AWS on Tuesday introduced a list of updates and additions to its suite of Amazon AI services, led by expanded support and advancements in manageability for CodeWhisperer, the coding platform based on the machine learning from the cloud computing giant.
While Amazon CodeWhisperer is still in preview, the system and AI coding assistants like it have the potential to make software developers much more productive and make coding accessible to many other enterprise users. non-technical and semi-technical, said Kashyap Kompella, an analyst at RPA2AI. To research.
“However, CodeWhisperer is likely to have the same challenges as Github’s co-pilot and the contentious issue of using open source code as training data for the underlying machine learning models needs to be resolved,” said Compella.
Some of the challenges of using open source code for AI models include security, bugs, getting support when a company can’t solve a problem on their own, and dropping out of support for some open source products.
AWS launched the new features and product upgrades at its re:Invent user conference this week.
Among the new AI features is a new loan processing tool, Amazon Textract Analyze Lending, for its Textract document text extraction system.
The lending tool enables mortgage companies to automate the classification and extraction of mortgage loan data, which can include many types of documents such as W2 forms, pay stubs and bank statements and tax.
National mortgage lender PennyMac, an early user of Amazon Textract Analyze Lending, is using the tool to process a 5,000-word mortgage application in minutes instead of hours, according to AWS.
Similar technologies have become available to other markets to fill labor shortages and get people out of repetitive tasks, said Deep Analysis analyst Matt Mullen.
“Texttract Analyze Lending seems particularly interesting as it recognizes the need for industry-specific verticalized solutions,” Mullen said.
Amazon CodeWhisperer AI Updates
New to Amazon CodeWhisperer, originally introduced in June, is support for the AWS Builder ID authentication system, allowing AI developers to securely log in with an email address for their development environment. integrated with AWS Toolkit.
Another update is that the platform now makes code recommendations for several widely used AWS services, including Amazon Elastic Compute, AWS Lambda, and Amazon Simple Storage System (S3).
The company said it made Amazon CodeWhisperer easier to administer by adding it to the AWS Management Console so any authorized AWS administrator can activate the system for their organization.
More Amazon AI Features
In another evolution of one of its existing systems, AWS has added new functionality to its Amazon Kendra enterprise search service that supports tabular search in HTML.
Using natural language, users can now find and extract accurate answers from HTML tables. This capability solves the widespread problem of finding information and revealing information from unstructured datasets such as HTML tables, which requires extracting information from two-dimensional formats such as rows and columns, according to AWS.
Meanwhile, with its call center system updatesseller also introduced Amazon Transcribe Call Analytics, an addition to Amazon Transcribe, the tech giant’s automatic speech recognition service.
AWS said the tool improves the customer experience with voice models that provide real-time conversation insights and identify call sentiment, and automatically generate call summaries, eliminating the need for agents from the contact center to take notes.
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