Data is everywhere – How do you get it in one place

data-natives-berlin-searchtalent

Event Review: Data Natives conference 2018 in Berlin

Our team participated in Data Natives 2018 – the conference for the data driven generation where experts, developers, data scientists and business professionals come to share the experience as well as discuss on how to explore the technologies that are shaping our world. All of our Data Scientists and some of our Developers had the pleasure to join the 2-day conference, in order to get inspirated and the following text will mirror their experiences.

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The Data Natives conference consists of almost 100 events spread out across 10 topics in 3 themes: technique, business and IBM minitheatre. Additionally, there are talk rooms where audience could discuss with speakers in more detail about their talks. The 2-day conference attracting more than 1600 attendees and 110 speakers was a really worthy conference in order to learn, discuss and give critical thoughts a chance.

The main theme of Data Natives this year is “The Quickening”. We have witnessed the booming growth of technology as well as affluence of data in various fields, from NLP, computer vision, health care to autonomous driving. The conference brought audience and speakers closer to each other to answer the questions:

How could we take advantage of this chance?

How does this accelerated development mean for not only businesses and professionals but also every single person?

Data Natives conference 2018 - Day 1

During the 2-day conference, the organization of talks did reflect the main theme: Almost all sessions lasted for 10-20 minutes, focusing on technical and business aspects. One out of interesting initial talk was: “Data is everywhere. Literally. How do you get it in one place” by Mr Drobiazko (co-founder and CTO at elastic.io). During the talk, he restated the challenge of having too much data as well as sources to get data from. He also mentioned the difficulty that all start-ups, including Searchtalent have to deal with: How to pick up right data from endless pool of information. Finally, he introduced how elastic.io helps businesses on gathering data together across the entire organization.

In the afternoon, one hot presentation attracting many listeners was “Deep Learning for developers: introduction to DeepLearning with Keras and Tensorflow” (We were lucky to have seats on the first row, while most of audience had to stand). Mr. Reimann from IBM gave us a decent introduction of Deep Learning, via explanation of mathematical background and its applications. In the second part, a quick tutorial of two most common frameworks in Deep Learning was introduced as a way to facilitate the way Deep Learning models built, developed and maintained. This 30-minute talk could be seen as an ingredient to answer a crucial question for another IBM talk which will be mentioned in the next section. After the first day finished, we were absolutely excited and expected to hear more from speakers on the next day.

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Data Natives conference 2018 - Day 2

If on day one, we spent most of the time to attend talks and presentations, on day two, we paid more attention to start-up alley, where start-ups introduced their products and solutions. One very interesting solution was a graph application platform from Structr GmbH. Our team spent about 10 minutes on discussing with them about the usage as well as scalability of their tool.

Being impressed by IBM minitheatre one day before, we attend another IBM talk “Data scientist Meets Developer”. In this talk, not speaker but audience contribute most to the talk. We speak out the difficulty when data scientists would like to take part in production phase, or developers desire to participate in prototype phase. We discussed on how data scientists get familiar with various tools and platforms, as well as how developers could build Machine Learning models which heavily base on mathematical stuff. Some audience also shared their experience in their current company, to demonstrate how data scientists cooperate with developers. Then, answer for the question „Could data scientist be developer and vice versa” came to us naturally.

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Finally, we took part in the panel Fraud detection with guests were Zsofia Hajnik from weQ and Carlos Rodrigues from Marionette. They corrected the meaning of fraud data, which is not only one created intentionally by someone, but also something unavoidable because of complex structure of data in industrial environment. The two guests shared the experience of how they detect and deal with such imperfect data in their applications. They also stressed the importance of carrying out continuous experiments for successful projects.

Conclusion

After all a very nice conference, we could say. We had the chance to discuss, get more insights in different companies and were able to also learn for own good. We will try to adapt some of the ideas in our own data-based work-environment. The main theme of Data Natives this year was “The Quickening”. We have witnessed the booming growth of technology as well as affluence of data in various fields, from NLP, computer vision, health care to autonomous driving. The conference brought audience and speakers closer to each other to answer the questions: How could we take advantage of this chance? How does this accelerated development mean for not only businesses and professionals but also every single person?

We look forward to meet speakers and audience again at the Data Native conference in 2019.

data-natives-searchtalent-team

About our guest author

Hung Viet Nguyen Searchtalent
Hung Viet Nguyen
Data Scientist Searchtalent

Viet is a member of data science team at Searchtalent GmbH. His team is building AI solutions which could be integrated in HR process. He focuses on Machine Learning and Data processing. His daily tasks include collecting data from various sources, building our database and making AI models. Additionally, he also cooperates with our developers to integrate his team’s prototypes into our HR solutions.

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