Shannon Lee, Author at IoT For All

Shannon Lee

Shannon is the Marketing & Communications Director of IoT For All and a Digital Marketing Manager at Leverege. She is also responsible for producing the IoT For All Podcast. She is interested in the intersection of technology and society and dedicated to growing the number of women in the tech industry. Shannon graduated from the University of Maryland with a B.A. in Communications and a B.A. in Sociology.

CES2020: The Rise of AI and Personalized Wellness

From sensors to AI, 5G and the future of mobility, CES 2020 made it clear that partnerships are necessary for how we will build a connected future, personalized wellness is becoming a need to have instead of a nice to have and AI is becoming less of a buzzword and more of an actuality.

The Ultimate Holiday Gift Guide for IoT Enthusiasts

Happy holidays from IoT For All! Here's our holiday gift guide, featuring connected gifts we're sure will delight everyone.

IoTSWC Showcases the Best Startups in the IoT Industry in a New Area: IoT Solutions Font

IoTSWC 2019 will feature a new specific area under the name IoT Solutions. Font will focus on startups with original and innovative IoT, Artificial Intelligence, and Blockchain-based products and services.

Don’t Wait For an Invitation to the Table: Secrets to Success for Women in IoT

In this Women in IoT Interview, President & CEO of eXalt Solutions, Leslie Swanson, asserts that every venture firm should hire a woman entrepreneur-in-residence. For greater diversity in IoT, we must start at the beginning of the value chain with education and the investment community.

Breaking Down Barriers as a Woman in IoT

An interview with VP of IoT Sales at Vodafone, Lisa Uhrmacher, encouraging women to never underestimate the attributes and perspective they bring to the technology industry.

Establishing Your Voice and Presence as a Woman in IoT

Principal UX Designer at Nerdery, Emily Schmittler, discusses how women in IoT can bring perspective and humanity into devices that are cold and data-driven by solving real human problems.