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With Sarah Catanzaro (Canvas Ventures), Inga Chen (Product Mgr, Squarespace), Ronnie Falcon (Product Mgr, Google Local Discovery), Amy Kim (Sr Product Mgr, Clarifai), Carla Kochalski (Sr Product Mgr Intelligent Assistants, Capital One).
Thu, Jul 27, 2017 @ 06:30 PM   $10   Squarespace, 8 Clarkson St
 
   
 
 
              

      
 
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<P><SPAN><STRONG STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px;"><SPAN STYLE="font-size: medium;">Description</SPAN></STRONG></SPAN></P>
<P><SPAN>How do you effectively build & ship a machine learning product?</SPAN></P>
<P><SPAN STYLE="font-size: small;">The trends of big data & cost-effective computing power have given way to an unprecedented focus on developing machine learning algorithms & open source tools, making machine learning more accessible & powerful today than ever.</SPAN></P>
<P><SPAN STYLE="font-size: small;">But building machine learning products is about much more than picking the right algorithm or library. Product managers are vital in not only choosing the right problems to solve, but also shipping solutions that provide a great user experience & foster user trust.</SPAN></P>
<P><SPAN STYLE="font-size: small;">At this event, well explore questions such as:</SPAN></P>
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<P><SPAN STYLE="font-size: small;">What problems are good problems for machine learning to solve?</SPAN></P>
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<P><SPAN STYLE="font-size: small;">What baseline machine learning concepts do you need to know as a PM, & what answers should you bring to the table?</SPAN></P>
</LI>
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<P><SPAN STYLE="font-size: small;">What are some common pitfalls to look out for?</SPAN></P>
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<P><SPAN STYLE="font-size: small;">How do you measure success, of both the model & the feature?</SPAN></P>
</LI>
</UL>
<P><SPAN STYLE="font-size: small;">Hear from experts on the best practices & challenges of shipping ML products across a variety of consumer & enterprise applications.</SPAN></P>
<P><SPAN STYLE="font-size: small;">This talk is for product managers & leaders who are interested in or actively working on machine learning-enabled products. You will walk away with a well-rounded overview of what it takes to build these products & where to go to learn more.</SPAN></P>
<P><SPAN STYLE="font-size: medium;"><STRONG>Speakers</STRONG></SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><STRONG>Sarah Catanzaro</STRONG> is an investor at Canvas Ventures, where she focuses on analytics, data infrastructure, & machine intelligence. Sarah has co-led Canvas's investments in Fluxx, Platform9, & Kinetica. </SPAN><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;">Sarah has several years of experience in developing data acquisition strategies & leading machine & deep learning-enabled product development at organizations of various sizes. Most recently, she led the Data team at Mattermark to collect & organize information on over one million private companies. Previously, she implemented analytics solutions for municipal & federal agencies as a consultant at Palantir & as an analyst at Cyveillance. She also led projects on adversary behavioral modeling & Somali pirate network analysis as a program manager at the Center for Advanced Defense Studies. </SPAN><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;">Sarah earned a B.A. in International Security Studies from Stanford University.</SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><IMG ALT="Sarah Catanzaro" HEIGHT="199" WIDTH="219" SRC="https://s.evbuc.com/https_proxy?url=http%3A%2F%2Fwww.canvas.ventures%2Fwp-content%2Fuploads%2FSarahCatanzaro-right.jpg&sig=ADR2i78N3R23h6HuOpjUS8HfIV78BsZ0FA"></SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><STRONG><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;">Inga Chen </SPAN></STRONG><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;">is a Product Manager at Squarespace leading the user-facing analytics team, which turns data into actionable insights to help Squarespace's millions of website owners make better business decisions. Previously, Inga was a Product Manager of Data Insights & Fleet Telematics at Automatic Labs, a connected car startup leveraging machine learning & data science to empower drivers with knowledge about their driving behavior & car health. Prior to Automatic, Inga was a technology investment banker at Jefferies. She holds bachelor's degrees in Environmental Economics & Policy & Technology, Energy & Society from UC Berkeley.</SPAN></SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><IMG ALT="Inga Chen" SRC="https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAl0AAAAJDFkZjc4NTJhLWJmZDAtNDk0MS1hMzY2LTIzYWQzY2I0MzFlMg.jpg" HEIGHT="217" WIDTH="217"></SPAN></SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><STRONG>Ronnie Falcon</STRONG> <SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;">is a Product Manager at Google Local Discovery, innovating new & exciting ways to connect people with real world experiences. By working for a company that is a leader in Machine Learning technologies, Ronnie is leading several ML based products from design through evaluation, scale & launch. Ronnie has a degree in Computer Engineering from Imperial College in London, a graduate of the Associate Product Managers program at Google & has an extensive previous background in developing data centered products like YouTube Analytics.</SPAN></SPAN><BR STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><IMG ALT="Ronnie Falcon from Google" SRC="https://cdn.evbuc.com/eventlogos/179271256/image20170629at10.52.35am.jpg" HEIGHT="214" WIDTH="214"></SPAN></P>
<P><STRONG>Elsie Kenyon</STRONG>helps lead product management at Nara Logics, an AI platform company. She works with enterprise customers to define product needs & with engineers to define implementations that address them, focusing on data processing & machine learning. Previously, Elsie was a researcher at Harvard Business School, coauthoring several cases. She holds a BA from Yale University.</P>
<P><IMG ALT="Elsie Kenyon from Nara Logics" SRC="https://cdn.evbuc.com/eventlogos/179271256/elsiekenyonheadshot.jpg" HEIGHT="208" WIDTH="216"></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><STRONG>Amy Soyeon Kim</STRONG> is a Senior Product Manager at Clarifai, a machine learning computer vision platform for developers & enterprises. At Clarifai, Amy focuses on building a platform that allows everyone to easily access the machine learning technology Clarifai has built to-date. </SPAN><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;">Prior to joining Clarifai, Amy founded an early stage startup Miscellaneous Mischief, where she ideated, built, shipped, & grew 7 consumer-facing products including Toothpick, Wingman & Squad. Amy is also the founder Verte(x), a community of women bonding & growing together by building strong offline relationships. Prior to the startup grind, Amy started her career in investment banking at Deutsche Bank.</SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><IMG ALT="Amy Kim" SRC="https://pbs.twimg.com/profile_images/748531107172388864/xl21uf1W_400x400.jpg" HEIGHT="213" WIDTH="213"></SPAN></P>
<P><SPAN STYLE="font-family: arial, sans, sans-serif; font-size: 13px; white-space: pre-wrap;"><STRONG>Carla Saavedra Kochalsk</STRONG>i is a Senior Product Manager of Intelligent Assistants at Capital One where she leads the team responsible for building Eno, the first SMS-based chatbot launched by a U.S. Bank. Carla is passionate about creating experiences that fit within customers lives. Previously, she led the creation of social media products at the company, where she built & led social intelligence, the peer-to-peer community, & social customer experience for the enterprise. She also led digital & social media strategy for Samsung Mobile USA. Carla also has experience in social media servicing, digital marketing, & journalism. She has an MBA from the Georgetown McDonough School of Business. </SPAN></P>
<P>This event is brought to you by Women in Product & Squarespace. <A HREF="http://www.womenpm.org/" TARGET="_blank" REL="noopener nofollow noopener noreferrer nofollow noreferrer nofollow">Women in Product</A>is a highly-engaged community of women builders <SPAN STYLE="font-family: arial, helvetica, sans-serif;">and</SPAN> leaders. Join our <A HREF="https://www.facebook.com/womeninproduct/" REL="nofollow">community</A> or sign up for our <A HREF="http://www.womenpm.org/sign-up/" REL="nofollow">newsletter</A> for monthly events, networking opportunities, & much more! Our second annual conference registration is open, <A HREF="https://nvite.com/WIP2017/f3b1" TARGET="_blank" REL="noopener nofollow noopener noreferrer nofollow noreferrer nofollow">get your ticket</A>before they are sold out.<IMG STYLE="display: block; margin-left: auto; margin-right: auto;" ALT="Women in Product logo" SRC="https://cdn.evbuc.com/eventlogos/179271256/13458619101536113810506865611623189954088349o28229-1.jpg" HEIGHT="208" WIDTH="208"><SPAN STYLE="font-size: small;"><SPAN STYLE="font-family: arial, helvetica, sans-serif;"><SPAN STYLE="background-color: transparent; vertical-align: baseline; white-space: pre-wrap;"><A HREF="https://www.squarespace.com/" TARGET="_blank" REL="noopener nofollow noopener noreferrer nofollow noreferrer nofollow">Squarespace</A> makes beautiful products to help people with creative ideas succeed. As a SaaS-based CMS platform, Squarespace offers DIY tools for creating & managing websites, online stores, & domains. Squarespace was founded in 2003 & has a team of more than 600 headquartered in downtown New York City, with offices in Dublin & Portland. <A HREF="https://www.squarespace.com/about/careers" TARGET="_blank" REL="noopener nofollow noopener noreferrer nofollow noreferrer nofollow">Squarespace is hiring</A></SPAN></SPAN><SPAN STYLE="font-family: 'Proxima Nova'; background-color: transparent; vertical-align: baseline; white-space: pre-wrap;"><SPAN STYLE="font-family: arial, helvetica, sans-serif;">.</SPAN> </SPAN></SPAN></P>
<P><SPAN STYLE="font-size: small;"><SPAN STYLE="font-family: 'Proxima Nova'; background-color: transparent; vertical-align: baseline; white-space: pre-wrap;"><IMG STYLE="display: block; margin-left: auto; margin-right: auto;" ALT="Squarespace logo" SRC="https://cdn.evbuc.com/eventlogos/179271256/squarespacelogostackedblack.jpg" HEIGHT="185" WIDTH="223"></SPAN></SPAN></P>
 
 
 
 
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