23. mai går Oslo Big Data Day av stabelen på BI i Nydalen og Acando er både partner, leder to tracks og holder fire foredrag!
Oslo Big Data Day (OBDD) er den største Big Data konferansen i Oslo, og arrangeres av et «community» av studenter, frivillige, sponsorer og foredragsholdere. Konferansen tiltrekker seg deltakere med et stort engasjement rundt data og teknologi, og har vokst fra 200 deltakere og 20 foredragsholdere i 2016, til 700 deltakere og 40 foredragsholdere i 2017.
Tema for årets OBDD er:
Big Data, Analytics, Business Intelligence, Security, Privacy, GDPR, Compliance, Data Governance, Trends, Datascience, Machinelearning, Artificial Intelligence, The Internet of Things, Industry 4.0, Fintech, Insurtech, Datalake, Blockchain, Open Data, Smart Cities.
Acando stiller med fire foredragsholdere
Martin Kermit, Senior Data scientist, i Acando holder Keynote:
“Face recognition available for all"
The problem of detecting and recognizing a human face was addressed already at the early days of computer vision. Even though other identification methods like fingerprints and iris scans are far more accurate, face recognition has for long remained a major focus for research, perhaps because it is the primary method for people to identify a person in everyday life.
Bjørn Bjercke, Bitcoin Blockchain Specialist, i Acando holder Keynote:
“Blockchain, how it works”
Bjørn Bjercke talks about what's really going on under the hood of Blockchain. Revealing the trust factor and the mechanisms for why decentralization is the key to security.
Bjørn will also be Trackleader at the Blockchain Track.
Rune Larsen, Head of IIoT, i Acando holder foredraget:
“There is no proper way of doing IIOT without Analytics”
“Data is the new oil. It is valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic or chemicals to create a valuable entity that drives profitable activity; so must data be broken down, analysed for it to have value.” Clive Humby
In this introductory talk we will emphasise the importance of analytics in harvesting the full potential of IIOT. We will discuss different analytics techniques, predictive methods and deep learning with respect to their role in helping us understand complex processes and monitoring them.
Rune will be found at the IoT Track. Rune is also the trackleader.
Torulf Mollestad, seniorsenior data scientist og Rune Larsen, Head of IIoT, i Acando holder foredraget:
“There are proper ways of using analytics in IOT”
“When we talk about an Internet of things, it's not just putting RFID tags on some dumb thing so we smart people know where that dumb thing is. It's about embedding intelligence so things become smarter and do more than they were proposed to do.”Nicholas Negroponte
In this talk we will exemplify the use of analytics in IOT by presenting use cases where sensor data is used to continuously monitor and improve processes;
- Industry 4.0 - use of sensor data to enhance efficiency and stability
- Intelligent buildings and cities – use of sensor data to offer better services while reducing costs