Amazon Web Services this week detailed the latest innovations in cloud, machine learning, data analytics, 5G and Internet of Things technology at its 10th annual New Conference: Invent.
In his first speech as the company’s new CEO, Adam Selipksy reinforced how AWS “continues to be the most comprehensive and widely accepted cloud offering in the world further democratizing the use of cloud technology”.
Selipsky also unveiled six key service announcements to help businesses and government organizations reduce their IT spending, improve their customer experience, and make better use of data power to make better decisions.
Phil Davis, regional managing director for AWS in Asia-Pacific and Japan, says the launches are the next iteration of its ongoing innovation to help solve problems on behalf of its customers.
“We are focused on helping clients empower their digital transformation across Asia Pacific and Japan so they can build innovative solutions that improve lives and protect our planet,” he says.
“As we enter a formative era of data analytics and machine learning, AWS will continue to help democratize the cloud for our local customers by giving them access to the right tools and digital capabilities to help improve productivity. and customer experience, so that they can embrace evolving technologies. “
New AWS-enabled chip-enabled installations reduce costs and increase energy efficiency
“In 2006, when cell phones could spin but were not yet smart, a team of AWS engineers set themselves the ambitious goal of making computing power almost endless for anyone in the world,” says Selipksy.
“And they did. The service they created, Amazon Elastic Compute Cloud (EC2), revolutionized the way people build businesses by providing on-demand access to computing power previously only available to Fortune 500 companies.
“Fifteen years later, and EC2 shows no sign of slowing down.”
AWS announced three new Amazon EC2 instances powered by three new chips designed by AWS: AWS Graviton 3, AWS Trainium and AWS Nitro SSD. The chips will help customers significantly improve the performance, cost and energy efficiency of the workloads they use in EC2, speed up the time it takes to train machine learning models at a lower cost, and ensure optimal performance. storage for data intensive workloads.
Making it easier to move outside of a mainframe
While mainframes have been used for decades in industries including banking and healthcare, they are complex, expensive and difficult to scale. This is not to say that written applications for mainframes are becoming increasingly difficult to manage, as fewer and fewer engineers specialize in what is essentially an outdated technology.
According to AWS, many organizations want to modernize their systems and move from mainframe to cloud, but are constrained by the sheer complexity of the process and the time-consuming nature.
This is why the new managed service AWS Mainframe Modernization, which makes moving mainframe workloads in the cloud faster and easier, can be a big job for companies that want to make the move fast.
Setting up a 5G private network with just a few clicks
More and more companies need to collect, analyze and transfer large amounts of data from sensors and devices in their operations, and many want to use mobile technologies like 5G to help them do just that. The advantages of 5G are that it allows organizations to connect more devices and transfer data more cost-effectively and flexibly than current wireless and wireless networking technologies.
The problem lies in building your 5G private network generally requires significant investments in both hardware and software and in the time required to configure it.
“AWS Private 5G promises to change everything. It will enable companies to set up 5G private networks in their facilities within days instead of months,” says Selipksy.
“With a few clicks, customers can specify the geographic area they want to cover, along with the amount of traffic they expect the network to handle, and AWS will do the rest – providing everything they need to operate the network, so they do not “You do not need to purchase, integrate and maintain hardware and software from multiple vendors.”
The right capacity for data analysis, just when you need it
Many AWS clients make data-based decisions using a wide range of company-created analytics services.
AWS has released server-free versions of three popular AWS analytics services: Amazon RedShift, Amazon MSK, and Amazon EMR.
“Essentially, what this means is that customers in industries ranging from farm to gaming to financial services and beyond can analyze the data on a scale without having to worry about having to create and manage any basic infrastructure for them. support him, “says Selipksy.
“Server-free options will automatically add or subtract resources instantly to provide the right amount of analytical capacity, exactly when customers need it.”
Digital twins that can transform industrial operations
Digital twins are virtual representations of physical systems, regularly updated with data to generate instant knowledge about the operational state of environments that are created to mimic.
Many industrial companies have large amounts of data in their facilities needed to build digital twins, but creating and managing them can be challenging, even for the most technically advanced organizations, so most are not able to ‘use them.
AWS IoT TwinMaker will make it faster and easier for companies to create digital twins of buildings, factories, industrial equipment, production lines and any other physical system, helping them do things like optimize operations, increase production and improve equipment performance. as well as faster and more accurate response when problems arise.
Help car manufacturers make better and safer vehicles
Carmakers have sprung up in the form of AWS IoT FleetWise – a new service created to make it easier and more cost-effective to collect and transfer vehicle data in the cloud in near real time.
“Why does this matter? Well, manufacturers have been collecting data from standard vehicle sensors for years to improve vehicle quality and safety, but as these sensors advance, they also generate a lot more data,” says Selipksy.
“Today’s sensors can produce up to two terabytes of data per hour per vehicle (roughly equivalent to 1000 hours of movies), making the cost of transferring them to the cloud extremely expensive. AWS IoT FleetWise will allow manufacturers to collect and organize data from vehicles, regardless of make or model, and standardize them for cloud analysis, ”he explains.
“Among other things, it will help them diagnose problems in individual vehicles, analyze the health of the vehicle fleet to help prevent potential withdrawals or safety issues, and use analytics and machine learning to improved advanced technologies such as autonomous management. “