Turn Your Boldest Ideas Into Reality
Metal Toad Brings Generative AI Out of the Lab Into Your Business
CHALLENGES
From hardware to APIs, the AWS Generative AI stack meets customers where they are in their AI journey.
But putting these pieces together to integrate into your business is more than just plug-and-play.
Businesses struggle in two key areas when launching Gen AI and machine learning projects. First is sourcing high quality data for accurate model training.
Second, especially for small and midsize businesses, is overcoming the shortage of skilled personnel with expertise in data science and data engineering.
The METAL TOAD Solution
Metal Toad is a certified AWS partner for Generative AI and Machine Learning, which means our team of experts can help you move faster to test and implement these new technologies using AWS best practices and Well-Architected Frameworks.
The Metal Toad Generative AI Proof of Concept (POC) is a preliminary demonstration or prototype of an Artificial Intelligence Model. It was created to validate its feasibility and potential value before full-scale development.
It showcases the proposed feature or integration's core functionalities and features, allowing stakeholders to assess its viability, performance, and user experience.
The typical Metal Toad Generative AI POC is a scaled-down version focusing on critical aspects. It tests the concept's technical feasibility and alignment with business objectives.
The insights gained from the Metal Toad POC help customers make informed decisions about whether to proceed with the full development of the feature or integration.
By partnering with Metal Toad, you will receive an information Artificial Intelligence proof of concept, which will offer valuable insights and several benefits:
Cost-Efficiency
By focusing on a small-scale trial, businesses can control costs while still gaining insights into the potential benefits of Artificial Intelligence applications.
Quick Validation
POCs provide a rapid way to validate the effectiveness of Artificial Intelligence algorithms in addressing specific business challenges, accelerating the decision-making process.
Customization
Businesses can tailor Artificial Intelligence models during the POC phase to meet specific requirements and ensure alignment with organizational goals.
METAL TOAD ENGAGEMENT
Our process aligns business goals with technical validation through a proven process:
- Metal Toad will provide a high level overview of the AWS Well-Architected Gen AI Lifecycle and why this is a key consideration in your AI journey.
- Next we will collaborate with your stakeholders to gain a comprehensive understanding of your business pain points and assess your current position in the AI journey. We will focus on the pain points that AI and ML can solve for your business. We will prioritize 1 or 2 of these business needs to further evaluate.
- Metal Toad will then dive into a series of questions that will help clearly define the objectives, constraints, and requirements of the aligned business need.
- Finally, we will dive into your data as data is the foundation and key to any successful Machine Learning and Generative AI project.
BUSINESS PROBLEM
AlertCalifornia, a state-wide alert system, faced a critical challenge in effectively detecting and monitoring wildfire smoke plumes through camera images. The existing AI system's initial attempt to identify smoke plumes from single images proved insufficient, as it struggled to meet the desired performance standards. The limitation was particularly evident in scenarios where understanding the movement and position of smoke plumes over time was crucial for accurate detection.
TECHNOLOGY SOLUTION
To address this challenge, AlertCalifornia opted for a sophisticated solution that leveraged advanced machine learning techniques. SageMaker, a fully managed service for building, training, and deploying machine learning models, played a crucial role in the training phase. The SageMaker service facilitated the seamless integration of the developed LSTM model into the production environment, offering a scalable and efficient platform for training and deploying machine learning models.
IMPACT
The implementation of the LSTM model has shown promising results during testing and validation phases. The model's ability to analyze sequences of smoke bounding box data has significantly improved the accuracy of wildfire smoke detection. AlertCalifornia is now eager to deploy this enhanced model into the production environment for further testing and validation under real-world conditions.
BUSINESS PROBLEM
The sales team at ABC was feeling a lot like substitute teachers, bogged down with cumbersome old tech and processes at crucial moments.
TECHNOLOGY SOLUTION
A clear solution emerged: a single app that the sales team could use with any mobile device or computer
IMPACT
The new system revamped the entire sales process, making it faster, easier, and more efficient.
BUSINESS PROBLEM
Whenever a big sweepstake was launched, avid fans would descend on the website and often overtax its servers.
TECHNOLOGY SOLUTION
Moving the site’s servers to the cloud provided the elasticity Wheel of Fortune needed.
IMPACT
When the team launches new sweepstakes, preventative scaling is used to double, triple, or even quadruple their capacity to match expected traffic.
BUSINESS PROBLEM
DC Entertainment site is routinely crawled by third parties looking for security vulnerabilities or new leaks ahead of announcements.
TECHNOLOGY SOLUTION
ML Log evaluation. We started by setting up a data pipeline that replicated the manual process Metal Toad had been doing for years
IMPACT
Quickly identified new threats. The ML Log Monitoring solution quickly found two groups of IPs for evaluation.
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BUSINESS PROBLEM
Fox needed a transformation to streamline operations, maximize efficiency, and optimize coordination.
TECHNOLOGY SOLUTION
The new platform will replace legacy systems with a solution that unifies viewer experience and aligns operations across the enterprise.
IMPACT
Fox now has in hand the detailed plan they need to make Fox Mississippi a reality.
BUSINESS PROBLEM
When approaching Metal Toad for a potential partnership, they made it clear that their current website was falling short.
TECHNOLOGY SOLUTION
Metal Toad improved usability, access to interactive modules, and site-wide responsiveness while optimizing Orchestra content for online search.
IMPACT
Visitor experience enjoyed vastly improved overall site usability, including ordering tickets, access to events calendar, quick-and-easy donations, and social sharing.
BUSINESS PROBLEM
Search results were stale, poorly ranked, and simply not delivering the content that users demanded.
TECHNOLOGY SOLUTION
Metal Toad proposed a custom search solution that was scalable, reliable, and free from licensing costs or vendor lock-in.
IMPACT
A 40% increase in relevant hit rates, drastically reduced search page load times, and overall improved visitor satisfaction were reported within the first week of launch.
SITUATION
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
SITUATION
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
SITUATION
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
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