AWS Bedrock

Generative AI Empowering Business Transformation

Aligned was selected for early access to AWS’ GenAI solution Bedrock.

The future of business is intertwined with AI and it is happening fast. AWS Bedrock is a transformative tool poised to revolutionize how businesses leverage AI. The Aligned Team is here to guide you and your organization through the possibilities.

Specialists with AWS

As an Advanced Tier Services partner, Aligned is vested and committed to Amazon Web Services (AWS).

We are working tirelessly to enhance and extend our expertise with AWS. We truly believe in the superiority of AWS over other cloud competitors, and see this play out with our Clients each and every day.

What is AWS Bedrock?

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading AI startups available through an API, so you can choose from various FMs to find the model that’s best suited for your use case.

With Bedrock’s serverless experience, integration into your existing AWS ecosystem is seamless. Plus, Amazon gives you flexibility in the foundation models to choose from, including Amazon Titan, Jurassic-2, and Stable Diffusion, you can pinpoint the perfect AI solution for your unique needs.

Understanding AWS Bedrock

We’ve curated some content to help your learning-curve.

PRESS RELEASE

AWS Expands Amazon Bedrock with Additional Foundation Models, New Model Provider, and Advanced Capability to Help Customers Build Generative AI Applications

VENTUREBEAT

Amazon grows generative AI efforts with Bedrock expansion for AWS

CRN

AWS Partner: Amazon’s Bedrock AI Strategy Bests Google, Microsoft

Key Use Cases

Get started with key use cases quickly…

Text Generation

Create new pieces of original content, such as short stories, essays, social media posts, and webpage copy.

Chatbots

Build conversational interfaces such as chatbots and virtual assistants to enhance the user experience for your customers.

Search

Search, find, and synthesize information to answer questions from a large corpus of data.

Text Summarization

Get a summary of textual content, such as articles, blog posts, books, and documents, to get the gist without having to read the full content.

Image Generation

Create realistic and artistic images of various subjects, environments, and scenes from language prompts.

Personalization

Help customers find what they’re looking for with more relevant and contextual product recommendations than word matching.

Industry Use Cases

We’ve highlighted some examples of the applying AWS Bedrock…

Financial Sector

  • Chatbots: Enhance customer service with AI-driven virtual assistants that can answer queries, process transactions, and provide financial advice.
  • Text Summarization: Quickly digest financial reports, market analyses, and lengthy documents to stay ahead of market trends.

Healthcare

  • Search: Rapidly sift through vast medical databases to find relevant research, patient histories, and treatment options.
  • Image Generation: Visualize complex medical scenarios or conditions, aiding in patient education and understanding.

Manufacturing

  • Personalization: Tailor product recommendations based on customer preferences, enhancing the shopping experience.
  • Text Generation: Automate the creation of product descriptions, user manuals, and other essential documentation.

IoT

  • Image Classification: Monitor production lines in real-time, identifying defects or inefficiencies using AI-driven image recognition.
  • Chatbots: Provide real-time support for IoT device users, troubleshooting issues or guiding setup processes.

Strategically Aligning Technology to Business

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Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.