Google Cloud NEXT event, London 4th May 2017

I have my pass for the Google Cloud Next meet on the 4th May 2017, although as yet I have only the pass for one day, I would so like to attend on the 3rd, so here's hoping.

But back to the subject matter of Data, , I have planned out a long day of lectures, and for once I am not giving a single second on stage, this is a chance for me to sit back and learn. the presenters methods of teaching, the subject matter, and the networking possibilities.

A long time back, I wrote a blog on the old site about planning a day like this, just attending is a waste of time, to get the most of the day, I intend to prepare.

First I have listed my lectures, the days is packed with so many alternatives :,

09.15 - 10.45

Keynote

Brad Calder, Greg DeMichillie and Matt McNeil

11:30-12:15

Breakout three

Google Cloud Functions and Firebase

Speaker: TBC

12:30-13:15

Breakout one

Cloud Spanner 101: Google's mission-critical relational database

Speaker: Fausto Ibarra

13:30-14:15

Lunch

14:30-15-15

Breakout five

New Hangouts - What you need to know

Speaker: Serge Lachapelle

15:30-16:15

Breakout three

Google Cloud Storage: best practices for selecting the right storage class, reliability, performance and scalability

Speaker: Kirill Tropin

16:30-17-15

Breakout three

Using Google's Identity as a Service (IDaaS) for GCP and G Suite

Speaker: Sriram Karra

Now I need to add notes to the "Google keep" stack I have created, oh and yes, I seem to be using Keep so much more these days.

Next is getting there on time with room to spare, so for me it's a train to Marylebone, then tube out to ExCel

Then is there any one to meet there, so far its a zero, but I have posted my attendance in the usual places so lets see.

Next its my kit, I plan to take just enough to survive, so its my Mac, power, and phone, should I take the iPad, no to much weight. moleskin and some writing material, a couple of pens, pencil and marker.

Thats it, now to research on each lecture to make sure I understand whats being talked about.

I have added labels to this posting, as always, but I have added one in particular, thats the label "Data Convergence", as Architectural Technologists move forward we need to understand how data, and the abundance of it, from so many different places, will affect the way we detail, This day, I hope will lay a lot of foundation work that will help me understand this.

Architectural Technologist - Data Convergence Specialist

One of the points I raised in my professorial speech was the way the algorithms we use now, and we will use in the future, are generated and written.

Whether we like it or not, data is going to become a huge part of the Technologists day to day work. For many of us it's going to be the generation of the core base that will eventually generate so much more data, plus the use of external data, that together with the data we helped to generate, will form the backdrop to much of the oldschool work we have traditionally done like detailing, spec writing etc.

We as technologists might under stand the construction but few of us understand the way the algorithms are written and to be truthful, the answers they give yet alone the deeper use of the data we genrerate. Ok the low level use at the contract stage is our first stab in the way some of this data can be used, but take it just a little further, and, we hand over to computer programmers who, are not so well versed in construction, or construct methods, to read the data we help generate and mix an match to external sensor data, and make conclusions based on what they can understand from us.

Current use of CAD data, in the form of BIM does not come close to the future I see just around the corner

Unfortunately it's not a two way exchange, we rarely get to see the methods, and if we do, can we understand it.

It's clear to me that a new branch of Architectural technology needs to be invented, that of the 'Data Convergence' specialist, who can live on both sides of the equation, construction trained as well as computer programmer.

So over the comming moths, I plan to investigate these algorithym a little exploring how they can be generated by us, starting with parhaps a mind map, then the flow chart, I use Lucidchart to do this, so should be fun.

The video below is a little long at a touch over 30 mins, but its well worth the time to get the basics and a little more. I must admit to watching it twice, once to get the feel, and once to make notes, stop and review.

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