IoT DevCon is next week - Only a few seats left - Don’t miss out - Register today



Last chance to sign-up to attend the
Internet of Things Developers Conference
Learn the latest on IoT security, connectivity & more
Register today to IoT DevCon 2018. Complete two-day attendance to all keynotes, technical sessions, panel discussions and exhibits, plus lunch (both days), the networking reception and the 2018 conference proceedings for only $595. You will also gain complete access to the new Machine Learning & AI DevCon.
IoT DevCon 2018 is only one week away. It is the premier conference devoted to the implementation of IoT technology in embedded systems – from the edge node to the cloud. It has been designed to enable managers, embedded design engineers and system developers to understand and tackle IoT implementation challenges.

This must-attend IoT event delivers:

A unique opportunity to learn about IoT and Machine Learning/AI in one conference
An increased level of realism as the IoT industry has matured considerably over the past 4-5 years
A focus on key areas of IoT development including security and connectivity.
Internet of Things DevCon 2018 Highlights
Targeting the state-of-the-art and practical side of implementing IoT technology in embedded systems
Two full days of keynotes, practical training, and panel discussions focused on the technical and business challenges of getting Things connected to the Internet.
Focused sessions on:
Designing ultra-low power IoT nodes and sensors
Relevant connectivity protocols and industry standards
Building intelligent hubs to harness the data explosion
Software development environments for M2M applications
IoT Gateways
Understanding and managing security-related issues, from the edge to the cloud
How to profit from the Internet of Things
How IoT Technologies are Impacting Key Markets & New Products
What's next for IoT and the intelligent edge
Machine Learning & AI
Speakers from around the World providing insight and understanding
Conference chaired by industry veteran Kevin Krewell
Complimentary access to all Machine Learning & AI DevCon sessions (co-located with IoT DevCon)
35+ leading-edge vendors showcasing and demoing cutting-edge products and techniques
Conveniently located at the Santa Clara Convention Center with free parking
Networking reception and catered lunches will allow you to connect with professionals from industry, academia, and the investment community
Visionary Keynotes and Strategic Talks Include:
Edge Computing Revolution
Geoff Lees, Sr. Vice President and General Manager Microcontrollers, NXP
Surviving the IoT Device Security Wild West
Asaf Shen, VP Business Development-IoT Device IP, Arm
Wireless Connectivity (IoT)
Testing Challenges & Considerations
Tony Opferman, Business Development Manager, Rohde & Schwarz

Secure Your IoT Design
from Node to Cloud
Jeannette Wilson, Marketing Manager, Computing Products, Microchip Technology
Future of IoT Simulation: Internet of Virtual Things
Anand Kameswaran, CEO, knowthings.io (CA Technologies)
Heavyweight Security For a
Lightweight, Low-Power World

Mike Mackey, CTO, CENTRI Technology
Cryptographic Keys are the Vaccine for the IoT
Rod Schultz, Chief Product Officer, Rubicon Labs

Machine Learning at the Edge
Markus Levy, Director of Enabling Technologies, NXP

Update on the Developments in Machine Learning, AI and IoT
Kevin Krewell, Principal Analyst - TIRIAS Research
The Future of IoT from a Venture Capital Perspective
Vinay Iyengar, Investor, Bessemer Venture Partners

Low Power WiFi for IoT Devices
Uri Weinrib, System Architect, Texas Instruments

Inside the Mind of a Hacker: Knowledge is IoT Security Power
Mark Hearn, Cloakware by Irdeto
  IoT Security & Power
•  
Measuring Battery Life in IoT Devices
•  
Low Power WiFi for IoT Devices
•  
Heavyweight Security For a Lightweight, Low-Power World
•  
Secure Your IoT Design from Node to Cloud
•  
Cryptographic Keys are the Vaccine for the IoT
•  
Inside the Mind of a Hacker: Knowledge is IoT Security Power


  
Securing IoT
•  
Securing your Connected Devices
•  
Democratizing Security in IoT Devices: How any OEM can Design-In and Manufacture Hardware Based Security in their IoT Devices
•  
Secure Your IoT Application from Design to Deployment
•  
Protect Your IoT Device with Hardware Root of Trust
•  
Internet of Things or Internet of Threats - Whose Responsibility Is It? How Can Any OEM Deliver Secure IoT Devices to the Market?
•  
Digital Twins: The Answer to the IoT Security Conundrum?
•  
Trusted IoT Supply Chain Ecosystem Requires Partnering, Traceability, and Accountability
•  
Security should always start with analysis! How threat modelling can help make your product secure...
•  
Key Requirements for Software Updates for IoT/Connected Devices
•  
The Emerging Era of Cognitive Security


  
Building Solutions for IoT
•  
From Sensors to Cloud: The Case for a Complete Ecosystem for IoT Development.
•  
Advance Wireless Motor Condition Monitoring with Vibration Analysis to Enable IoT Predictive Maintenance
•  
Building for Billions...Next Gen IoT
•  
Arduino Micro-controller and the Future of IoT
•  
Why Sensor Performance Matters
•  
Location Intelligence - Keeping IoT in the Bulls-Eye!


  
Machine Learning for IoT
•  
A Novel Approach: IoT Device Virtualization Using Machine Learning
•  
Developing Machine Learning Solutions for the IoT Edge
•  
AI on the Edge: Don't Forget the Memories
•  
IP Extends IoT Into the Artificial Intelligence World
•  
Machine Learning and IoT, the Opportunity for a Quicker Answer to the Question


  
Machine Learning & AI
•  
How To Build Your Company's AI Strategy
•  
Use of AI Constructr to Bring Advanced MEMS Technologies from Concept to Market
•  
Application-Specific Processors for Deep Learning Acceleration
•  
AI at the Edge, a practical Deep Learning End-to-End Implementation.
•  
Fog based Machine Learning for Industrial IoT
•  
Communications Next
•  
Mixed Signal Machine Learning Outperforms Digital Solutions
•  
Nanometer Size Semiconductors for General and Symbolic Artificial Intelligence
•  
Expanding UX of everyday objects with the power of Voice UI and AI services
•  
Enabling TensorFlow Machine Learning on Arm Processors using Khoronos' SYCL


2018 Sponsors and Participating Companies Include:
PLATINUM SPONSOR
GOLD SPONSORS

SILVER SPONSORS

PubNub
Sequans
BRONZE SPONSORS
Infineon


Mentor Graphics





ADDITIONAL PARTICIPATING COMPANIES INCLUDE

EECatalog
1786 18th St
San Francisco California 94107
United States

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