural-sounding human voices in dozens of languages
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Automate and lower the cost of your image recognition and video analysis with machine learning
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Automatically extract printed text, handwriting, layout elements, and data from any document
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Automatically convert speech to text
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Your generative AI–powered assistant designed for work that can be tailored to your business
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Developers of all skill levels can get hands on with machine learning through a cloud-based 3D racing simulator
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Once your AWS infrastructure is operational you will be able to choose to deploy the most suitable AI tools for your requirements including;