Podcasts about cloud ai platform

Welcome to the newest episode of The Cloud Pod podcast! Justin, Ryan, Jonathan, Matthew are your hosts this week. Join us as we discuss all things cloud, AI, the upcoming Google AI Conference, AWS Console, and Duet AI for Google cloud.  Titles we almost went with this week:

Original blog post.With PyTorch on Google Cloud blog series, we aim to share - how to build, train and deploy PyTorch models at scale, how to create reproducible machine learning pipelines on Google Cloud AI Platform and emphasize Cloud AI Platform's first class support for training and deploying PyTorch models.More Google Cloud Reader here

Happy Halloween! Today, Jon Foust and Brian Dorsey chat with Maria Laura Scuri of FACEIT about ways they are reducing toxicity in gaming. FACEIT is a competitive gaming platform that helps connect gamers and game competition and tournament organizers. In order to do this well, FACEIT has put a lot of energy into finding ways to keep the experience positive for everyone. Because gaming toxicity can involve anything from verbal jabs to throwing a game, FACEIT uses a combination of data collecting programs and input from players to help identify toxic behavior. In identifying this behavior, FACEIT has to consider not only the literal words spoken or actions made, but the context around them. Is that player being rude to strangers or is he egging on a friend? The answer to this question could change the behavior from unacceptable to friendly banter. Using their own machine learning model, interactions are then given a score to determine how toxic the player was in that match. The toxicity scores along with their program, Minerva, determine if any bans should be put on a player. FACEIT focuses on punishing player behavior, rather than the player themselves, in an effort to help players learn from the experience and change the way they interact with others in the future. Maria’s advice to other companies looking to help reduce toxicity on their platforms is to know the context of the toxic event. Know how toxicity can express itself on your platform and find ways to deal with all of them. She also suggests tackling the issues of toxicity in small portions and celebrating the small wins! Her final piece of advice is to focus on criticizing the behavior of the user rather than attacking them personally. Maria Laura Scuri Maria is the Director of Business Intelligence at FACEIT, the leading competitive platform for online multiplayer games with over 15 million users. She joined FACEIT as part of the core team in 2013 as an intern assisting with everything from customer support to event management. Her passion for data, machine learning, and artificial intelligence saw her quickly rise through the ranks to her current position, leading the Business Intelligence and Data Science teams. Maria works side by side with some of the biggest tech companies in the world including Google Cloud. She is the main lead on a number of projects including the inception of an Artificial Intelligence Admin to fight toxicity on the platform. Maria is responsible for implementing best practices around data visualization and tools that allow the FACEIT team to thrive, as well as sourcing and training new talent. Maria is a huge video games fan. You can find her on League of Legends as “FACEIT Lulu” and on Steam as “Sephariel”. Cool things of the week What can Google Cloud do for you? New trainings for business professionals blog Leave no database behind with Cloud SQL for SQL Server blog How to orchestrate Cloud Dataprep jobs using Cloud Composer blog Updates make Cloud AI platform faster and more flexible blog Use GKE usage metering to combat over-provisioning blog Interview FACEIT site FACEIT blog FACEIT on Medium site Steam site Perspective API site BigQuery site Looker site Cloud Datalab site Jupyter Notebook site Cloud AI Platform site TensorFlow site Google Cloud Data Labeling site Google Translation site] Dealing with CS:GO Free to Play and Addressing Toxicity in Matches blog Revealing Minerva and addressing toxicity and abusive behaviour in matches blog One of Europe’s Largest Gaming Platforms is Tackling Toxicity with Machine Learning blog FACEIT And Google Partner To Use AI To Tackle In Game Toxicity article FACEIT implement Minerva, an AI to punish toxicity in CSGO blog FACEIT Takes On Toxicity With Machine Learning article Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games whitepaper Toxic Behavior in Online Games whitepaper A Look at Gaming Culture and Gaming Related Problems: From a Gamer’s Perspective whitepaper An Analysis of (Bad) Behavior in Online Video Games whitepaper Toxicity detection in multiplayer online games whitepaper Jon’s gaming info steam BattleNet: Syntax#11906 Question of the week When I SSH into my VM via different methods (Cloud Console, GCloud, terminal/command prompt) I get a different username… What can I do to make that static? OS Login Where can you find us next? FACEIT will be at Next London and GDC Brian will be at Super Computing in Denver. Jon will be at AnimeNYC, Kubecon in November and Google Kirkland and Montreal in December.

The podcast today is all about conversational AI and Dialogflow with our Google guest, Priyanka Vergadia. Priyanka explains to Mark Mirchandani and Brian Dorsey that conversational AI includes anything with a conversational component, such as chatbots, in anything from apps, to websites, to messenger programs. If it uses natural language understanding and processing to help humans and machines communicate, it can be classified as conversational AI. These programs work as translators so humans and computers can chat seamlessly. We discuss how people interact with conversational AI, maybe without even realizing it. From asking Google Home to set your alarm to getting customer service support at your favorite online store, AI is probably working behind the scenes to help. Priyanka also tells us all about Google’s natural language understanding and processing program, Dialogflow. Designed to simplify the process, Dialogflow allows you to input a simple idea like asking for coffee, and watch as the program automatically includes many of the different ways people would naturally ask for coffee. Coffee would be great right now! Listen in to find out the best (and worst) use cases and practices for this powerful tool! Priyanka Vergadia Priyanka Vergadia is a Developer Advocate at Google. She worked directly with customers for 1.5 years prior to recently joining Google Cloud Developer Relations team. She loves architecting cloud solutions and enjoys building conversational experiences. Her interest in Conversational AI led to the Deconstructing Chatbots YouTube series. Priyanka is currently starring in a new show called “Get Cooking in Cloud” where she will be sharing recipes to cook various business solutions on Google Cloud. Cool things of the week Least privilege for Cloud Functions using Cloud IAM blog Containerizing in the real world … of Minecraft blog Introducing the What-If Tool for Cloud AI Platform models blog Interview Chatbot Fail site Dialogflow site and docs Deconstructing Chatbots videos Codelab: Build your first Chatbot with Dialogflow site Question of the week How do you run a recurring python script? Where can you find us next? Priyanka will be at Codemotion Milan in October and GOTO Copenhagen in November. Brian will be at the office in Seattle, thinking about Compute Engine. Mark will be in Austin and the Bay Area working on new training content! Sound Effect Attribution “Small Group Laugh Set.wav” by Tim Kahn of Freesound.org “Whip Crack 01.wav” by CGEffex of Freesound.org

Mark Mirchandani is our Mark this week, joining new host Michelle Casbon in a recap of their favorite things at Next! The main story this episode is Cloud Run, and Gabi and Mark met up with Steren Giannini and Ryan Gregg at Cloud Next to learn more about it. Announced at Next, Cloud Run brings serverless to containers! It offers great options and security, and the client only pays for what they use. With containers, developers can use any language, any library, any software, anything! Two versions of Cloud Run were released last week. Cloud Run is the fully managed, hosted service for running serverless containers. The second version, Cloud Run GKE, provides a lot of the same benefits, but runs the compute inside your Kubernetes container. It’s easy to move between the two if your needs change as well. Steren Giannini Steren is a Product Manager in the Google Cloud Platform serverless team. He graduated from École Centrale Lyon, France and then was CTO of a startup that created mobile and multi-device solutions. After joining Google, Steren managed Stackdriver Error Reporting, Node.js on App Engine, and Cloud Run. Ryan Gregg Ryan is a product manager at Google, working on Knative and Cloud Run. He has over 15 years experience working with developers on building and extending platforms and is passionate about great documentation and reducing developer toil. After more than a decade of working on enterprise software platforms and cloud solutions at Microsoft, he joined Google to work on Knative and building great new experiences for serverless and Kubernetes. Cool things of the week News to build on: 122+ announcements from Google Cloud Next ‘19 blog Mark’s Favorite Announcement: Network service tiers site Michelle’s Favorite Announcements: Cloud Code site Cloud SQL for Postgres now supports v11 release notes Cloud Data Fusion for visual code-free ETL pipelines site Cloud AI Platform site AutoML Natural Language site Google Voice for G Suite blog Hangouts Chat in Gmail site Kubeflow v0.5.0 release site Interview Cloud Run site Knative site Knative Docs site Firestore site App Engine site Cloud Functions site GKE site Cloud Run on GKE site Understanding cluster resource usage site Docker site Cloud Build site Gitlab site Buildpacks site Jib (Java Image Builder) site Pub/Sub site Cloud VPC site Google Cloud Next ‘19 All Sessions videos Question of the week If I want to try out Cloud Run, how do I get started? Get started with the beta version by logging in site Quicklinks site Codelab site Where can you find us next? Gabi is at PyTexas Jon and Mark Mandel are at East Coast Game Conference Michelle & Mark Mirchandani will be at Google IO in May Michelle will be at Kubecon Barcelona in May

There's so much to discuss on the AI side, it's hard to know where to begin. Luckily,  Steve Guggenheimer, Microsoft’s corporate vice president of AI Business, and Carlos Pessoa, a software engineering manager for the company’s Cloud AI Platform, talked to Kyle about announcements related to AI in industry.

What impact will AI have in the decade ahead? What’s most misunderstood about AI? As AI enters the ‘plateau of reality’, how can companies take advantage? We go ‘Beyond The Hype’ with Dr. Joseph Sirosh, the global leader of Microsoft’s Cloud AI Platform and enterprise AI strategy. Joseph describes how AI will drive a ‘Cambrian Acceleration’ in software, how Microsoft’s AI platform will democratise AI and evolve in the years ahead, the next paradigm shift in human-computer interaction…and what might be the next big disruptor after AI.