List of hackathons about big data in 2018

Global Big Data Conference's vendor agnostic Global Artificial Intelligence(AI) Conference is held on April 27th - 29th 2018 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/ Pharma/ BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc.. )

Register by 24 April to bring your skills, ideas and passion to the forefront and use technology and tools to build a solution that could make a real difference to people in the UK and all over the world. Up to £10,000 is up for grabs for the right idea. Full event details and the registration link can be found on our Splashthat webpage crisishack2018.splashthat.com/.

At Tech Shuttle the companies apply directly to you! On the way in a shuttle bus you will get to know well-known heads of the IT scene on a single day. In addition, we will provide you with a variety of delicious snacks and a wide variety of drinks for free during your entire stay. Take the chance and be there, many vacancies are waiting for you with direct entry opportunity. Get one of the coveted 80 free slots at Tech Shuttle on April 26 th, 2018! www.codecruise.de.

Ziel des Hackathon ist es, in Gruppen von 2-5 Personen unterschiedliche Themen aus dem Bereich Big Data, Machine Learning und Bots zu bearbeiten. Es geht um die Analyse von Daten auf deren Grundlagen Prognosen für zukünftige Entwicklungen abgegeben werden sollen. Der Zugang zu den aktuellen Daten sowie Voraussagen soll durch Chatbots erfolgen. Dabei geht es sowohl um die Benachrichtigung über Ereignisse und Entwicklungen als auch direkte Abfrage von Daten durch natürliche Sprache.

200+ Invited Professional 20+ Companies Represented 70+ Media Coverage 10+ Countries Represented During LongHash Tokyo Hackathon, we would like to invite blockchain-related experts and developers to have an open discussion and jointly develop new features around “Decentralization” and “Security.” The application will be closed on sunday, April 1st before 11:59 PM Tokyo Standard Time.

Monterosa, world leading fan engagement company, is hosting FanHack with support from both ITV and The Jockey Club. You will be teamed up and tasked with using data, video, and maybe even Augmented Reality to find ways of entertaining and engaging fans. You will be able to let your imagination run wild, with a day and the advice of some of our key players at your disposal.

Spend two-months building solutions with DigitalGlobe’s resources and ESA’s APIs, to immediately support disaster relief. You’ll be challenged to transform earth imagery into meaningful context and actionable insights for business growth, global development, and geospatial intelligence with GBDX Notebooks. Unlock over one-hundred petabytes of multispectral and high-resolution imagery by deep diving through 17 years of global images to solve our earth’s most critical problems.

AlgoRun '18 is the second of the annual data hackathons organized by Bogazici University’s Computer Club Compec and Invent Analytics. This year’s AlgoRun is all about sports analytics. Participants will be given NBA data and asked to take on the hackathon challenge by using this data, over a 24-hour period. There are cash prizes for the top teams and all participants who present to the jury win a participation certificate. Registration is free at http://algorunhackathon.com/

Enter the first ever Access to Justice or “A2J” InnoTech Law Hackathon hosted by the Law Society of Hong Kong. Build Apps and Web Solutions to bring access to justice for public good. Join if you are in Law, IT, Public Policy, Startups - anyone with passion for practical innovation and justice. When: 7-8 April 2018 (weekend), 9am-5pm Where: Cyberport, 100 Cyberport Rd, Telegraph Bay Hong Kong

Op 30 en 31 maart 2018 organiseert Info Support in samenwerking met Paaspop de tweede editie van de IT Hackathon. Wat gaan we doen? Tijdens het muziekfestival zelf slimme oplossingen bedenken met Artificial Intelligence, Internet of Things en Machine Learning en deze vertalen naar een Minimum Viable Product (MVP).