Presentation from Google Developer Day Event in Ahmedabad, March 2017. It covers an overview of multiple Cloud Machine Learning APIs like Translate, Vision, Video Intelliigence, Speech and Natural Language.
Google Cloud Platform Update - NEXT 2017Romin Irani
Presentation from Google Developer Day India held in Ahmedabad in March 2017. The presentation covers key updates from Google Cloud NEXT 2017 and interesting APIs for developers.
Google Cloud Platform for the EnterpriseVMware Tanzu
SpringOne Platform 2016
Speakers: Jay Marshall; Principal Strategic Advisor, Google. Vic Iglesias; Solutions Architect, Google.
Whether you are running Spring Apps on Tomcat or Spring Boot on Cloud Foundry, Google Cloud Platform allows you to deploy all of your applications on the same global infrastructure that allows Google to return billions of search results in milliseconds, serve six billion hours of YouTube video per month, and provide storage for almost a billion Gmail users. Join the Google team as they illustrate how Google's cloud was built for the enterprise.
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.
Google Cloud Platform: Prototype ->Production-> Planet scaleIdan Tohami
As one of Big Data’s Founding Fathers, Google explored the technological changes we faced over the past 10 years and present their solutions to the new data challenges within the Google Cloud ecosystem
Presentation from Mumbai Tech Meetup on December 13, 2015. This deck presents various updates to the Google Cloud Platform in the last 6+ months. Covers : App Engine, Compute Engine, Cloud Vision API, Cloud Shell, Containers and more.
Google Cloud Platform itself has been on a very rapid rise over the past few years. It has a lot of advantages over AWS or Microsoft Azure. In this slideshow, you can learn more about these top advantages. For more details, you can also read this post https://kinsta.com/blog/google-cloud-hosting/
Google Cloud Platform Update - NEXT 2017Romin Irani
Presentation from Google Developer Day India held in Ahmedabad in March 2017. The presentation covers key updates from Google Cloud NEXT 2017 and interesting APIs for developers.
Google Cloud Platform for the EnterpriseVMware Tanzu
SpringOne Platform 2016
Speakers: Jay Marshall; Principal Strategic Advisor, Google. Vic Iglesias; Solutions Architect, Google.
Whether you are running Spring Apps on Tomcat or Spring Boot on Cloud Foundry, Google Cloud Platform allows you to deploy all of your applications on the same global infrastructure that allows Google to return billions of search results in milliseconds, serve six billion hours of YouTube video per month, and provide storage for almost a billion Gmail users. Join the Google team as they illustrate how Google's cloud was built for the enterprise.
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.
Google Cloud Platform: Prototype ->Production-> Planet scaleIdan Tohami
As one of Big Data’s Founding Fathers, Google explored the technological changes we faced over the past 10 years and present their solutions to the new data challenges within the Google Cloud ecosystem
Presentation from Mumbai Tech Meetup on December 13, 2015. This deck presents various updates to the Google Cloud Platform in the last 6+ months. Covers : App Engine, Compute Engine, Cloud Vision API, Cloud Shell, Containers and more.
Google Cloud Platform itself has been on a very rapid rise over the past few years. It has a lot of advantages over AWS or Microsoft Azure. In this slideshow, you can learn more about these top advantages. For more details, you can also read this post https://kinsta.com/blog/google-cloud-hosting/
Presentation for Introduction to Google Cloud Platform. This PPT provides basic understanding for services provided by Google Cloud Platform like Compute, Storage, VPC, IAM.
Google Cloud Connect @ Korea
- Google Cloud Vision
- G Suite Product Roadmap
- Google Cloud Security
- Google Cloud Machine Learning
- G suite Customer Stories
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
This is a 1-hr tech talk designed for developers to give a comprehensive, vendor-agnostic overview of cloud computing, primarily targeting educators in the higher education market but is open to any developer. This is followed by an introduction to products in Google Cloud, focusing on the serverless products. The talk ends with several inspirational examples of what can be built with Google Cloud
GDG DevFest Romania - Architecting for the Google Cloud PlatformMárton Kodok
Learn about FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and platforms that hides the management of servers from the user and have changed how we develop and deploy future software.
We discuss the difference between an event-driven approach - this means that you can trigger a function whenever something interesting happens within the cloud environment - and the simpler HTTP approach. Quota and pricing of per invocation, and the advantages and disadvantages of the serverless systems.
Democratizing AI/ML with GCP - Abishay Rao (Google) at GoDataFest 2019GoDataDriven
Every company today is talking about AI/ML, but when most companies talk about AI/ML in their transformation journey, you hear terms like Proof of Concept, Feasibility Study, Pilot, A/B Test. We are at the peak of AI's hype, but only 12% of enterprises have deployed AI in production. Google aims to make big data processing available for everyone, the possiblities of Big Query ML are endless: Marketing, retail, industrial and IoT, media, gaming, and so fort.
Google Cloud Platform Solutions for DevOps EngineersMárton Kodok
learn the DevOps essentials about cloud components, FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and how we develop and deploy cloud software. You will get hands on information how to build, run, monitor highly scalable and flexible applications optimized to run on GCP. We will discuss cloud concepts and highlights various design patterns and best practices.
Google Cloud Platform Tutorial | GCP Fundamentals | EdurekaEdureka!
( Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-a... ) This Tutorial on Google Cloud Platform will provide you a detailed introduction to GCP and it's Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the various Zones and Regions where the servers are hosted.
ML Kit is the SDK that makes machine learning features more straightforward for the mobile developers to incorporate in their apps. Since ML Kit has been made a core ingredient of Firebase ,its robust ML APIs can be implemented seamlessly in both android & IOS apps like it’s any other feature such as analytics, crashlytics etc.
The flexibility provided by ML Kit for mobile developers to use On-device or On-Cloud ML Apis as per the use case is quite significant . In this session we will take deep dive in the different ready to use APIs of ML Kit encapsulating the features of Mobile Vision, Google Cloud Vision API, TensorFlow Lite and Neural Network API.
Giovanni Galloro - Make your applications see, understand and talk with Googl...Codemotion
We will explore some of the AI capabilities present on GCP that are making Machine Learning accessible to any developer: from recognizing what’s inside an image to understand what your users are saying and how they feel about it and answering their questions.
Presentation for Introduction to Google Cloud Platform. This PPT provides basic understanding for services provided by Google Cloud Platform like Compute, Storage, VPC, IAM.
Google Cloud Connect @ Korea
- Google Cloud Vision
- G Suite Product Roadmap
- Google Cloud Security
- Google Cloud Machine Learning
- G suite Customer Stories
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
This is a 1-hr tech talk designed for developers to give a comprehensive, vendor-agnostic overview of cloud computing, primarily targeting educators in the higher education market but is open to any developer. This is followed by an introduction to products in Google Cloud, focusing on the serverless products. The talk ends with several inspirational examples of what can be built with Google Cloud
GDG DevFest Romania - Architecting for the Google Cloud PlatformMárton Kodok
Learn about FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and platforms that hides the management of servers from the user and have changed how we develop and deploy future software.
We discuss the difference between an event-driven approach - this means that you can trigger a function whenever something interesting happens within the cloud environment - and the simpler HTTP approach. Quota and pricing of per invocation, and the advantages and disadvantages of the serverless systems.
Democratizing AI/ML with GCP - Abishay Rao (Google) at GoDataFest 2019GoDataDriven
Every company today is talking about AI/ML, but when most companies talk about AI/ML in their transformation journey, you hear terms like Proof of Concept, Feasibility Study, Pilot, A/B Test. We are at the peak of AI's hype, but only 12% of enterprises have deployed AI in production. Google aims to make big data processing available for everyone, the possiblities of Big Query ML are endless: Marketing, retail, industrial and IoT, media, gaming, and so fort.
Google Cloud Platform Solutions for DevOps EngineersMárton Kodok
learn the DevOps essentials about cloud components, FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and how we develop and deploy cloud software. You will get hands on information how to build, run, monitor highly scalable and flexible applications optimized to run on GCP. We will discuss cloud concepts and highlights various design patterns and best practices.
Google Cloud Platform Tutorial | GCP Fundamentals | EdurekaEdureka!
( Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-a... ) This Tutorial on Google Cloud Platform will provide you a detailed introduction to GCP and it's Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the various Zones and Regions where the servers are hosted.
ML Kit is the SDK that makes machine learning features more straightforward for the mobile developers to incorporate in their apps. Since ML Kit has been made a core ingredient of Firebase ,its robust ML APIs can be implemented seamlessly in both android & IOS apps like it’s any other feature such as analytics, crashlytics etc.
The flexibility provided by ML Kit for mobile developers to use On-device or On-Cloud ML Apis as per the use case is quite significant . In this session we will take deep dive in the different ready to use APIs of ML Kit encapsulating the features of Mobile Vision, Google Cloud Vision API, TensorFlow Lite and Neural Network API.
Giovanni Galloro - Make your applications see, understand and talk with Googl...Codemotion
We will explore some of the AI capabilities present on GCP that are making Machine Learning accessible to any developer: from recognizing what’s inside an image to understand what your users are saying and how they feel about it and answering their questions.
MongoDB World 2019: Gaining ML Insight with Google Vision API and MongoDBMongoDB
We will demonstrate how easy it is to use the Google Vision API to gain additional insights from a batch of photos that have no prior metadata attached. By using this workflow, we will be able to quickly build a descriptive metadata database that can be leveraged for a variety of business use-cases.
Cloud computing overview & Technical intro to Google Cloudwesley chun
This is a 60-min tech talk designed for developers to give a comprehensive, vendor-agnostic overview of cloud computing. This is followed by an introduction to products in Google Cloud, focusing on the serverless & machine learningproducts. The talk ends with several inspirational examples of what can be built with Google Cloud
MongoDB .local London 2019: Gaining ML insight on Google Cloud with Google Vi...Lisa Roth, PMP
We will demonstrate how easy it is to use the Google Vision API to gain additional insights from a batch of photos that have no prior metadata attached. By using this workflow, we will be able to quickly build a descriptive metadata database that can be leveraged for a variety of business use-cases.
MongoDB .local London 2019: Gaining ML insight on Google Cloud with Google Vi...MongoDB
We will demonstrate how easy it is to use the Google Vision API to gain additional insights from a batch of photos that have no prior metadata attached. By using this workflow, we will be able to quickly build a descriptive metadata database that can be leveraged for a variety of business use-cases.
How Google Cloud Platform can help in the classroom/labwesley chun
This is a 90-min tech talk along with hands-on exercises gives a comprehensive, vendor-agnostic overview of cloud computing, primarily targeting educators in the higher education market but is open to any developer. This is followed by an introduction to products in Google Cloud Platform, focusing on its serverless and machine learning products. .
This slides are for developers who interest in Google Cloud Platform and how to deploy and run their application on Google infrastructures. It gives details on Cloud EndPoint and how build a unique backend for multiple frontend on multiple platform (Web, Android, iOS,..)
Powerful Google developer tools for immediate impact! (2023-24 A)wesley chun
This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
The other version of this talk ("B") focuses more on serverless platforms.
A developer can now build out Cloud Native applications using our patterns-first approach. You simply select the type of building block you’d like to create followed by which services you’d like to incorporate into your application (i.e., Cloudant database, WatsonConversation, Push Notifications).
Similar to Introduction to Google Cloud Machine Learning APIs (20)
This deck was used to conduct a hands-on workshop at Mumbai Tech Meetup. It covers an introduction to Go, core language features, Object Oriented features of Go, Concurrency, API Servers and more.
This presentation gives a high level view of Internet of Things and where it stands today. It also contains a slide on how a Temperature Logger was built out using Arduino, Python and the Google Cloud Platform.
Gradle and Android Studio : Best of FriendsRomin Irani
This talk was given at Google DevFest Ahmedabad, December 2014. This talk focused on basics of Gradle and the role that in plays in Android Studio. It discussed key features that you should learn to get familiar with how Gradle works for you in Android Studio
Powering your Apps via Google Cloud PlatformRomin Irani
Presentation at Google DevFest Ahmedabad, December 2014. This talk gives an overview of Google Cloud Platform and then goes into Cloud Endpoints and building out a simple IoT Project
Development Workshop on ET1, Android and Motorola RhoElementsRomin Irani
This presentation is part of my 2-hour Development Workshop that I conducted at a Motorola Channel Power event. The workshop covered various development options on the ET1 and covered Native Android Development, HTML5 basics and a step by step breakdown of a RhoElements application that integrated device capabilities like barcode scanning.
Talk on Future of Enterprise Mobile App DevelopmentRomin Irani
I spoke on the future of Enterprise Mobile Development at a Motorola Channel Power conference in Yas Island, Abu Dhabi recently. This talk also mentioned about my experiments with Motorola RhoElements - an HTML5 framework
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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#AIFusionBuddyFeatures,
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#HowDoesAIFusionBuddyWorks
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...kalichargn70th171
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
4. Entire Spectrum of Services
Tensorflow
Open Source library for Machine Learning
Cloud ML
Build your Machine Learning Model and host it in Google Cloud
Machine Learning APIs
Multiple APIs like Vision, Video Intelligence, Jobs, Speech, Translation, Text and more
5. How do you choose one ?
Reference : https://cloud.google.com/blog/big-data/2017/03/announcing-google-cloud-video-intelligence-api-and-more-cloud-machine-learning-updates
6. Steps to using the ML APIs - 1 - 2 - 3
Enable the API in your Google Cloud Platform Project
Create a Service Account + Download the Service Account
Key
Use Application Default Credentials to identify yourself to
GCP (Use the Service Key downloaded above)
Use any of the Client SDKs available in multiple languages
7. Cloud Vision API - Insights from your images
Label / Face Detection
Image Attributes
Landmark Detection
Logo Detection
OCR Detection
Safe Search Detection
https://cloud.google.com/vision/
9. Cloud Speech API - Speech to Text powered by ML
Audio → Text
80 languages & variants
Audio uploaded on request and
integrated with GCS
Result Streaming supported
Noisy Environments & Context
https://cloud.google.com/speech
11. Cloud Natural Language API - Insights from
Unstructured Text
Syntax Analysis
Entity Recognition
Sentiment Analysis
Use in combination with Cloud Speech
and Vision API (OCR)
https://cloud.google.com/natural-language
14. Cloud Translation API - Dynamically Translate
among languages
Translate Many Languages
Language Detection
Supports more than 100 languages
Learning continuously via Logs
Analysis and Human Translation
List of Supported Languages
https://cloud.google.com/translation