Best of re:Invent for Startups 2020
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56:48
The Full Machine Learning re:Invent Release Guide for Startups
Your dev team is working on Saturdays, your next fundraising round is on the horizon, your Machine Learning Engineers are still labeling data, your GPU is heating up under your desk, and your mind is
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28:57
What HackerOne has learned from years of AWS bug bounties
In this session, HackerOne cofounder and security expert Jobert Abma reviews high-severity bugs that surfaced in bug bounty programs over the years for AWS applications. These are bugs that may be rew
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20:32
Role models: How AI is improving diversity in fashion
What’s the key to the future of diversity and inclusion in the fashion industry? According to Lalaland cofounder and CTO Ugnius Rimsa, it’s AI. Learn how Lalaland uses Amazon services like Amazon Cogn
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35:12
Elevating Customer Experience with Decibel
How do the world’s largest brands, like Lego, British Airways, and Allstate Insurance, find ways to continually improve their customer experiences? They use Decibel, an award-winning, machine learning
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35:02
Kurly transforms with AWS to adapt and grow
Kurly CEO and founder Sophie Kim shares her insight on transforming her next-day grocery delivery service Market Kurly with AWS. Learn how Kurly utilizes services from Amazon EC2 to Amazon Personalize
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35:05
A bigger plate: Swiggy’s growth on AWS
Over the last five years, Swiggy went through a hypergrowth phase on AWS. This talk describes three major technical challenges that Swiggy faced while delivering a “convenience as a service" platform.
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34:59
How SkyAlert prepares for disaster prevention using AWS
Efficiency is absolutely key for SkyAlert, a startup that provides technological solutions to disaster prevention. Join Francisco Catalá, SkyAlert CTO, as he discusses upholding safety standards and h
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21:59
How big data helps Konfío approve loans for Mexican SMBs
With a digital-first mindset combined with machine learning tools, Konfío leverages big data, AWS Lambda, and more to provide instant loans to small and midsize businesses (SMBs) and boost small and m
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35:02
On the money: How Paystack champions African businesses
Ezra Olubi, cofounder and CTO of Paystack, discusses how picking the right tools with AWS allowed the company to scale up from processing $2,500 in online payments to processing over $150 million for
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35:02
The Business Case for Serverless with Stedi
What if you could build systems that self-improve over time? Zack Kanter, CEO and founder of Stedi, the structured messaging platform for B2B trade, believes that a serverless-first architecture on AW
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18:55
How Airtable safely runs custom user scripts
Learn how Airtable’s scripting environment works, how Airtable uses AWS Lambda and V8 Isolates to provide defense in depth and safely run untrusted code authored by users.
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26:13
Gro Intelligence on creating trust in the market
We know that the world’s biggest problems, like world hunger and climate change, aren’t solved by individual action. They’re solved by companies and governments acting at scale and, ideally, in unison
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19:26
Skydio: Scaling autonomous flight for enterprise with AWS
Learn how Skydio is using AWS to enable rapid development of disconnected intelligent systems. AWS services like Amazon Kinesis and Amazon S3 enable Skydio’s high-throughput data ingestion.
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14:15
On-demand testing environments that engineers will love
Join Kelsey Steinbeck, director of DevOps at Indigo, to learn how Indigo approached the challenge of streamlined feature testing in a tightly integrated environment.
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19:27
How Dream11 created India’s biggest fantasy sports platform with AWS
Learn from CIO Abhishek Ravi about Dream11’s journey with AWS, its scalable initiatives on AWS analytics, and how it’s operating at scale.
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16:21
How cloud robotics can protect employees and customers
Cloud robotics seems to be the new buzzword in the area of automation, but what does it really mean and how can it benefit your organization?
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14:40
Operational BI: Executing ML models at speed and scale
Engineering Manager Carl Sverre discusses how SingleStore leverages AWS services in the ML workflow to compile and run Amazon SageMaker models as database functions against real-time data.
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