AI in Business
AI in Business
Nov 24, 2020
AI, Cybersecurity, and the US Marine Corps - with Roman Vitkovitsky
Play • 28 min

Today's guest is the great and brilliant Roman Vitkovitsky. Roman supports the Pentagon's Cyberspace operations. He formerly served as COO/CTO of the Marine Corps Cyberspace Operations Group and in stints serving DARPA, NATO, and in multiple adjunct professor roles, to name a few. In this episode, Roman shares how AI is leading the bleeding edge for Cyberspace Defense, enabling nimble actions in complex threat environments. Leaders at all levels may find these insights powerful and relevant. Want to discover AI trends in any sector? Get Emerj's PDF guide:

Towards Data Science
Towards Data Science
The TDS team
66. Owain Evans - Predicting the future of AI
Most researchers agree we’ll eventually reach a point where our AI systems begin to exceed human performance at virtually every economically valuable task, including the ability to generalize from what they’ve learned to take on new tasks that they haven’t seen before. These artificial general intelligences (AGIs) would in all likelihood have transformative effects on our economies, our societies and even our species. No one knows what these effects will be, or when AGI systems will be developed that can bring them about. But that doesn’t mean these things aren’t worth predicting or estimating. The more we know about the amount of time we have to develop robust solutions to important AI ethics, safety and policy problems, the more clearly we can think about what problems should be receiving our time and attention today. That’s the thesis that motivates a lot of work on AI forecasting: the attempt to predict key milestones in AI development, on the path to AGI and super-human artificial intelligence. It’s still early days for this space, but it’s received attention from an increasing number of the AI safety and AI capabilities researchers. One of those researchers is Owain Evans, whose work at Oxford University’s Future of Humanity Institute is focused on techniques for learning about human beliefs, preferences and values from observing human behavior or interacting with humans. Owain joined me for this episode of the podcast to talk about AI forecasting, the problem of inferring human values, and the ecosystem of research organizations that support this type of research.
48 min
Google Cloud Platform Podcast
Google Cloud Platform Podcast
Google Cloud Platform
2020 Year End Wrap Up
This week, four of the podcast’s greatest hosts come together to celebrate all of the fun and informative episodes we’ve been privileged to do this year! Join Mark Mirchandani, Jon Foust, Priyanka Vergadia, and Brian Dorsey as we talk about our favorite guests and shows, some cool things that happened this year, and what we’re looking forward to in 2021! Cool things of the week * A Giant List of Google Cloud Resources blog * Google Cloud 4 Words site Our favorite episodes * Jon’s Favorites * GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast * GCP Podcast Episode 237: NVIDIA with Bryan Catanzaro podcast * Priyanka’s Favorite * GCP Podcast Episode 240: reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark podcast * Mark’s Favorites * GCP Podcast Episode 242: NASA and FDL with James Parr and Madhulika Guhathakurta podcast * GCP Podcast Episode 217: Cost Optimization with Justin Lerma and Pathik Sharma podcast * GCP Podcast Episode 228: Fastly with Tyler McMullen podcast * Brian’s Favorites * GCP Podcast Episode 223: Voice Coding with Emily Shea and Ryan Hileman podcast * GCP Podcast Episode 233: Bare Metal Solution with James Harding and Gurmeet Goindi podcast * GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast Sound Effects Attribution * “Bad Beep” by RicherLandTV of * “Small Group Laugh 6” by Tim.Kahn of * “It’s Always Night in Space” by JamesSilvera of * “Easy Cheesy” by LoboLoco of
36 min
The Backend Engineering Show with Hussein Nasser
The Backend Engineering Show with Hussein Nasser
Hussein Nasser
The 2021 Slack Outage (Detailed analysis)
On Jan 4th 2021, Slack experienced a global outage that prevented customers from using the service for nearly 5 hours. Slack has released the Root cause analysis incident report which I’m going to summarize in the first part of this video. After that Ill provide a lengthy deep dive of the incident so make sure to stick around for that. If you are new here, I make backend engineering videos and also cover software news, so make sure to Like comment and subscribe if you would like to see more plus it really helps the channel, lets jump into it. So This is an approximation of Slack’s architecture based on what was the described in the reports. Clients connects to load balancers, load balancers distribute requests to backend servers and backend servers finally make requests to database servers which is powered by mysql through vitess sharding. All of those are connected by routers in cross boundary network. Around 6AM jan 4 , the cross network boundary routers setting between LB and backend and backend to DB started to drop packets. This lead to the load balancers slowly marking backends as unhealthy and removing them from the fleet Which compounded the amount of requests The number of failed requests eventually triggered the provisioning service to start spinning an absurdly large number of backend servers However the provisioning service couldn’t keep up with the huge demand and shortly started to time out for the same networking reasons and eventually ran out of maximum open file handles. Eventually Slack’s cloud provider increased the networking capacity and backend servers went back to normal around 11 AM PST This was a summary of the slack outage, Now set back, grab your favorite beverage and lets go through the detailed incident report! 0:00 Outage Summary 2:00 Detailed Analysis Starts 5:20 The Root Cause 30:00 Corrective Actions --- Send in a voice message:
44 min
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