TECHTalks - Pittsburgh & Philadelphia PA - Scott Weber
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Artificial Intelligence & Machine Learning: The Art of the Possible. Pittsburgh PA, May 14th, 2019 & Philadelphia PA, October 2nd, 2019.
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TECHTalks - Pittsburgh & Philadelphia PA - Scott Weber
- 1. ARTIFICIAL INTELLIGENCE & MACHINE LEARNING: THE ART OF THE POSSIBLE SCOTT WEBER | Vice President, Cloud Solutions BRIANNA BUTTACCIO | Cloud Engineer Pittsburgh, PA May 14, 2019
- 2. We are a technology company focused on digital transformation & innovation. Confidential | eagledream.com WHO IS EAGLEDREAM TECHNOLOGIES? 2 DREAM | BUILD | SOAR
- 3. Confidential | eagledream.com WHO IS EAGLEDREAM TECHNOLOGIES? 3
- 4. Confidential | eagledream.com WHO IS EAGLEDREAM TECHNOLOGIES? 4 The region’s largest and fastest growing AWS Advanced Consulting Partner
- 5. AMAZON SUITE OF AI/ML SERVICES Confidential | eagledream.com 5 • Amazon Comprehend • Amazon DeepLens • Amazon DeepRacer • Amazon Lex • Amazon Polly • Amazon Rekognition • Alexa for Business • Amazon Transcribe • Amazon Translate • Amazon Personalize • Amazon Forecast • Amazon Textract • Amazon SageMaker Amazon has an extensive list of AI/ML services. The most important aspect of these services is that deep expertise is not needed.
- 6. LET’S EXPLORE HOW SOME OF THESE SERVICES ARE BEING USED BY CUSTOMERS
- 7. BUILDING A SHIPPING MANIFEST VIA VIDEO Confidential | eagledream.com 7 Moving company application for building an inventory, shipping list, and weight estimate. AWS Cloud Mobile client Amazon RekognitionAmazon Simple Storage Service (S3) Couch + table + chair + ottoman + plant + 3 pictures + area rug = 500 lbs
- 8. AUTOMATED IMAGE FILTERING AND IDENTIFICATION Confidential | eagledream.com 8 Inspection of Cell Towers is very time consuming and dangerous for the person doing the work Use Drones to capture 2D images Convert to 3D model at engineering accurate dimensions LOTS OF DATA GIGAPIXEL IMAGES
- 9. AUTOMATED IMAGE FILTERING AND IDENTIFICATION Confidential | eagledream.com 9 The drone can accidentally take pictures of things that aren’t part of the tower No Tower Tower
- 10. HOW FAR CAN WE PUSH THE ML MODELS Confidential | eagledream.com 10 Use ML in the processing pipeline to remove manual intervention DETECT RUST | CRACKS | CRACK GROWTH
- 11. SENTIMENT ANALYSIS Confidential | eagledream.com 11
- 12. Real-time emotion detection SENTIMENT ANALYSIS Confidential | eagledream.com 12
- 13. ARCHITECTURE WHAT IS BEHIND THE SCENES? Confidential | eagledream.com 14
- 14. RESULTS Confidential | eagledream.com 15 BUFFALO TECHTALKS EMOTIONS OVER TIME
- 15. AI/ML IN THE OFFICE – A DEMONSTRATION Confidential | eagledream.com 17 DeepLens Recognize a member of the company and remind them about upcoming meetings Alexa for Business • Alexa start the meeting • Alexa is this room free? • Alexa schedule this room • Alexa when is this room available?
- 16. WRAPPING UP Confidential | eagledream.com 18 ESTABLISH Start now! You don’t have to be an expert Get the best breed of services for you Extremely cost effective EXPERIMENT Leverage your data Measure the sentiment of your customers Discover what trends are locked up in your data lake COLLABORATE Challenge your team Purchase a few DeepRacers and DeepLens cameras Organize a hackathon - see what your team can develop
- 17. WANT TO KNOW US MORE? Contact Us 1.888.4EAGLEDREAM info@eagledream.com Headquarters | Rochester, NY 300 Willowbrook Office Park Fairport, NY 14564 New England | Boston, MA 300 Baker Avenue, Suite 300 Concord, MA 01742 Primary Contact(s): Bob Moore CEO Email: Bob.Moore@eagledream.com
- 18. THANK YOU!
Editor's Notes
- Thank you all! Thank you Marcus MIT story
- The region’s largest and fastest growing AWS Advanced Consulting Partner. Advanced Tier - DevOps - Well-Architected Strategic Cloud Transformations Cloud Native AI/ML and Data lakes Cloud Transformations: Strategic transformation consulting from Fortune 500s to small and medium businesses Cloud Native Application Architectures: DevOps, Serverless, Containers and Platform services. Microsoft and Linux experts UI/UX and Application Development: UI/UX design that enables leading edge application development in the Cloud Data Lakes and AI/ML: Data Lake architectures to enable AI/ML. Custom ML models
- Cloud Transformations: Strategic transformation consulting from Fortune 500s to small and medium businesses Cloud Native Application Architectures: DevOps, Serverless, Containers and Platform services. Microsoft and Linux experts UI/UX and Application Development: UI/UX design that enables leading edge application development in the Cloud Data Lakes and AI/ML: Data Lake architectures to enable AI/ML. Custom ML models
- The region’s largest and fastest growing AWS Advanced Consulting Partner. Advanced Tier - DevOps - Well-Architected Strategic Cloud Transformations Cloud Native AI/ML and Data lakes
- Who thinks AI is hard? Who thinks AI is expensive? Who thinks deep domain expertise is needed? Deep Expertise is not needed Has become more a matter of software development Groups of services: - Voice/text - Projections – Forecast – Paychex - DeepLens and DeepRacer, learning tools - Sagemaker
- Moving company that is changing the game on estimating work The client does the walk around of the house Takes minutes versus hour+ and no one has to come on site
- LOTS of data!!! Gigapixel images 10 – 50 GBs uploaded -> converts to 20 – 150 GPixel models Engineering accurate to 1/32 of an inch Typically takes 7 trips of a person
- Sometimes pictures get taken that confuse the modeling software We only want pictures of the tower, helps to control cost Provided 1,000 images of a tower and 1,000 images of no tower, and created model. NO DATA SCIENTISTS INVOVLED!
- Still areas to innovate! Rust and cracks are a big deal Can AI work with the AT
- Sentiment analysis of text is neat, but what about reading people? Lots of use cases for video/photo processing. Sports teams, speakers, etc
- Sentiment analysis of text is neat, but what about reading people? Lots of use cases for video/photo processing. Sports teams, speakers, etc
- Typical Web application in a data center – monolithic application Where is the Business Logic in this architecture? How much stuff do we need to setup to support that logic layer? What is the cost for all of this? - Security - heating/cooling /electrical - DR and backup - Networking equipment - Proprietary DBs - Proprietary Hardware How long to build all of this stuff? 3 – 6 months Oh, and we need 3 total environments of this Lots of heavy lifting!!
- Simple architecture! Costs pennies per hour to run Took about 4 hrs to implement
- Results from our last tech talk Note the rise and dips from different videos Other presenters started to worry about results, made them more conscious of their presentation
- Typical Web application in a data center – monolithic application Where is the Business Logic in this architecture? How much stuff do we need to setup to support that logic layer? What is the cost for all of this? - Security - heating/cooling /electrical - DR and backup - Networking equipment - Proprietary DBs - Proprietary Hardware How long to build all of this stuff? 3 – 6 months Oh, and we need 3 total environments of this Lots of heavy lifting!!
- Lets take a look at a few simple demos Alexa for business: Conference rooms are enabled. Call into meeting Deep Lens: Conceirge for the office, who is the person and where is the meeting?
- saAWS is the leading platform for this work. EagleDream can help Leverage the Platform: Use the AWS services, you don’t have to be an expert in AI/ML. The platform is providing best of breed services for you. The services are extremely cost effective to us Experiment: Try something with your data. Measure the sentiment of your customers. What trends are locked up in your data lake? Challenge your team: Purchase a few DeepLens cameras and a few DeepRacers, setup an afternoon hackathon and see what your team can develop Its more of a software development problem now, API driven Thank you!
- Next Slide: Thank You!