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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

  • Panagora Case Study

    Panagora uses AWS to reduce the risk of downtime to almost zero for its e-commerce clients. The Swedish company designs, builds, hosts, and manages online stores, and provides e-commerce consulting. It hosts its customers’ stores on AWS, using services including Amazon Elastic Compute Cloud (Amazon EC2) with Windows Server, like Amazon Relational Database Service (Amazon RDS), and Elastic Load Balancing to distribute traffic.

  • Weever Apps Case Study

    Weever Apps migrated its solution to AWS for enterprise-grade support and uptime. The company helps clients digitize business processes and use data effectively. It uses Amazon RDS to host MySQL and PostgreSQL databases, plus AWS CloudFormation and Amazon ElastiCache for software deployment.

  • AWS Case Study: MPAC

    MPAC runs its core property-valuation engine 5,000 percent faster at one-tenth the cost using AWS instead of its older IT architecture. MPAC—the Municipal Property Assessment Corporation—is a public-sector organization responsible for providing valuations for more than five million properties across Ontario, Canada’s largest province. The company moved from its traditional IT architecture to be more responsive and agile in serving its customers.

  • 3M HIS Service Catalog Case Study

    3M Health Information Systems (HIS) is using AWS Service Catalog to reduce time to market, engineer and provision development pipelines in minutes, and meet corporate governance, security, and compliance requirements. 3M HIS is a worldwide provider of software for the healthcare industry. The company uses AWS Service Catalog and AWS CodePipeline to launch preapproved development pipelines engineered for specific product teams, and IAM to assign roles that restrict users to the fewest privileges necessary.

  • Hearst Data Analytics Case Study

    With its data analytics pipeline, the Hearst Corporation processes clickstream data from more than 300 websites and delivers it to website editors within minutes. Hearst is one of the largest diversified media and information organizations in the world, with more than 360 businesses. The company uses Amazon Kinesis Streams and Amazon Kinesis Firehose to transmit and process more than 30 terabytes of clickstream data daily.

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