#50 – Big Data — en kilde til innovasjon
Expørt: Arturo Amador
Senior Data Scientist
fra Acando Norge
Med lørner Silvija Seres
Hvilke selskaper i Norge utnytter Big Data på best mulig måte? Og hvordan kan man forstå menneskelig mobilitet ved bruk av lokasjonsdata? I denne episoden #LØRN snakker Silvija med Senior Data Scientist i IoT division hos Acando, Arturo Amador om hvordan Big Data er en kilde til innovasjon og om menneskelig mobilitet.
Noen kjappe med ekspørt Arturo Amador
Arturo Opsetmoen Amador
Big Data, IoT and Analytics: understanding humans as sensors
To linjer om din «claim to fame»
In 2009 I was one of 340 applicants for a Ph.D. position at NTNU. A few months after my application NTNU decided to import me and pay for my degree. Working as a data scientist I have helped Norwegian businesses to understand human mobility.
Hvem er du, og hvordan ble du interessert i big data?
Arturo Opsetmoen Amador is a senior data scientist working as a consultant for the industrial IoT division of Acando. He specializes in the application of AI technologies to solve practical problems that have positive effects on society. He has experience as a lead data scientist in Smart Digital, a division part of Telenor Norway – Business. He has worked in Telenor’s Big Data project “Mobility Analytics”. He has a scientific background and holds a Ph.D. in physics from NTNU. His interests include Big Data, AI and ML technologies, and how their implementation can improve our society.
Hva gjør dere på jobben?
At work, we have a broad variety of projects. These can be projects in Big Data, Industry 4.0, automation, and AI applications. An example Big Data project is the one where I work: Mobility Analytics. I work as a lead data scientist for Telenor in this project. We are trying to understand human mobility with the use of location data generated by the cellular network.
Hva er greia med big data?
Big data as defined by the three V’s (Volume, Velocity, Variety) is not something new. The first documented use of the term “Big Data” appeared in a 1997 paper by scientists at NASA, describing the problem of visualizing very large data sets. Nowadays we can use the advances in Big Data technologies to analyze datasets composed of billions of rows (and Terabytes!) in real time.
In the present, and with the help of Big Data, society can step up in its focus on evidence-based policy making and monitoring of development progress. It is therefore key to have the expertise of combining different data sources with advanced analytics. With these capabilities, one can tap into the opportunity of creating value for decision makers and society.
Hvorfor er det spennende?
Big Data has been a source of innovation, and with the right use of this technology by policymakers and business leaders it can continue improving our everyday lives. Making use of Big Data technologies has the potential to accelerate economic growth and sustainable development.
Hvorfor er det skummelt?
I think Big Data can be intimidating, to say the least, when one considers the following three aspects:
c) Policying the technology
Ditt beste eksempel på big data?
Of course I have to say my best example of Big Data is the one generated by Telco companies. It is often said that we are a very digital society and I believe this is defenitely true for Norway. According to SSB, 98% of the Norwegian population has access to a mobile phone. We use our phone to interact with our family and friends, to organize our professional like, to keep track of our fitness. All of this human interactions are being conducted through the cellular network and they produce a lot of data every minute of the day.
Dine andre favoritteksempler på big data, internasjonalt og nasjonalt?
My second example of Big Data is the one generated by social networks, such as Facebook. If you think about it, people can be seen as a sort of sensor. We are sensitive to weather conditions, to political atmospheres, to big events happenings (festivals, concerts, etc.) and to small ones as well (offers at shopping centers, for example!). A lot of people’s reactions are being shared and therefore captured through social media.
Hvordan funker det egentlig?
Big Data is a set of technologies and techniques that allow us to handle the massive amount of information being generated by several sources. It allows us to extract value from this data by applying different techniques such as AI and machine learning.
Hva gjør vi unikt godt i Norge av dette?
There are a few companies in Norway that are generating good value from Big Data. I think Telenor is a great example of the good use of Big Data. They currently use Big Data and analytics internally for several cases. These include,
a) Cellular network deployment and maintenance
b) Customer care
c) Cyber security
Among their “external Big Data initiatives” they have:
d) Big Data for social good
e) Mobility Analytics for the Public Sector
What is great about the way Telenor is handling their big data is that, they have come up with a good framework that allows them to open their data so that other companies can benefit from the insights that come from understanding human mobility.
Anbefalt lesing/seing om big data?
a) Big Data: A Revolution That Will Transform How We Live, Work, and Think. Book by Kenneth Cukier and Viktor Mayer-Schönberger
b) Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance. Book by Bernard Marr
c) The Surveillance State: Big Data, Freedom, and You. Lectures by Paul Rosenzweig
d) Weapons of mass destruction. Book by Cathy O’Neil [Text Wrapping Break] En kort big data -sitat for å hekte på bildet ditt ved publisering?
Human mobility/interaction patterns: If you can measure it you can improve it!
Dette lørner du:
Nasjonale og internasjonale eksempler
Bruken av Big Data kan være manipulativ; for eksempel i forhold til markedsføring som vet å trykke på kjente knapper som får kunder til å gi seg hen. Hvilke retningslinjer over bruken tenker du må være tilstede nå når Big Data skyter frem for å beskytte befolkningen? Hvordan spiller skillet mellom maktforholdene inn da? Toppene ønsker å tjene. Land trenger inntekt av forbruk. Står vi i fare for å gå inn i en verden av Big Data og korrupsjon av tillitt?