Presentations and speaking at conferences

Me presenting at Continuous Lifecycle London 2018

One of the things I’ve been doing more this year is speaking more at conferences and meetups. I always take the time to speak to the audience afterwards to see if there were aspects they didn’t get or enjoy, so I can hone the presentation for the next time1. Even when under embargo of product details, there’s usually lots of things that you can talk about that the wider community will find interesting and I have been encouraging people to break their presentation fear by talking at meetups.

Following on from my “Being a Panellist” post, I’ve been asked a lot how I go about writing a presentation and what I do to prepare, so I’ve gathered my thoughts here. This isn’t the only way, but it is what works for me! Continue reading Presentations and speaking at conferences

AI Congress London 2018 Day 2

AI Congress (still making me think of  @jack_septic_eye – let me know if you get that…)

If you’ve not read the day 1 summary then you can find that here.

Day 2 had a new host for track A in the form of David D’Souza from CIPD. His opening remarks quoted Asimov and Crichton and encouraging us not be magicians and to step back and think about what we should do rather than just what we could. Continue reading AI Congress London 2018 Day 2

AI Congress London 2018 Day 1

AI Congress (not @jack_septic_eye – I feel I may be in a very small subset of AI professionals who get that…)

London is a hive of AI activity. The UK is positioning itself as a leader in AI technology and you can barely walk around London without passing an AI company or meetup or training course1. If I didn’t actually have a day job, I could fill my time with AI conferences without actually doing much more than my daily commute. That said I am quite picky about the ones I go to. I’d never been to the AI Congress before and liked the diverse set of speakers and topics.  I was lucky that the team at Logikk had invited me as their guest for the two days. So how did it stack up? Well, day 1 was at a much higher level than some of the other conferences I’ve been to, with a lot of implementation and enterprise discussions and far fewer talks on the technical implementations. If you’re senior then these conferences are for you. If you want someone to talk about their latest paper on arxiv then there are far more technical events that will suit you better.

One of the biggest problems I had was that there were three separate tracks and only one of me, so if I didn’t make notes on a particular talk then hopefully the slides will be available after the event at some point. I missed some of the high profile talks, in preference of other speakers, on purpose as I’d already heard those speakers at other events. Continue reading AI Congress London 2018 Day 1

Being a Panellist at a Tech Talk

Being a panellist – expect to be recorded

Following on from the meetup talk I gave on building your own personal brand, I’ve been asked a few questions about speaking at events and being a panellist.  I felt it would be a good idea to write a few posts on this for reference.  This one is particularly about panel sessions. Continue reading Being a Panellist at a Tech Talk

WiDS2017: Women in Data Science Reading

Yesterday I had the great pleasure in being part of the global WiDS2017 event show casing women in all aspects of data science.  The main conference was held at Stanford but over 75 locations world wide had rebroadcasts and local events, of which Reading was one.   In addition to spending a great evening with some amazing women, I was asked to speak in the career panel on my experiences and overall journey. Continue reading WiDS2017: Women in Data Science Reading

Rework DL Boston 2016 – Day 2

Me, networking at breakfast
Me, networking at breakfast

This is a summary of day 2 of ReWork Deep Learning summit 2016 that took place in Boston, May 12-13th.  If you want to read the summary of day 1 then you can read my notes here. Continue reading Rework DL Boston 2016 – Day 2

ReWork DL Boston 2016 – Day 1

brainLast year, I blogged about the rework Deep Learning conference in Boston and, being here for the second year in a row, I thought I’d do the same.  Here’s the summary of day 1.

The day started with a great intro from Jana Eggers with a positive message about nurturing this AI baby that is being created rather than the doomsday scenario that is regularly spouted.  We are a collaborative discipline of academia and industry and we can focus on how we use this for good. Continue reading ReWork DL Boston 2016 – Day 1

ReWork DL Boston 2015 – Day 2

This post is a very high level summary of Day 2 at the Boston ReWork Deep Learning Summit 2015.  Day 1 can be found here.

The first session kicked off with Kevin O’Brian from GreatHorn.  There are 3 major problems facing the infosec community at the moment:

  1. Modern infrastructure is far more complex than it used to be – we are using AWS, Azure as extensions of our physical networks and spaces such as GitHub as code repositories and Docker for automation.  It is very difficult for any IT professional to keep up with all of the potential vulnerabilities and ensure that everything is secure.
  2. (Security) Technical debt – there is too much to monitor/fix even if business released the time and funds to address it.
  3. Shortfall in skilled people – there is a 1.5 million shortage in infosec  people – this isn’t going to be resolved quickly.

Continue reading ReWork DL Boston 2015 – Day 2

ReWork DL Boston 2015 – Day 1

brain-like computing
Brain-like computing

So, day one of the ReWork Deep Learning Summit Boston 2015 is over.  A lot of interesting talks and demonstrations all round.  All talks were recorded so I will update this post as they become available with the links to wherever the recordings are posted – I know I’ll be rewatching them.

Following a brief introduction the day kicked off with a presentation from Christian Szegedy of Google looking at the deep learning they had set up to analyse YouTube videos.  They’d taken the traditional networks used in Google and made them smaller, discovering that an architecture with several layers of small networks was more computationally efficient that larger ones, with a 5 level (inception-5) most efficient.  Several papers were referenced, which I’ll need to look up later, but the results looked interesting.

Continue reading ReWork DL Boston 2015 – Day 1

New Horizons

So, most people know by now that in a week’s time I start a new role.  After 12 years of working for established business both small and large I am joining a start up in an area at the current edge of what is possible in computer science.  I’m very much looking forward to having my technical and scientific abilities stretched as far as they’ll go and, not unsurprisingly, the immersion in a new venture where the focus is on the solution and not why things can’t be done (often the case in established companies).

I have a reading list as long as the references for my own thesis to get through in the next few weeks so I can become an expert in my new field: deep learning and artificial intelligence.  One of the first things I’ll be doing is attending the ReWorkDL summit in Boston, MA, which is just a fascinating line up of some of the leading people in this space.  All being well I will be presenting at the 2016 summit.

I’ll be tweeting throughout the event with thoughts and comments and will do a summary post afterwards.