Cloud Computing with AWS
what is AWS ❓
Amazon Web Services (AWS) :
AWS is the world’s most comprehensive and broadly adopted cloud platform Provided by Amazon, it is providing 175 Services from data centers globally. Some of the services like storage, and databases to different and new technologies, such as machine learning and artificial intelligence, data analytics, and Internet of Things.
Amazon launched AWS in the year 2006 to provide public cloud for everyday and for Millions of customers including the fastest-growing startups, largest enterprises, and leading government agencies are using AWS to lower costs, become more agile, and innovate faster.
Now Amazon (AWS) owning the 51% global market of cloud. It is lunched in it’s cloud in nearly 245 countries. It is having 77 availability zones.
Some Of The Companies using AWS:
some of the company like AUTODESK,BlueDot,OakNorth,AXA and etc..
AUTODESK :
Autodesk Uses AWS to Develop User Communities, Increase Community Participation, and Get Answers to Community Members Faster
Software provider Autodesk has hosted a community forum called Autodesk Forums for its customers since 2000, but while many customers were using it as a resource, fewer were taking the next step in engaging with the community. In fact, the forum’s most engaged users were those best versed in Autodesk’s offerings. The company wanted to expand the forum’s reach by empowering customers to not only absorb community expertise but also offer their own.
Autodesk makes software that enables people to “make anything.” Its solutions, featuring emerging technologies such as 3D printing, artificial intelligence, generative design, and robotics, are designed for builders in architecture, engineering, construction, media and entertainment, and manufacturing industries.
Autodesk chose Amazon Web Services (AWS) solutions to build and rapidly deploy a machine learning model for a new iteration of a forum called Community Match. The model would match the expertise of forum members with questions posed on the forum the idea being to encourage community members who are experts on a particular subject to share their insider knowledge on Autodesk solutions. And whereas previously customers sought Autodesk support only to troubleshoot problems, now they take advantage of the knowledge within the shared community to use Autodesk software more effectively.
To gain insight into how customers would react to email notifications to drive forum engagement, Autodesk went straight to the source, interviewing customers at an Autodesk conference with over 10,000 attendees. A major finding was that some customers’ staff members actually scour the forums or ask questions to curate content to share internally with their teams but don’t always share expertise themselves. “Many of them feel that they don’t know as much as an Autodesk employee or an Expert Elite, so they wait for someone else to respond to an incoming question even though they may be subject matter experts in that field,” says Yizel Vizcarra, data scientist on the digital help and experience team. “We wanted to encourage a sense of community in the forums and encourage people to reply when their expertise can help another individual.”
Developing Creative AWS-Backed Solutions to Serve Customers
Autodesk used an AWS serverless architecture to create a prototype of the knowledge model in just 1 week. “It was fun to create something from just an idea in such a short time by plugging together the different serverless capabilities that exist on AWS,” says Bradley. A webhook delivers real-time data to AWS from the third-party vendor where Community Match is hosted. “It provides a flexible architecture for us because we can carry that content in many different ways, not only keeping employees in the loop by sending things to Slack but also catering to our different user groups,” says Vizcarra. Autodesk split the forum users into groups: highly engaged, semi-engaged, and observers
👉Autodesk then built and trained a knowledge model, hosted on “Amazon Elastic Container Service (Amazon ECS)”
👉a common classification model based on the assumption that items close together in a dataset are typically similar using “Amazon SageMaker”.
👉The models and a series of business rules are packaged using “AWS Lambda”.
👉Autodesk enbles to run code without provisioning or managing servers, and sequenced by “AWS Step Functions”.
👉These notifications, known as recommendations, are sent using “Amazon Simple Email Service (Amazon SES)”.
👉A new Community Match iteration launched in July 2020, targeting customers who do not regularly participate. In the first 6 weeks of the forum’s launch, Autodesk sent 8,473 recommendations using “Amazon SES” and “Amazon Simple Notification Service (Amazon SNS)”.
Without making in-depth changes to its existing infrastructure, Autodesk used AWS services to reconstruct its Community Match forum to drive more customer engagement, empowering customers to share expertise that others could benefit from. The machine learning–driven forum not only enables Autodesk to creatively deliver answers to its customers but also provides the company with valuable customer insights and a flexible solution that can quickly adapt to customers’ needs. “We really do have the ability to customize it and learn from it very quickly,” says Bradley. “It’s about listening to how we can help and adapting our response to that..
BLUE DOT:
Powered by AWS, BlueDot Uses Machine Learning to Detect and Respond to Infectious Disease Risks
BlueDot was founded in 2013. According to the company’s founder, BlueDot ‘s initial business concept was inspired by the effects of the 2002–2004 SARS outbreak.The company secured $9.4 million in Series A funding in 2019, with its primary investors being Horizon Ventures, The Co-operators, and BDC Capital’s Women in Technology Venture Fund.
BlueDot’s Solution
We’ve been using machine learning to enhance the detection of global threats around the world in near real time,” says Kamran Khan, founder and CEO of BlueDot. BlueDot’s software-as-a-service platform “is gathering information on over 150 different diseases and syndromes in 65 languages and collecting this information every 15 minutes, 24 hours a day,” explains Khan. BlueDot scans official notifications, health forums, and online media for potential threats and cross-references those sources with commercial air-traffic itineraries and other datasets to predict outbreak risk and immediately notify its clients.
Benefits of Using AWS
BlueDot’s platform has to process a lot of data; that’s where Amazon Web Services (AWS) comes in. “We’ve been using natural language processing and machine learning supported by AWS to extract vital pieces of information — the name of the pathogen, the location and the time of the outbreak, and other contextual data,” says Khan. For example, BlueDot used its platform to detect an outbreak in Wuhan, China — of what would later come to be known as COVID-19. “Using these analytics, we identified the top 20 cities that we thought would be at the greatest risk of impact if COVID-19 were to continue to spread, and spread ultimately outside of mainland China,” says Khan.
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