Building AI-powered forecasting automation with Amazon Forecast by applying MLOps

By Dustin Ward

Amazon Web Services FeedBuilding AI-powered forecasting automation with Amazon Forecast by applying MLOps This post demonstrates how to create a serverless Machine Learning Operations (MLOps) pipeline to develop and visualize a forecasting model built with Amazon Forecast. Because Machine Learning (ML) workloads need to scale, it’s important to break down the silos among different stakeholders…

Extend Data Management to the Edge with AWS IoT Core Edge Software Qualification

By Dustin Ward

Amazon Web Services FeedExtend Data Management to the Edge with AWS IoT Core Edge Software Qualification By David Walters, IoT Specialist Partner Solutions Architect at AWSBy Thomas Cummins, IoT Specialist Partner Solutions Architect at AWSBy Brintha Koether, Segment Lead, IoT Hardware at AWS Gartner forecasts the number of connected devices will reach 25 billion by…

Scheduling Jupyter notebooks on SageMaker ephemeral instances

By Dustin Ward

Amazon Web Services FeedScheduling Jupyter notebooks on SageMaker ephemeral instances It’s 5 PM on a Friday. You’ve spent all afternoon coding out a complex, sophisticated feature engineering strategy. It just started working on your Amazon SageMaker Studio t3.medium notebook, and all you want to do is plug this onto a massive instance, scale it out…

The Fear of Vendor Lock-in Leads to Cloud Failures

By Dustin Ward

Amazon Web Services FeedThe Fear of Vendor Lock-in Leads to Cloud Failures   Vendor lock-in has been an often-quoted risk since the mid-1990’s. Fear that by investing too much with one vendor, an organization reduces their options in the future. Was this a valid concern? Is it still today?   The Risk Organizations walk a…

New – Streamline media analysis tasks with Amazon Rekognition Video

By Dustin Ward

Amazon Web Services FeedNew – Streamline media analysis tasks with Amazon Rekognition Video Amazon Rekognition Video is a machine learning (ML) based service that can analyze videos to identify objects, people, faces, text, scenes, and activities, as well as detect any inappropriate content. Starting today, you can streamline media analysis tasks by automating the detection…

Implementing geohashing at scale in serverless web applications

By Dustin Ward

Amazon Web Services FeedImplementing geohashing at scale in serverless web applications Many web and mobile applications use geospatial data, often used with map overlays. This results in dataset queries based upon proximity, for questions such as “How far is the nearest business?” or “How many users are nearby?” Applications with significant traffic need an efficient…