Norwegian Big Data Symposium (NOBIDS)
5th Norwegian Big Data Symposium (NOBIDS) 2019
5th Norwegian Big Data Symposium (NOBIDS) 2019
Special Theme: APPLIED ARTIFICIAL INTELLIGENCE
The 5th Norwegian Big Data Symposium - NOBIDS 2019 welcomes the submission of original research and application papers dealing with all aspects of Big Data and also the speacial theme "Applied Artificial Intelligence".
NOBIDS 2019 welcomes the submission of original research and application papers dealing with all aspects of Big Data, including the application of Artificial Intelligence (AI) in large-scale solutions. The impact of Big Data and large-scale data infrastructures is now visible in science, business, government and civil society. Companies store more data than anyone could imagine just a few years back, and the proliferation of open linked data has made it possible to share well-defined data across organizational and geographical boundaries. Big data and data science are rapidly expanding research areas that are of great importance to both industry and academia. The focus is on scalable techniques for intelligent data production, collection, classification, storing, integration, analysis and visualization. Big Data is multi-disciplinary of nature and is closely linked to industrial innovation and value creation.
The 5 th Norwegian Big Data Symposium (NOBIDS 2019) focuses on Big Data applications and Big Data research from all disciplines, with a particular focus on applied artificial intelligence. Whereas techniques from Artificial Intelligence have been around for many years, we now explore how Big Data technologies enable sophisticated AI techniques to be applied in large-scale industrial applications. With better methods to process large data sets in real-time, these new applications use machine learning and knowledge models to bring more intelligent solutions to the market that help companies extract more value from their data and make better decisions. Often these AI applications include features that were unthinkable in an industrial context just a few years ago. Applied AI is now reshaping industrial applications and practices with the help of Big Data architectures, frameworks and technologies.
NOBIDS 2019 aims to bring researchers and industry practitioners together to exchange ideas, establish collaborations and share experiences within the special theme of artificial intelligence in data science and big data applications.
There are already a number of successful applications of Big Data and AI solutions in Scandinaviancompanies. A central objective of the symposium is to create an interdisciplinary community that addresses industry-relevant issues in Big Data/AI and promotes fruitful collaboration between researchers, companies and practitioners.
To register to NOBIDS please follow this URL: https://eventselskapet.hoopla.no/sales/2821467607
To register to NxtMedia Conference please follow this URL: https://eventselskapet.hoopla.no/sales/4182390012
AI Applications in Telenor, Massimiliano Ruocco, Telenor
Descriptions: AI is one of the fundamental technologies of the 21st century, and one of our goals is to make Telenor a data-driven AI company. In general we believe that AI must be used for a best society. That's why we established the Telenor-NTNU AI-lab at NTNU in 2017, now renamed to Norwegian Open AI Lab. We want to build national competence on AI, and by that contributing to the European community. In Analytics and AI group in Telenor Research we have been working across different problem domains such as networks, marketing, customer care, and IoT, with different types of data such as location data, CRM data, sensor data and text, and we use state of the art models such as deep learning and reinforcement learning. This talk will go through some of the main cases we have been working in such domain, and discuss the main possibilities of AI for a Telco company.
Automating the media supply chain, Johanna Björklund
Our media and communication infrastructures are being reconstructed to leverage advances in machine learning. The goal is to increase process automation, and have AI systems with a semantic, or human-like, understanding of media content take on previously manual tasks. In this talk, we give a series of examples of how new technology can be brought out from a lab environment and turned into useful tools for publishers and broadcasters.
About the speaker: Johanna Björklund is an Associate Professor at the Department of Computing Science at Umeå University. Her research is on semantic analysis of multimodal data, incorporating, e.g., images, audio, video, and text. She is also a co-founder of the IT companies Codemill, Adlede, and Accurate Player, which deliver products and services for the media supply chain and count ITV, BBC, and ProSieben among their customers.
Data and analytics in finance, Aria Rahmati, DNB
A financial organization such as DNB holds vast amount of financial data about their millions of customers. The amount has increased rapidly in the recent years. Especially, with customers adopting digital channels, more and more data of how customers interact with the bank is collected. This data is a massive asset for the banks, but owning data is not enough per se. Proper data preprocessing and modelling is required to exploit the true value of the data. This talk focuses on the practical side of data and analytics and walks through some of the applications and models that are currently used by DNB. In addition, it discusses why cutting-edge methods is not the main concern in practice, and what other important criteria are for implementing a model.
The really valuable AI problems in Industry, Trygve Karper, Cognite
While you as a consumer cruise around in a digital bliss, the industrial world is in many ways stuck in 1995. Massive efforts are currently underway to digitize industry. In fact, so much so that it is now common to talk about this as a fourth industrial revolution. It is clear that Big Data and AI technology will be a massive contributor to a successful revolution, but what are the areas where the real battle stands? In this talk, we will address the fundamental difficulties that the industry is facing and how new technology, as well as new ways of working, needs to be developed to succeed going forward. We will highlight some key differences between the consumer world and the industrial world and draw from that some key challenges that must be overcome to move forward. Moreover, we will also discuss some of the inherent difficulties with applying AI technology to physical systems and what it actually means to change how you work based on input from data driven processes.
About the speaker: Trygve Karper is VP of ML Engineering in Cognite. He has a mathematical background, with focus on partial differential equations and numerics, and has a PhD from UiO and been an Associated Professor at NTNU. Later he worked on simulation software for oil and gas. Having joined early in Cognite, he’s been a central driving force in Cognites data science journey - helping heavy asset industrial companies to digitalize.
Micro mobility and sharing economy, Marius Olsen, Urban Sharing
Cities are growing all over the world. New solutions for city life are popping up. Micro mobility is a key, new element combing mobility, sharing economy and high tech. The US Urban Sharing company this year made it to Newsweeks top 100 list of companies that try to make cities a better place to live.
Urban Sharing will now further develop and make sure that the platform that Norwegian city bike users know well, finds its way to new markets around the world. The company has already signed agreements in Stockholm and Edinburgh. The goal is to create a platform that can be adapted to several types of micro mobility anywhere in the world.
About the speaker: To head this work in Norway, Urban Sharing hired former Schibsted manager for tech trends, Marius Olsen, to make use of his proven founder interest and digital experience from the news media battleground which has seen struggles of digitalization for the last 25 years. Marius Olsen was educated at NTNU.
Successful applied AI in marketing, Freddy Aursø, Lighthouse8
Top trends for business success in 2020 will be customer experience and personalization. Lighthouse8 is internationally up front on these insights by utilising AI technology developed in cooperation with scientists at the NTNU.
This is about the combining of data at infrastructure level: taking data, applying business logic to insights gained from key data and delivering results back to customers and prospective clients. Being able to have data, clients, technology and UX people come together is key to becoming leaner, more responsive and more profitable. Tackling the challenges of man-machine interaction will be the strategic battleground for the future.
About the speaker: Freddy Aursø, gründer and CEO of Lighthouse8, has +15 years’ experience in the marketing and technology industry, working as a strategic advisor for companies such as Toyota, IKEA, eBay and hotels.com.
As founder and CEO at Lighthouse8, he is leading the strategic direction and operation of their teams in the European and APAC market. Before Lighthouse8, he was one of the co-founders of the global digital agency Digitas.
Topics of Interest
Topics of Interest
Topics of interests for the research track of NOBIDS 2019 include but are not limited to:
- Big data architectures
- Industrial applications of big data and AI
- Scalable AI/machine learning
- New programming models and platforms for big data computing
- Cloud/grid/stream computing for big data
- Conversational systems and chat bots
- News summarization, classification and sentiment analysis
- Fake news detection
- Large-scale semantics and open linked data
- Large-scale language models
- Scalable Natural Language Processing
- Recommender systems and personalization
- User experience and visualization of big data
- User intelligence and user profiling
- Social media systems
- Anonymization, privacy and security
- Business models for big data and AI
- Legal aspects of open and protected data
- Evaluation and benchmarking of big data and AI applications
- Quality of big data
- Data platforms for big data and AI
- Explainable AI technologies
- Trustworthy AI
- Societal impacts of AI solutions
- Innovations with AI and big data
- Commercialization of AI and big data
Attendance and Registration
Attendance and Registration
The registration fee for NOBIDS 2019 is 630 NOK. The registration fee includes the lunch and coffee breaks.
Participants are also encouraged to register also for the NxtMedia conference the day after.
In order to register to NOBIDS 2019, please follow the link below:
08:30 - 09:00 Registration
09:00 – 11:25 Pre-lunch Industrial Track
09.00 – 09.30 Freddy Aursø, CEO, Lighthouse8
Successful applied AI in marketing
09.35 – 10.05 Aria Rahmati, Data scientist, DnB
Data and analytics in finance
10.05 – 10.25 Coffee break
10.25 – 10.55 Massimiliano Ruocco, Senior Research Scientist, Telenor/NTNU
AI Applications in Telenor
10.55 – 11.25 Marius Olsen, CEO, Urban Sharing
Micro mobility and sharing economy
11:25 – 12:25 Lunch
12:25 – 15:00 After-lunch Academic Track
12.25 – 12.55 Johanna Bjørklund, Associate Professor, University of Umeå
Keynote Speech: Automating the media supply chain
12.55 – 13.25 Trygve Karper, VP of ML Engineering, Cognite
Keynote Speech: The really valuable AI problems in Industry
13.25 – 13.40 Coffee break
13.40 – 14.00 Deep Reinforcement Learning for Path Following and Collision Avoidance
Camilla Sterud, Haakon Robinson, Signe Moe, Adil Rasheed, Omer San
14.00 – 14.20 Multi-class text classification in Norwegian using pretrained word embeddings, Sigrid Lofthus Bjørndal
14.20 – 14.35 Coffee break
14.35 – 14.55 An AI-enabled assembly support system for industrial production
Mona Forsman, Benjamin Björklund, Henrik Björklund, Johanna Björklund
14.55 – 15.10 A Brief Review of Generation-based Conversational Agents
Yujie Xing, Jon Atle Gulla
The papers must be formatted according to the LNCS style and submitted as a pdf file. We solicit three types of papers:
Long papers: Up to 14 pages, including references
Short papers: Up to 8 pages, including references
Demo papers: 2-4 pages, including references
All submissions to the research track should be made using the EasyChair Conference System.
Follow this URL to submit a paper: https://easychair.org/conferences/?conf=nobids2019
Accepted papers will be published online in a CEUR workshop proceedings. At least one author of each accepted paper must attend the workshop. A selection of the best papers will be invited to publish in a special issue of an NTNU Open Access journal on big data and analytics.
Program Committee Members
Program Committee Members
- Aria Rahmati, DNB
- Asbjørn Følstad, SINTEF
- Benjamin Kille, TU Berlin, Germany
- Csaba Veres, UiB
- Dumitru Roman, SINTEF
- Filippo Remonato, SINTEF Digital
- Jon Atle Gulla , NTNU
- Massimiliano Ruocco, Telenor/NTNU
- Nils Barlaug, NTNU
- Odd Erik Gundersen, NTNU
- Özlem Özgöbek, NTNU
- Svein Erik Bratsberg, NTNU
- Yujie Xing, NTNU
Jon Atle Gulla, Norwegian University of Science and Technology, Norway
Rolf Dyrnes Svendsen, NxtMedia, Norway
Özlem Özgöbek, Norwegian University of Science and Technology, Norway
Benjamin Kille, Technische Universität Berlin, Germany
Nils Barlaug, Norwegian University of Science and Technology, Norway
Yujie Xing, Norwegian University of Science and Technology, Norway