Favorite Critical information can be scattered across multiple data sources in your organization, including sources such as Windows file systems stored on Amazon FSx for Windows File Server. You can now use the Amazon Kendra connector for FSx for Windows File Server to index documents (HTML, PDF, MS Word, MS
Read More
Shared by AWS Machine Learning March 16, 2022
Favorite Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge
Read More
Shared by AWS Machine Learning March 16, 2022
Favorite From predicting floods to improving waste management, organizations and researchers across Asia Pacific are using technology to respond to the impact of climate change. Supporting this important work is a priority for Google.org. At today’s Southeast Asia Development Symposium, we announced a $6 million Sustainability Seed Fund to help
Read More
Shared by Google AI Technology March 16, 2022
Favorite This is a post co-written with Bernard Paques, CTO of Storm Reply, and Karl Herkt, Senior Strategist at Dassault Systèmes 3DExcite. While computer vision can be crucial to industrial maintenance, manufacturing, logistics, and consumer applications, its adoption is limited by the manual creation of training datasets. The creation of
Read More
Shared by AWS Machine Learning March 15, 2022
Favorite This blog has already published several articles about KM success factors. Here is another slant on the topic. Communities of practice are a core component of any Knowledge Management Framework, and therefore people are very interested in why they work, and why they fail. I have already shared the
Read More
Shared by Nick Milton March 14, 2022
Favorite Data lakes have become the norm in the industry for storing critical business data. The primary rationale for a data lake is to land all types of data, from raw data to preprocessed and postprocessed data, and may include both structured and unstructured data formats. Having a centralized data
Read More
Shared by AWS Machine Learning March 11, 2022
Favorite In this post, we present a solution for digitizing transactional documents using Amazon Textract and incorporate a human review using Amazon Augmented AI (A2I). You can find the solution source at our GitHub repository. Organizations must frequently process scanned transactional documents with structured text so they can perform operations
Read More
Shared by AWS Machine Learning March 11, 2022
Favorite Amazon SageMaker Autopilot is an automated machine learning (AutoML) solution that performs all the tasks you need to complete an end-to-end machine learning (ML) workflow. It explores and prepares your data, applies different algorithms to generate a model, and transparently provides model insights and explainability reports to help you
Read More
Shared by AWS Machine Learning March 11, 2022
Favorite Many software as a service (SaaS) providers across various industries are adding machine learning (ML) and artificial intelligence (AI) capabilities to their SaaS offerings to address use cases like personalized product recommendation, fraud detection, and accurate demand protection. Some SaaS providers want to build such ML and AI capabilities
Read More
Shared by AWS Machine Learning March 11, 2022
Favorite Machine learning (ML) helps organizations increase revenue, drive business growth, and reduce cost by optimizing core business functions across multiple verticals, such as demand forecasting, credit scoring, pricing, predicting customer churn, identifying next best offers, predicting late shipments, and improving manufacturing quality. Traditional ML development cycles take months and
Read More
Shared by AWS Machine Learning March 11, 2022
Shared by AWS Machine Learning March 16, 2022
Shared by 
Shared by 
