In a nutshell, Bedrock is the tool Amazon has created to give developers the ability to create their own generative AI applications on the AWS platform.
To do this, Bedrock leverages a range of Foundational Models from leading AI companies that are pre-trained on vast amounts of data. These include models from Amazon itself, as well as from AI21 Labs, Anthropic, Cohere, Stability AI, and now even Meta’s Llama 2 next-generation large language model.
Since no single ML model is optimised for every use case, Bedrock works as one interface - giving users access to this variety of models to discover what works best for their specific needs. This doesn’t just apply to the choice of FM used either, users also have the ability to choose the best-fit iteration of the model too. For instance, you might decide on the most recent, highest-performance version of the model - or keep costs down with a smaller version or previous version that’s a perfect fit for your unique needs and budget.
Owing to the way it brings all these foundational models together, Bedrock is an exceptionally useful tool for businesses undertaking digital transformation projects. Not only is finding and accessing the right FMs straightforward, but integration is seamless and cost-effective, and businesses can use base FMs to develop use-case-specific applications with their data.
Put simply, Bedrock will almost certainly reduce the time, money and resources needed to realise your digital transformation project - and possibly even unlock possibilities you haven’t previously been aware of. Furthermore, at Cloud Combinator, we boast numerous use cases where Bedrock prototypes have been developed, including the pretraining and fine-tuning of models, all within a few hours, underscoring the remarkable speed achievable with this platform..
What Are Some Typical Use Cases of Bedrock?
Use cases for AI/ML tools are as varied as the processes of the companies creating them and the unique data they hold. That said, there are some key use cases put forward by Bedrock, including:
Text Generation
A unique-to-your-company text generation tool can allow for the efficient creation of original content across various formats. This includes the development of online materials such as blog posts, marketing communications, engaging social media posts, and effective web page copy - but also extends to physical media, such as user guides, packaging copy, instruction manuals, safety information, policy documents, risk-assessments, and much more.
Choosing and customising the right model(s) through Bedrock allows you to maintain a consistent and compelling narrative in both your online and offline presence - essential factors for effective branding and communication.
Chat Bots
The range of foundational models within Bedrock facilitates the quick and effective creation of conversational interfaces and virtual assistants. These tools can be transformative when it comes to enhancing user experience - providing interactive customer support and efficient query handling.
Not only will these next-generation chat bots likely reduce business costs, they can also be developed to ensure a more responsive and consistent level of communication without losing the personal feel that comes from traditional human ‘chat’ interaction.
Search
Within certain large language models, there’s the capability to carry out very accurate searching of data and text, even within imaged documents.
Developing an in-house AI tool through Bedrock to carry out this kind of searching and collating of data allows for sorting and analysis that would previously have been cost and resource-prohibitive. Developing this kind of tool can facilitate an incredible level of insight that can then be used to develop processes, inform costs, identify customer opportunities, and much more.
Text Summarisation
Virtually every business has to consume information - whether that’s for ongoing R&D purposes, briefing of stakeholders, decision-making, media monitoring, document review, or a host of other equally resource-intensive reasons.
By creating a Bedrock-driven tool to carry out this kind of consistently accurate and trustworthy text summarisation, a business becomes less reliant on manual processes and - considering the highly condensed timescales involved - significantly more agile in the marketplace.
Image Generation
Bedrock’s integration with the most advanced image generation models creates a range of possibilities for virtually all business types. For businesses with a focus on design or production, realistic images generated from product specifications or design outlines can bring concepts to life far quicker than previously manual processes.
For less design-focused companies, image generation still has a significant place in marketing materials, significantly increasing the speed at which visuals, branding, and even photography can be realised.
Personalisation
An AI/ML system developed using Bedrock will almost certainly increase the effectiveness of product recommendations for end-users. By surpassing basic word matching with genuinely person-focused context awareness, customer experience is improved, leading to increased conversion rates for e-commerce and retail businesses.
Of course, this doesn’t just apply to physical products. Content feeds and advertising can be driven far more effectively by AI/ML systems too - not least because constant scrutinising of developing data will lead to an ongoing refining of personalisation - significantly increasing desired conversions.
Industry Areas Benefiting from Bedrock-Developed AI/ML Tools
To say the span of industries in which we’ve supported the implementation of AI/ML tools is broad is an understatement. Some examples include:
- Fintech
- Insuretech
- Medtech
- GenAI
- Energy and Environment
- Sports Technology
- Martech and Social Media
- Smart Technology and IoT
- Law Enforcement
- Retail and Merchandising
- Food and Beverage
- Accessibility and Navigation
- Digital Transformation
- Legal Tech and Professional Services
Whether or not your industry is on this list, our AI and ML consultants have a deep understanding of businesses across the board, often being able to use expert knowledge of machine learning to identify applications where AI and ML would offer improvements.
Developing an AI/ML Application on Bedrock: Timescales and Costs
While some digital transformation partners will work on a case-by-case basis, our extensive experience supporting companies in developing AI/ML tools based on Bedrock means we can be more specific with timescales and costs.
Using our proven Cloud Accelerator Programme, we have a process that spans 6 distinct steps with just a 3-day time investment from your company:
- Discovery Call - Exploring Ideas (1 Hour): A preliminary session to understand your business's AI/ML needs and possibilities, regardless of your current stage in AI/ML implementation.
- Consultancy - Developing Ideas (1 Hour): We provide 3-4 tailored AI/ML project ideas based on the discovery call, discussing their fit with your business and agreeing on a target operating model.
- Best Practices - Safeguarding Your Digital Transformation (2 Hours): A focus on security, recovery, and cost optimisation, aligning your existing infrastructure with AI/ML best practices and effective resource management strategies.
- Immersion - Aligning Technology and Knowledge (4 Hours): A half-day immersive training program for your team, blending theoretical knowledge with practical application to ensure proficiency in AI/ML technologies.
- POC Delivery - Bringing Ideas to Life (1 Day): Development and delivery of a tangible, working AI/ML project model in your AWS environment, aligned with your digital transformation goals and ready for future scaling.
- Well Architectured Framework Review Process (1 Day): Finalizing the project with a comprehensive review using AWS's Well Architectured Framework, ensuring your team's readiness to manage and evolve the AI/ML project independently.
From beginning to end, this process can take as little as 2 weeks. What’s more, the process is entirely cost-neutral for businesses whose digital transformation project will require a $750 monthly spend on the Amazon Web Services (AWS) platform moving forward.
Where Would a Bedrock Application Fit in Your Business?
Virtually every company has a different level of in-house generative AI knowledge. For some, in-house tech teams will already be exploring where generative AI will fit into existing or new processes, for others, a lower level of generative AI knowledge might leave you wondering if machine learning has a place at all.
The beauty of Bedrock is the level of customisation that can be achieved, thanks largely to the wide range of ever-developing foundational models on the platform. This customisation also makes it highly likely that there’s a process - or even just part of a process - within your company that could be streamlined or made more effective with the use of generative AI tools.
Whether you’ve got a digital transformation team eager to harness Bedrock, or you’re someone less tech-focused who’s wondering whether AI/ML could bring something to your company, we’d encourage you to get in touch. We’re passionate about making AI and ML work for businesses - we’d love to share our vision of what’s possible for your company.
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