AWS Startups Blog
How Innovaccer is Helping Healthcare Organizations Activate Their Healthcare Data
Innovaccer leveraged EC2 servers for hosting its web applications and databases given the Big Data-based primary operations. The movement to AWS was seamless as we deployed it for the first time in our organization, giving our developers greater control, more reliability, better availability, and enhanced performance.
How Renovo Uses Amazon OpenSearch to Manage Logs
AWS has enabled auto tech startup Renovo to keep up with logs generated by vehicles and support systems in a manner that does not require it to over-provision processing and focus on the problem space: operating a vehicle or fleet of vehicles. Director of Data Services Khalid Azam explains how.
Castbox CEO on the AI-driven Future of Podcasts
China and US-based startup Castbox, unofficially known as the Netflix of podcasts, allows users to stream live podcasts, engage with speakers, and upload their own premium content. Founder and CEO Renee Wang explains how the app works, who its main users are, and where she sees the podcast industry heading in the future.
How ALICE uses AWS Glue to Solve Complex Data Migration Challenges
ALICE, a platform for hotel staff to deliver exceptional hospitality to their guests, acquired a large competitor, GoConcierge with a global customer base of over 1k hotels. ALICE needed to migrate GoConcierge’s customers so they could benefit from the new platform. Here’s how they used AWS Glue to do it.
The Untapped Potential of Cloud Computing for Healthcare and Life Science Startups in Germany
The amount of healthcare data globally is increasing at a rapid scale. Germany has missed much of this revolution and lags behind other countries with regard to electronic health records and e-prescriptions, but it’s starting to open up. To ensure the country is not further hampered by a lack of digitization experience, providers, payers, patients, pharma companies and startups should look to cloud computing technology to help bridge the gap.
FST Network Provides Blockchain-based Security to Customer Data
Jack Chu, CEO of data management startup FST Network, explains how the company utilizes blockchain technology to provide de-identified customer relationship management tools. Chu also chats about why this technology is valuable to monolithic enterprise customers, what inspired him to build it, and how it works.
ChatCampaign Moves Loyalty Programs to Messaging Apps
Claudia Sin, Founder, CEO, and CTO of ChatCampaign, shares how by moving loyalty program messaging from email to applications like What’sApp and Facebook Messenger, the Hong Kong-based startup helps programs provide a more engaging, authentic experience. She also shares why this technology is necessary, what she’s learned as a founder of multiple startups, and what’s next for ChatCampaign.
Curing Heartbreak with Hong Kong-based Startup Breakup Tours
For Stephen Chung, Co-founder and CEO of Breakup Tours, travel is the best medicine for heartbreak. The Hong Kong-based travel activity app recommends travel itineraries for customers based on the emotions they experience after a breakup, whether it’s anger, sadness, or something else. As the app gathers customer data, it becomes more intelligent with its recommendations. Chung shares what inspired him to found the company, why its technology is relevant, and what his vision is for its future.
Movable Ink Helps Marketers Leverage Data and Overcome Content Bottlenecks
Dee Anna McPherson, Senior Vice President of Marketing at Movable Ink, explains why Movable Ink migrated its entire production environment to AWS in 2015—a move that took advantage of multiple regions and availability zones to provide redundancy, resilience, and scalability.
How Sisense and Periscope Data Are Helping Data Builders Grow in New Directions
Answering questions with data is no longer just the responsibility of a small team of data professionals. It’s become a shared responsibility between multiple departments. As a result of the data revolution, every job has become a data job, every team a data team, and every company a data company.