Identify, understand and act on previously hidden value from your data using the latest tools within Amazon Web Services.
Use prediction and automation to aid your data teams and increase productivity by up to 10x. (aws.amazon.com)
By using improved forecasting and intelligent anomaly or pattern detection to gain a competitive business advantage.
Driving tangible business value with machine learning
Address common business needs or tailor machine learning (ML) workloads to improve customer experience, optimise operational processes and accelerate innovation on AWS.
Begin a stress-free approach to the start of your machine learning journey by leveraging managed, purpose-built machine learning (ML) and artificial intelligence (AI) services.
Machine learning can also aid in the governance and democratisation of your data. Analysing and utilising data silos, automating security policy creation and improving security with accurate fraud detection, setting you on the path to a modern data strategy.
Forecasting & Prediction
Leverage historical data to train and build models that forecast future outcomes or take advantage of relational data to accurately predict results.
Machine vision
Data collection from object tracking, detect changes over time, and facial recognition from image or video sources using machine learning models.
Natural Language Processing
Analysing natural speech or text to translate, interpret meaning or sentiment and identify key words.
Anomaly & pattern detection
Identify anomalies to detect fraud or discover patterns to discover trends and aid predictions.
Modern Data Strategy
Building a data strategy is essential for organisations to stay relevant, competitive, and innovative amidst constant change. Because data is vast, dynamic and comes in many different formats, extracting value can be a challenge. To harness data’s full potential requires an end to end modern strategy.
Data Maturity Assessment
The Data Maturity Assessment (DMA) is a 5 point assessment of specific areas contributing to a data strategy to highlight your current state, score your data maturity and highlight a clear roadmap for improvement.
Insights & Events with machine learning
Deep Learning, The Transformer And The Rise In Generative AI
Since the release of ChatGPT in November 2022, there has been an explosion of interest in Generative AI (GenAI). There have been several factors that have contributed to the proliferation and popularity of GenAI models. These include datasets that…
Khalil Adib Explores Amazon SageMaker and YOLOv5 for Object Detection and Tracking
Meet Khalil Adib, one of Firemind's Data Scientists, with a passion for artificial intelligence (AI) and machine learning (ML). Customer projects aside, Khalil has been experimenting with AWS services such as Amazon SageMaker, and API additions of…
Firemind co-host the AWS Machine Learning GameDay
Last Friday, Firemind teamed up with AWS to deliver the Machine Learning GameDay. A special milestone for us, in having received the honour in being the first AWS partner in EMEA to co-host such an event with AWS for Start-ups. Our technical team,…
Reduce the Cost and Complexity of Machine Learning Preprocessing
A week ago, Nate Bachmeier, AWS Senior Solutions Architect, and Marvin Fernandes, Solutions Architect, wrote an insightful article over on the AWS Machine learning Blog. Within it, they detailed a solution overview that enabled both reduced…
Amazon SageMaker Canvas announced at AWS re:Invent
The ability to build systems that can predict business outcomes has become very important within the last few years. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in almost all IT…