There are a bevy of digital transformation technologies and tools emerging and evolving fast in the recent past in order to fulfill the digital life dream. The strategically imperative combination of edge/fog computing and artificial intelligence (AI) paradigms is being touted as the distinct innovation and disruption for enterprises to visualize and realize next-generation software services and applications. 

This talk is primarily intended to convey the latest trends and transitions happening in the edge/fog computing space, artificial intelligence(AI), the Internet of Things (IoT), block chain, digital twins, 5G, real-time and streaming data analytics, industry 4.5 vision, edge device monitoring, automated edge application deployment, governance, orchestration and management, etc.  There are AI chips exclusively to be used in edge devices to accelerate intelligent processing at edge. There are AI toolkits and platforms for facilitating edge intelligence. The proposed talk covers all these noteworthy developments in order to accentuate and articulate how the latest improvisations at chip, algorithm, and tool levels come handy in implementing and sustaining the relatively new field of edge AI. The talk also will cover the various industrial use cases such as smart factories, self-driving vehicles, robots-assisted surgeries, etc. out of the delectable technology clusters. 

Edge AI (alternatively termed as intelligent processing at edge, edge intelligence, intelligent edge or intelligence at edge) is being proclaimed as the next-generation technology paradigm to realize real-world intelligent applications and services for accelerating, augmenting and automating most of the industrial as well as people activities in real time. Capturing, cleansing and crunching edge device data in real-time can bring forth a number of real-time applications. Further on, with the increased usage of data analytics and AI toolkits in edge devices, business houses and commoners can gain hitherto unknown, sophisticated and situation-aware services. 

1. The prominent topics to be discussed include
2. Edge/Fog Computing
3. The formation of Edge Device Clusters/Clouds
4. Simplifying Edge Data Analytics
5. 5G for Edge Computing
6. The Emergence of AI-centric Chipsets
7. Running AI Algorithms on Edge Devices
8. Some Prominent Industry Use Cases using Edge AI