This document summarizes an AWS startup event. It provides details on speakers and topics covered. Mackenzie Kosut, a global startup evangelist at AWS, discusses how startups have scaled infrastructure and evolved over time. The event focuses on providing startups guidance on topics like fundraising, operations, artificial intelligence, and building applications using AWS services. Several startup founders and investors share their experiences starting companies. The goal is to help startups launch and grow successfully using AWS's cloud infrastructure and services.

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Startup Day

2. Mackenzie Kosut
Global Startup Evangelist
@mkosut

3. Scaled the site to 20B+ page
views a month
Largest independent robo-advisor in
the world. Over $8B in managed
assets.
Founding engineer, helped build entire
insurance company on AWS in 3
months.

4. Largest Number of Startups

5. Cloudfront Lambda ECS Poly,
Rekognition,
Lex
RDS Route53 Elastic
Beanstalk
AWS Data
Pipeline
Kinesis
Startups Have Evolved

6. “The reality, of course, today
is that if you come up with a
great idea you don't get to go
quickly to a successful
product. There's a lot of
undifferentiated heavy lifting
that stands between your idea
and that success."
-Jeff Bezos

8. 2005
$5,000,000
Team of Engineers
Months of development
2017
$5,000
An Engineer
Weeks of development
Launching an Idea

11. Launching a successful startup takes
more than just technology.

13. Charles Hudson
Managing Partner and Founder
Precursor Ventures
Stephanie Palmeri
Partner
SoftTech VC
Ilya Kirnos
CTO
SignalFire
Andrea Zurek
Founding Partner
XG Ventures
Calvin French-Owen
CTO and co-founder, Segment
Jesse Rosenzweig
CTO, Elemental

14. As Founders
Started or been early at 80 companies
17 CEOs or Co-Founders
Raised more than $3.69B
32 exits
5 companies went public
As Investors
17 have been VCs or corp dev
Invested more than $1.3B in 403 companies
65 exits of more than $4.9B with 6 IPOs

15. Amazon: More Than Infrastructure

16. Fundraising 101
Managing hiring changes from early stage to hyper growth and beyond
Create your Go-To-Market Strategy with Amazon
Partnerships and Business Development to grow your startup
Is it possible to run a 100% remote team?
When and how to Adopt micro services
Manual vs Automation: When to start automating your processes
Security Crash Course & Best practices
Production Readiness Review: How to stop bad things from happening
Don’t Overspend! Cost optimization best practices to reduce your burn
BUSINESS
OPERATIONS

17. Artificial Intelligence

23. Amazon AI

26. Speech Recognition & Natural
Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast

27. Speech Recognition & Natural
Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
“It will be sunny
and 25°C”
Weather
Forecast

28. “With Amazon Polly our users benefit from
the most lifelike Text-to-Speech voices
available on the market.”
Severin Hacker
CTO, Duolingo

30. Amazon
Machine Learning
Predictive Analytics

31. Binary classification
(Logistic regression)
Multi-category classification
(Multinomial logistic regression)
Regression
(Linear regression)
Amazon ML Supervised Learning Algorithms

34. One-Click
Deep Learning
AWS Deep Learning AMIs
Amazon Linux & Ubuntu
Up to~40k CUDA cores
Apache MXNet
TensorFlow
Theano
Keras
Caffe
CNTK
Torch
Pre-configured CUDA drivers
Anaconda, Python3
Out-of-the-box Tutorials
Available in the AWS Marketplace

41. Natural language
understanding
Automatic
speech recognition
Amazon
Lex
Amazon
Lex
Amazon
Polly
Speak
Amazon
Rekognition
See
Amazon ML
Deep
learning AMI
Predict
Building Smarter Applications

43. AWS Hot Startups

44. AWS San Francisco Summit 2017

45. @AWSstartups

46. AWS
StartupsOnAir