by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Werner Vogels: As Amazon’s CTO, Vogels played a pivotal role in the advent of AWS Lambda, the trailblazing serverless computing platform. His insights provide a macroscopic view of serverless trends and architectures.
Tim Wagner: Recognized as the “father of AWS Lambda,” Wagner’s contributions to serverless are foundational. He continually shares in-depth thoughts on the evolution and future of serverless computing.
Ben Kehoe: As a Cloud Robotics Research Scientist at iRobot and AWS Serverless Hero, Kehoe regularly contributes to discussions on serverless architectures, best practices, and challenges.
Yan Cui: Often known by his moniker “theburningmonk,” Cui is a prominent voice in serverless. He offers courses, writes extensively, and consults on serverless architectures and design patterns.
Sarah Drasner: An expert in serverless and Vue.js, Drasner combines frontend frameworks with serverless backends, exemplifying the full-stack nature of modern applications.
Sam Kroonenburg: As the CEO and co-founder of A Cloud Guru, a leading cloud computing training platform, Kroonenburg oversees extensive content on serverless, ensuring professionals are well-equipped with current knowledge.
Jeremy Daly: An AWS Serverless Hero and the CTO at AlertMe, Daly actively blogs about serverless architectures, best practices, and lessons learned, alongside hosting the Serverless Chats podcast.
Slobodan Stojanović: CTO of Cloud Horizon, Stojanović co-authored “Serverless Applications with Node.js” and frequently speaks on serverless, emphasizing its practical applications and potential.
Forrest Brazeal: A cloud architect and an advocate for serverless, Brazeal’s “Serverless Superheroes” series and contributions to A Cloud Guru offer a mix of technical and strategic insights.
Ant Stanley: As the mind behind “Serverless Days,” a global series of events dedicated to serverless, Stanley fosters a community of enthusiasts and professionals eager to share and learn about the latest in serverless computing.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Satyam Vaghani: As the CTO and co-founder of Pensa, Vaghani’s insights into edge computing intersect with virtualization, AI, and data center orchestration, illuminating the future of edge infrastructure.
Jason Shepherd: As the VP of Ecosystem at edge orchestration company ZEDEDA, Shepherd is a thought leader in edge computing, IoT, and the broader decentralization of IT.
Dr. Tom Bradicich: Leading Hewlett Packard Enterprise‘s (HPE) edge computing initiatives, Dr. Bradicich merges operational technology (OT) with traditional IT, creating new paradigms for edge deployments.
Ines Envid: As a Product Manager at Ericsson, Envid’s work focuses on distributed cloud solutions, emphasizing edge computing’s role in enhancing 5G networks and real-time data processing.
Mahadev Satyanarayanan (Satya): Often referred to as the “father of edge computing,” Satya’s research at Carnegie Mellon University has been foundational for the edge computing field, especially with his early work on “cyber foraging.”
Vicki Chen: As a writer for EdgeIR, Chen’s analyses and articles provide timely updates on the evolving landscape of edge computing, from industry trends to technological breakthroughs.
Jim Fletcher: Strategy Partner at Momenta Partners, Fletcher’s insights into edge computing are grounded in decades of experience in IoT, AI, and strategy, especially during his tenure at IBM.
Gavin Whitechurch: As the founder of Edge Computing Expo and other tech events, Whitechurch plays a pivotal role in bringing together edge computing stakeholders, fostering innovation and collaboration.
Matt Baker: Senior VP at Dell Technologies, Baker’s expertise spans from data strategy to edge computing, providing a holistic view of how edge integrates with broader IT ecosystems.
Liz Cruz: Associate Director and a leading analyst at Navigant Research, Cruz’s reports provide in-depth looks into edge computing’s impact on industries, from energy to manufacturing.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Peter Shor: The MIT mathematician behind Shor’s algorithm, a quantum technique that poses a threat to current encryption systems. Shor’s insights into quantum algorithms are highly influential.
John Preskill: A theoretical physicist at Caltech, Preskill has introduced and clarified numerous concepts in quantum information science. He’s best known for coining the term “quantum supremacy.”
Krysta Svore: As General Manager of Quantum Systems at Microsoft, Svore’s contributions to quantum algorithms and software are crucial. She plays a pivotal role in advancing the Microsoft Quantum Development Kit.
Charlie Bennett: At IBM, Bennett has been foundational in quantum information theory. He’s among the pioneers of quantum cryptography and quantum teleportation.
Monika Schleier-Smith: An associate professor at Stanford, Schleier-Smith’s research on quantum simulations and many-body quantum systems is breaking new ground. She’s known for her novel experiments and interpretations.
Jay Gambetta: An integral figure at IBM’s quantum computing program, Gambetta is at the forefront of building robust quantum systems, working on quantum error correction and noise characterization.
Scott Aaronson: Currently at the University of Texas at Austin, Aaronson’s insights, particularly on computational complexity theory and quantum computing limits, are widely respected. His blog, “Shtetl-Optimized,” is a must-read for enthusiasts.
Dorit Aharonov: At the Hebrew University of Jerusalem, Aharonov’s work on quantum fault tolerance and topological quantum computation stands out, making significant strides in quantum computation and information theories.
Michelle Simmons: A leader at the University of New South Wales, Simmons is spearheading research in quantum physics and silicon-based quantum computers. Her work on quantum dot-based computation is reshaping the quantum hardware landscape.
Will Zeng: As a quantum researcher and entrepreneur, Zeng has been influential in both the academic and business sectors of quantum technology. His insights and leadership help bridge the gap between theory and practical application.
by Ian Khan | Dec 26, 2022 | Ian Khan Blog
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the devices that generate and consume data. This is in contrast to traditional cloud computing, which relies on centralized data centers to process and store data.
The main benefit of edge computing is that it allows for faster processing and data transfer, since the data does not have to be transmitted over long distances to a central server. This is especially important for applications that require low latency or real-time processing, such as virtual and augmented reality, autonomous vehicles, and industrial control systems.
Edge computing is made possible by the proliferation of internet of things (IoT) devices, which are connected devices that can sense, communicate, and process data. These devices generate and consume large amounts of data, and edge computing allows them to process this data locally, rather than sending it all back to a central server.
Edge computing is typically implemented using edge servers, which are small, lightweight servers that are placed at the edge of a network, near the devices that generate and consume data. These servers can be located in a variety of locations, such as on the premises of a business, in a telecom company’s central office, or in a data center.
Edge servers are responsible for processing and storing data locally, as well as transmitting it back to a central server if necessary. They are typically equipped with powerful processors, memory, and storage, and are connected to the network through high-bandwidth links.
In summary, edge computing is a distributed computing paradigm that brings computation and data storage closer to the devices that generate and consume data, allowing for faster processing and data transfer. It is made possible by the proliferation of IoT devices, and is implemented using edge servers, which are small, lightweight servers placed at the edge of a network.
