BDM#46 - Building smart bots with data analytics, ML, Spark and Cassandra


When:
February 23, 2016 @ 11:00 pm – February 24, 2016 @ 2:00 am
2016-02-23T23:00:00+00:00
2016-02-24T02:00:00+00:00
Where:
OVH - 1801 McGill College 8th Floor
Montréal
QC
Canada

For full details, including the address, and to RSVP see:

BDM#46 - Building smart bots with data analytics, ML, Spark and Cassandra

Tuesday, Feb 23, 2016, 6:00 PM

OVH
1801 McGill College 8th Floor Montréal, QC

150 Big Data Montrealers Went

Big Data Montreal would like to invite you to its 46th meeting!Join us on Tuesday February 23d 2016 at 6:00PM to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!This meetup is a joint event with the Cassandra Montreal User Group and will be in English.We will be joined by Hanneli Tavante who is a develope…

Check out this Meetup →

Big Data Montreal would like to invite you to its 46th meeting!

Join us on Tuesday February 23d 2016 at 6:00PM to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

This meetup is a joint event with the Cassandra Montreal User Group and will be in English.

We will be joined by Hanneli Tavante who is a developer addicted to code, learn new programming languages.

What You’ll Learn At This Meetup:

Why bots? Bots can be used in many scenarios - auto replies on IRC, Slack, Github and so on. But bots can also be used to help you on daily tasks!

Depending on your routine, smart bots may be able to reply emails, answer questions on chat, remind you to do some activities and so on. Bots can be much more than a Devops Friend tool!

This talk is going to talk a little bit about how to identify situations that a bot could help you, possible ways to build them, the challenges and the some things that may go wrong.

Some topics:

- Bots: helping me to avoid some mechanical or repetitive tasks since 2009

- My first (dummy) bots

- First attempt to make bots smarter - the brute force way

- Collecting data to feed bots intelligence

- Cassandra and Spark - essential tools to collect several analogical events and turn them into data

- Interpreting the results - applying some mathematics on it

- Making smart bots with some machine learning basics

- Real case - put bots to manage meetups- Points to improve

- Where could you apply this idea?

- Some epic fails

- Notes on security and other issues

*Food and drinks will be served. Hope to see you there!

About Hanneli Tavante:

Hanneli (@hannelita) is a developer addicted to code, learn new programming languages, blow capacitors, do some C programming and commit useful (or not) code for random Open Source Projects that she finds at Github. She tries to help community with blog posts and organising NoSQL, programming languages and Math/Physics/Science meetups around the globe. She also likes Math, Lego, dogs, hardware and coffee.

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