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How Intuit Uses Amazon SageMaker to Manage Machine Learning at Scale, AWS San Francisco Summit 2018

Intuit is all-in on AWS and uses Amazon SageMaker to train its machine-learning models quickly and at scale, cutting deployment times by 90 percent. Intuit devlops accounting, financial, and tax-preparation software such as TurboTax, Mint, and Quickbooks. Nhung Ho, Head of Data Science at Intuit Quickbooks, spoke onstage at the 2018 AWS San Francisco Summit.

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  • Enterprises

  • Startups

  • Public Sector

  • Big Data

    Collect and process colossal ammounts of data quickly and cost-efficiently.

    Financial Industry Regulatory Authority

    FINRA uses AWS to capture, analyze, and store a daily influx of 75 billion records.

    Unilever

    Unilever uses AWS to launch and analyze digital marketing campaigns faster.

    The Kellogg Company

    Kellogg's uses AWS to to deliver spend analyses and data simulations in minutes.

  • Data Center Migration

    Migrate your on-premises workloads to AWS.

    AOL

    Using AWS, AOL has been able to move mission-critical workloads to the cloud, extend its global reach, and save millions of dollars on energy resources.

    Conde Nast

    In just three months, Condé Nast was able to migrate over 500 servers, one petabyte of storage, various mission critical applications, and over 100 database servers into the AWS Cloud.

    InfoSpace

    Using AWS, InfoSpace migrated its full data center within 6 months and can now easily manage its Microsoft stack on AWS.

  • Enterprise Solutions

    Run common and custom business applications securely and reliably.

    General Electric

    GE is migrating more than 9,000 workloads, including 300 disparate ERP systems, to AWS while reducing its datacenter footprint.

    Brooks Brothers

    Brooks Brothers runs its SAP and CRM solutions on AWS, gaining agility and cost savings.

    Intuit

    Intuit is saving money by moving its business applications to AWS.

  • Financial Services

    Accelerate agility, enable innovation, and protect sentitive data.

    Pacific Life Insurance

    Pacific Life uses AWS as part of a hybrid computing environment to control IT costs.

    NASDAQ OMX

    Nasdaq delivers data on demand cost-effectively using AWS.

    Robinhood

    Robinhood built its brokerage trading platform and a massively scalable securities trading app on AWS.

  • Healthcare & Life Sciences

    Enable agile research, collaboration, product development, and sales.

    Centers for Disease Control

    Using AWS, the CDC shares health information widely while avoiding hardware investments.

    Siemens Healthcare Diagnostics

    Siemens has built a secure, HIPAA-compliant, scalable platform on AWS.

    Brisol-Myers Squibb

    BMS used AWS to build a frugal, secure, self-provisioning research portal.

  • Internet of Things (IoT)

    Easily and securely connect devices to the cloud.

    Enel

    Enel is saving on compute and storage costs, reduced provisioning time, and has transformed its business.

    Rachio

    Rachio processes millions of IoT messages daily and has cut development costs by 40 percent using AWS. 

    iRobot

    iRobot uses AWS to support its vision for products used in connected homes, including its popular Roomba vacuum cleaners.

  • Machine Learning (ML) & Artificial Intelligence (AI)

    Machine Learning in the hands of every developer and data scientist.

    DigitalGlobe

    DigitalGlobe uses Amazon SageMaker to handle machine learning at scale.

    Butterfleye

    By combining Butterfleye’s on-camera facial functionality and Amazon Rekognition’s API, the company can identify and tag millions of faces accurately.

    Haptik

    Haptik incorporated Amazon Polly into the Haptik infrastructure. Amazon Polly turns text into lifelike speech. In effect, it lets developers build applications that can talk.  

  • Web & Mobile Apps

    Build and scale high-performance websites and mobile applications.

    Pinterest

    Pinterest uses AWS to manage multiple petabytes of data and perform daily refreshes of its massive search index.

    Airbnb

    Airbnb's web and mobile apps run on AWS and scale automatically to support demand.

    Spotify

    Spotify uses AWS's scalable IT to support usage peaks and can launch new features faster.

Discover what customers are doing with AWS today

  • Kaplan Containers Case Study

    Using Amazon ECS, Kaplan Test Prep automated Docker-container provisioning on AWS, cutting deployment times to minutes and reducing infrastructure costs by 40 percent. A leader in the test-preparation industry, Kaplan offers preparation for more than 100 standardized tests and licensing exams. The company uses Amazon ECS for container management and AWS CloudFormation for its automated container-provisioning platform.

  • AWS Case Study: DXL

    Destination XL (DXL) is the largest specialty retailer of big and tall men’s apparel in the United States, operating more than 200 retail and outlet stores that carry more than 2,000 private label and name-brand styles. The company was looking for a platform that would allow it to extend its in-store customer experience to online shoppers, and chose AWS.

  • Mercado Libre Case Study

    Mercado Libre is an e-commerce retailer based in Latin America. It operates in 16 countries and has 3,200 employees, 800 of which work in the IT division. The company needed a technological solution that did not hamper its developers and that could be adapted to existing tools, freeing up time to focus on creating and developing top products for customers. It now uses several AWS products including Amazon S3, Amazon EMR, Amazon Redshift for big data, and AWS Lambda, which, along with Amazon Kinesis, enables the development of real-time solutions quickly and easily.

  • Aon Case Study

    Aon Securities Inc. (ASI), a financial services provider, needed high-powered computing to run financial simulations to value and manage insurance retirement products. The company turned to AWS to run its financial simulation platform to reduce simulation time by leveraging GPU optimized instances. As a result, ASI has been able to lower the calculation and total reporting process time from 10 days to 10 minutes.

  • Shoptimize Case Study

    By developing its SaaS platform on AWS instead of on premises, Shoptimize has reduced IT costs by at least 30 percent and in turn, increased customers’ profitability. Shoptimize delivers an end-to-end ecommerce platform to leading brands; to establish their online presence and grow website sales. Its solution spans across technology, marketing, analytics and marketplace management. The company’s SaaS platform runs on Amazon EC2 instances with Amazon RDS providing database services and Amazon Kinesis delivering clickstream data from website visits, online marketing campaigns, and social-media interactions.

  • DXC Technology Case Study

    DXC Technology uses AWS to cut provisioning time from three months to one week, automate software patching, reduce costs by two-thirds, and ensure high availability and reliability. The organization provides IT solutions and services to thousands of enterprises across the globe. DXC uses AWS CloudFormation templates to automatically deploy development environments, and relies on Amazon EC2 Systems Manager to automatically apply software patches to internal and external applications.

  • Thomson Reuters Case Study

    Thomson Reuters uses AWS as the platform for its Product Insight analytics solution, which can process more than 4,000 events per second and scales automatically to accommodate increases in traffic during breaking news. Thomson Reuters provides professionals with the intelligence, technology, and human expertise they need to find trusted answers. Product Insight captures and processes data using Amazon Kinesis and AWS Lambda, stores it using Amazon S3, and secures it using AWS Key Management Service.

  • AWS Case Study: Haven Power

    Haven Power serves the electricity needs of business customers in the East of England. The company began using AWS for disaster recovery, and has since migrated its billing services and data warehouse to AWS. By using AWS, the company has seen response times drop from 500 milliseconds to 80 milliseconds and saved significant upfront capital expenditure by deciding not to upgrade its on-premise data center.

  • Siemens Mindsphere Case Study

    Siemens has deployed an IoT environment at a plant in Mexico in less than eight weeks, which will help it double efficiency. The company is Europe’s largest industrial manufacturer with a global workforce of more than 377,000 and annual revenue exceeding €80 billion. It uses the Siemens MindSphere Internet of Things platform, which is hosted on AWS, to connect its production machines to the AWS Cloud.

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