Internet of Things Developers Conference - Resolving the Technical and Business Challenges of Getting Connected to Internet of Things

2017 AGENDA


April 26th - Mission City Ballroom, Santa Clara Convention Center
Registration / Badge pick-up:8:00am - 6:30pm
Conference Sessions: 9:00am - 5:00pm
Exhibition / Product Demos11:45am - 6:30pm
Networking Reception 5:00pm - 6:30pm

April 27th
Registration / Badge pick-up: 8:00am - 4:00pm
Conference Sessions: 8:30am - 4:30pm
Exhibition / Product Demos 10:00am - 2:30pm

The Agenda is subject to change -
Day 1  -  Day 2
Day 1: Wednesday -- April 26, 2017
Keynotes and Headliners
09:00 - 09:30 General Remarks and Specific Comments About IoT and ML more»
EEMBC
09:30 - 10:00 Shifting the IoT Mindset from Security to Trust more»
Mocana
10:05 - 10:35 Zero Touch Device Onboarding for IoT more»
Intel
10:35 - 11:00 Morning Break
11:00 - 11:30 Perception, Deep Learning and Autonomous Driving more»
DeepScale
11:35 - 12:05 AI and Deep Learning in the Enterprise more»
IBM
12:05 - 13:30 Exhibits and Lunch
Deus ex MachinaIoT Dev Strategies
13:35 - 14:00 Powering a Bold New IoT Conversation more»
Greenwave Systems
How to Save the Smart Home from Cyber Invasion more»
prpl Foundation
14:05 - 14:30 Extracting Intelligence from IoT Data using Deep Neural Networks more»
Pluto AI
Makeup of an Ideal Secured IoT Device more»
CENTRI Technology
14:35 - 15:00 Taming the Urban Jungle: A Story of Practical IoT Development more»
IBM
Why are 70% of IoT Projects Stuck in PoC Purgatory? more»
Electric Imp
15:05 - 15:30 You Say You Want AI Revolution? more»
TIRIAS Research
Bluetooth and Beyond more»
Plantronics
15:35 - 16:00 Semiconductors Rule! -- From Devices to Networks to Data Centers more»
GLOBALFOUNDRIES
Build Moving Experiences more»
Uber
16:05 - 17:00 Panel: IoT and ML: Killer Apps or Kill the Hype more»
17:00 - 18:30 Networking Reception - Sponsored by Extension Media


Day 2: Thursday -- April 27, 2017
Machine Learning Adventures
08:30 - 08:55 How to Identify the Value in the Data and why Right Quality is Crucial more»
sepp.med
09:00 - 09:25 Challenges of Industrial Data Science from Digital Industrial perspective more»
GENERAL ELECTRIC - General Electric
09:30 - 10:25 Creating Smart Cars with Machine Learning more»
ThingWorx
10:30 - 10:50 Morning Break
10:55 - 11:20 Image Front End Real-Time Data Analytics more»
TOPS Systems Corp.
11:25 - 11:50 Solving the challenges of implementing deep learning efficiently whether it's edge or cloud or in between more»
Xilinx
11:55 - 12:20 Overcoming the Memory System Challenge in Dataflow Processing more»
Wave Computing - Sonics, Inc.
13:30 - 13:55 How GPU Server Architectures Deliver Best Performance for Deep Learning Training Workloads & HPC Customers more»
Super Micro Computer - Supermicro
14:00 - 14:25 Bringing GPU Accelerated Deep Learning to Edge Devices in Easy Way more»
Toradex Inc
14:30 - 14:55 Machine Learning Applications in the Embedded Space more»
aicas
15:00 - 15:25 Low Power Solutions for On-Device AI: Always On, Always Learning more»
Lattice Semiconductor
15:30 - 15:55 Machine Learning on IoT Edge Nodes for Energy Efficient Data Processing more»
ARM
16:00 - 16:25 Energy forecasting using ML techniques on smart meters more»
Flex