Nearly everywhere you look in today’s global marketplace, you’ll spot an ever-increasing use of artificial intelligence (AI) solutions combined with cloud computing technologies. You might even personally use AI in cloud solutions in the form of digital assistants, such as Apple’s Siri, Amazon’s Alexa, and Google Home. But how far down the AI solutions rabbit […]Continue reading..Why Are Cloud-First AI Solutions Important?
The Current Digital Automation Climate Digital disruption in the form of automation has caused a massive change across the globe that has affected all industries in various ways. AI-powered automation solutions reduce the time spent on repetitive tasks and offer massive benefits to stakeholders. Currently, the manual extraction of data from hundreds of documents, creation […]Continue reading..Business Impacts of Data Extraction Solutions
Major Service Announcements: NEW: AWS CloudShell is a browser-based, pre-authenticated shell that can be launched directly from the AWS Management Console to run AWS CLI commands against AWS services using a preferred shell of Bash, PowerShell, or Z shell. This can all be completed without downloading or installing command line tools. AWS CloudShell is generally available in […]Continue reading..AWS re:Invent Recap: Werner Vogels Keynote
Here are the key discussion topics from the AWS re:Invent 2020 Infrastructure Keynote from Peter DeSantis – Senior VP of Global Infrastructure and Customer Support, with a focus on efforts to improve resiliency, availability, and sustainability for its customers: AWS Nitro System: Enables faster innovation and enhanced security. Nitro version hypervisor chips is the most […]Continue reading..AWS re:Invent Recap: Infrastructure Keynote
What happened? Amazon SageMaker Edge Manager was announced during the re:Invent Machine Learning Keynote. This new feature gives developers model management tools for to optimize, secure, monitor, and maintain machine learning models on fleets of edge devices such as smart cameras, robots, personal computers, and mobile devices. Why is it important? Device Compatibility: It enables […]Continue reading..AWS re:Invent Recap: Amazon SageMaker Edge Manager
What happened? Amazon SageMaker Debugger, a tool that monitors machine learning training performance to help developers train models faster, was announced during the re:Invent 2020 Machine Learning keynote. This tracks the system resource utilization and creates alerts for problems during training. With these new capabilities, automatic recommendations for resource allocation for training jobs, resulting in […]Continue reading..AWS re:Invent Recap: Amazon SageMaker Debugger
What happened? AWS released Amazon SageMaker Clarify, a new tool for mitigating bias in machine learning model that helps customers more accurately and rapidly detect bias to build better solutions. This provides critical data and insights that increase transparency to help support analysis and explanation of model behavior to stakeholders and customers. Why is it […]Continue reading..AWS re:Invent Recap: Amazon SageMaker Clarify
Here are the key announcements from the re:Invent 2020 Machine Learning Keynote: Faster Distributed Training on Amazon SageMaker is the quickest and most efficient approach for training large deep learning models and datasets. Through model parallelism and data parallelism, SageMaker distributed training automatically splits deep learning models and datasets for training in significantly less time […]Continue reading..AWS re:Invent Recap: Machine Learning Keynote