Blog
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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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Stop Overlooking Unstructured Data
- 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
- 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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