Standard Insurance Tower Atrium (900 SW 5th)

Join us for an introduction to use of Open Source (OS) software in the enterprise. We will learn:

What is OS software? - Benefits and risks of using OS software - Types of OS licenses, which licenses are business-friendly, and how they apply to various use cases - Basics of OS compliance and risk management in the enterprise - Tools for automating compliance

About the Speaker

Joanna Lee is a tech-focused attorney (and geek at heart) at the law firm of Gesmer Updegrove LLP, where she advises tech companies, open source software foundations, and technology standards consortia.

Schedule

8:30 – 9:00 – Snacks and warm-up 9:00 – 10:30 – Presentation Standard Insurance Tower Atrium (900 SW 5th, please note Standard Ins. has multiple downtown locations)

Cost

Free for members (including ALL employees of corporate members) $15 for non-members $5 for students with valid student ID

Presented by Joachim Rahmfeld, Ph.D Lecturer at UC Berkeley

Today’s vast volumes of language-based, unstructured, electronic data found in various form factors such as blogs, email, social media, or web sites, promises competitive advantages for those who can extract business-relevant information most effectively and efficiently. Natural Language Processing (NLP) holds the key in leveraging this type of data in order to answer and respond to important questions such as, “What is the perception of my company in the Twittersphere?”, “Are these reviews largely positive or negative?”, “What is the translation of this in Spanish?”, “This document has the answer to my question somewhere… but where?”, “Are these products similar?”

Particularly over the last five years, revolutionary advances in NLP-related Deep Learning algorithms combined with dramatically increased compute resources have created unprecedented opportunities to not only answer natural language questions with greater accuracy and speed, but often also while requiring significantly less training data.

In this session, we will provide an overview of these advances and how you can make use of them. A particular focus will be transfer learning where large, pretrained models, such as Google’s BERT model, can be leveraged for a broad set of NLP use cases delivering excellent results, and enabling you to answer questions that were not possible to answer just a few years ago.

So this is a great time to learn about recent NLP developments and go through explicit examples.

About the Speaker

Joachim started his career in theoretical physics before leaving academia and joining the IT industry. For over a decade, he held various leadership positions in professional services, business development and sales at Sun Microsystems, VMware, and Hitachi Data Systems. In 2015, Joachim returned to his quantitative roots and obtained a Master of Information and Data Science from UC Berkeley. Most recently, Joachim managed a Data Science research team at Edison Software. He currently lectures at UC Berkeley on Natural Language Processing with Deep learning and is working on various NLP projects.

When

Sept 19th, 2019 (Chapter meetings held on third Thursday of the month)

Schedule

8:30 – 9:00 am – Sign In 9:00 – 10:15 am – Presentation 10:15 – 10:30 am – Break, Chapter Announcements 10:30 – 11:30 am – Presentation continued

Standard Insurance Tower Atrium (900 SW 5th, please note Standard Ins. has multiple downtown locations)

Cost

Free for members (including ALL employees of corporate members) $15 for non-members $5 for students with valid student ID

Standard Insurance Center, 900 SW 5th Ave, Portland, OR 97204, USA

Presented by John Stephens, CISSP Managing Partner, Luminant Digital Security Data Management from a Penetration Tester’s Perspective – Zero Trust and Compliance

It’s pretty much a daily occurrence where we hear some vulnerability or hack or about this or that breach, resulting in information disclosure on what seems increasingly to be hundreds of thousands or millions of records. And if that wasn’t enough, it’s become a regular occurrence where we hear about how some city opted to pay hundreds of thousands of dollars in ransom. Now, we could spend all day talking about all the things that went wrong to get to this point. That could include security patching, application development, system configuration, etc. One item that’s often overlooked is Data Management and its impact on security. In nearly every hack or breach, the ultimate goal of the attacker is to get to the data so it can be monetized. So how you manage the data is critical.

This presentation is designed to give you insight into how attacks are executed, the tools and tricks the attackers use, and how data management can play a role in minimizing the damage when a breach occurs, or perhaps stopping it altogether. This effort can be significantly enhanced by adopting a zero trust approach with data access and backups. It can be significantly hindered by checklist “compliance” efforts that are not grounded in secure best practices. We’ll talk about these items based on observations and experience during actual Penetration Tests, so you can hear firsthand how data management can play a role in securing your data.

When

July 18th, 2019 (Chapter meetings held on third Thursday of the month)

Schedule

8:30 – 9:00 am – Sign In 9:00 – 10:15 am – Presentation 10:15 – 10:30 am – Break, Chapter Announcements 10:30 – 11:30 am – Presentation continued