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AI Platform Unified Google Cloud AI Platform Unified Google Cloud Ana López-Mancisidor ([email protected]) Teresa Muñoz-Cruzado ([email protected]) Vanessa Peinó ([email protected]) 1 ¿Por qué Google en Agenda 1 IA? 2 Enfoque IA en GCP 3 CCAI & Documen AI 4 ML & APIs 5 AI Platform Unified Proprietary + Confidential ¿Por qué Google en IA? Nuestras fortalezas en IA / ML La organización de Contribuciones a la Calidad e Mejores prácticas investigación de IA comunidad de innovación en la de ingeniería para más grande del desarrolladores y producción empresas y MLOps mundo de código abierto (consumidor) Cloud AI Platform Ejemplos de ML de Google en producción Play Search App Recommendations Search Ranking Android Game Developer Experience Speech Recognition Keyboard and Speech Input Drive Chrome Gmail Intelligence in Apps Search by Image Smart Reply Spam Classification YouTube Video Recommendations Maps Photos Better Thumbnails Street View Image Photos Search Parsing Local Search Data Center Power Usage Ads Translate Reduced cooling Richer Text Ads Text, Graphic and energy 40% Automated Bidding Speech Translations Self Driving Car More than 1.5MM miles driven Cloud AI Platform Nuestras fortalezas en IA / ML Accesible Portabilidad Enterprise Seguridad via API (TensorFlow, Ready ( los datos de los clientes son de los clientes, y Kubeflow) Google no usará dicha información para mejorar nuestros modelos ya entrenados o los modelos de otros clientes) Cloud AI Platform Camino hacia la madurez en la IA Táctica Estratégica Transformacional Primeros casos de uso Varios sistemas desplegados y Aprendizaje continuo de ML y mantenidos en producción de ML MLOps Beneficios gracias a la mejora en la visibilidad de la información Modelos personalizados que Cultura centrada en el aprendizaje y permiten una ventaja competitiva experimentación continua Cloud AI Platform Proprietary + Confidential Enfoque IA en GCP Inteligencia Artificial en Google Cloud Invoca nuestras APIs: nuestros datos + nuestros modelos Modelos Construye tus propios modelos: Personalizados: tus datos + tu modelo tus datos + nuestro modelo Cloud Cloud Cloud Vision API Speech API Jobs API Auto ML Cloud Cloud Natural Cloud Video Translation API Language API Intelligence API Cloud ML Engine Kubeflow Dialogflow Cloud Speech Data Loss Synthesis API Prevention API Cloud AI portfolio Contact Center AI Document AI ML APIs: pre-trained models with a single REST API Desarrolladores request de aplicaciones AutoML: train and serve your own models, no model code required BQML: train and serve models with BQ data using a single SQL query AI Platform: Notebooks, Hub, Pipelines, Training & Prediction Kubeflow: deploy ML pipelines for pre-processing Modelos data, training, and serving models on Kubernetes personalizados Deep Learning VM images: spin up VMs with popular ML frameworks pre-installed ML frameworks: TensorFlow, XGBoost, Sklearn, PyTorch, and more Cloud AI Platform Proprietary + Confidential CCAI What is Contact Center AI? Automates basic chat and Makes human agents Unlocks insights about voice interactions more effective call drivers Dialogflow Agent Assist CCAI Insights Insights Understand metrics (omnichannel, across chat/voice/IVR) Voice Dialogflow + telephony Real time prompts Virtual Human Agent assist agent Chat agent Dialogflow bot Dialogflow Advanced conversational AI from google (TTS, STT, NLU) Understand ● Speech-to-text Enabling a Talk conversation that ● Text-to-speech is close to human Interact ● Dialogflow ● Document assist ● Sentiment analysis Understand Using the most advanced deep-learning neural network algorithms, Google Cloud’s Speech-to-text performs speech recognition withunparalleled accuracy. 10x 120+ ~5000 Larger vocabulary than the languages covered with more distinct phrase hints can be entire Oxford English Dictionary coming provided at real-time to customize the recognizer ~4 Formatting Real-time languages can be Real-life, context-specific Returns text as it’s recognized auto-detected formatting (e.g., $ or phone # and can analyze short & format) automatically added long-form audio Talk With industry-leading voice quality, Google Cloud’s Text-to-speech enables a natural, conversational manner across channels. 180+ 92 21 Voices you can choose from Wavenet voices Languages covered with more coming Wavenet REST/GRPC Pronunciation Exclusive multilingual access to Seamless integration with an Allows pauses, numbers, date & DeepMind’s WaveNet REST or GRPC capable time formatting, and other technology, which offer the application nuances most human-like voices Standard WaveNet Try Text-to-Speech Try seamless, immediate, with any text! speech-text-speech translation! Interact Reaching +1Mn developers, Dialogflow is the emerging standard for building natural and rich conversational experiences across multiple channels. 1M+ 32 17 developers on the platform Languages and variances with Single Click integrations with more coming popular chat and messaging platforms 2000 REST/GRPC Flexible Intents. Speak to us if you need HIPAA and PCI Compliant and Platform agnostic built on GCP, more. similar SLO than other Cloud with Cloud Support and SLA products available. 7 SDKS to to integrate in your applications (python, node, java, Go, etc) Proprietary + Confidential Document AI Document AI extracts & classifies information from unstructured documents 01 02 03 Read it Understand it Make it useful Life of a document CATEGORIZE CONTENT DETECT DIAGRAMS INGEST & FILTER Categorize patent’s content Identify diagram and Document is read in from using NLP model. corresponding x and y Cloud Storage. coordinates. Unstructured document, multiple formats and languages OCR EXTRACT ENTITIES STORAGE Extract out raw text into Identify named entities in Write out and store json format for the raw text. results from the pipeline downstream NLP process. into BigQuery Demo: https://cloud.google.com/solutio ns/document-ai What is Document AI? DocAI turns Document image unstructured content {Class: /us/gov/ID/Driverslicense into structured data. State: Ohio Name: Jane Doe Issued: 7/2/2018 Expires: 1/21/2021 } Structured data Invoice Parser I18n: English, French, Dutch, German, Spanish; 150+ more languages by March 2021 Proprietary + Confidential ML APIs Machine Learning APIs: Ready to Go Cloud Cloud Vision API Speech API Cloud Cloud Natural Cloud Video Translation API Language API Intelligence API Vision API Object recognition Logo and facial analysis Text extractions Detect inappropriate content Natural Language API Classify content Detect sentiment Extract entities Analyze syntax Demo time! https://cloud.google.com/vision/docs/drag-and-drop Natural Language API: Sentiment Analysis Inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. ● Score: positive, negative, neutral ● Magnitude: indicates the overall strength of emotion (both positive and negative) within the given text Demo: Analyze the sentiment of user opinions with Google Cloud AI Fills Feedback Form Analyze Sentiment Opinion User Portal Feedback Form Natural Language API - Updates Survey Ejecuta cálculos Sentiment Analysis Cloud Runs queries for Functions aggregated data Portal Aggregated Data Alerts (Pub/Sub) Administración Survey BigQuery Report Updates data for visualization analysis ML Frameworks: AutoML: Machine Learning APIs: Total Control Bring Your Own Data Ready to Go (We Do the Rest) Cloud Cloud Vision API Speech API TensorFlow AI Platform Cloud Cloud Natural Cloud Video Spark ML Cloud Dataproc Translation API Language API Intelligence API light light chair chair sofa table light mod.A light mod.B chair mod.1 chair mod.2 sofa mod.Y table mod.Z Data Tune ML model preprocessing ML model design Evaluate Deploy Update parameters Data Tune ML model preprocessing ML model design Evaluate Deploy Update parameters Large computational resources Machine learning expertise Dataset Cloud AutoML Generate predictions with a REST API Train Deploy Serve AutoML Vision Upload and label images Train your model Evaluate Cloud AutoML Handbag Shoe Hat AutoML Natural Language Upload and label text Train your model Evaluate Sports Lifestyle Money Tech Cloud AutoML Travel Sports Lifestyle, Tech Money AutoML Tables Upload labeled Train your model Evaluate (Classification structured data / Regression) ID Feature Feature ... ID Feature Feature ... Label Class A ... Class B ... ... Class C ... Cloud AutoML Class D Model is now trained and ready to make predictions This model can scale as needed to adapt to customer demands AutoML Edge Deploy to edge devices Ingest data Use Google’s Use AutoML Vision Export Data Labeling Edge to train your high-accuracy, Service if needed model and optimize low latency model it for desired latency AutoML Edge Easily build and deploy high-accuracy, low-latency models to edge devices Classify images on-device Achieve fast, Supports a variety of Ensure privacy by keeping and trigger actions in state-of-the-art edge devices data on the device, never real-time, even with limited prediction accuracy for a leaving your enterprise or unreliable connectivity range of applications premise Demo time! Comprehensive Suite for AI Developers Sight Language Conversation Structured Data Dialogflow Enterprise Cloud Vision Cloud Translation AutoML Tables Edition Cloud Video Cloud Natural Recommendation AI Cloud Text-to-Speech Intelligence Language (now GA!) Cloud AutoML Vision AutoML Translation Speech-to-Text Cloud Inference API (alpha) AutoML Video
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