Monday, May 23, 2016
6:00 PM for 6:30 to 8:30 PM
Royal Statistical Society
12 Errol St, London, EC1Y 8LX
Please register here: http://www.meetup.com/Society-of-Data-Miners/events/230644414/
The Society of Data Miners is delighted to announce an event in association with ethe Royal Statistical Society, titled “The value of Big Data to UK PLC” with speakers Rich Pilling and Dr Maya Dillon, to be held at the Royal Statistical Society, 12 Errol St, London, EC1Y 8LX at 6pm, 23rd May 2016.
Big Data and Data Science: From Here to Infinity.
The concept of Big Data and Data Science have now become synonymous with each other. Data Scientists are now holding the “Sexiest Job of the 21st Century.” And with the dawn of the Internet of Things, and the development of Cognitive computing, humanity is well on its way to approaching the ‘technological singularity’.
But what is actually happening out there? Where is the value of Big Data? What are Data Scientists doing? And where is this rapid growth and development of technology and scientific methodology going to take us?
Join Dr Maya Dillon as she gives an overview on state of play of Big Data and Data Science in the global economy, as well as presenting some interesting ideas on where it’s all heading.
Dr Maya Dillon is an Astrophysicist, Data Scientist and specialist in AI and Machine Learning, and Head of Data Science, at Luxoft Big Data Center of Expertise.
"I remember being told a joke about knowledge: a CFO asks his CEO, "What happens if we invest in developing our people, and then they leave the company?"
Many thanks to Sophie Sparkes from Tableau for her excellent and entertaining presentation on 25/11/15. Thanks also to Christophe Le Lannou for organising the event, and to the Digital Catapult Centre for hosting us.
Slides are available here:
Rich Huebner is undertaking valuable research into the impact of management involvement on the success of data mining projects. Please take his survey here: https://www.surveymonkey.com/r/tms-and-data-mining
Many thanks to all those who attended and took part in the discussion; it is your contribution which makes these events so worthwhile.
You can download the slides here:
Predictive Analytics assists the achievement of business objectives; a Predictive Analytics Strategy indicates what business objectives will be achieved through Predictive Analytics, how they will be achieved, and how the business benefit will be measured. Many organisations are in need of a strategy for Predictive Analytics, and Tom will address this need in two ways: by listing and organising the elements which make up such a strategy, and by outlining the activities needed to develop such a strategy in a specific business situation. Also including pitfalls in Predictive Analytics Strategy, using examples from commercial and government organisations.
This is one of 3 FREE webinars in association with the UNICOM Data Analytics conference, also including big data challenges in financial services and predictive analytics for TV advertising performance.
Many thanks to Meta for an excellent discussion of the data analystics process and the vision of SocDM. Thanks also to all who attended; it is your input which makes the Society work. Watch out for further events this Autumn.
The Society of Data Miners, in association with the Data Science Institute of Imperial College London, is delighted to welcome Meta Brown, author of Data Mining for Dummies, who will speak on “Analytics Failure: How to Avoid It” at 6:30pm on Weds 24th June 2015 at the Huxley Building, Imperial College London, South Kensington Campus. Registration required, click here for details.
Monday 2nd February 2015, evening meeting at London Metropolitan University.
Many thanks to all those who attended our open meeting on 2nd February 2015, and especially to those who have offered to become involved with the Society’s activity groups about ethics, certification, education, conferences and standards.
Many thanks again to London Metropolitan University for their kind provision of the venue, especially to Prof. Dominic Palmer-Brown and Seema Patel, and also to Vassil T. Vassilev for his interesting presentation on dynamic user profiling.
The Society of Data Miners is an independent non-profit organisation for the public good with the purposes to:
- Increase the benefits of data mining to society;
- Increase knowledge and awareness of the nature and benefits of data mining;
- Advance the profession of data mining;
- Form a community of and for data miners.
In pursuit of these purposes, the Society of Data Miners will:
- Hold events for data miners to exchange experience, formulate best practice and broaden the scope and benefits of data mining;
- Encourage adoption of the highest ethical standards in data mining;
- Provide public and media information about data mining and its benefits;
- Provide certification of data miners who have reached a recognised level of competence and experience in data mining practice;
- Encourage the creation of a literature of data mining practice;
- Encourage data mining standards;
Welcome to the SocDM newsletter. Our first issue contains:
- A welcome from the Chairman, and dicussion of SocDM activities;
- Analysing Early Adoption, by Francine Bennett;
- R for Open Source Data Mining, by Andy Pryke;
- The case for a Chief Analytics Officer, by Chris Hemingway;
- Introducing the SocDM directors.