A Technology Broker and Management Company Specializing in KM Systems
Favorite COVID-19 has changed our world significantly. All of this change has been almost instantaneous, forcing companies to pivot quickly and find new ways to operate. Automation is playing an increasingly important role to help companies adjust. The ability to automate business processes with machine learning (ML) is unlocking new
Read More
Shared by AWS Machine Learning November 20, 2020
Favorite AWS DeepComposer provides a creative and hands-on experience for learning generative AI and machine learning (ML). We recently launched a Transformer-based model that iteratively extends your input melody up to 20 seconds. This newly created extension will use the style and musical motifs found in your input melody and create additional
Read More Shared by AWS Machine Learning November 19, 2020
Favorite For many organizations, consolidating information assets and making them available to employees when needed remains a challenge. Commonly used technology like spreadsheets, relational databases, and NoSQL databases exacerbate this issue by creating more and more unconnected, unstructured data. Knowledge graphs can provide easier access and understanding to this data
Read More Shared by AWS Machine Learning November 18, 2020
Favorite Amazon Textract is a fully managed machine learning (ML) service that makes it easy to process documents at scale by automatically extracting printed text, handwriting, and other data from virtually any type of document. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of
Read More Shared by AWS Machine Learning November 18, 2020
Favorite We’re excited to announce dynamic filters in Amazon Personalize, which allow you to apply business rules to your recommendations on the fly, without any extra cost. Dynamic filters create better user experiences by allowing you to tailor your business rules for each user when you generate recommendations. They save
Read More Shared by AWS Machine Learning November 14, 2020
Favorite Over the past few years, businesses have experienced a steep rise in the volume of documents they have to deal with. These include a wide range of structured and unstructured text spread across different document formats. Processing these documents and extracting data is labor-intensive and costly. It involves complex
Read More Shared by AWS Machine Learning November 14, 2020
Favorite Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table. Furthermore, extracting
Read More Shared by AWS Machine Learning November 14, 2020
Favorite If you’re a Formula 1 (F1) fan, have you ever wondered why F1 teams have very different performances between qualifying and practice sessions? Why do they have multiple practice sessions in the first place? Can practice session results actually tell something about the upcoming qualifying race? In this post,
Read More Shared by AWS Machine Learning November 14, 2020
Favorite Amazon Polly is launching a new Australian English voice, Olivia. Amazon Polly turns text into lifelike speech, allowing you to build speech-enabled products. Building upon the existing Australian English Standard voices, Nicole and Russell, Olivia is the first Australian English voice in Amazon Polly powered by the Neural Text-to-Speech
Read More Shared by AWS Machine Learning November 13, 2020
Favorite Processing incoming documents such as contracts and agreements is often an arduous task. The typical workflow for reviewing signed contracts involves loading, reading, and extracting contractual terms from agreements, which requires hours of manual effort and intensive labor. At AWS Finance and Global Business Services (AWS FGBS), this process
Read More Shared by AWS Machine Learning November 13, 2020