Hello wonderful big data developers and enthusiasts. We hope this email finds everyone well!
We are happy to announce our forth event for 2017! This time, we welcome Stamatis Stefanakos (Managing Director at D ONE) who will talk about the architecture and challenges of building big data and real time solutions in the energy sector. Our second speaker is Lefteris Mantelas (Business Intelligence & Analytics at Beat) who will present us how lead scoring and lead grading can help sales team increase their revenues. At the end, MLTrain will speak us about a very promising Data Science and Machine Learning course in Athens.
Our venue is the auditorium on the ground floor of ALBA Graduate Business School. The venue has around 110 seats but there is space for people to stand as well. Please RSVP early but do remember to keep your RSVP up to date to allow other people who would like to attend a chance to come if your plans change.
We are really looking forward to seeing you there!
Title: Big data meets renewable energy: Building a real time asset management platform for renewable energy
How does one cope with some[masked] wind turbines worldwide, each delivering 100+ measurements per second? How do you guarantee profitable operations of an industry worth $110 billion investments globally, making it one of the fastest growing industrial segments in the world?
In this talk, we discuss how WinJi built its TruePower Asset Management Platform. In particular, we will discuss the overall architecture and the motivation behind it (lambda architecture, data-vault, in-stream analysis), the physics behind the data (wind measurement corrections, in-stream calibration of turbine efficiency using neural networks) as well as the business case (analytics of lost production opportunities, predictive maintenance, expected power prediction & “day ahead” production forecast).
Dr. Stamatis Stefanakos is a managing director with D ONE, a premium business consultancy headquartered in Zurich. He advises his clients in data analytics focusing on architecture and strategy. He holds a PhD in theoretical computer science from the Swiss Federal Institute of Technology Zurich (ETH). He received his diploma from University of Patras in 2000.
Title: Lead scoring & grading: A near live combined implementation in a SaaS company
The combination of lead scoring and lead grading aims at optimising the usage of sales team resources. This is done by allocating to them the most qualified leads that have the best chances to match the company’s customer profile. This is a high-level view on how a near-live combined analytical approach was implemented in Workable using data from 7 different data sources.
Dr. Lefteris Mantelas is a BI & Analytics professional that recently moved to Beat (up to recently Taxibeat) from Workable. Before that, he had worked on consulting firms (EY & IRi) on analytics projects and in academia (FORTH). He holds a BA in Applied Mathematics from the University of Crete, an MSc in Geoinformatics and a PhD in Urban Growth Modelling from NTUA. For the last 10 years, he has been applying data analytics and modeling to solve problems and support intelligent business decisions on various areas and domains.
MLTrain, an educational endeavor of ‘Ismion Inc.’, focuses on machine-learning-in-practice by leveraging the content of recent academic research to meet the needs of industrial applications. MLTrain offers courses at different levels of detail, addressing varying audiences, from developers to business analysts and executives. It is our tenet that effective machine learning is done by understanding the potential, the effects and the practical implications of state-of-the art algorithms, and implement them using toolsets that are open and adopted by industry giants like Google and Amazon. MLTrain is based in Atlanta US and offers its services worldwide with a recent record of courses and workshops in the US, Australia and South Africa.
7:00-7:25 – Socialising
7:25-7:30 – Welcome
7:30-8:05 – 1st Talk
8:15-8:50 – 2nd Talk
8:50-9:00 MLTrain mini presentation
9:00++ – Drinks and Pizzas
A massive thank you to our sponsors: