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.

Registration will be available soon! 

AGENDA
TUESDAY, JANUARY 25
 

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: Editorial Keynote
11:15AM-11:30AM: Partner Keynote
11:30AM-11:45AM: Tech Talk
11:45AM-12:30PM: Panel Discussion

AGENDA
WEDNESDAY, JANUARY 26
 

11:00AM-12:30PM 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?

11:00AM-11:15AM: Editorial Keynote
11:15AM-11:30AM: Partner Keynote
11:30AM-11:45AM: Tech Talk
11:45AM-12:30PM: Panel Discussion

AGENDA
THURSDAY, JANUARY 27
 

11:00AM-12:30PM 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 or 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 that in security are being used?

11:00AM-11:15AM: Editorial Keynote
11:15AM-11:30AM: Partner Keynote
11:30AM-11:45AM: Tech Talk
11:45AM-12:30PM: Panel Discussion