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Edge AI Summit 2021
15-18 Nov 2021
VIRTUAL
The opportunity of Edge AI is clear - it is bringing real-time, personalized, scalable, and secure AI to resource constrained devices, unlocking the next wave of intelligent devices.Optimizing AI performance whilst operating economically at the edge remains the elusive holy grail. For four years, the Edge AI Summit has aided enterprise adopters, OEMs, AI software, and hardware providers in their pursuit of deploying AI at the edge, by helping them form partnerships that will improve the performance of embedded hardware, optimize models, and compress workloads to enable high-performing and low-footprint AI to exist at the edge.The 4th Annual Edge AI Summit (November 15-18, virtually) unites the technologists from around the world tasked with designing and developing real-world use cases that bring real-time and secure AI to low-power applications from the sensor-edge to device-edge, and to areas that have limited connectivity to the cloud.
 
Edge AI Summit 2020
18-20 Nov 2020
VIRTUAL SUMMIT | PDT Timezone
A 2020 report by Frost & Sullivan stated that 90% of industrial enterprises will be utilising edge computing by 2022. The value of the data that can be gleaned from intelligence ‘in the field’ is clear, but the current limitations of low power, on-device compute, data management and processing across the edge computing landscape continue to pose multiple engineering challenges. We’re thrilled to announce the agenda for the 3rd annual Edge AI Summit, which was the first ever dedicated summit focused on deploying machine learning on devices, and on the network infrastructure that supports the intelligent IoT. This year is all about Edge AI case studies! From ultra-low-power microwatt applications at the ‘sensor edge’, to larger milliwatt examples at the ‘device edge’ up to the non-power constrained ‘server-network edge’; we’ll be gathering a global audience (virtually!) to explore the most innovative real-world use cases of hardware and software facilitating AI at the Edge with examples from Uber AI, Google, Bosch, Magic Leap, Rakuten and many more…
 
Corporate Renewables 2020
14-16 Jul 2020
VIRTUAL SUMMIT | BST Timezone
Shareholders, employees, customers and a wide range of stakeholders require corporates to show a tangible, impactful commitment to renewable energy. As global energy usage and needs are re-defined by these groups, corporates are increasingly focused on reducing their environmental footprint and securing lower energy costs.  Corporate PPAs enable companies to achieve their carbon emission reduction goals and are gaining momentum globally.What’s on everybody’s mind now is the impact of Covid-19 on power prices and on existing and future contracts. What is happening with corporate green agendas and demand, what state bail-out/support packages are available in Europe and how are buyers, generators and investors responding?This brings us to launch Corporate renewables 2020 Virtual Summit. The size and frequency of deals have increased quickly in recent years to more complex and innovative buyer consortia, VFA and proxy swap agreements. However, in Europe the business model for PPAs is yet to reach its potential. The total volume of corporate renewable PPAs signed in Europe in 2018 amassed to 1.9 GW while in the States it reached 8.5 GW.You’ll delve deep into European inter-connectedness and regulation, risk mitigation and creating strong partnerships between the procurer and generator. You’ll also analyse emerging contracts and the financial and operational benefits they offer corporates. The collegial discussion promotes transparent free flowing discussions in an informal setting and under strict Chatham House Rules.
 
Edge AI Summit 2019
20-21 Nov 2019
COMPUTER HISTORY MUSEUM, MOUNTAIN VIEW, CA
Limitations of cloud-based AI, such as latency, power consumption, security and cost, have become bottlenecks for the deployment of AI products and services in environments close to data sources. The Edge AI Summit focuses on the challenges of disaggregating AI processing across the edge computing paradigm, from cloud to device via localized ‘fog’ compute nodes near the network edge. Themes for this year’s summit focus on challenges such as embedding tiny machine learning models on battery-powered devices, using AI for network slicing, applying machine learning to streaming data, and deploying cohesive infrastructure to empower developers to build AI software for the edge. The Edge AI Summit attracted 150+ technology leaders from across the globe in December 2018, and returns this November for tech companies, device manufacturers and enterprises who are deploying machine learning to the edge.
 
Autonomous Vehicle Hardware Summit
27 Mar 2019
Silicon Valley, CA
The Autonomous Vehicle Hardware Summit is the first and only conference focusing solely on architectural and engineering challenges for silicon, sensors and systems in autonomous vehicles. The automotive electronics industry will grow to $280 billion by 2020, and will likely look very different, as new entrants such as NVIDIA enter the space with new autonomous driving solutions and advanced-node AI accelerators. Many new entrants have little to no experience of the automotive industry’s stringent functional safety requirements, while testing and simulation methodologies for semiconductor products are meeting with skepticism from auto OEMs and their suppliers.To control the automated driving value chain a knowledge of hardware is crucial – the hardware architectures of Level 3, 4 & 5 AVs, often termed ‘super computers on wheels’, will be fundamental to the ultimate effectiveness and cost of the vehicle, and the overall quality of the user experience. The AV Hardware Summit will bring together 150+ tech and auto leaders to help overcome these challenges and pave the way for the next generation of driverless cars.
 
Edge AI Summit
11 Dec 2018
San Francisco, USA
Data has gravity.It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected. Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture.The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging.The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe. This event is intended for Senior Director/VP-level attendees and above, and is a high-level networking and business development meeting, with content tracks focusing on both business and technology.
 
12-13 Dec 2017
Bengaluru, India
The RPA and Cognitive Congress is India’s first deep-dive RPA and Cognitive automation conference. This event follows on from two successful events earlier this year in London and Orlando, attracting 120+ leading executives in service delivery.
 
Nordic RPA and Cognitive Congress
10-11 Oct 2017
Stockholm, Sweden
The Nordic Robotic Process Automation & Cognitive Congress will examine RPA’s transformational impact as a digital tool for back office processing. The content of our two-day congress details case studies from leading organizations globally and addresses how these businesses have effectively utilized RPA as a means to improve service delivery, enhance productivity and reduce costs.

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