Data & Machine Learning

Leveraging data and machine learning for a competitive edge.

WHAT IS IT?

Starting at the supply chain through to sales and customer service, businesses are generating more data than ever . But the only way to make sense of this massive data volume towards better decision-making, enhanced customer experiences, and increased efficiencies is with a comprehensive data strategy and incorporating AWS Machine Learning solutions.

Unfortunately, businesses often don't have the in-house resources such as data scientists and ML engineers to effectively harness the potential of these solutions.

HOW CAN METAL TOAD HELP?

Small and medium sized businesses have a trusted builder of data and ML applications with Metal Toad, an AWS partner certified in analytics, data engineering, and machine learning.

Whether you're evaluating data lake solutions, enhancing current data infrastructure and workflows, or deploying tailored AI and ML techniques, Metal Toad possesses comprehensive capabilities in data, analytics, and machine learning consulting to guide you through every phase of your data-centric voyage.

  • ETL
  • Data Analytics
  • Pipelines
  • API Integrations
  • Automate
PLACHOLDER

METAL TOAD MACHINE LEARNING STRATEGY SESSION

PlaceHolder

Click here to learn more

 
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. 

 
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.
WE DELIVER THE BEST

Case Studies

We are proud to be trusted by some of the most well-known brands in the world. Learn more about how we've set our clients to success.

Related Topics

Machine Learning

What is Machine Learning?

Discover the basics of machine learning through a practical analogy, covering data gathering, cleaning, hypothesis formation, training, and...