By Danica Bozin Jul 05, 2018
Back in 1989 they were new fields, and a lot of work that is done by computers nowadays were done manually, Lin remembers. As better machines were developed, cheaper storage and greater computational power, it enabled data science to blossom.Companies got the chance to extract knowledge from many different sources and it allowed for better understanding of problems both employees and customers were facing...
By Danica Bozin May 10, 2018
Our next guest is Saša Radovanović, he is a Data Science and CLM Team Leader at Telenor. He spoke at the conference about B2B offers on Mobile Apps, but for this interview we went further and asked about some hot topics such as GDPR, the use of Machine Learning in TelCo industry and the impact a data science community can have. Enjoy the interview :)
By Danica Bozin April 26, 2018
Today is the international Girls in ICT day and we are celebrating it by giving you an interview with one of the female speakers on DSC/3.0. Her name is Sharala Axryd and she comes from Malasia now working as a CEO of ASEAN Data Analytics Exchange (ADAX), a company with a mission to educate data scientists. Her background is in engineering and she’s been an entrepreneur for around ten years when in 2013 she realized she needed more data scientists, Sharala founded the.
By Danica Bozin April 19, 2018
Last week we presented the interview with Dr Ivan Lukovac about the way that data science can be introduced to universities. This time with us we have a keynote speaker from DSC/3.0, Marting Rugfelt, Founder and CEO of Sentian.ai. Sentian.ai provides solutions for large companies about predictive maintenance, anomaly detection, optimisation and more. We discussed a lot of fun things about AI and its future.
By Danica Bozin April 12, 2018
More often than not, universities fail to include new disciplines and sciences into their curriculum. This is definitely not the case with Faculty of Technical Sciences, University of Novi Sad (FTN). Ivan Lukovic, a professor at the FTN, is explaining what it is like to introduce such a cutting edge course at a university which is trying to follow the trends of the job market. Last year they enrolled first generation of students to the first data science university program in Serbia and here’s what he had to say.
By Danica Bozin March 29, 2018
Companies today collect a lot of data, and it's usually hard to make sense of all of it. This data needs to be presented in a way so that anyone in the company can find what they need to push the business forward. It can answer many questions and help a company grow if presented in the right way to the right people.
By Danica Bozin March 22, 2018
Please welcome our next interviewee, Darko Marjanovic. He is a Co-Founder and CEO of ThingSolver, a data science startup in Serbia. We were very curious on how he decided to create such a startup here. He replied that it wasn’t initially planned that it become a data science startup, but along the way they figured they really enjoyed working and creating useful information out of data sets and that’s how they changed their company’s mission.
By Danica Bozin March 16, 2018
Many of us are wondering how we can cross the big gap between our current position and landing a data science job. Last year at the Conference we had an opportunity to speak with data science experts about diverse topics, from education to current and future trends in the field. Luckily for everyone we documented most of the content we provided at the Conference!
By Sanja Umicevic, Desa Marinkovic and Nikola Vukobrat, November 16, 2017
Companies are constantly striving to continuously provide better customer support as it greatly improves customer satisfaction and retention rate. In often results in customer support department being one of the most resource and cost intensive departments in a company. On the other hand, it is hard to link customer support to a ROI and a cost of handling customer support often outweighs the value which it brings to the table.
By Rosanda Milatovic Skoric, November 15, 2017
Modern business requires results. It requires decisions and answers.
Correct ones. Can you deliver them? How?
Going forward in business requires creating added value or in general stuff or content you can sell to somebody. But how does one know what to make or create? How and when? This is where data comes handy. The more data the better, right? As long as you’re not faced with big and fast data.
By Danica Bozin, November 14, 2017
Data Science Conference / 3.0 is coming up in less than a week and it is high time to start preparing for it! We all feel the excitement when a big event is just around the corner, we aren’t always sure what to expect. You will find an answer to this question and many more in this article that we’ve prepared for you.