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ilias

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Introducing Markus Koy, AI & Machine Learning moderator

Let us introduce you to our AI & ML Moderator: Markus KoyUsername: markuskBio:Markus is the founder of thefluent.me and a Google Bui...

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iliasC2C Team Member

published in AI and Machine Learning

Introducing Markus Koy, AI & Machine Learning moderator

Let us introduce you to our AI & ML Moderator: Markus KoyUsername: markuskBio:Markus is the founder of thefluent.me and a Google Build Partner and AI enthusiast based in Vancouver, British Columbia. Markus has 18 years of experience as a Business Analyst, IT Project Manager, IT Consultant, Strategic Controller, and Developer. Born and raised in Germany, Markus immigrated to Canada in 2008. His hobbies include fishing, snowshoeing, and hiking. Fine out more about Markus and thefluent.me here: https://community.c2cglobal.com/product-updates/using-ai-to-improve-spoken-language-fluency-with-markus-koy-founder-of-thefluent-me-1628Company: thefluent.meJob Title: Founder/ Owner

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21 days ago

Eugene BarnieNew to the Community

posted in AI and Machine Learning

The 8 Biggest Artificial Intelligence (AI) Trends In 2022

In this video, we look at the eight biggest trends in the field of AI and machine learning. We cover the innovations around natural language processing, creative AI, data centric AI, as well as the democratization of AI via simple self-service user interfaces.The question is (What are new innovations in cloud that has revolutionized the implementation of AI?)Press om this link to watch now and discuss on this page - [SITE REMOVED DUE TO MALWARE]

10 days ago

bdpacloudacademyNew to the Community

posted in AI and Machine Learning

Celebrate Juneteenth 2022: Identifying Bias in Mortgage Data using Cloud AI

Celebrate Juneteenth 2022! Learn more about Juneteenth and it’s significance, watch the video and learn about how “Juneteenth developed as a jubilee celebration in Texas and then how it moved from a regional holiday to a National one; becoming what is now known as Juneteenth National Independence Day.” Spend the Day Learning- https://www.cloudskillsboost.google/paths This Hands-on Lab focuses on Identifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool https://www.cloudskillsboost.google/focuses/10903?locale=it&parent=catalog

19 days ago

MarkusKCommunity Moderator

posted in AI and Machine Learning

Building a question answering system with Vertex AI

Let’s say it’s the first day in your new job and you have lots of questions. Where is the HR department located or how do I validate parking? Wouldn’t it be great if you could just ask a chatbot rather than reading through an internal Wiki? Here is a recipe to build one: Select your reference documents and pre-process them in Vertex AI Workbench Download a model from TensorFlow Hub and register with Vertex AI Have Vertex AI process your questions and answers Use Cloud Functions for your REST endpoint Use the Speech-To-Text and Text-To-Speech APIs to allow users using their voice rather than typing Sounds complicated? Nikita Namjoshi and Zack Akil demonstrate in this 16 minutes Google Cloud Applied ML Summit video how to do just that.https://youtu.be/5iSmX8sqtx8

19 days ago

SvetlanaCommunity Member

posted in AI and Machine Learning

Conversational AI with Dialogflow CX

DIY Dialogflow CXUseful links and documentation:https://codelabs.developers.google.com/codelabs/dialogflow-cx-retail-agent#0Build a retail virtual agent from scratch with Dialogflow CX - Ultimate Chatbot Tutorials I am working on an Online course about Chatbots and would be happy to collect interesting links and more information on the implementation of Dialogflow CX.

20 days ago

MarkusKCommunity Moderator

posted in AI and Machine Learning

Machine Learning fast

Have you thought about using machine learning to solve a problem but you are not sure if you can solve it fast with ML? If you decide you want to give it a try, but you don’t have much time to build a model from scratch, what are your options? And finally, what if you do not have enough data to train the model? Dale Markowitz, Applied AI Engineer at Google, provides a fast overview on how to approach these questions in this 13 minutes I/O 2022 video. https://youtu.be/BjTNJSQLIeA

21 days ago

slindy315C2C Team Member

posted in AI and Machine Learning

Join us for The Data Cloud & ML Asia Pacific Summit!

The Data Cloud & ML Asia Pacific Summit is coming live to your screens, this 21-22 June! See how unified data solutions and the best in #ML can unlock limitless innovation in your business. Get ready for:Real world use cases Product demos Hands-on labs Register now [LINK]

27 days ago

BeverleyCommunity Member

posted in AI and Machine Learning

Join us for BigQuery ML: Easy Access to Machine Learning

On June 14th we're hosting BigQuery ML: Easy Access to Machine Learning.Join Mike Walker and Rob Vogelbacher, AI/ML Specialist Customer Engineers at Google Cloud, for a one-hour BigQuery Machine Learning overview and deep dive including:- Why your analytics data should be in BigQuery- BigQuery ML capabilities- Demos and getting started with BigQuery MLRegister here: https://community.c2cglobal.com/events/bigquery-ml-easy-access-to-machine-learning-139

28 days ago

twellischGoogle Employee

posted in AI and Machine Learning

3 reasons to register for the Applied ML Summit today!

The Applied ML Summit is exactly a week away! Here are the top three reasons you should join our event: Our opening keynote: Hear from Andrew Moore, VP and General Manager of Cloud AI and Industry Solutions at Google Cloud, and Priyanka Vergadia, Developer Advocate at Google Cloud, on accelerating the deployment of predictable ML in production. Insights in practitioner sessions: Discover how data scientists and ML experts at companies like Vodafone, Glance, General Mills, H&M, and CNA Insurance are developing, deploying, and safely managing long-running, self-improving AI services with Google Cloud. The latest product announcements: Be among the first to find out about the newest capabilities across Vertex AI, BigQuery ML, AutoML, and our integrated data services.Click here to register today!

1 month ago

MarkusKCommunity Moderator

posted in AI and Machine Learning

An introduction to MLOps with TensorFlow Extended (TFX)

Machine Learning (ML) model code accounts for approximately 5% of the total code needed to train, deploy, and run ML models in production according to Google research. The goal of MLOps is a production-level process, similar to DevOps, but with data as a first-class citizen. Robert Crowe, Tensorflow Developer Engineer, introduces TFX, an open-source project, in this 13 minutes I/O 2022 video. If you are interested in getting started with MLOps, this video is for you.https://io.google/2022/program/8f7765f2-2357-4829-8c87-e54d81e999a0/

1 month ago

MarkusKCommunity Moderator

posted in AI and Machine Learning

Faster model training and experimentation with Vertex AI

When developing a machine learning model, running multiple Trials of your training code with different values can be very time-consuming. Serverless hyperparameter tuning and multi-GPU setup are two services to make model training faster with Vertex AI, Google’s managed AI platform. Nikita Namjoshi demonstrates in this I/O 2022 video how to use these features. They are real time-savers.https://io.google/2022/program/934cbc5f-42bb-4f6c-99fe-4972995eb381/

1 month ago

Yuri Matelli Calazans LuzCommunity Member

asked in AI and Machine Learning

Scalability of the endpoints in Vertex

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!

1 month ago

twellischGoogle Employee

posted in AI and Machine Learning

Only 3 weeks until the Google Cloud Applied ML Summit!

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!

1 month ago

twellischGoogle Employee

published in AI and Machine Learning

Register for the Google Cloud Applied ML Summit, June 9!

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!

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1 month ago

MarkusKCommunity Moderator

posted in AI and Machine Learning

10 Enterprise AI trends for 2022

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

1 month ago

hannahparkerGoogle Employee

posted in AI and Machine Learning

In case you missed the "How Vertex AI Helps Startups Thrive" Deep Dive last month!

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

2 months ago

pstobbsCommunity Member

asked in AI and Machine Learning

What models/libraries are included in AutoML Tabular?

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)

3 months ago

dai-tokyoCommunity Member

posted in AI and Machine Learning

I am a big fan of BigQuery Connected Sheet. Anyone using it?

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.

3 months ago

Priyanka VergadiaGoogle Employee

posted in AI and Machine Learning

Google Cloud AI Simplified: Vertex AI Video Series

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

3 months ago

alexandria.johnsonC2C Team Member

posted in AI and Machine Learning

Enhance Customer Service with Conversation AI on Google Cloud Recording Available!

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

4 months ago

DanielZCommunity Member

posted in AI and Machine Learning

Serverless Data Warehousing meetup, tonight!

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

4 months ago

ekaramCommunity Member

asked in AI and Machine Learning

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