The Modern Tech Stack: Machine Learning for Builders: Tools, Trends, and Truths
- 1. Machine Learning for Builders: Tools, Trends, and Truths Rob De Feo Shelley Trout With: Moderated by: TO USE YOUR COMPUTER'S AUDIO: When the webinar begins, you will be connected to audio using your computer's microphone and speakers (VoIP). A headset is recommended. Webinar will begin: 9:30 am, PDT TO USE YOUR TELEPHONE: If you prefer to use your phone, you must select "Use Telephone" after joining the webinar and call in using the numbers below. United States: +1 (415) 655-0052 Access Code: 911-607-981 Audio PIN: Shown after joining the webinar --OR-- The Modern Tech Stack Webinar Series
- 2. Amazon Web Services offers a broad set of global cloud-based products to equip technology leaders to build better and more powerful solutions. Partnering with CTO Universe, AWS is now offering an exclusive program to our members and audience. The program includes up to $100,000 USD of value AWS credits, free consulting sessions with AWS Solutions Architect to review your environment, strategies and optimize your cost, and other resources to help you get started on migrating to AWS. If you are interested in learning more, please reach out to aws-cto-program@amazon.com.
- 3. The Modern Tech Stack Webinar Series Click on the Questions panel to interact with the presenters https://www.ctouniverse.com/webinar-series/10744/the-modern-tech-stack
- 4. About Rob De Feo Rob De Feo is startup advocate at Amazon Web Services and host of Startup Engineering Podcast spending his time helping startups in Europe any beyond. He mentors startups CTO’s and founders as they begin their journey, to helping large scale startup leverage technology as they build and scale their businesses. He has helped many of Europe’s largest startups and startup institutions, including Techstars, Deliveroo, Monzo, Skyscanner, and Starling Bank to scale their platforms and meet global demand. Rob is now focused on working with the stage startup communities across Europe. Prior to Amazon, Rob was the founder of AI startup Jemboo, and was technical lead of Expedia’s Innovation division, building one of the earliest industry chatbots. About Shelley Trout Shelley leads webinar production at Aggregage, the publisher of more than 40 B2B publications. She has successfully produced hundreds of webinars featuring thought leaders, across a range of industries, and delivering diverse and rich content and tens of thousands of targeted leads to webinar sponsors. Shelley is a published author and writer, who previously worked as a director and producer on the West End while studying Theater in London. After moving to the U.S., she majored in Anthropology & Archaeology at UC Berkeley, worked at the Center of Digital Archaeology, and wrote her thesis on digital representations of people and their stories. The Modern Tech Stack Webinar Series
- 5. Rob De Feo Startup Advocate @robdefeo StartupEngineering.co Machine Learning for Builders: Tools, Trends, and Truths
- 6. Character Mode GUI Web Mobile 1970s 1980s 1990s 2000s
- 7. The reach of ML is growing
- 8. AmazonGo PrimeAir AWS AI
- 9. Customer Running ML on AWS Today
- 10. Our mission at AWS Put machine learning in the hands of every developer
- 11. What is it? Artificial intelligence Subset of AI that uses machines to search for patterns in data to build logic models automatically Subset of ML composed of deeply multi-layered neural networks that perform tasks like speech and image recognition
- 12. Data matters at any scale Embrace ML of every size and shape Developers love speed T h r e e t r e n d s w e ’ r e s e e i n g a s c u s t o m e r s a d o p t M L
- 13. T h r e e t r e n d s w e ’ r e s e e i n g a s c u s t o m e r s a d o p t M L Data matters at any scale Embrace ML of every size and shape Developers love speed
- 14. New data is created in the cloud Existing data migrating as quickly as possible Encryption, auditing & compliance Analysis through a data lake Human annotation through the crowd I t ’ s n e v e r b e e n e a s i e r o r c h e a p e r t o c o l l e c t d a t a a t a n y s c a l e
- 15. T h r e e t r e n d s w e ’ r e s e e i n g a s c u s t o m e r s a d o p t M L Data matters at any scale Embrace ML of every size and shape Developers love speed
- 16. Frameworks Interfaces Infrastructure A m a z o n E C 2 P 3 & P 3 D N A m a z o n E C 2 C 5 F P G A s A W S G r e e n g r a s s A m a z o n E l a s t i c I n f e r e n c e A m a z o n I n f e r e n t i a M L F r a m e w o r k s & I n f r a s t r u c t u r e
- 17. Gro und Truth Algo rithms No tebo o ks Ma rketpla ce Mo del tra ining & tuning Priva te link Auto - sca ling M L S e r v i c e s HPO Optimiza tion (Neo ) Reinfo rcement lea rning Build Train Deploy Deplo yment & ho sting Virtua l Priva te C lo ud E la stic Inference Amazon SageMaker
- 18. A m a z o n R e k o g n i t i o n I m a g e A m a z o n P o l l y A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n L e x A m a z o n R e k o g n i t i o n V i d e o Vision Speech Language Chatbots A m a z o n F o r e c a s t Forecasting A m a z o n T e x t r a c t A m a z o n P e r s o n a l i z e Recommendations A P I S e r v i c e s
- 19. T h r e e t r e n d s w e ’ r e s e e i n g a s c u s t o m e r s a d o p t M L Data matters at any scale Embrace ML of every size and shape Developers love speed
- 20. Remove undifferentiated heavy lifting of ML Iterate, iterate, iterate! Training speed Inference speed D e v e l o p e r s l o v e s p e e d i n A I e x p e r i m e n t a t i o n
- 21. Our Promise To Customers: Smarter Alexa NaturalSelf-learningCompetency Context-aware
- 24. Context-aware
- 25. “What should I make for dinner?” “What is the weather like in Tahoe this weekend? “Suggest a spring vacation destination.”
- 27. Self-learning
- 28. Domain X Domain Y Transfer Learning
- 29. Reinforcement Learning Model Reward function RL Environment Training Data
- 30. Natural
- 31. WEATHER REPORTS TRAFFIC 9AM MUSIC LUNCH DELIVERY 12PM HOMEWORK HELP RECIPE RESEARCH 3PM COOKING TIMERS MUSIC 6PM
- 32. Ambient Computing Powered By AI
- 33. THE GOOD WE CAN DO WITH AI
- 35. 75 BILLION connected devices BY 2025…
- 36. “Where next?”
- 37. Find out more Rob De Feo - @robdefeo StartupEngineering.co ml.aws
- 38. The Modern Tech Stack Webinar Series Q&A Shelley Trout With: Moderated by: Startup Advocate, Amazon Web Services Linkedin page: /in/robdefeo/ Twitter ID: @robdefeo Podcast: startupengineering.co/ Rob De Feo Managing Editor, Aggregage Linkedin page: /in/shelleytrout/ Twitter ID: @ctouniverse Email: shelley@aggregage.com Website: ctouniverse.com https://www.ctouniverse.com/webinar-series/10744/the-modern-tech-stack