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 | Apr 5, 2023 | Futurist Blog, Ian Khan Blog, Ian Khan's Blog, Technology Blog
Quantum computing is a branch of computer science that uses principles of quantum mechanics to perform calculations that are beyond the capabilities of classical computers. Quantum computers use quantum bits, or qubits, to store and process information. Unlike classical computers, which use bits that can only represent a 0 or a 1, qubits can represent a 0, a 1, or both simultaneously, known as superposition.
This ability to exist in multiple states at once allows quantum computers to perform certain calculations much faster than classical computers. Quantum computers can also perform certain tasks, such as factoring large numbers, that are believed to be difficult or impossible for classical computers.
Quantum computers have the potential to revolutionize fields such as medicine, finance, and materials science by enabling the simulation of complex systems and the optimization of complex problems. They may also be used to break encryption algorithms that are currently considered secure, which has significant implications for cybersecurity.
However, quantum computers are still in the early stages of development and are not yet widely available. They are also very sensitive to their environment and can be difficult to control, which makes them challenging to build and maintain.
Despite these challenges, researchers and companies around the world are working to develop and commercialize quantum computers. It is hoped that these efforts will eventually lead to the widespread adoption of quantum computers, which could significantly impact a wide range of industries and applications.
by Ian Khan | Apr 5, 2023 | Futurist Blog, Ian Khan Blog, Ian Khan's Blog, Technology Blog
Cloud computing refers to the use of remote servers and networks to store, process, and manage data and applications. In recent years, there have been significant advances in cloud computing, and the future of this field is likely to be shaped by a number of trends and technological developments.
One trend that is expected to continue in the future of cloud computing is the increasing use of artificial intelligence (AI) and machine learning. These technologies have the potential to revolutionize the way that businesses and organizations use the cloud, by providing more intelligent and adaptive services. For example, AI-powered cloud platforms could be used to analyze and interpret large amounts of data, identify patterns and trends, and provide recommendations and insights to users.
Another trend that is likely to shape the future of cloud computing is the increasing use of edge computing. Edge computing involves bringing computing power and storage closer to the end users, rather than relying on remote data centers. This can improve the speed and performance of cloud-based applications and services, especially for users in remote or low-bandwidth areas.
In addition to AI and edge computing, the future of cloud computing is also likely to be influenced by advances in security and privacy. As more and more sensitive data is stored and processed in the cloud, there is a growing concern about the security and privacy of this data. Cloud providers will likely continue to invest in advanced security and privacy measures to protect the data of their users.
Overall, the future of cloud computing is likely to be shaped by a combination of AI, edge computing, and advances in security and privacy. These trends will enable cloud computing to become more intelligent, fast, and secure, improving the way that businesses and organizations use the cloud to store, process, and manage their data and applications.
