The Fremont Women in Technology group hosts quarterly networking events at the HQ of Tableau Software in Fremont, Seattle for people working in technology, specifically women, non-men, and those who support them, to socialize and learn about new technology projects, roles, practices and trends.
At each event we host a 20 minute tech talk by a diverse background of distinguished tech practitioners from local software companies to educational institutions with time before and after for networking over wine and appetizers. Some previous tech talks have been around data analysis – building a classification algorithm, building a free technology product offering, building data stories (for the Seattle Times), understanding social media analytics and understanding data security. See below for more information about talks hosted by FWIT.
Security and Privacy for Augmented Reality Systems
Augmented reality (AR) technologies -- which overlay digitally generated information on a user's perception of the real world -- are at the cusp of commercial viability, appearing in platforms like Google Glass, Microsoft HoloLens, and automotive windshields. Though these technologies bring great potential benefits, they also raise unforeseen computer security and privacy risks. In this talk, I will explore the new security and privacy research challenges that arise with AR systems and describe the work our group is doing to tackle those challenges.
Generating Geeks, 101
On January 30, 2016 the White House announced a new initiative: Computer Science For All (#CSforAll). Lauren Bricker will explain why everyone should learn computational thinking in grade school, how we as technologists can support that learning, and how she became a geek generator at Lakeside School in Seattle.
Achieving Maximum Business Impact
Amy Forstrom is a Senior Product Manager at Tableau Software with 15 years of experience in the industry. She is also an instructor of Data Analysis and Data Visualization with the continuing education program at UW. She does not like baseball.
Data + Design
Last year, more than 80 data and design professionals from 14 countries collaboratively wrote a free, 300-page open source e-book to explain data and visualization concepts in simple language. Their goal was to create a conversational, in-depth resource for learning about information design in a world where most data analysts aren’t trained in design, and most designers aren’t experts in math or statistics. The project is ongoing, with volunteer contributors now working on new chapters and translated versions of the book. In this session, Trina will give you the inside scoop on what it was like to coordinate a large open source writing project on a technical subject matter. We'll also discuss some of the key topics in the book, including core design principles that you should keep in mind when building data-driven stories.
Understanding Feature Space in Machine Learning -- Video lecture
Machine learning derives mathematical models from raw data. In the model building process, raw data is first processed into "features," then the features are given to algorithms to train a model. The process of turning raw data into features is sometimes called feature engineering, and it is a crucial step in model building. Good features lead to successful models with a lot of predictive power; bad features lead to a lot of headache and nowhere. This talk aims to help the audience understand what is a feature space and why it is so important. We will go through some common feature space representations of English text and discuss what tasks they are suited for and why. Expect lots of pictures, whiteboard drawings and hand-waving. We will exercise our power of imagination to visualize high dimensional feature spaces in our mind's eye.
Product Management: The Next Step in Your Technology Career?
You love your job as a techie, and... you're intrigued by the business side of your company; you wonder how marketing works; you'd like to be closer to actual customer conversations. Maybe - just maybe - you want to someday start a business of your own! In this session, we'll explore how the role of product management can leverage your technical know-how and be a stepping stone to achieving your professional vision.
From Physical to Digital
Martina Welke will explore the design challenges and key learnings gleaned from transitioning her company, Zealyst, from an events service to a data-driven digital application.
Behavioral Product Design
The internet is a powerful force for changing behaviors and yet we often design our products without thinking about the basic human motivations that drive the behaviors we are looking to disrupt. Behavioral scientist Matt Wallaert will talk about the science behind behavioral design and demonstrate some simple techniques for overcoming our biases and creating behavior changing products.
Visual Analysis Best Practices
Are you doing the most for your data? Learn about the cycle of visual analysis and some of the best practices for communicating with data. Then put it all into action in a fun, interactive session: Extreme Makeover: Viz Edition See how to turn a good viz into a great viz! Participate in making use of visual best practices to turn confusing chart junk into works of analytical art.
A/B Testing Framework: Build or Buy?
A year ago, Redfin realized we needed an A/B testing framework to support our efforts around rapid experimentation and optimization of our web site. The big question: “Do we use a service or do we build our own?” In this talk, we'll show you how we evaluated our options and share how the system we use now is performing in the real world.
The good, the bad, and the ugly truth about hacking: What you should know about hardware, software & wetware security
What do Target, the Federal Reserve, Neiman Marcus, Sarah Palin and Yahoo all have in common? As you know, they’ve all been hacked. In this session we’ll cover why hardware and software security has grown into $67 billon dollar market that’s on track to being $87 billion in 2016. We’ll trace the anatomy of a hack and discuss attack surfaces, exploits, social engineering, and zero-day disclosures.
Visualizing Social Data
Tired of looking at the same old social media metrics from Facebook, Twitter and YouTube? Ready to punch the next person who asks you how to measure the impact of social media? It’s time for a new way of presenting social data. By blending multiple data sources—data from social media, online advertising, events, sales, and more—and visualizing the results in an interactive data dashboard, you can tell a unique, compelling and actionable story about your brand’s social media. This talk will discuss why data visualization is so impactful, review best practices for presenting data visually, and walk through the process of visualizing and blending social data, using real-world examples.
Launching a new consumer online service: Tableau Public
More than three years ago, Tableau had a big vision: what if we put our technology online, for anyone, for free? And so was launched Tableau Public, a free product that lets journalists and bloggers analyze public data. In this session we'll go under the hood with Tableau Public, looking at how to bring out a new product in an established product company, to how to get early usage from beta adoption, to how to learn to run a cloud service. We'll look at what we thought would happen and what really did happen.