AI and Machine Learning
Introduce efficiencies to improve operations and add intelligence for digital transformation of products or services.
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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
Kaggle, the well known online community of data scientists and machine learning practitioners, announced the co-sponsoring of a new prize with Google to support the developer community's usage of Google's open source frameworks!From January to June 2022, Kaggle and Google will award up to three $1000 prizes each month to data scientists and ML researchers who share high-quality community content (either notebooks or discussions) using JAX, Flax, Tensorflow, TF Lite, or Keras.For more information on what Kaggle is looking for in a notebook and to apply, click on the link below!Google Open Source Expert Prize
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
Hi everyone,Just a quick update on our C2C Connect: AI and ML chat today!, we only have one more AI and ML Coffee Chat before the end of the year, that will be next Monday December 13th, so join us if you want to attend the last one of the year. More coming next year!Today we bring up some articles to discuss:Unlocking opportunities with data transformation Incremental Data Ingestion in BigQuery using MERGE Supercharge your BigQuery Data Warehouse with Dataform Hands-Off Machine Learning with Google AutoMLWe also point that we are having 2 events related to AI and ML, this week here in C2CAlso Google has an event this December 8-9 with tracks about Data Engineering and MLCloud LearnAnd Serverless Toronto has an event today with our friend @DanielZ An Evening with Felipe Hoffa - Big Data guru from SnowflakeIn a different topic, we shared two interesting links to Google’s best practices for Cloud Architects, this two documents are important for cloud architects looking for the PCA Certif
Join us on 12/7 to learn about the ML Mindset for Managers. You’ll hear from KC Ayyagari: Senior Customer Engineer, on the importance of how to build big data and ML.Questions and topics discussed during this one-hour session will include: What is machine learning (ML)? What does it take to build big data and ML products? How to build big data and ML products efficiently Best practices for building your ML product Different use cases for ML with demos (time permitting) If you are a C-level executive or a product manager looking to understand and validate ML requirements for your products, this session is for you.
MediaAgility’s Tech Talk TuesdaysTopic Modeling - Analyzing Social Media Social media has impacted lives significantly. Almost every other person uses social media to engage with posts and share their opinions. This data can turn out to be very useful for influencers looking to find new content ideas. In this session, our experts, Jai Jain and Simran Gulati share insights on how to analyze social media content with a focus on comments from a YouTube video. With social media analysis, you can extract meaning out of the noise and determine current user demand. Join us for this informative session (with Q&A) hosted by experts at MediaAgility. 👉Watch more episodes here - bit.ly/TechTalkMA
You’re asking the exact same question I was asking myself about a year ago. I was working at the Apple Store and I wanted a change. I wanted to start building the tech I was servicing.I started looking into Machine Learning (ML) and Artificial Intelligence (AI).There’s so much going on in the field.Every week it seems like Google or Facebook are releasing a new kind of AI to make things faster or improve our experience.Don’t get me started on the number of self-driving car companies. This is a good thing though. I’m not a fan of driving and roads are dangerous.Even with all this happening, there’s still yet to be an agreed definition of what exactly artificial intelligence is.Some argue deep learning can be considered AI, others will say it’s not AI unless it passes the Turing Test.This lack of definition really stunted my progress in the beginning. It was hard to learn something which had so many different definitions.Enough with the definitions.How did I get started?My friends and I
Automation Anywhere and Google Cloud Partner to Enable Enterprises to Automate Common Business Processes
New strategic alliance will bring the Automation 360 platform to Google Cloud, and generate industry solutions that combine Google Cloud AI and ML technology with Automation Anywhere's award-winning, cloud-native RPA capabilitiesAutomation Anywhere, a leader in robotic process automation (RPA), and Google Cloud today announced a strategic, multi-year collaboration to accelerate intelligent automation adoption with enterprises on a global scale. With this partnership, Automation Anywhere's Automation 360 platform will be available on Google Cloud, and the two companies will mutually develop AI- and RPA-powered solutions, bring RPA capabilities to multiple Google Cloud products, and closely align go-to-market teams to help global businesses scale RPA capabilities. "By partnering with Google Cloud, we can help organizations leverage intelligent automation capabilities at a massive, global scale, and dramatically decrease the amount of time that teams spend on their most common, repetitive
MLOps became a hot buzzword - just like DevOps before it. It sparked a gold rush for software vendors, so it's hard to choose the best one for your needs. Vertex AI is a unified MLOps platform for the entire AI workflow on Google Cloud. It is the 3rd iteration of the Google Cloud ML platform (since its original launch), and we think they did it right (this time).That's why the neighbouring Serverless Toronto community invited 2 AI/ML gurus from GCP (Jarek Kazmierczak & Brian Kang) to introduce the Vertex AI you to. RSVP at https://www.meetup.com/en-AU/Serverless-Toronto/events/280162021/
Hi all,We’re excited to invite you to a Google Cloud Startup AI and ML Roundtable on November 16th. Google Cloud Customer Engineers and Startup Success Managers will be answering your questions + there will be time for networking so you can meet other startup leaders!Come with questions, solutions, and roadblocks that you would like to discuss with our team. Sing up and more information in the following link:We look forward to chatting with you next week!
Lifelong learning opportunities is becoming a focus for the human enterprise success. Legal Tech Group is for people interested into legal inputs & sharing knowledge, information and insightful contributions to self educators community in relation how law accessibility might look into digital industry era ahead(4.0 industry)
Hi all,We had fun this morning in the C2C Connect: AI and ML while following a demo lead by @MarkusK . We implemented a VertexAI solution uploading a dataset, training a model, and deploying an endpoint to consume it.We deployed a VertexAI image classification two weeks ago without much success because the dataset was too small to have a properly trained model. This week, @MarkusK was able to deploy a much larger model to classify text content. We concluded that the model was accurate enough to use it.Today's conversation and demo were based on the Hello text data: Set up your project and environment document found in Google's Vertex AI documentation site.@MarkusK also recorded a screencast with a high-level overview of that deployment. Don't miss next week's Monday meeting. We will have a little demo to fire up the discussion about the GitHub CoPilot Technical Preview Program.Here is the link for our C2C Connect events in case you are not registered yet:Thanks to @MarkusK for the dem
Today in our Monday Coffee Chat about AI and ML, we had fun using Vertex AI to train a model that looks for images with the logo of C2C on it!.Today, we load the dataset and train the model. Following Monday, we will create an endpoint and test our trained model. We uploaded and trained a set of 49 pictures. What do you think will happen?Will the trained model achieve more than 50% accuracy? Will it be 49 pictures enough to train a reliable model?Following Monday, let's find this as we wait for special guests coming to the AI and ML Coffee Chat in the coming weeks!If you haven't already, register here for the next session!
Hey folks --I was wondering if anyone here had thoughts about the new Vertex AI Workbench announcement, and how that might sit alongside offerings like Colab (including the Pro and Pro+ packages)?Rather than provisioning ever-larger laptops to data scientists in the company, we’ve been encouraging them to make use of cloud hosted tooling - and recently have seen an uptick in requests for the paid Colab packages. Unfortunately these are quite hard to manage at an organisational level, as it’s a credit-card purchase on an individual account, rather than something that is attached to organisational billing. It seems that the new Workbench offering might be a little more appropriate in this case, but I was wondering if anyone had a handy comparison of the services more generally?At first glance, it looks like Vertex AI might be a little more focused on productionising the notebook - which has been controversial in some circles :) - but I don’t know that there’s anything about it that would
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