AI and Machine Learning
Introduce efficiencies to improve operations and add intelligence for digital transformation of products or services.
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The clock is ticking… don’t miss your chance to register for this year’s Applied ML Summit happening in three weeks on June 9, 2022. Our practitioner-oriented sessions will teach you how to: Streamline the process to audit, track and govern ML models Automate and monitor AI integration, deployment, and infrastructure management Train high quality ML models in minutes with AutoML Make the most of your Google Cloud investments in Vertex AI training and prediction Build reliable, standardized AI Pipelines … and more.You’ll also get to hear Andrew Moore, VP and GM for Cloud AI and Industry Solutions for Google Cloud, and Priyanka Vergadia, Developer Advocate for Google Cloud, lead a conversation with Smitha Shaym, Director of Engineering for UberAI, and Bryan Goodman, Director of AI and Cloud for Ford, on accelerating the deployment of predictable ML in production. Save your spot today and make sure to check out our site for more event updates and details!
We’re exactly a month away from our Google Cloud Applied ML Summit happening on June 9th, 2022! Join us for 18 sessions all about developing, deploying, and managing ML models at scale from the world’s leading professional machine learning engineers and data scientists. Listen to AI/ML leaders from a wide range of industries and companies including Uber, Ford, H&M, and more. Plus, you’ll get to choose your own adventure with our three different tracks designed to best meet your ML interests: Data to ML Essentials Fast-Track Innovation Self-Improving ML Register today for this digital event and view the full agenda now. We can’t wait to see you there!
Executives and employees increasingly put their faith in AI to make business-critical decisions, AI creates new opportunities that never existed before, and MLOps gets real. AI has matured. Adoption is increasingly driven by business units and distributed throughout organizations. It triggers business process transformation through the predictive powers available with AI. I think this article on CIO.com is a good read on current AI enterprise trends. Happy reading.https://www.cio.com/article/305644/10-enterprise-ai-trends-for-2022.html
Thank you to all who joined and asked great questions at this event! Check out the full recap of How Vertex AI Helps Startups Thrive" here: https://community.c2cglobal.com/product-updates/how-vertex-ai-helps-startups-thrive-full-video-2655
Hi everyone!I'm starting to work with Google Vertex and I had this question regarding the scalability of the endpoints.When I configure an endpoint I must:1) set hardware for the training machine (n1-standard-2, for example);2) set a minimum and maximum number of computer nodes.Number 1 is mandatory and number 2 is optional (if configured, new nodes will only be instantiated with the configuration defined in item 1).What is unclear to me is when I should invest in a larger hardware configuration (1) and when I should invest in a larger number of nodes (2).Does anyone have an idea?Thank you!
Hi- I just attended a Vertex Ai demo which was useful, many thanksI was wondering if someone could let me know the complete list of models that are included in the “model zoo” that AutoML Tables looks at when generating the ‘best model’?thanks in advancePiers(Druva Reddy)
Hi When using BigQuery, we loved this no-coding big data anaytics - “connected sheet”https://www.youtube.com/watch?v=rkimIhnLKGI&list=PLU8ezI8GYqs74i8hy_qln3FvkAuSpE-r1This is so useful. We analyzed 5M rows with pivot table UI without hustle.Kids and non-IT people can use this for sure.Does anyone use? Let’s chat about this useful feature.
Hello Everyone! Welcome to C2C, Google Cloud’s Global Customer community. My name is Priyanka Vergadia. I am a developer advocate here at Google Cloud and am excited to tell you about the video series I recorded for you all and simplifying AI using Vertex AI on Google Cloud. This series will focus on how developers and technical practitioners can use Vertex AI to efficiently build and manage the lifecycle of their ML projects. From training models with minimal code to removing the complexity of self-service model maintenance. This series will cover why Vertex AI is the one AI platform with every ML tool you’ll need.Really hope you enjoy this series! Look forward to speaking with you and answering any questions you have in the community. Episode 1: AI Simplified: What is Vertex AI? Vertex AI is Google Cloud’s end-to-end ML platform for data scientists and ML engineers to accelerate ML experimentation and deployment. The platform unifies Google Cloud’s existing ML offerings into
In February, @Partha of Dataflix joined our Coffee Chat to talk about how organizations can improve customer experience while reducing operational cost using Conversation AI platforms like Dialogflow on Google Cloud. You can now watch the full recording on Enhancing Customer Services with Conversation AI on Google Cloud! Watch the recording here:https://youtu.be/N01QsAWkXVE -AJ
If you’re interested in modernizing your Enterprise Data Warehouse (EDW) to bring Cloud "superpowers" to your Data, join Leigha Jarett (Product Manager for Looker and Google Cloud) online today at 6pm EST to learn about Retail Analytics and Business Intelligence Architecture (and see the source code!) for Cymbal Direct - an online direct-to-consumer footwear and apparel retailer.Bring your BI/Data/ML questions and enthusiasm - we're looking forward to it being a fun-filled evening RSVP at https://www.meetup.com/Serverless-Toronto/events/281002271/Retail Analytics & Business Intelligence with Looker, BigQuery and GCP
Hi everyone!Next Tuesday, our friends from Dataflix will be joining our Coffee Chat to talk about Enhancing Customer Service with Conversation AI on Google Cloud.Learn how organizations can improve customer experience while reducing operational cost using Conversation AI platforms like Dialogflow on Google Cloud. Speaker: Partha Singamaneni, VP of Products & Solutions at Dataflix Looking forward to seeing you all there! We’ll have time for questions and discussion.Alex
Hi everyone!On Monday, our friends from SpringML will be joining our Coffee Chat to talk about Addressing the Supply Chain Crisis with AI.During the last two years since the world first fell into the COVID-19 pandemic, we have seen a number of disturbances throughout all of the industries. One in particular was the dramatic impact on the supply chain worldwide and the effects on all consumers.Join SpringML as we discuss how combining artificial intelligence with a number of additional technologies and innovations, can be the answer to addressing consumer demand, labor shortage, and preventative measures. Looking forward to seeing you all there! We’ll have time for questions and discussion.AlexC2C North American Community Manager
Hi All, I have a use case whereby I would like to record video from nest indoor camera, store it in google cloud storage and identify actions in the video and store the action labels in datawarehouse (e.g. bigquery). It would be best if the action labelling is done on the client side so that I do not even have to store the videos. Can anyone please redirect me to the right resources or experts? regards,ManishFounder - Parentiv, Inc. https://www.parentiv.com
Google Cloud Platform has a set of products that make specific AI functions easy to apply, like Vision AI. Vision AI on the Google cloud helps with computer vision and makes it applicable in many different cases. But what exactly does this mean? In December 2021 C2C invited Eric Clark from SpringML as he answered our question about Computer Vision.Read all about this presentation and watch the recording on our Learn section
Source: venturebeat.comFollowing is a quick look at the milestones that shaped the field of artificial intelligence in 2021.@RonGuida you are using Vertex AI. What do you think?@firstname.lastname@example.org as the CEO of Pluto7 you are leveraging Machine Learning and AI professional services, helping clients with business transformation. What do you think?
We would like to meet with a member Google product team for Vertex AI. For background, we scale Python/Dask workloads in GCP and many of them work with Vertex AI. We have requested a this also via our GCP partner POC. Any help or insight on this would be great! Thank you!
We will start a new year and a new C2C Connect Coffee Chat series for AI and ML with it. Join this recurrent event once a week to meet other people interested in AI and ML on Google Cloud.What is the C2C Connect: AI and ML Coffee Chat?These Coffee Chats are informal meetings designed to bring Google Cloud customers a place to meet, casually interact, and share knowledge with other users.How many Chats do I need to attend?You can assist as many Coffee Chats as you want. Some members use it sporadically to show and exchange information with others, and other members use it as a regular place to gain and share knowledge and network.How can I get the most of these events?There is always something to comment or talk about in the Coffee Chats, but coming prepared with something to share is the best strategy. Use this forum (look for the new topic button on the top-right) to post doubts, questions, or share a story in advance, so other people know how to help beforehand.Coffee Chats are a Pee
All aboard the Qwiklabs Express 1: Learn something new! Finish 2021 strong! This week, you are invited to learn something new. Ever tried building a secure network in the cloud? Or developing an app without using code? All aboard the #QwiklabsExpress for a holiday learning journey! Get your ticket, then take one lab free. When you complete the lab, you'll activate a free 1-month pass to the entire lab catalog. 2: Join the conversation for some holiday cheer Once you have your ticket, head on over to the Learning Hub. Pour yourself a cup of tea and share what you're learning today! Did you earn a new skill badge? Post it and share what you learned! (And watch your GCC notifications - we'll be unwrapping gifts too). 3: Decorate! It's not just about trimming the tree. Spruce up your LinkedIn profile to showcase your learning journey! Did you know that digital credentials increase your visibility on LinkedIn by 600%? Make your profile look great by uploading a custom banner. Check out this
Hi all,Sharing some excitement for C2C Talks: Mapping AI Ethics to Cultural Motifs, hosted by @tobisam. I found an article Tobi wrote which just so happened to align with some discussions on AI ethics we at the C2C team were having internally as well as some interest I’ve seen popping up within our community. Tobi will get us kicked off, but this is a great opportunity for everyone to get involved in live discussion and pose any questions or thoughts you have on responsible AI or ML biases.Sign up here: C2C Talks are your opportunity to connect in real time with fellow Google Cloud customers. We invite community members to host sessions, discuss real-world applications, and hear how others are applying these solutions to current projects.If you’re interested in hosting your own C2C Talks session, you can DM me or reach out to me at email@example.com
With customer experience (CX) becoming the defining competitive differentiator in Banking, it's imperative that institutions create intelligent agents, enable natural interactions with them, and gain actionable insights.Join Quantiphi and Google Cloud to learn new ways to kickstart a contact center transformation journey and build AI-powered virtual agents.By joining this session, we will cover questions like:Why do traditional contact centers in the Banking sector fail to cope up with evolving customer expectations? How to leverage Contact Center AI (CCAI) to continuously improve CX across the customer journey? How has CCAI benefited some of the largest global Banking institutions? Learn how a leading US bank improved instant resolution of user queries in <0.5 sec with an accuracy rate of 80%Meet the Speakers
We just publish an article about the event The ML Mindset for Managers in the Learn section. You can read more about KC Ayyagari presentation in the following linkIn the Learn section you will find articles from our staff and collaborators about different topics related to GCP. You can look around the learn section from time to time to see what’s new or once in the Learn page click subscribe to receive an alert every time there is new content.
Making Friends with Machine Learning was a legendary internal-only Google course specially created to inspire beginners and amuse experts. Today, it is available to everyone! You can now enjoy it by following these links: Part 1 — Introduction to ML: bit.ly/mfml_part1 Part 2 — Life of a Machine Learning Project: bit.ly/mfml_part2 Part 3 — AI from Prototype and Production: bit.ly/mfml_part3 Part 4 — Opening the Black Box: bit.ly/mfml_part4
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