About Embedded Innovation Week

Fierce Electronics is excited to announce the third online Embedded Innovation Week. Through a series of live video round table discussions, fireside chats, tech talks, and keynotes featuring subject matter experts, attendees will be able to access top notch education and insight into the world of embedded technology. With topics including Embedded AI, Edge Computing Considerations, and Security in Connected Devices, it's a must attend for engineers who are looking to get a competitive edge on all of the latest trends and technology that are impacting our industry and the world today.

Register to view On-Demand here

AGENDA
TUESDAY, FEBRUARY 15
 

11:00AM-12:30PM ET:
IMPLICATIONS OF EMBEDDED AI: MACHINE LEARNING, DEEP LEARNING, FACIAL RECOGNITION, AND OTHER PROCESSING

By programming AI at the device level rather than the cloud level, engineers can automate processes right into the devices themselves, generating capabilities like predictive and reactive intelligence. In industrial applications, combining embedded AI with IoT can increase productivity and reduce costs, while in applications like healthcare and smart cities, it can provide advanced analytics. As the technology behind embedded AI continues to evolve, two evolving applications to keep an eye on are embedding AI capabilities onto custom SoCs and Internet-connected devices or IoT. How will embedded AI affect existing software companies? How will IoT benefit from AI? Which industries will embedded AI disrupt in the next 5 to 10 years?

11:00AM-11:15AM: Keynote with Google's Tulsee Doshi
11:15AM-11:30AM: Tech Talk with Renesas' David Robinson
11:30AM-12:15PM: Panel Discussion
12:15PM-12:30PM: Closing Keynote with Edge Impulse's Zach Shelby

AGENDA
TUESDAY, FEBRUARY 15
 

2:00PM-2:45PM ET:
EDGE COMPUTING CONSIDERATIONS FOR EMBEDDED DEVICES

Edge computing has given embedded devices the ability to transfer large amounts of consolidated data through edge nodes at almost real time, while allowing for reduced bandwidth requirements, better privacy and security, and lower latency. However, as smart sensors and embedded devices become more intelligent, the applications for which edge computing technology is being used are becoming more complex. As more data and storage is needed in a shorter amount of time, organizations are looking for the most reliable, cost-effective options to aid their operations. What are the possibilities for embedded devices using edge technology? How do the cloud and edge co-exist most efficiently? What other considerations are there for end users, HW, and SW providers? Energy? Security? Compliance requirements?

2:00PM-2:15PM: Keynote with CSEM's Dr. L Andrea Dunbar
2:15PM-2:30PM: Keynote with MAB-Lab's Mohammed Billoo
2:30PM-2:45PM: Tech Talk with Aspinity's Tom Doyle

AGENDA
WEDNESDAY, FEBRUARY 16
 

11:00AM-12:15PM ET:
THE EVOLUTION OF SECURITY IN CONNECTED DEVICES

Using embedded technology and AI in sectors like automotive, military/defense, robotics, and smart buildings and cities requires a critical level of attention to security. Attacks and mistakes in these areas would cost financial, psychological, and physical damage to society. Because of this, it is crucial not only for networks to be secure, but for design engineers to build in steps to the hardware and software to minimize the risk of error or infiltration. How can engineers, data scientists, and analysts design more resilient platforms? What are some recent advancements in security that are being used?

11:00AM-11:15AM: Keynote with Walgreens' James Odeyinka
11:15AM-11:30AM: Tech Talk with Wind River's Arlen Baker
11:30AM-12:15PM: Panel Discussion