Author: AWS Editorial Team

When the social media revolution began, e-commerce sites mostly catered to English speakers, which left out a huge population of would-be participants. Koo, a microblogging platform based in India, noted the lack of inclusivity and made it their mission to create an app that is accessible to the entire spectrum of languages spoken in India. Koo started with just three languages—English, Hindi, and Kannada—and expanded from there. Learn how this ambitious startup used AWS to scale and give a voice to millions of users.

Food waste is a global issue that stretches far beyond its impact on underfed populations: it’s one of the primary drivers behind the climate crisis, representing 10% of all greenhouse gas emissions. Combating food waste reduces methane emissions in particular, while also preventing the waste of the labor and resources required to make the food. But there’s room for hope, and Too Good To Go is helping make it happen with their free app dedicated to reducing food waste worldwide by connecting customers to restaurants and stores with surplus food.

When catastrophic flooding devastated Germany in July 2021, InsurTech startup claimsforce saw a 300% load increase on their systems. As a key player in the digital transformation of the European insurance industry, they serve multiple insurers and damage adjuster networks, leading to an ever-increasing amount of data stored in their application databases and sources. Learn how they leveraged a Lake House approach to efficiently perform tasks on distributed data and gain insights against a growing volume of data.

AWS is bringing the best startup content of the event (plus the party!) to the newly reopened AWS Startup Loft on San Francisco’s Market Street. From November 29 to Dec 1, the Loft will be home to livestreams of keynote speeches from AWS leaders. But this is more than just a watch party. Read on to learn everything you’ll be able to enjoy at the free San Francisco event.

As the real-world changes, machine learning models degrade in their ability to accurately represent it, resulting in model performance degradation. That’s why it’s important for data scientists and machine learning engineers to support models with tools that provide ML monitoring and observability, thereby preventing that performance degradation. In this post, we dive into the WhyLabs AI Observatory, a data and ML monitoring and observability platform, and show how it complements Amazon SageMaker.

Back in 2005, Roustem Karimov and Dave Teare were web consultants helping others build e-commerce sites when they started a side project to help keep track of all the different passwords needed for work. At the time, Roustem recalls thinking the opportunity would be a temporary diversion. But it became clear shortly after they finished building the product and put a purchase form up that Roustem and Dave wouldn’t be returning to their day jobs any time soon. Read on to learn how the choice to double down on their idea lead 1Password to a $2 billion valuation.

The biggest challenge for new startups is to get to market as quickly as possible before the money runs out — and prove that your company is set to take over the market. To accelerate time to market, you need a minimum viable product (MVP), or the smallest and quickest functional version of your idea. It’s something that can be tested quickly and easily, shipped and iterated as often as necessary, as feedback comes back. It proves not only that your new idea works, but that you have the ability to produce it, and the proof that your audience wants it. In this upcoming live webinar, learn how to successfully develop an MVP with AWS and propel your company on the path to success.

Startup management often grapple with defining and outlining an AWS Admin’s responsibilities. With these resources, founders and stakeholders can hire and develop the best, while maintaining an appropriate level of separation of duties that often plague a startup’s growth and scalability. By following the practices defined here, AWS Admins can balance performing day-to-day activities effectively, help their startups adopt good security hygiene practices often required as part of third-party assurance, and optimize infrastructure costs.

Providing innovative technology solutions for some of the world’s leading investors, security is at the heart of everything SigTech does. SigTech offers future-proof quant technologies to global investors. Cloud-hosted and Python-based, the platform integrates a next-gen backtest engine and analytics with curated datasets covering equities, rates, FX, commodities and volatility. Through the use of the deep and rich features provided by AWS services, SigTech has been able to build quant technologies that are operable by their engineering team, can be developed and iterated in an agile way, and meet the security requirements of their customers.

The United Kingdom (UK) healthcare system’s acceleration of innovation in service delivery, along with its increased adoption of digitally-enabled, secure, and compliant solutions through the Covid-19 crisis has brought about great benefit for patients. Embracing digital health innovations has enabled the NHS to deliver a world-leading vaccination programme showing their inherent talent and collaborative, patient-centric capacity to transform at pace. Now, their focus moves to tackling backlogs in elective care, continuing to implement the NHS Long Term Plan, and focusing on transformation of services to support NHS resilience. To support both high-potential healthcare startups and the UK healthcare system’s demand for these types of solutions, we are excited to announce the launch of the AWS Healthcare Accelerator programme in the UK.