Podcasts about fog computing

David Santiago, head of industry for public sector Document Cloud at Adobe and former deputy assistant administrator for grants systems and policy integration at the Federal Emergency Management Agency, explains why technologists' input will help government agencies better deliver customer experience. Lt. Gen. Jack Shanahan (USAF-ret.), former director of Department of Defense's Joint Artificial Intelligence Center, breaks down the current landscape of edge computing and fog computing at DOD. The Daily Scoop Podcast is available every weekday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast on Apple Podcasts, Google Podcasts, Spotify and Stitcher. And if you like what you hear, please let us know in the comments.

Follow Al Vazquez here: https://www.linkedin.com/in/alfredjvazquez/Follow Ryan Gross here: https://www.linkedin.com/in/ryan-w-gross/Check out some of Ryan's writing on Big Data, Distributed Cloud and digital transformation here:https://www.credera.com/insights/the-credera-brief-or-rethinking-data-governancehttps://ryanwgross.medium.com/designing-data-platforms-to-harness-the-power-of-fog-computing-cf7dc29050b1https://youtu.be/1pIUwGUbp88.  https://towardsdatascience.com/what-does-it-really-mean-to-operationalize-a-predictive-model-1c2864678d40https://medium.com/swlh/speed-up-your-data-transformation-with-data-catalysts-741cc1f5412https://medium.com/swlh/empower-data-owners-to-become-a-data-driven-enterprise-39a1271ce4fhttps://towardsdatascience.com/how-to-do-data-quality-with-dataops-90c1ab94e626https://medium.com/swlh/a-practical-guide-to-get-started-with-dataops-c0061656b83bhttps://ryanwgross.medium.com/

Ante la necesidad de tratar y analizar la información que generamos en nuestros negocios surgen tres tipos de procesamiento de esa información: cloud computing, fog computing y edge computing. La entrada Fog computing, edge computing y cloud computing: diferencias se publicó primero en Podcast Industria 4.0.

En el anterior episodio de Tendencias e Innovación dentro de Más Allá de la Innovación hablábamos del Internet de las cosas o IoT, por sus siglas en inglés. En ese espacio comentamos que una de las tendencias que han venido de la mano del internet de las cosas es el Edge Computing y a este nuevo paradigma vamos a dedicar el capítulo de hoy del Podcast. El Edge Computing consiste en acercar el poder de procesamiento lo más cerca posible de donde los datos están siendo generados. Es decir, consiste en acercar la nube hasta el usuario, hasta el borde mismo de la red. Edge significa borde en inglés. Tanto la industria, como el usuario particular se benefician de muchos aspectos de la computación de borde, entre los que podemos destacar: Análisis de datos en tiempo realReducción de latenciasConsumir menos anchos de bandaAhorro de tiempo y, por consiguiente, de dineroMenos cuellos de botella en el tráfico de datos El futuro del Internet de las cosas, de los coches, los hogares y las ciudades inteligentes, parecen caminar de la mano del Edge Computing. Quizás ese futuro también estará impregnado de un primo hermano del Edge Computing y que supone otro nuevo paradigma, el Fog Computing o computación en la niebla. A ello dedicaremos otro nuevo episodio de tendencias en Más Allá de la innovación. Contacto: https://www.mypublicinbox.com/MasAlladelaInnovacion Música: https://incompetech.filmmusic.io/ by Kevin McLeod Licencia : Creative Commons (CC BY-NC-SA)

This podcast episode tries to cover important basic information about fog computing without going deep into the subject.

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Our guest today is Dr Mahadev Satyanarayanan, Carnegie Group Professor of Computer Science at Carnegie Mellon University. Satya's multi-decade research career has focused on the challenges of performance, scalability, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet. In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT). Most recently, his seminal 2009 publication “The Case for VM-based Cloudlets in Mobile Computing” and the ensuing research has led to the emergence of Edge Computing (also known as "Fog Computing"). Satya is the Carnegie Group Professor of Computer Science at Carnegie Mellon University. He received the PhD in Computer Science from Carnegie Mellon, after Bachelor's and Master's degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE.

In this episode we catch up with Simon Young, GM IoT Solutions at Cisco and delve deep into Cisco's IoT strategy, covering off product strategy, acquisitions, common use cases and the growing need for Fog computing.

Navigating Connected Industry - from AI to Quantum Computing - A conversation with Cisco’s VP of Strategic Innovation Maciej Kranz Maciej Kranz is one of the most prominent thought leaders in IoT, and his book Building the Internet of Things and blog are essential reading for anyone interested in the topics. Our conversation covered the changes in the market and surprises since the launch of his book in 2016, his views on the current state of the market and evolution across industries. He discusses the primacy of security and the surprise that so many organizations need help – which drove him to publish his companion workbook. We also covered key topics such as the evolving architectures of IoT, Intelligent Edge and Fog Computing, how China is approaching IoT, and the importance of AI. As the market moves from optimization to digital transformation, and Maciej provides essential advice to those looking to make the jump.

The growth in IoT is unsustainable under current architectural approaches. This podcast explores "fog" computing, which adds a hierarchy of elements between the cloud and endpoint devices. My guests are Lynne Canavan, Vice President of Marketing for the OpenFog Consortium; Rhonda Dirvin, Director of IoT and Embedded at Arm Limited; and Matt Vasey, Director, IoT Business Development for Microsoft. See acast.com/privacy for privacy and opt-out information.

Cloud Computing has introduced transformative possibilities into IT departments around the globe, and increasingly the push is being made such that every company eventually stores all of their data on the cloud rather than their own data center. But for companies who face bandwidth issues and have trouble easily retrieving that data, it's clear cloud has its limitations. Fog Computing may be the alternative for those who don't wish to go 100 percent into Cloud. Fog Computing, or Edge Computing, involves when data exists on personal devices at the edge of the Internet such that it can more quickly be accessed. Will "The Fog" be a viable partner to the Cloud, and why is it being considered a critical component to enabling The Internet of Things?