Just as the emergence of steam engines and the telegraph changed the world during the industrial revolution, artificial intelligence technologies such as machine learning are reinventing the way we live and work. Engineers and organizations alike must adapt or risk becoming obsolete.
Machinery.ai is a community and event series where developers come together to explore the digital machinery of the new era.
At our upcoming conference, experience a day of learning from industry experts to look “under the hood” at the building blocks of machine learning.
Modev is committed to creating diverse and inclusive events and encourages people to participate regardless of gender identity or expression, age, family or marital status, national origin, physical and mental ability, race, ethnicity, religion, socio-economic status, veteran status, or sexual orientation. We believe the best events are ones where all types of people feel welcome and included, and are represented in both the audience and the speakers. Please join us!
An engineering leader with a track record of growing teams who execute and innovate. Passionate about building well-rounded, poly-skilled engineers who have a customer backed delivery mindset. And one bad ass Jedi.
Cheryl Ingram PhD is an inspiring, innovative, solutions oriented, thought leader and practitioner of Diversity and Inclusion. Her passion for equity and equality ignited her current career path as the CEO and Founder of Diverse City LLC, a diversity and inc. Diverse City LLC specializes in diversity and inclusion consulting. She is also a Founder of a new technology company, DAIPE (Diversity and Inclusion Performance Engager), that is in the process of launching.
Recently, Diverse City LLC was selected as a finalist in the Greater Seattle Business Associations, “New Business of the Year Award” after just four months of being in business. In 8 months, she has secured partnerships that approach multiples axes including but not limited to institutionalized racism, sexism, employee engagement, and recruitment and retention. She has been training and coaching in the area of diversity and inclusion for 15 years for organizations such as the Families and Youth Incorporated, University of Washington, Ada Developers Academy, Highline Public Schools and the Greater Seattle Business Association.
In 3 ½ years Cheryl earned her Doctorate of Education with a specialization in Multicultural Studies at New Mexico State University. In relation to her passionate career, she currently serves on the Board of Directors for Un-loop a national technical training program that addresses recidivism in prisons throughout Washington State.
Ashish Bansal a Senior Director of Data Science Products at Capital One where he builds data products using machine learning and data science to power new customer experiences. Prior to Capital One, he co-founded GALE Partners and led development of machine learning based marketing automation products, growing the team from 9 to 120 in under 2 years.
He has over 18 years of experience in the technology consulting and digital marketing industry, along with an MBA from Kellogg School of Management and B Tech from IIT BHU.
Miro Enev is a Deep Learning Sr. Solutions Architect with NVIDIA, specializing in advancing data science and machine intelligence. He is part of the team focused on industrial IoT, supports cloud strategic partners, and helps clients in the PacNW apply the latest AI research to their business challenges. Miro studied Cognitive Science and Computer Science as an undergraduate at UC Berkeley. He also holds a Ph.D. from the University of Washington’s Computer Science and Engineering Department where his thesis was on Machine Learning Applications in Emerging Sensor Contexts.
David Lewis is from Seattle, Washington and has contributed to the Seattle Weekly, the Stranger, and Blackpast.org, the internet's leading source for African-American history. In addition to writing he also does film work including the upcoming television pilot Fantasy A Get's Jacked, which he wrote, directed, and acted in.
Join this lecture to understand the core concepts of deep learning and how to start a deep learning project. In this talk, you will learn the basics of neural networks, the components of a successful deep learning project, how to select a deep learning framework, and which NVIDIA deep learning software, hardware, and educational offerings are available to you. Pre-Requisites: This lecture is open to all non-technical and technical attendees.
A lot of discussion and material is on the how of machine learning. This talk focusses on the why and what of machine learning. Ashish will present his experiences with deploying multiple ML apps in production, and talk about how to think and structure machine learning problems.
Deep learning is giving machines near-human levels of visual recognition capabilities and disrupting many applications by replacing hand-coded software with predictive models learned directly from data. This hands-on lab introduces the machine learning workflow and provides hands-on experience with using deep neural networks (DNN) to solve a real-world image classification problem. You will walk through the process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance. You will also see the benefits of GPU acceleration in the model training process. On completion of this lab you will have the knowledge to use NVIDIA DIGITS to train a DNN on your own image classification dataset. Pre-Requisites: This hands-on lab is recommended for a technical audience i.e. developers, data scientists, engineers, and researchers.
CONVERSATION.ONE is an omnichannel platform for building conversational solutions that leverages machine learning (ML) algorithm to constantly improve conversational dictionaries and build an enriched, fluent and natural correspondence using any device whilst maximizing the user’s communication.The platform enables organizations to build and publish their Alexa Skills, Google Home Actions, FB messenger bots and intelligent assistants in one single process. CONVERSATION.ONE is based on a machine learning system, that is constantly building, enhancing and improving conversations between the end users and the different conversational devices and services by building a continuous feedback and learning cycle between businesses and end-users that grows independently based on market needs.
Presentation on the experience of integrating data science into Manzama's legacy products to show value along the way to developing an entirely new product.
Machine Learning is becoming more and more ubiquitous, especially as a solution for solving big data problems. Neeti Gupta, the Partner Marketing Director at Healthcare Digital in Seattle, will walk us through two important questions:
1. Is Machine Learning the best solution for the problem I am trying to solve?
2. If so, how do I build a business case for it?
And for those of you wanting to learn more about machine learning use cases, Neeti will also share with us some tips and resources to get you started.
Artificial intelligence is already re-shaping our world. How do we ensure that we are programming it to create a bright future that is equitable for all? How do we know if we’re accidentally perpetuating some of the same patterns of inequities that we see today? Can computers help us outsmart some our own biases? This panel will explore the exciting and timely frontier where AI and equity work intersect.
From educational conferences to holiday galas and immersive themed events, prominent organizations such as Microsoft, Tableau Software, Facebook, and the Bill and Melinda Gates Foundation entrust Fremont Foundry to provide support and resources their planners need to execute successful events. Our unconventional facility is retrofitted with modern technology, and offers convenient in house amenities that supplement ease of production. The building’s industrial character and its historic past will surely be a topic of conversation among your guests and add appeal to any activity within its walls.