Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Upcoming SlideShare
AWS re:Invent 2016: How Amazon is enabling the future of Automotive(ALX202)
Next

3

Share

AWS featuring Mechanical Turk_for Automotive_2014

AWS and Mechanical Turk for the automotive industry. Contains AWS automotive case studies, AWS overview, Mechanical Turk use case and application examples in automotive industry, Mechanical Turk background.

Related Books

Free with a 30 day trial from Scribd

See all

Related Audiobooks

Free with a 30 day trial from Scribd

See all

AWS featuring Mechanical Turk_for Automotive_2014

  1. 1. AWS for Automotive Industry featuring Mechanical Turk
  2. 2. It’s about the Customer AWS Customers & Use Cases Innovation Amazon Mechanical Turk Flexible Workforce AWS Overview Overview, Solution of Choice, Workloads Daniel Gray Amazon Mechanical Turk Principal, Business Development Seattle, WA
  3. 3. Trusted by Enterprises Worldwide Used by Government Agencies & Educational Institutions Worldwide 2014 Premier Tier Partners
  4. 4. Volkswagen Case Study #1: Volkswagen – real-time supply chain analytics Design Chain Supply Chain Upstream (Supplier, Design Partners) Downstream (Distributors, Dealers, Leasing/Rental Companies, Customers) Real-time Supply Chain Analytics Connected Car Mobile Apps Dynamic Web Applications Rendering Value Proposition • Scalability • Agility • Automation • Global Coverage Engineering Workplace PLM
  5. 5. Case Study #1: Volkswagen - cont‘d • Input batches • Processing temperature, humidity, pressure • Dimensions • Weight • Strength • Date of shipment • Carrier • Shipping service • Batch ID Commodity • Input batches • Processing temperature, humidity, pressure • Dimensions • Weight • Strength • Date of shipment • Carrier • Shipping service • Serial no. Part • Input serial no. • Processing temperature, humidity, pressure • Dimensions • Weight • Date of shipment • Carrier • Shipping service • Serial no. Module • Model • Configuration • Input serial no. • Processing temperature, humidity, pressure • Dimensions • Weight • Destination • Dealer, customer • Chassis no. Car • Tracking ID • Label • Pick-up station • Delivery station • Current location • Environmental data • Tracking ID • Label • Pick-up station • Delivery station • Current location • Environmental data • Tracking ID • Label • Pick-up station • Delivery station • Current location • Environmental data AWS Kinesis
  6. 6. Case Study #1: cont‘d Amazon Web Services AZ AZ AZ Durable, highly consistent storage replicates data across three data centers (availability zones) Aggregate and archive to S3 Millions of sources producing 100s of terabytes per hour Front End Authentication Authorization Ordered stream of events supports multiple readers Real-time dashboards and alarms Machine learning algorithms or sliding window analytics Aggregate analysis in Hadoop or a data warehouse Inexpensive: $0.028 per million puts Worldwide realtime Data Ingestion Service
  7. 7. Case Study #2: Siemens – PLM & Teamcenter http://www.plm.automation.siemens.com/en_us/products/teamcenter/cloud-plm.shtml • Hybrid or Full Cloud • Training, Dev & Test, HA Production, Disaster Recovery
  8. 8. Case Study #3: Lamborghini - Dynamic Web Applications Reduced infrastructure costs by 50% Reduced time to market to near Zero
  9. 9. Mechanical Turk is a marketplace to access a workforce of over 500K Workers in 190 countries. 02Flexible Workforce
  10. 10. Crowdsourcing is this decade’s cloud computing. Wired Magazine Crowdsourcing.org 2011 study of crowdsourcing by vertical
  11. 11. Automotive use cases on AWS Mechanical Turk Market Research • Data collection • Survey • Web research • Sentiment analysis • Data training & labeling • User studies • List assembly Data Cleansing • Verification • Deduping • Categorization • Merging • Moderation • Normalization Document Processing • Structured, semi, unstructured • Transcription & extraction • Validation/ verification • Data entry • OCR text correction Automotive parts supplier • Data enrichment and normalization of product ASINs • Leveraged Mechanical Turk’s scalable Workforce to scale in-line with weekly/monthly workloads One of world's largest automotive manufacturers • Collects training data for machine learning algorithms. • Used Mechanical Turk to recruit Workers in order to categorize data. • Adding Mechanical Turk to the R&D toolkit for unstructured data and text analytics, sentiment analysis, and data mining. Leading foreign automotive manufacturer • Survey, market research and data collection • Using Mechanical Turk to construct qualified panels of Workers, collected market feedback to better guide product development in both design and marketing Example applications
  12. 12. Crowdsourcing Quality Cost Speed Scalability Service Provider Outsourcing Quality Cost Speed Scalability Insourcing Quality Cost Speed Scalability Greatest Savings You You You API
  13. 13. Marketplace Technology Partners Consulting Partners
  14. 14. Amazon S3 Amazon Mechanical Turk Requester client server (1 Application Master, 14 Application instances) Mobile Client Mobile Client MySQL DB Instance MySQL DB Instance Amazon Mechanical Turk server (1 Application Master, 8 Application Instances) RabbitMQ WorkersAssignments Human Intelligence Tasks (HIT) Requester   
  15. 15. SharepointCCSMTurkWorkersS3 Initial Qualification Crowdsourcing Quality Control Workflow Quality Control Process
  16. 16. AWS…and why it’s the Solution of Choice. 03AWS Overview
  17. 17. 2. Pace of Innovation New Service Announcements & Updates 20122011201020092008 2013 24 48 61 82 159 280 3. Global Infrastructure 10 Regions 25 Availability Zones 51 Edge Locations “AWS is the overwhelming market share leader, with more than five times the compute capacity in use than the aggregate total of the other fourteen providers.” 4. Capacity Increased agility has become the #1 reason businesses choose the AWS cloud… 1. Workload Support AWS Global Infrastructure Application Services Networking Deployment & Administration DatabaseStorageCompute
  18. 18. Lower Costs with AWS Up-Front and Increase Savings as Your Usage Grows Source: IDC Whitepaper, sponsored by Amazon, “The Business Value of Amazon Web Services Accelerates Over Time.” July 2012 1 “Average of 400 servers replaced per customer” Replace up-front capital expense with low variable cost 2 38 Price Reductions Economies of scale allow us to continually lower costs 3 Pricing model choice to support variable & stable workloads 4 Save more money as you grow bigger On-demand Reserved Spot Tiered Pricing Volume Discounts Custom Pricing
  19. 19. Enterprises Can’t Afford to be Slow Add New Dev Environment Add New Prod Environment Add New Environment in Japan Add 1,000 Servers Remove 1,000 Servers Deploy 1 PB Data Warehouse Shut down 1 PB Data Warehouse AWS: Infrastructure in Minutes Old World: Infrastructure in Weeks Everything changes with this kind of agility
  20. 20. A culture of Innovation: Experiment Often & Fail without Risk On-Premises Experiment Infrequently Failure is expensive Less Innovation Experiment Often Fail quickly at a low cost More Innovation $ Millions Nearly $0
  21. 21. Many Enterprises Worry That These are the Only Two Choices Build a “Private” Cloud Rip everything out and move to AWS #1 #2
  22. 22. The Good News is that Cloud isn’t an ‘All or Nothing’ Choice Corporate Data Centers On-Premises Resources Cloud Resources Integration
  23. 23. Active Directory Network Configuration Encryption Backup Appliances Your On-Premises Apps Corporate Data Centers Users & Access Rules (IAM) Your Private Network (VPC) Encryption (S3, RDS, HSM) Backups (Storage Gateway) Your Cloud Apps AWS Direct Connect Integrating AWS with your existing On-Premises Infrastructure
  24. 24. Tools to help customers manage resources across environments Single Pane of Glass Management Tool Partners
  25. 25. Engage with us if… 1. You’re processing human-intensive workloads that can be micro-tasked… 2. You’re depending on internal FTE’s and/or outsource/offshore vendors… 3. Your workloads are on/off, fast growth, predictable/variable peaks, backlog… 4. You’re considering outsourcing part or all of your workloads requiring human touch (i.e. judgment)…
  • BradBass

    May. 30, 2016
  • bonniejames3192

    Jun. 11, 2015
  • lanciori

    Jul. 28, 2014

AWS and Mechanical Turk for the automotive industry. Contains AWS automotive case studies, AWS overview, Mechanical Turk use case and application examples in automotive industry, Mechanical Turk background.

Views

Total views

1,243

On Slideshare

0

From embeds

0

Number of embeds

17

Actions

Downloads

0

Shares

0

Comments

0

Likes

3

×