Enterprise XAI: Ensuring success within an Enterprise environment

Stuart Battersby

March 31, 2020

Explainability within Enterprise AI is critical, whether this is to comply with regulation such as the GDPR, for auditing your AI systems, for feeding back to customers, for getting buy-in from internal teams and boardrooms or actioning on the decisions made by the AI. This message is becoming very apparent, but how does this high-level […]

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Containerized, Model Agnostic Explainable AI

Stuart Battersby

January 27, 2020

Chatterbox Labs’ Explainable AI software works with any AI model in any AI system, which our enterprise customers use for: Validating continual AI model business relevance Auditing, tracing & explaining any AI model (text, image and mixed data) Exploiting & reinforcing existing AI assets Complying with global government AI regulation initiatives Conforming to a unified […]

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Tech Blog: Deploying Explainable AI APIs with existing AI assets & platforms

Stuart Battersby

September 27, 2019

Chatterbox Labs' patented Explainable AI (XAI) product can explain any AI model. This is critical because it means that, rather than replacing all of your years of AI investments with a new explainable model (that may not achieve the performance that the existing system can), our XAI works hand in glove with your existing system […]

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The path to successful Enterprise AI is littered with hurdles

Stuart Battersby

March 27, 2019

Building intelligent AI solutions from the ground up is hard. There are some excellent, and deeply complex, tools out there which could, in the right circumstances be used to build excellent solutions. These tools rely on many building blocks but there are two that are critical: Good quality data to fuel them. Typically, this means […]

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Alleviate AI risks with AutoML

Stuart Battersby

March 21, 2019

Creating Artificial Intelligence and Machine Learning solutions is a different ball game to typical software development. Not only do you have all the usual project risks, but you have an additional complexity with AI and ML which stems from the fact that each dataset you address is different to the last.Algorithm selection is a critical […]

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EU GDPR & US Credit Legislation mean Explainable AI is essential

Stuart Battersby

March 13, 2019

Business both large and small were rocked last year when the General Data Protection Regulation came into force. This major update to the rules that govern how personal data, and the decisions made on that data, can be used were felt not just by corporations based in the European Union, but across the globe. Corporations […]

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Chatterbox Labs Awarded New Artificial Intelligence Patent

Stuart Battersby

February 5, 2019

Chatterbox Labs are pleased to announce that we have successfully been awarded another patent by the United States Patent and Trademark Office in the area of Artificial Intelligence. Inline with our strong Research & Development strategy the patent 'Customizable Method of Data Filtering', focuses in the area of hierarchical classification. Developed by our team of […]

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Stop Overlooking Unstructured Data

Stuart Battersby

May 15, 2018

Only a very small portion of Enterprise data is structured; most of it is noisy, unstructured text and is often distributed across the organisation. These rich datasets come in wildly different forms for different organisations, they may be patient notes or insurance claims in healthcare, multi-lingual supply chain data in retail & manufacturing, very short […]

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The time for privacy conscious Enterprise Machine Learning is now

Stuart Battersby

April 12, 2018

There is a contradiction going on in the Enterprise Artificial Intelligence marketplace today. On the one hand people and corporations are becoming much more aware of their private data. Nobody can miss the high profile and public misuses of data that currently dominate media headlines. Be it social network data, retail client data or commercially […]

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Empower Subject Matter Experts, not Data Scientists, to deliver outcomes in days

Stuart Battersby

September 26, 2017

The world of machine learning & artificial intelligence is awash with software and tools. They offer a plethora of algorithms and all the constituent components of various neural networks that can be tied together. Many are open source and freely available, but for our partners they miss a critical point: they are aimed at experienced […]

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