Amazon Transcribe Medical – Real-Time Automatic Speech Recognition for Healthcare Customers

In 2017, we launched Amazon Transcribe, an automatic speech recognition service that makes it easy for developers to add speech-to-text capability to their applications: today, we’re extremely happy to extend it to medical speech with Amazon Transcribe Medical. When I was a child, my parents – both medical doctors – often spent evenings recording letters and exam Read more about Amazon Transcribe Medical – Real-Time Automatic Speech Recognition for Healthcare Customers[…]

Automate OS Image Build Pipelines with EC2 Image Builder

Earlier in my career, I can recall being assigned the task of creating and maintaining operating system (OS) images for use by my development team. This was a time-consuming process, sometimes error-prone, needing me to manually re-create and re-snapshot images frequently. As I’m sure you can imagine, it also involved a significant amount of manual Read more about Automate OS Image Build Pipelines with EC2 Image Builder[…]

DevOps World | Jenkins World San Francisco in Living Colors

DevOps World | Jenkins World San Francisco was August 12 – 15, 2019. The event was delivered in vivid colors starting with flowing banners hung from street lamp posts to the big screens in breakout rooms, to the expo hall. The energy and enthusiasm in the Moscone convention center made the colors even more vibrant, Read more about DevOps World | Jenkins World San Francisco in Living Colors[…]

Google Summer of Code Mentor and Org Admin Perspective

I was fortunate enough to participate in the Google Summer of Code 2019 as a mentor and org admin. This was great and I wanted to share in hopes of encouraging more people to join. You can learn more about the Google Summer of Code here: https://jenkins.io/projects/gsoc/ Community Bonding The first phase of the project Read more about Google Summer of Code Mentor and Org Admin Perspective[…]

Learn about AWS Services & Solutions – October AWS Online Tech Talks

Learn about AWS Services & Solutions – October AWS Online Tech Talks Join us this October to learn about AWS services and solutions. The AWS Online Tech Talks are live, online presentations that cover a broad range of topics at varying technical levels. These tech talks, led by AWS solutions architects and engineers, feature technical Read more about Learn about AWS Services & Solutions – October AWS Online Tech Talks[…]

My DevOps World – Jenkins World 2019 Experience

Last week I had the privilege of attending DevOps World – Jenkins World in San Francisco to present my Google Summer of Code project for plugin management. It was an amazing experience getting to meet people from all over world who are trying to make the development and release process easier and more efficient. I Read more about My DevOps World – Jenkins World 2019 Experience[…]

Jenkins is accepted to Google Summer Of Code 2019!

On behalf of the Jenkins GSoC org team, I am happy to announce that the Jenkins project has been accepted to Google Summer of Code 2019. This year we invite students and mentors to join the Jenkins community and work together on enhancing the Jenkins ecosystem. Just to provide some numbers, this is the biggest Read more about Jenkins is accepted to Google Summer Of Code 2019![…]

Google Summer of Code 2019. Call for Project ideas and Mentors

Google Summer of Code is as program where students are paid a stipend by Google to work on a free open source project like Jenkins, at full-time for four months (May to August). Mentors get actively involved with students starting at the end of February when students start to apply (see the timeline). We are Read more about Google Summer of Code 2019. Call for Project ideas and Mentors[…]

Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere

Machine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the cloud a natural place to train ML jobs with services such Read more about Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere[…]