Practical ML In Cybersecurity

As production use of AI/ML techniques evolve from 'Proofs of Concept' into core product capabilities, this talk covers the development, integration, and operationalisation of ML augmentation in a Dynamic Application Security Testing context; the opportunities, the early wins, the challenges, and the impacts.

No specific security knowledge necessary, but a little bit of ML workflow awareness is beneficial.

A Stranger in a Strange Land: Data Science Onboarding In Practice

With Data Science being the current hotness, it's appearing in job specs and linkedin posts more than ever. However, for an organisation attempting to invest in Data Science capabilities, how do you introduce, accomodate, and indeed, welcome these new skills into your production data workflows, and what tools can be leveraged in data exploration to understand the inevitable data cruft, technical debt, and documentation atrophy that comes from any large production service over time?

In this talk we'll walk through some of the practices I've arrived at as someone who joined an organisation with no previous Data Science capability, and what tools I recommend to new hires (and intrigued colleagues) to understand complex production datastructures.

Data Art: Creative collisions and getting out of your comfort zone

The technology community is known for being strongly inward looking; we focus on techniques, products, languages, frameworks, and best practices.

However, some of the best outcomes and experiences come from pushing and stretching our boundaries outside of the safety of our wee community.

In this talk, I'll be discussing some of the creative collisions I've come across; from using VR technologies to enable creative expression for disabled musicians, empowering artists to use electronics to connect their art to the wider world, and using science data to drive policy and political engagement.

Lies, Damned Lies and Data Science

Data Science is all about taking data from the observed or experienced world to generate actionable insights to support and direct decision makers, but there are plenty of ways data can 'lie'. Even with the best of intentions, processes, and controls, professional Data Scientists need to be on the look out for several 'tricks' that data can pull on us.

Tell me about your Programmer - Robopsychologist and other careers that don't exist (yet)

In Issac Asimov’s stories, the technical, social and personal impacts of advanced robotics and artificial intelligence are explored. One creation in his books was the career of “Robopsychologist”, a combination of mathematician, programmer, and psychologist, that diagnosed and treated misbehaving AI. In this talk we’ll discuss how on earth you can prepare for careers in Robopsychology and other careers that don’t exist (yet).

Targeted at a younger audience; discussing career paths and how to prepare for a future that isn't know.