Data Natives 2019 Workshops

November 23-24, 2019
Maschinenraum

In this 90 minutes workshop, we will explore bias in word embedding – a widespread building block of many machine learning models models that work with natural languages. Word embeddings have an easy-to-explain representation that allows an intuitive understanding of this building block and its potential biases without a technical background…

This one-day workshop will give an introduction to Data Thinking. Participants will work in interdisciplinary teams. They will work with the Data Thinking developed by dlighted and come up with new data-driven ideas for the sustainable, climate-friendly energy consumption. Data Thinking is the symbiosis of Design Thinking and Data Science. It is a creative mindset to come up with new, reasonable ideas and use case for big data, machine learning and artificial intelligence…

We rely on analytics to make sense of the increasingly information-dense world around us. Magazine covers urge us to be “data-driven.” Customers expect us to anticipate their needs from their behaviour. And studies confirm that organizations relying on data, rather than gut feel, deliver better profits and productivity than their competitors. But humans are messy. We’re bad at data. We believe whatever confirms our beliefs, and we ignore obvious errors…

This workshop is an introduction to cope with JSON data in SQL. It provides the big picture on the features defined in the SQL standard but also explains how various SQL databases diverge from it and extend it. The goal of this workshop is to learn how to use SQL to reduce and simplify the code needed to transform data from JSON into a tabular form and vice versa…

Data science is no longer just a buzzword; we’re finally seeing fruitful uses of data across companies. It’s time to stop saying “We have data”, and start building teams that can harness that data for functional use cases like automation. In this workshop you will identify the era of data and what it means for your organization, you will discover which roles automation plays for  successful future teams…

One of the most interesting innovations to come out of the cocreation in the Genesis Alpha DAO (DAOStack’s first DAO) – The DAO Design Canvas Workshop utilizes a canvas-like tool developed to guide groups through the most vital decisions they face in the process of designing a DAO – Soft and hard governance, on and off chain, no matter what platform. The process of exploring the purpose of groups with the canvas yields well defined use cases, powerful educational experiences and high quality dialogue that often leads into action..

This training is dedicated to product managers, C-level managers, project managers, and any other level managers with limited technical knowledge. We go through the main topics that are important to manage a team and a company that wants to transform into an AI-based company. We explain different approaches and machine learning methods. Show the steps on how to transform properly your company into an AI company. Point out the most popular mistakes done during the transformation….

Exploring Gender Bias in Word Embedding

Description: In this 90 minutes workshop, we will explore bias in word embedding – a widespread building block of many machine learning models that work with natural languages. Word embeddings have an easy-to-explain representation that allows an intuitive understanding of this building block and its potential biases without a technical background. We will use an open-source toolkit called [Responsibly](https://docs.responsibly.ai/) to explore, visualize, measure and remove bias in a word embedding – particularly the gender bias. The workshop is hands-on and interactive. The participants will be able to run pre-written code in parallel to the instructor in the same tools that data scientists are using. Nevertheless, the workshop is designed to be adaptive to a diverse audience: from without any background in machine learning or programming to data science practitioners. The participants should bring their own laptops, but neither setup nor installation is required.
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Speaker: Shlomi is a data scientist and educator. He works on developing knowledge, practices, and tools to audit and mitigate the biases of real-world AI systems. He is the developer of Responsibly an open-source toolkit that brings techniques from AI bias and fairness research to practitioners. He is a co-founder of the Israeli Cyber Education Center, where he led the design of national computing programs for kids and teenagers.

Date: 23rd November

Time: 11:00 – 12:30

Venue: Maschinenraum

New Ideas for Sustainable Energy Consumption through Data Thinking

Description: This one-day workshop will give an introduction to Data Thinking. Participants will work in interdisciplinary teams. They will work with the Data Thinking developed by dlighted and come up with new data-driven ideas for the sustainable, climate-friendly energy consumption.

Data Thinking is the symbiosis of Design Thinking and Data Science. It is a creative mindset to come up with new, reasonable ideas and use case for big data, machine learning and artificial intelligence. Tools, like the Data Innovation Board, have been designed with co-creation in mind, allowing every participant to contribute to the creation of the data strategy and creating a common platform for communication.

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Speaker: Tizian Kronsbein is the founder of dlighted and an active data strategist in the field of Digital Product and Service Design working with customers from different domains in order to make their offerings more efficient and develop the necessary skillsets of their employees. Having created the unique Data Thinking format, Tizian enables his customers to see their hidden data potentials and ultimately build better data-driven products and services.

 

Date: 23rd November

Time: 09:00 – 15:30

Venue: Maschinenraum

Analytics, data science, and critical thinking

Description We rely on analytics to make sense of the increasingly information-dense world around us. Magazine covers urge us to be “data-driven.” Customers expect us to anticipate their needs from their behaviour. And studies confirm that organizations relying on data, rather than gut feel, deliver better profits and productivity than their competitors. But humans are messy. We’re bad at data. We believe whatever confirms our beliefs, and we ignore obvious errors.

In this intimate 3-hour workshop, Alistair will present the fundamentals of Lean Analytics; the data science workflow, and how to recognize bias and error throughout the analytical lifecycle of information. Using entertaining examples, real-world case studies, and open discussion, you’ll leave better equipped to make the most of your data while avoiding some of the most common pitfalls.

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Author, entrepreneur, and teacher Alistair Croll has been looking at data bias for over a decade. He’s been a visiting executive at Harvard Business School, helping tomorrow’s business leaders think critically about data. And as the co-author of the best-selling Lean Analytics—the definitive guide to using data to build a business faster—he’s reached hundreds of thousands of startups and business leaders.

Date: 24/11/2019

Time: 15:00 – 18:00

Venue: Maschinenraum

 

 

From Documents to Tables and Back: Processing JSON in SQL

Description: Even though SQL started as a language to process relational data, SQL has evolved into a polyglot data processing language in the past decades. One of the more recent additions enables SQL to create and process JSON documents.

This workshop is an introduction to cope with JSON data in SQL. It provides the big picture on the features defined in the SQL standard but also explains how various SQL databases diverge from it and extend it. The goal of this workshop is to learn how to use SQL to reduce and simplify the code needed to transform data from JSON into a tabular form and vice versa.

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Speaker: Markus Winand is an independent author, trainer and consultant on all things SQL. His book “SQL Performance Explained” has just been translated into a fifth language. It can be purchased as a print edition, and it’s also available to read for free on his use-the-index-luke.com website. Markus is currently working on his second book centered on the idea that things have changed a lot since SQL-92. It is likewise available free of charge online (modern-sql.com). Markus Winand is regularly speaking at international conferences and user groups.

Date: 24th November

Time: 09:00 – 13:00

Venue: Maschinenraum

Do you still work with Excel? Key working methods for future team

Data science is no longer just a buzzword; we’re finally seeing fruitful uses of data across companies. It’s time to stop saying “We have data”, and start building teams that can harness that data for functional use cases like automation.

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Lior Barak has a proven track record in successfully converting startup companies from Excel to state-of-the-art automated data-driven reporting systems. In the past three years, he has worked his magic for several companies, structuring data and developing a one-stop-shop reporting approach that allows users to focus on actions.

  • What you will learn in this workshop:
  • Identify the era of data and what it means for your organization
  • Which roles does automation play for the key of successful future teams?
  • Identify key roles in future teams
  • Identify key work methods for the future teams

Date: 23rd November

Time: 14:30 – 16:30

Venue: Maschinenraum

The DAO Design Canvas

Description One of the most interesting innovations to come out of the cocreation in the Genesis Alpha DAO (DAOStack’s first DAO) – The DAO Design Canvas Workshop utilizes a canvas-like tool developed to guide groups through the most vital decisions they face in the process of designing a DAO – Soft and hard governance, on and off chain, no matter what platform. The process of exploring the purpose of groups with the canvas yields well defined use cases, powerful educational experiences and high quality dialogue that often leads into action. DAO Design Canvas has been used in all 5 continents and has been used to design the CuraDAO, the dHack DAOs amongst others.


Originally an artist and activist, Felipe’s experience on the ground during the social upheavals of Brazil over the last decade have shifted his reflections towards society and organizations. Now based in Berlin, his activities conspire to evolve how we relate to each other and with our personal narratives – which led him into the Genesis Alpha DAO. In interaction, he designed the DAO Design Canvas, organised and published the book Decentralized Thriving and become the Manager of DAOfest. Now he is spearheading the initiation of the FestDAO and building DAOfest.world – a platform for proliferating quality DAO encounters in meatspace

Date: 24/11/2019

Time: 09:30 – 11:30

Venue: Maschinenraum

 

AI for Managers

Description: This training is dedicated to product managers, C-level managers, project managers, and any other level managers with limited technical knowledge. We go through the main topics that are important to manage a team and a company that wants to transform into an AI-based company. We explain different approaches and machine learning methods. Show the steps on how to transform properly your company into an AI company. Point out the most popular mistakes done during the transformation. An important part has dedicated the process of data science projects which includes data acquisition, data preprocessing, model building and validation. We show also how to build a data science team and what are the most popular tools available on the market.

Agenda:

  • Machine learning taxonomy
  • Tools overview
  • AI-based project workflow
  • AI Transformation Building AI teams
  • Quality models measures

Trainer: Karol Przystalski is CTO and founder of Codete GmbH. He obtained a Ph.D in Computer Science from the Institute of Fundamental Technological Research, Polish Academy of Sciences, and was a research assistant at Jagiellonian University in Cracow. His role at Codete is focused on leading and mentoring teams. The company has built a research lab that is working on machine learning methods and big data solutions in specialty areas such as pattern recognition and HDP.

Date: 24/11/2019

Time: 14:30 – 18:30

Venue: Maschinenraum

 

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