AI and Machine Learning
Introduce efficiencies to improve operations and add intelligence for digital transformation of products or services.
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Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are the leading cloud providers by a long shot. Though late to the party, GCP has seen robust growth over the years.Here is how GCP offers more benefits than AWS, Azure: Tensor Processing Unit (TPU) Vertex AI Open-source Speech and translate APIs AutoML Read more here
The Google Cloud AI Platform team has been heads down the past few months building a unified view of the machine learning landscape. This was launched at Google I/O as Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models.What is it? How good is it? What does it mean for data science jobs?Read it here.
Google Cloud’s whitepaper overview of the MLOps life cycle, MLOps processes, and capabilities and why they’re important for successful adoption of ML-based systems. It also deep dives into concrete details of running a continuous training pipeline, deploying a model, and monitoring the predictive performance of ML models.Have you read/downloaded it?
Learn how insurance companies use Google Cloud's Public Datasets program, including National Oceanic and Atmospheric Administration (NOAA)’s severe storm data, to do predictive analytics and create better risk assessments.Read the article hereImage Source: Google Cloud BlogGoogle Cloud’s Public Datasets is just one resource within the broader Google Cloud ecosystem. Do you use it? If yes, which datasets have you used?
A new feature is announced to Google Cloud’s Translation services, Document Translation, now in preview, for Translation API Advanced. This feature allows customers to directly translate documents in 100+ languages and formats such as Docx, PPTx, XLSx, and PDF while preserving document formatting.Instead of the Google-managed model, you can also use your own AutoML Translation models to translate documents. The new Document Translation feature translates business documents quickly and easily with the SOTA translation models and also combines Translation API Advanced features to easily control custom translations through a glossary or models you have trained on AutoML.Image Source: Official Google Cloud Blog
Attention Transformers or Transformers Attention?Is it the same? What is Attention? What are the Transformers?Once again Dale helps us understand these buzz words!https://daleonai.com/transformers-explained Image Source: Dale on AI (daleonai.com)Although Google Cloud has the Cloud Natural Language with the: AutoML Natural Language Natural Language API Healthcare Natural Language AI it’s always good to know how things work. Do you agree?
In this new series of blog posts, PyTorch on Google Cloud, we will learn how to build, train and deploy PyTorch models at scale and how to create reproducible machine learning pipelines on Google Cloud.Image Source: Sesame Street 80sI used to work with PyTorch. But never on GCP For me, it was better than TensorFlow. Now, I believe that TensorFlow 2 is a lot better.What do you think?
Google Arts & Culture creates immersive experiences for people to learn about art, history, culture, and more.Google Arts & Culture is committed to supporting the preservation of heritage and cultural landmarks - including spoken language - through the use of modern technology.The magic of Woolaroo is that it is open-source, which means any person or organization can use it to build something for their own endangered language. Woolaroo uses Google Cloud Vision API, which derives insights from images using AutoML or pre-trained models to quickly classify images into millions of predefined categories. This makes AI accessible and useful to more people as AutoML automates the training of these machine learning models.Read the article here.Image Source: Official Google Cloud BlogI have used AutoML tables for a customer. Made my life so easy. I still haven;t used the Cloud Vision API though. What is your experience?
Contact Center AI (CCAI) brings Google’s innovation in conversational AI to solve the most challenging customer service needs while lowering operational costs.Agent Assist for Chat is a set of public APIs that your engineering team can integrate directly into an agent desktop to control the agent experience from end-to-end. For a more out-of-the-box solution, we have partnered with LivePerson and 247.ai to build Agent Assist directly into their agent desktops.To learn more, check out the Agent Assist webpage. Give Agent Assist a try by training a model and then testing it using the Agent Assist simulator.Read the article here.Image Source: Official Google Cloud BlogHave you used it? What is your opinion?
Security and privacy are particularly important when it comes to AI because confidential data is often at the heart of AI and ML projects.This blog post focuses on securing the following high-level notebook flow at all relevant security layers.Google Cloud is adding to their portfolio of blueprints with the publication of their Protecting confidential data in AI Platform Notebooks blueprint guide and deployable blueprint, which can help us apply data governance and security policies that protect our AI Platform Notebooks containing confidential data.Image Source: Official Google Cloud BlogFrom our JupyterLab environment to AI Platform Notebook and its security perimeter!Awesome, right? What do you think?
Hi guys , Do check out this event by Google Cloud where we can learn on how to apply groundbreaking machine learning technology in projects, keep growing our skills at the pace of innovation, and boost our career.Link : https://cloudonair.withgoogle.com/events/summit-ml-practitioners
Quantiphi has built a serverless real-time credit card fraud detection solution.This article is amazing and it gives insights of their architecture. How they used BigQuery and BigQuery ML, how they hosted BigQuery ML on AI Platform for online predictions on streaming data using Dataflow, how they set up alerts/threats with Pub/sub and how they created operational dashboards using Data Studio.If you have any case study as amazing as this, share it with the rest of our community.You can always connect with @sabina.bhasin if you want to write an articleCheck out this tutorial to learn more about this pattern and how it can be used and adapted. Feel free to reach out to their teams at Google Cloud and Quantiphi for help in making it work best for your company.
FREE Course + Certificate "Introduction to Machine Learning" (by Duke University) on Coursera until April 30th
I know, there is not much time left until April 30th, but Coursera offers the FREE course + certificate “Introduction to Machine Learning” (by Duke University). There are 8 more free courses on the topics of GCP, AWS etc. Check it out here: https://www.classcentral.com/report/coursera-free-certificates/
People were confined to their homes throughout 2020. Lockdowns and social distancing restrictions made people spend hours in front of the TV and digital gadgets. As one can imagine, demand for media went up and subscriptions to the multiple video streaming platforms skyrocketed. According to a report released by the Motion Picture Association in March 2021, subscriptions to online video services surpassed one billion in 2020. It has reached 1.1 billion globally (26% Y-O-Y growth). The global home/mobile entertainment market reached $68.8 billion USD (23% growth over 2019). Subscription in the United States reached 308.6 million (32% growth) and the home/mobile market reached $30 billion (21% growth). We expect to see the end of this pandemic in near future through massive vaccination drives, lockdowns, and preventive measure campaigns, people may still hesitate to participate in outdoor entertainment activities or visiting movie theaters. Along with the social distancing concerns, th
Learn how New York has deployed Google's Cloud virtual agent technology to ensure no one is left behind. Residents can appointments and get vaccine information across chat, text, web, and mobile.https://cloud.google.com/blog/topics/public-sector/how-google-cloud-enabling-vaccine-equitysource https://imgur.com/gallery/dNAH1KZHave you used a virtual agent? In what case? Are you satisfied?
Completing a video game is hard. Retaining users is even harder.Check out how you can use BigQuery ML to run propensity models on Google Analytics 4 data from your gaming app to determine the likelihood of specific users returning to your app.https://cloud.google.com/blog/topics/developers-practitioners/churn-prediction-game-developers-using-google-analytics-4-ga4-and-bigquery-mlAwesome, right? 😀
For those who I’ve talked to about AI and ML, you realize how much I enjoy Dale’s, Dale on AI segments. She pairs up impeccable storytelling, with a penchant for going deep on the tech, while providing fun, everyday use cases and enough leave behind tutorials that anyone can feel empowered to get their hands dirty. Her “Beginner’s Guide to Painless ML on Google Cloud” is no exception. Check it out here and let me know what you think. I’d love to get her on an upcoming C2C connect to share her story with our AI/ML community. A few well-quoted pieces from you all would go a long way :)https://daleonai.com/painless-gcp-mlJB
Google Cloud is offering no-cost training opportunities to help you gain the latest AI and machine learning skills. You’ll have a chance to learn more about the new Document AI along with Explainable AI, Looker, BigQuery ML, and Dialogflow CX.Save your spot to learn about DocAI here. Reserve your seat here to learn about Explainable AI. Sign up here to get access how to use Looker to automate the data pipeline. Register here to watch the BigQuery ML webinar and sign up here to find out how to build demand forecasting models with BigQuery ML. Register here to understand the ins and outs of Dialogflow CX, lifelike conversational AI with virtual agents (chat and voice bots).https://cloud.google.com/blog/topics/training-certifications/ai-ml-training-opportunities-from-google-cloudby ABC NetworkHave you registered to any of them?
At the Community Connect 2020, 12/12, event from GDG Europe I did a talk. “From hungry to Full in 30 minutes”. I made crepes live for the attendees.4 days later, Google Cloud copied my session and it evolved into ML. Dale Markowitz and Sara Robinson decided to create AI baking recipes.Today,Sara with Amir Dehbi created the Maltesers® AI Cakes (4d6172730a) using Google Cloud AI Platform and TensorFlow. When the legendary confectionery manufacturer Mars, Inc. approached them for a Maltesers + AI kitchen collaboration they couldn’t resist.Image from Google Cloud official BlogYou can read the full article, check out the pictures from the baking process and download the recipe here 👉 https://cloud.google.com/blog/products/ai-machine-learning/baking-with-maltesers-marmite-and-cloud-aiI think I will try it one of the next weekends.Has anyone in our community created such a thing in the past?
For folks aspiring to jump into the nascent field of MLOps, Andrew Ng hosted a good talk today around transitioning from operating as a model-centric to a data-centric group throughout all stages of the ML project lifecycle.
I absolutely loved my conversation with Cai GoGwilt from Ironclad last week for our C2C Navigators offering.GoGwilt is a cellist, a programmer, and oh yes, CTO of Ironclad, the legal technology firm he co-founded. We discussed how AI is used to improve the contracting collaboration process and so, so much more.Check out the key conversation clips in the link below. What is sticking with you? Have you used AI? Did you know AI could be using in legal contracting? Tell me below
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