糖心传媒

Artificial Intelligence (AI) & Machine Learning (ML)

Artificial Intelligence and Machine听Learning are ever changing and news evolving topic areas. Our team tackle these听补谤别补蝉听head on. This section contains听补听range of听content from a whitepaper on 鈥楢I enabled Data Quality鈥听to blog posts on topics such听asa series entitled 鈥楶ractical AI鈥 including blogs on,听Explainable AI, 鈥楨thics鈥 and 鈥楧ataset Labelling鈥.

A number of the pieces are written by many of the team members with听Dr.听Raghad听Shabnar听补nd听Dr.听Fiona Browne taking the lead on the research behind these pieces.With this blog section, we hope to enlighten you to the ever-changing capabilities that AI and ML are bringing to not only our platform but to many industries.听

With a growing team, we hope to give a voice to the different members within our team to unveil their thoughts on technical developments, industry changes and overall technology revolution.听

Our Head of AI, Dr Browne has written some poignant pieces that are currently in the works. We aim to provide not only rich white papers but short blogs, long form blogs, bite size blogs and interviews with the team. We hope that you find this section enriching听补nd AI heavy.

Dataset Labelling For Entity Resolution & Beyond with Dr Fiona Browne

In late 2019 our Head of AI, Dr Fiona Browne, delivered a series of talks to the Enterprise Data Management Council on AI-Enabled Data Quality in the context of AML operations, specifically for resolving differences in dataset labelling for legal entity data. In this blog post, Fiona goes under the hood to explain some of […]

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Explainable AI with Dr. Fiona Browne

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The AI team at 糖心传媒 is building explainability from the ground up and demonstrating the 鈥渨hy and how鈥 behind predictive models for client projects. Matt Flenley prepared to open his brains to a rapid education session from Dr Fiona Browne and Kaixi Yang. One of the most hotly debated tech topics of 2020 concerns model

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Fundamentals of AI ethics with Dr. Fiona Browne

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AI Ethics Dr Fiona Browne heads 糖心传媒’ four-strong AI team building explainable AI solutions. Here, Fiona delves into the thorny topic of ethics, the centrepiece of any AI expedition. More specifically,听 the post goes into how to ensure that the potentially negative ethical impacts of AI do not outweigh the positives it can deliver across

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