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Matching events (showing 110 of 71 events)

  1. 28 Mar

    Insurance in the age of AI

    In this talk, we will discuss insurance in the age of AI.

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    Location: Tait Building [C]

    Audience: Students

  2. 21 Mar

    RETFound - A foundation model for ophthalmology

    In this talk, we'll will introduce a foundation model for retinal images that learns generalisable representations from unlabelled retinal images.

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    Location: Tait Building [C]

    Audience: Students

  3. 14 Mar

    Bringing AI to Life (Assurance)

    In this talk, we'll explore artificial intelligence (AI).

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    Location: Tait Building [C]

    Audience: Students

  4. 29 Feb

    Get set for Graphs!

    In this talk, we'll explore knowledge graphs and their uses.

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    Location: Tait Building [C]

    Audience: Students

  5. 22 Feb

    How to stop AI taking your analyst job

    In this talk, we'll explore the professional skills that analysts need to bring to the role to remain valuable in the age of AI.

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    Location: Tait Building [C]

    Audience: Students

  6. 15 Feb

    How to Improve Relevance in Search Marketing Leveraging AI-powered Ad Solutions

    This presentation seeks to illustrate the concept of search marketing, emphasizing how keyword and ad copy relevance efficiently attract traffic and enhance search campaign performance.

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    Location: Tait Building [C]

    Audience: Students

  7. 8 Feb

    Embedding data analytics in policy design

    In this session, we will explore the different ways in which Ofcom is using data analytics to shape our work, and the type of analysts that are part of our quantitative teams.

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    Location: Tait Building [C]

    Audience: Students

  8. 1 Feb

    Extracting patterns of causality from the scientific literature

    In this talk, we'll look at methods we can use to understand causality in the scientific literature to predict relationship importance and biological outcomes.

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    Location: Tait Building [C]

    Audience: Students

  9. 13 Dec

    Using Machine Learning techniques to improve how we manage public consultations responses

    During this session, we’ll take a look at using Machine Learning techniques to improve how we manage public consultations responses.

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    Location: Drysdale Building [E]

    Audience: Students

  10. 6 Dec

    Multidisciplinary Teaming to Navigate the Personalisation Paradox: Balancing Data Privacy and Analytical Insight

    Join our interactive session delivered by Acxiom’s leading experts in ethical use of data and the privacy landscape.

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    Location: Drysdale Building [E]

    Audience: Students