Podcast appearances and mentions of tim kelton

In episode 45 we talk about Artificial Intelligence and Machine Learning (AI & ML) with three experts on the subject:- Brian Raymond at Primer.ai- Tim Kelton at Descartes Labs- Abe Usher at Black CapeWe talk about how the DoD is handling this "explosion of data," what capabilities they're most excited about developing in the future, and how they see the DoD workforce being trained in these areas. And of course: the impact of COVID19.Visit the National Security Commission on AI:https://www.nscai.gov/homeCorporate Partner Highlight: TACG Solutions:https://www.tacgsolutions.com/Support the show (https://gsof.org/individual-membership/)

We sat down with Tim Kelton, co founder of Descartes Labs, to talk about how they use the cloud to analyze huge amounts of satellite and sensor data in order to model changes on the Earth - from greenhouse emissions to large-scale crop identification. Since we spoke with Tim, Descartes has been in the media for some extra-interesting use cases, which I would like to highlight: https://www.cnn.com/2019/12/05/tech/ai-wildfires/index.html https://www.nytimes.com/interactive/2019/12/27/upshot/america-from-above.html The Cloud Native Show is presented by Rackner, a consultancy focused on cloud native product development, DevSecOps, and Kubernetes.

Satellite images contain vast quantities of data. By analyzing the contents of satellite images over time, we can identify trends in weather, soil, and agriculture. If we combine that data with ground-level sensors, we can gather a clearer understanding of how chemicals in the air or in the dirt map to how things look from The post Satellite Data Platform with Tim Kelton appeared first on Software Engineering Daily.

Tim Kelton is co-founder and cloud architect for Descartes Labs. Prior to starting Descartes Labs, he was a R&D engineer for 15 years at Los Alamos National Laboratory, working on problem areas such as deep learning, space systems, nuclear non-proliferation, and counterterrorism. Tim talks to Craig and Adam about the use of Kubernetes and Istio in geopolitics, machine learning and food supply. Do you have something cool to share? Some questions? Let us know: web: kubernetespodcast.com mail: kubernetespodcast@google.com twitter: @kubernetespod News of the week Cloud Native Computing Foundation Announces Prometheus Graduation OpenMetrics project accepted into CNCF Sandbox An Exciting New Direction for the Kubic project Demystifying RBAC in Kubernetes Kubebuilder 1.0 scaffolds (with a C) Kubernetes APIs and operators Getting Started GitHub Operator Lifecycle Management - it’s operators all the way down Links from the interview Descartes Labs Climate Change and Rising Food Prices Heightened Arab Spring Why DARPA Funded a Farm Tech Startup Announcing our $30M Series B Global-scale water monitoring in the cloud Beowulf clusters (a Slashdot meme) Omega and Borg papers Mountain biking in Sedona Descartes Labs Python client SRE books: Site Reliability Engineering The Site Reliability Workbook - free until August 23 Descartes Labs talks from Cloud Next ‘18: SRE Quality Operations for Your Services Using the Istio Service Mesh & Stackdriver - with Tim Kelton and Jay Judkowitz from Stackdriver Service Monitoring How Computers See the Earth: A ML Approach to Understanding Satellite Imagery with Kyle Story Building Multi-Tenancy ML Applications with GKE and Istio to Better Understand the Earth with Tim Kelton and Sam Skillman Descartes Labs GeoVisual Search - find the squares on the globe that look most like a given square Tim Kelton on Twitter

Istio has hit 1.0, and there’s no-one better to tell you about it than Jasmine Jaksic and Dan Ciruli from Google Cloud. Adam and Craig bring you this, as well as the news from the ecosystem. Do you have something cool to share? Some questions? Let us know: web: kubernetespodcast.com mail: kubernetespodcast@google.com twitter: @kubernetespod News of the week Kubernetes now in Docker Desktop Harbor enters the CNCF sandbox Azure Metrics Adapter CloudBees Core GA on AKS Red Hat OpenShift Container Platform 3.10 3.11 Codefresh Enterprise Synchronizing Kubernetes secrets with LastPass at Upside Istio nightly on EKS at Tetrate Links from the interview Announcing Istio 1.0 SRE Quality Operations for Your Services Using the Istio Service Mesh and Google Stackdriver, featuring Tim Kelton from Descartes Labs (who presented at the Toronto event two years ago, and has been using Istio in production since 0.2) Google’s Cloud Services Platform Kubernetes Podcast episode 13 on Cloud Services Platform with Aparna Sinha (It’s Dan’s favorite episode so far) Istio à la carte; a presentation by Dan Istio and the future of service meshes; an article by Jasmine The Istio project: The URL (The IP address is 104.198.14.52) Community page, listing Google Groups Rocket Chat for users Twitter Jasmine Jaksic and Dan Ciruli on Twitter

Basecamp Networks uses Machine Learning to diagnose easily what kind of sickness or parasite a crop might be suffering. They're powered by Google Cloud Platform, and their CEO, Craig Ganssle, is here to tell Mark and Francesc all about it. About Craig Ganssle Craig Ganssle is the Founder and CEO of Basecamp Networks. With over 20 years in the technology industry, Craig has extensive experience developing and deploying wireless networks and designing predictive learning solutions for complex problem solving. Craig started Basecamp Networks in 2007 providing global wireless network infrastructures as well as creative solutions for difficult and time-consuming IT issues. As a partner with Google since 2008, Craig was one of the original Glass Explorers, Google's original beta test group. In early 2013, Craig advanced to an elite small team for this innovative technology. Since then, under his leadership and Basecamp's agricultural focus, Craig's vision for Glass led his team to develop intelliSCOUT®, the world's first wearable application offering farmers a truly hands-free solution, enabling agricultural problem-solving by collecting actionable insights from the field in a fraction of the time. intelliSCOUT® technology has been demonstrated, in conjunction with the Basecamp Networks' offering, to dignitaries throughout the world, including France, where Craig was personally requested to present this technology to President Francois Hollande. In October 2016 Craig and Basecamp won the Atlanta Telecom Partnership (ATP) Technology Service Provider of The Year Award (in addition to his achievements in agricultural technological advancements). Prior to founding Basecamp Networks, Craig was recruited by Verizon Wireless in 2001 where he oversaw U.S. Southeast Operations in the network engineering division and was later tasked with deploying LTE in the Southeast United States. Craig's advanced innovative solutions are currently in use across Verizon's entire company footprint today. During this time Craig also received a bachelor's degree from Muhlenberg College in Business Administration, and a Computer Science degree from AIU. In addition to his contributions in the public sector, Craig served honorably in the United States Marine Corps as an intelligence communications operator with the Joint Special Operations Command (JSOC) 2nd Force Recon Battalion. He was later assigned as a detached “special operator” under the Department of the Navy, to Naval Special Warfare Unit S.E.A.L. Teams as a “joint operator” before being honorably discharged in 2001 for medical reasons. During his six years of service, Craig was highly decorated with various commendations and medals for his service and valor. Craig is very active in mission work with his church that includes providing internet services in rural and remote locations globally. Basecamp Networks is headquartered in Alpharetta, GA where Craig resides with his wife and children. Cool things of the week Google Cloud Platform launches Northern Virginia region announcement. Compute Engine machine types with up to 64 vCPUs now ready for your production workloads announcement. Listen to Episode #41 Descartes Labs with Tim Kelton. Terraforming the Google Cloud alexander.holbreich.org. Interview Basecamp Networks OpenCV: Open Computer Vision opencv.org Tensorflow: An open-source software library for Machine Intelligence tensorflow.org Lagom: The Opinionated Microservices Framework for moving away from the Monolith lagomframework.com intelliSCOUT: a product of Basecamp Networks intelliscout.io Question of the week How can I learn machine learning for free? Follow this courses: Machine Learning by Stanford University coursera Deep Learning by Google Udacity CS 20SI: Tensorflow for Deep Learning Research Stanford And more: Google Machine Learning Engine and episode gcppodcast #71 Tensorflow with Eli Bixby gcppodcast #31 Announcing general availability of GPUs for Cloud Machine Learning Engine announcement Where can you find us next? Francesc presented at Gopherfest and the video is already out there! Next he'll be teaching at Onboard Buenos Aires and running a workshop at QCon New York Mark is currently at Nordic Games Conference, and while he won't be there, if people are in San Francisco they should head over to the Playcrafting & Extra Life 24 Hour Game Fest where we are raising money for the UCSF Benioff Children's Hospitals.

Descartes Labs is creating an incredible living atlas of the world from huge datasets leveraging the power of Google Cloud Platform and Tim Kelton, one of the co-founders of Descartes Labs, is here to your cohosts Francesc Campoy and Mark Mandel all about it. About Tim Tim is a co-founder of Descartes Labs focuses on building distributed systems using cloud architecture to better see how the earth changes every day. Prior to Descartes Labs, Tim was a Research and Development engineer for 15 years at Los Alamos National Laboratory working on problem areas such as deep learning, space systems, nuclear non-proliferation, and counterterrorism. In his free time, Tim enjoys mountain biking and skiing in the mountains above Descartes in Santa Fe New Mexico. Cool things of the week Check the transcripts for every episode! All Google Cloud Platform episodes on YouTube gRPC Project is now 1.0 and ready for production deployments blog post Interview Descartes Labs home page Advancing the science of corn forecasting Medium Maglev: A Fast and Reliable Software Network Load Balancer Google Research Preemptible VMs docs Managed Instance Groups docs Celery: Distributed Task Queue homepage “Tatooine†then and now from space: 40th anniversary of filming of Star Wars Medium Some maps Three maps of Humboldt, Iowa in July 2016. Cloud free image in true color We detect fields automatically, using machine learning. This is a map of all the fields in Humbolt. Vegetative health (using NDVI) Question of the week What can you get for free on Google Cloud Platform? App Engine pricing 28 free instance-hours per day Cloud Datastore pricing 1 GB of storage 50k Entity Reads 20k Entity Writes 20k Entity Deletes Vision API pricing 1k units/month (a unit correspond to a feature e.g. facial detection) BigQuery pricing Loading, Copying, and Exporting data is always free First TB of processed data in queries is free every month PubSub pricing First 250M Operations: $0.40/Million

This week's episode of Space Ventures Radio examines Descartes Labs, a machine learning and predictive analytics startup using satellite imagery to predict crop yields, starting with corn in the U.S. Important Update on the "Team" Section: I missed mentioning Mark Mathis (Software Architect), Rick Chartrand (Mathematician) and Tim Kelton (Cloud Architect) in the founding team. MARK MATHIS — For the past decade Mark has worked to help put great science into the hands of decision makers, a role he continues to pursue at Descartes Labs creating and curating rich customer experiences. He studied computer science and engineering at Texas A&M University before moving to Los Alamos National Laboratory as a DOE High Performance Computer Science Graduate Fellow. RICK CHARTRAND — was once a pure mathematician, with a PhD from University of California, Berkeley. He now much prefers to be useful. Rick’s applied mathematics expertise includes image processing, machine learning, compressive sensing, and the iconoclasm of non-convex continuous optimization. TIM KELTON — focuses on building distributed systems using cloud architecture. Prior to joining Descartes Labs, Tim was a Research and Development engineer for 15 years at Los Alamos National Laboratory working on problem areas such as deep learning, space systems, nuclear non-proliferation, and counterterrorism. http://descarteslabs.com/team.html ------------------------ EPISODE SECTIONS ------------------------ 2:32 - The Upshot 4:18 - The Problem 5:19 - The Solution 8:33 - The Business Model 10:53 - The Team 12:43 - The Competition 15:17 - The Roadmap 16:36 - The Conclusion ------------------------ RELEVANT LINKS ------------------------ Descartes Labs 2016 Corn Forecast: http://descarteslabs.com/forecast.html ------------------------ Intro music: “Take Me Higher” by Menya Hinga