Scotland Data Science & Technology - Glasgow

Speaker 1: Steve Mattey

https://uk.linkedin.com/in/steve-mattey-b7aa3a1

THE GOOD, THE BAD, AND THE UGLY

Data is now permeating bure types of data to be assessed and utilised commercially. The knock on from that is that there becomes a wide sinesses like never before. That proliferation means that there are more people specialising in using data within organisations, more companies selling data-related services and mospectrum in the nature, application and impact that data can have on a business. We have spent many years marketing and selling data-services and its many business applications, and this presentation is a whistle stop tour through our views on the best and worst parts we have seen, and thoughts on improvement and consistency across the industry.

Steve's Summary

A highly motivated leader and industry-recognised expert in data commercialisation, who has successfully launched and exited two companies in the data and digital space, acted as turnaround CEO for a listed group, bought and sold companies and led a significant business merger and transformational change programme. Invaluable experience in developing business, marketing and data strategies for blue-chip companies over many years to help them adapt to the digital and data economy and drive commercial value. Excellent motivational, leadership and analytical skills - a real problem solver.

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Speaker 2 - Steven Faull -

Applications Development Manager at Aggreko

https://uk.linkedin.com/in/stevenfaull

Big Data, IoT and Disruption

A look at the challenges and opportunities that implementing Big Data and IoT solutions into traditional organisations bring.

An intraprenurial senior leader who has built a global team of exceptionally talented, highly motivated, developers and architects with a common goal of providing solutions that leverage the latest technologies to deliver maximum business benefit. Pragmatic and delivery focused with a track record of consistently delivering innovative solutions that harness emerging technologies including Enterprise Social Networking, Geo-Spatial Data Visualisation, Big Data, IoT and Machine Learning

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Speaker 3 - Ariel M'ndange-Pfupfu, Data Scientist, The Data Incubator (https://www.linkedin.com/company/8941222?trk=prof-exp-company-name)

https://www.linkedin.com/in/aritem

Ariel M’ndange-Pfupfu is one of The Data Incubator (https://www.thedataincubator.com/)’s Data Scientists in Residence at their DC office. He is a Ph.D engineer turned data scientist new to DC after almost ten years living in Chicago.

He’s particularly interested in using data to explore human behavior and decision making, and outside work he enjoys social dance, amateur sailing, and both video and board games. He is Databricks Spark Certified and leads most of the the The Data Incubator’s corporate trainings.

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Speaker 4 - Steven Coates - Steven Coates (CEO & Founder) - Brainnwave

https://uk.linkedin.com/in/stevecoates1

Do you want to be part of the next data success story?

Brainnwave has a mission - to provide access to all the world’s data in one click, to make it data universally discoverable, accessible and usable.

Come along and find out more about Brainnwave’s exciting new platform ahead of its launch in January 2017.

Brainnwave co-founder, Steve Coates, will not only give you the lowdown on the ground-breaking enterprise, but will also invite you to get involved.

Accept this challenge and you will get exclusive pre-launch access to the data platform. Your mission will be to explore the opportunities in advance of the official Brainnwave launch and provide feedback.

Come along and get your exclusive pass into this new data opportunity.

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Event schedule:
6:30 PM – 7:00 PM: Networking
7:00 PM – 7:20 PM: Steve Mattey
7:20 PM – 7.40 PM: Steven Faull
7.40 PM - 8.00 PM: Ariel M'ndange-Pfupfu
8:00 PM – 8:20 PM: Steven Coates
8.20 PM - 8.30 PM: Q & A session
8.30 PM – 9.00 PM: Networking and Drinks

If you would like to join us for a relaxed evening of insight, debate, pizza and beer then just RSVP :)!