& cplSiteName &

AWS Speeds Up Machine Learning & Deepens Natural Language Recognition

Mitch Wagner
7/17/2018
50%
50%

Amazon Web Services is making it easier for developers to train their machine learning algorithms more quickly, and also introducing tools to improve natural language recognition.

As part of its usual fusillade of announcements at its AWS Summit New York developer conference Tuesday, Amazon introduced upgrades to its SageMaker machine learning engine. The new tools are designed to allow developers to get test data to SageMaker faster to speed up training of machine learning algorithms.

Previously, developers could stream data from Amazon S3 cloud storage to train SageMaker's built-in algorithms, eliminating the need for developers to transport hundreds of terabytes of test data to SageMaker. AWS launched SageMaker Streaming Algorithms, which allows developers to stream data to the developers own, custom algorithms. Streaming can reduce training time by up to 90%, improving efficiency and reducing cost, because AWS services are time-metered.

AWS's Matt Wood
AWS's Matt Wood


Now entering its fifth year, the 2020 Vision Executive Summit is an exclusive meeting of global CSP executives focused on navigating the disruptive forces at work in telecom today. Join us in Lisbon on December 4-6 to meet with fellow experts as we define the future of next-gen communications and how to make it profitable.


Also, SageMaker Batch Transform allows cloud operators to transform data dumps in batches -- for example, using billing, inventory or product sales data received daily, rather than in real-time.

"We see a dramatic decrease in time for customers to take their deep training models, train them up, and put them into production," Matt Wood, GM of deep learning and AI, said at the conference keynote Tuesday morning.

AWS launched SageMaker in November as a means of simplifying machine learning. (See Amazon Brings Machine Learning to 'Everyday Developers'.)

Additionally, the cloud provider added new natural language capabilities to its Amazon Lex service for building conversational bots. AWS added Channel Synthesis, to allow its Transcribe service to work on multi-channel audio. That makes Transcribe more useful in call center operations, where audio is typically split into individual tracks for callers and operators. Transcribe operates on each channel separately and then uses timestamps to synthesize compiled transcripts, which enterprises can use for sentiment analysis -- determining whether customers calling in are unhappy, and precisely what they're unhappy about. Enterprises can also use transcripts for compliance, to determine whether agents are using the correct phrasing when interacting with customers.

Amazon Translate also gets support for new languages – namely Japanese, Russian, Italian, traditional Chinese, Turkish and Czech, with a dozen more to come – and new Comprehend Syntax Identification features to improve fine-grained text analysis by labeling parts of speech.

Also on Tuesday, AWS introduced new compute capabilities for its "Snowball" on-premises private cloud device and EC2 public cloud compute instances. (See AWS Boosts 'Snowball' Edge Device & EC2.)

Related posts:

— Mitch Wagner Follow me on Twitter Visit my LinkedIn profile Visit my blog Follow me on Facebook Executive Editor, Light Reading

(0)  | 
Comment  | 
Print  | 
Newest First  |  Oldest First  |  Threaded View        ADD A COMMENT
Featured Video
Flash Poll
From The Founder
After almost two decades at Light Reading, it's time for a different optical adventure.
Upcoming Live Events
September 24-26, 2018, Westin Westminster, Denver
October 9, 2018, The Westin Times Square, New York
October 23, 2018, Georgia World Congress Centre, Atlanta, GA
November 6, 2018, London, United Kingdom
November 7-8, 2018, London, United Kingdom
November 8, 2018, The Montcalm by Marble Arch, London
November 15, 2018, The Westin Times Square, New York
December 4-6, 2018, Lisbon, Portugal
March 12-14, 2019, Denver, Colorado
All Upcoming Live Events
Hot Topics
MWCA Day 2 Recap: '5G' Rolls Out & We Roll On
Phil Harvey, US News Editor, 9/14/2018
Apple: It's the End of the SIM as We Know It
Iain Morris, International Editor, 9/13/2018
MWCA Day 1 Recap: 5G Is Here…?
Phil Harvey, US News Editor, 9/13/2018
So Long, & Good Luck With That
Steve Saunders, Founder, Light Reading, 9/14/2018
DT's Terastream: A Bigger Splash?
Iain Morris, International Editor, 9/13/2018
Animals with Phones
Live Digital Audio

A CSP's digital transformation involves so much more than technology. Crucial – and often most challenging – is the cultural transformation that goes along with it. As Sigma's Chief Technology Officer, Catherine Michel has extensive experience with technology as she leads the company's entire product portfolio and strategy. But she's also no stranger to merging technology and culture, having taken a company — Tribold — from inception to acquisition (by Sigma in 2013), and she continues to advise service providers on how to drive their own transformations. This impressive female leader and vocal advocate for other women in the industry will join Women in Comms for a live radio show to discuss all things digital transformation, including the cultural transformation that goes along with it.

Like Us on Facebook
Partner Perspectives - content from our sponsors
One Size Doesn't Fit All – Another Look at Automation for 5G
By Stawan Kadepurkar, Business Head & EVP, Hi-Tech, L&T Technology Services
Prepare Now for the 5G Monetization Opportunity
By Yathish Nagavalli, Chief Enterprise Architect, Huawei Software
Huawei Mobile Money: Improving Lives and Accelerating Economic Growth
By Ian Martin Ravenscroft, Vice President of BSS Solutions, Huawei
Dealer Agent Cloud – Empower Your Dealer & Agent to Excel
By Natalie Dorothy Scopelitis, Director of Digital Transformation, Huawei Software
All Partner Perspectives