Blog
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AI Validation & Risk Assessment
- March 12, 2020
AI industry analysts state that AI projects and their real-world success metric is less than 8%. This is a staggeringly low number given the billions of investment and big bets being made. Unlike other traditional software implementations, AI has always been vague and it has been accepted that machines are correct in making their decisions. […]
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Containerized, Model Agnostic Explainable AI
- 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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Explainable AI (XAI) – Auditing & Measuring AI Investments
- November 1, 2019
With the plethora of AI Clouds, engines and platforms available to the enterprise everyone has an opinion on which is best to strategically lock into. AutoML still appears to still be the flavour of the day, however Chatterbox Labs see a different dimension to AI. Explainable AI by 2023 will be pivotal to any enterprise […]
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Tech Blog: Deploying Explainable AI APIs with existing AI assets & platforms
- 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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Explainable AI Product APIs
- September 16, 2019
Chatterbox Labs has been working towards solving XAI for numerous years. Many companies are claiming to be making breakthroughs in the area of XAI, however, our view is that unless you’ve excellent academic credentials, world class research scientists & world class product engineers, teams resort to infusing a single academic algorithm into a product offering […]
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The path to successful Enterprise AI is littered with hurdles
- 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
- 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
- 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
- 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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No Data, Small Data or Poor Data; Enterprises need Synthetic Data
- January 31, 2019
As Artificial Intelligence and Machine Learning have been gaining a strong foothold across the Enterprise in recent years, corporations have realized there is a new problem in town: the data. Machine Learning system need good data, at scale in order to learn hidden patterns during their training phases. In real-world business scenarios there are often […]
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