This is the golden age of machine learning (ML). Once considered peripheral, ML technology is becoming a core part of businesses around the world, regardless of the industry. By 2021, the International Data Corporation (IDC) estimates that spending on artificial intelligence (AI) and other cognitive technologies will exceed $50 billion.
Locally, 25% of organizations say they are setting aside at least 10% of their budget for technology, which includes investments in big data analytics (64%), cloud computing (57%), Machine Learning and artificial intelligence (33%), and robotic process automation (27%), based on the Malaysian Institute of Accountants’ “MIA-ACCA Business Outlook Report 2020″. [1] As more companies gain awareness of the importance of ML, they should work towards getting it in motion as quickly and effectively as possible.
At Amazon, we have been on our own ML journey for more than two decades – applying it to areas like personalization, supply chain management, and forecasting systems for our fulfillment process. Today, there is not a single business function at Amazon that is not made better through machine learning.
Whether your company is just getting started or in the middle of your first implementation, here are the four steps you should take to have a successful machine learning journey.
Get Your Data in Order
When it comes to adopting machine learning, data is often cited as the number one challenge. We found that more than 50% of time spent in building ML models can be spent in data wrangling, data cleanup, and pre-processing stages. Therefore, prioritize investing in the establishment of a strong data strategy to avoid spending excessive time and resources on data cleanup and management.
When starting out, the three most important questions to ask are:
What data is available today?
What data can be made available?
A year from now, what data will we wish we had started collecting today?
In order to determine what data is available today, you will need to overcome data hugging – the tendency for teams to gatekeep data they work with most closely. Breaking down silos between teams for a more expansive view of the data landscape while still maintaining data governance is crucial for long-term success.
Additionally, identify what data actually matters as part of your machine learning approach. Think about best ways to store data and invest early in the data processing tools for de-identification and/or anonymization, if needed.
Identify the Right Business Problems
When evaluating what and how to apply ML, focus on assessing the problem across three dimensions: data readiness, business impact, and machine learning applicability.
Balancing speed with business value is key. Instead of trying to embark on a three-year ML project, focus on a handful of critical business use cases that could be solved in the upcoming six to 10 months. Start by identifying places where you already have a lot of untapped data and evaluate if machine learning brings benefits. Avoid picking a problem that is flashy but has unclear business value, as it will end up becoming a one-off experiment.
Champion a Culture of Machine Learning
In order to scale, you need to champion a culture of machine learning. At its core, ML is experimentation. Therefore, it is imperative that your organization embrace failures and take a long-term view of what is possible.
Businesses also need to combine a blend of technical and domain experts to work backward from the customer problem. Assembling the right group of people also helps eliminate the cultural barrier to adoption with a quicker buy-in from the business.
Similarly, leaders should constantly find ways to simplify the process of ML adoption for their developers. Since building ML infrastructures at scale is a time and labor-intensive process, leaders should encourage their teams to use tools that cover the entire ML workflow to build, train, and deploy these models efficiently.
For instance, 123RF, a homegrown stock photography portal, aims to make design smarter, faster, and easier for users. To do so, it relies on Amazon Athena, Amazon Kinesis, and AWS Lambda for data pipeline processing. Its newer products like Designs.ai Videomaker uses Amazon Polly to create voice-overs in more than 10 different languages. With AWS, 123RF has maintained flexibility in scaling its infrastructure and shortened product development cycles and is looking to incorporate other services to support its machine learning & AI research.
Develop Your Team
Developing your team is essential to foster a successful machine learning culture. Rather than spending resources to recruit new talent in a competitive market, hone in on developing your company’s internal talent through robust training programs.
Years ago, Amazon created an in-house Machine Learning University (MLU) to help its own developers sharpen their ML skills or equip neophytes with tools to get started. We made the same machine learning courses available to all developers through AWS’s Training and Certification offering.
DBS Bank, a Singaporean multinational bank, employed a different approach. It is collaborating with AWS to train its employees to program their own ML-powered AWS DeepRacer autonomous 1/18th scale car, and race among themselves at the DBS x AWS DeepRacer League. Through this initiative, it aims to train at least 3,000 employees to be conversant in AI and ML by year end.
[1] MIA (Malaysian Institute of Accountants) and ACCA (Association of Chartered Certified Accountants), Business Outlook Report 2020, 2020
COVID-19 poses a unique challenge to businesses, forcing them to adopt practices which many only saw further down the road when it came to their digitization plans. In fact, we’ve seen the effects of the pandemic on many businesses who have failed to adapt or adopt plans to build in resilience in these unprecedented times. That said, the big question remains, “How can businesses be more resilient with the COVID-19 reality?”.
There are many factors that lend itself to a business’s resilience but one of the biggest factors is the company’s progress in their plans for digitization. Conor McNamara, Managing Director of ASEAN at Amazon Web Services (AWS), highlights that a company’s progress towards digitization, particularly in their adoption of cloud technologies, has been one of the determining factors of resilience during these times. He has also highlighted that the transition to the cloud isn’t simply a technological one, it’s a multifaceted one that builds in capacity, increases agility, changes mindsets, and transforms the culture of an organisation.
Thriving Businesses Have Used COVID-19 as an Impetus for Digitization
No one can deny it. The COVID-19 pandemic has changed the way that companies and businesses need to operate. Research has shown that the new realities of the pandemic have led to an increase in demand for resources such as the internet. This is inevitably spurred by the increased adoption of work from home policies necessitated by lockdowns the world over – a clear indication that our business realities have changed. This is corroborated by AWS, which reported an increased uptake of services such as Amazon Chime, their web-conferencing platform, Amazon Workspaces and other productivity related services.
“The COVID-19 pandemic has underscored the importance of digital transformation across all industries. So far indications are that organizations, including those in ASEAN, have already adopted DX plans and/or accelerated their transformation plans have been known to have coped better with the crisis.”
Daphne Chung, Research Director, IDC Asia Pacific (excluding Japan) cloud services, and software research group
That said, digitization doesn’t happen overnight. Companies have to create an environment that allows and empowers staff and decision makers to adopt technologies such as AWS. The adoption of public and private cloud technologies have allowed many AWS customers to adapt to the new realities more seamlessly. In fact, Globe Telecom was able to spin up virtual call centers with Amazon Connect which allowed them to adapt to the new realities with ease and even increase staff productivity since the pandemic hit. What’s more, the company was able to affect this transition in 24 hours. Of course, the reality is that not many companies will be able to do this.
“Many businesses and organizations have now understood the importance of the cloud and are committed more than ever to get their business on the cloud. At AWS, we keep many organizations functioning, and allow them to adapt when a crisis such as the pandemic occurs.”
Conor McNamara, Managing Director of ASEAN at Amazon Web Services
The new realities of the pandemic have allowed companies to expedite their plans for digitization and cloud adoption. Those who have been successful in taking advantage of the new realities as an impetus for plans already in the pipeline are the ones who have most demonstrated the most resilience with the current situation.
It’s always been said that digitization is a journey. Yet, we never think to ask who would be the best to guide and determine the course the company takes. Conor McNamara stresses that the business resilience of any given orgranisation is very dependent on the company’s executives. Decisions and policies made by CXOs are what will enable companies to maximize the opportunity that COVID-19 has presented to accelerate a company’s digital trajectory.
It’s pretty simple; when the decision to adopt cloud technologies and further advance the company’s digital journey comes from the level of CXOs, it naturally sets off a cascade which will allow companies to think differently. The CEO’s acceptance that the future of business is in the cloud sets off a cascade of events that start with the search for and upskilling of staff to meet the new needs of the business. The demand for skills that enable the company to be competitive and prepared for further advancements in their journey. It also creates a new mindset mired in the need to be agile and proactive to meet customer needs.
IDC sees an opportunity to manage the downturn better by using technology to minimize the impact of the current crisis and emerge on the other side of the curve resilient, more digitally fit and agile, and ultimately, better equipped to capture their share of the new opportunities as part of the “next normal”.
Daphne Chung, Research Director, IDC Asia Pacific (excluding Japan) cloud services, and software research group
This impetus prepares businesses to handle situations like the current pandemic. The skills, demands and needs of businesses literally changed overnight as countries began to lockdown. Brick and mortar businesses were forced to consider adopting digital and cloud technologies to keep their businesses viable. Businesses which were already making the shift to cloud and digital technologies with CXO driven policies have so far been the most resilient and adaptable.
In fact, the current realities have been used as an opportunity to upskill workforces. AWS shares that since the beginning of the lockdowns, there has been a sharp uptick in the demand for certification courses and trainings in their AWS Education platform.
It’s a People Related Change
Perhaps the most important quote we can share from Conor McNamara is this: “[Digital Transformation] is a People related change”. He said this while he was explaining some of the new realities AWS’s customers have been facing – and when it comes to it, it seems like the statement rings true in every aspect of a business’ digital transformation; every step of the way involves dealing with people.
The digital transformation journey is one that involves a major cultural change. A change that shifts the mindset of preparedness to deal with any given situation. Creating a culture of work which prepares staff for ambiguity and change. In some cases, these businesses have made failure a norm. They adopt providers such as AWS to minimise the cost of failure and continue to innovate. This is one of the hallmarks of a business which has been able to deal with the realities of the pandemic. These companies are ready or have already adopted cloud and are prepared for the new work from home norm; it wouldn’t be too farfetched to say that they may be the ones best prepared for the next norm post COVID.
Adopting cloud and shifting to digital usually has the connotation of being cold and impersonal. However, one take away from businesses that are showing resilience is that it couldn’t be further from the truth. These businesses have shifted their focus to their clients and customers building solutions catered to their needs. Perhaps more importantly, their digital transformation and shift to the cloud has made them more cognizant to the needs of their clients and customers.
Business Resilience is Built from the Top Down and Empowered by the right technologies
Essentially, business resilience is built from the top down with policies spearheaded by CXOs and CEOs that drive a cultural change in the company; one which prepares them for sudden and constant change, allowing businesses to be agile and adaptable. That said, these changes are empowered by companies such as AWS who provide the cost optimizations and technologies that allow this shift to happen. This has been tried and tested with the harsh realities of the pandemic.
As the world rapidly evolves, digitalization is taking place across all aspects of life, and ushering in a rise in cloud adoption. Today, it is vital for employees to understand and acquire the skills it takes to succeed and stay relevant for jobs in the digital economy. Cloud architects must keep up with the pace by adapting and expanding their existing skillset in order to be considered valuable candidates and employees.
As cloud adoption rises, it is not surprising to see growing demand for cloud expertise. Based on the Malaysian Institute of Accounts’ “MIA-ACCA Business Outlook Report 2020,” 25% of organizations in Malaysia say they are allocating at least 10% of their budget for technology, including investing in big data analytics (64%), cloud computing (57%) and more.[1] Yet, research shows that 90% of IT decision-makers report cloud skills shortages in their workforce.[2]
When I first started out in the IT industry years ago, the role of cloud architect was almost nonexistent. However, cloud adoption has grown considerably since then, and the role of cloud architect is currently in high demand and will continue to present endless opportunities for business growth and innovation.
But first – what does a cloud architect do?
Cloud architects are responsible for managing an organization’s cloud computing architecture. They have in-depth knowledge of the architectural principles and services used to develop technical cloud strategy, assist with cloud migration efforts, review workload architectures, and provide guidance on how to address high-risk issues. To do this, cloud architects need a mix of business, technical, and people skills, as well as an understanding of the always-evolving, technical training that may benefit their team.
At Amazon Web Services (AWS), I lead a team of cloud solutions architect in Southeast Asia, and we are constantly on the lookout for individuals with a builder’s mentality and a desire to build, invent, and innovate on behalf of their customers. This is especially important as the role of cloud architect has evolved beyond just architecting infrastructure solutions like database and storage, to building and innovating reliable solutions that involve emerging technologies such as machine learning.
What skills are most important for a cloud architect?
Flexibility and Eagerness to Learn
A cloud architect must be able to work in a wide variety of scenarios and be open to learn the unique requirements of each project. With a curious mind-set, cloud architects can be better equipped to seek out new approaches to problem solving.
Cloud architecture professionals must possess strong time management skills. Their days are varied and can include customer meetings to discuss problems and needs and designing architectural frameworks for those needs. As such, cloud architects are mindful to plan their days, prioritize their time on tasks, and understand how to maximize small pockets of time.
Communication Skills, Business Acumen, and Decisiveness
Cloud architects are encouraged to ask for a seat at the decision-making table and be prepared to communicate their design to any stakeholder. Successful cloud architects know how to communicate to audiences with little or no technical knowledge, while aligning their recommendations to business imperatives and the bottom-line. Other than that, stakeholders also rely on cloud architects to provide guidance from a calm, leading place of domain authority.
Industry Technical Credentials
A cloud architect must also possess the necessary technical skills to serve as the foundation for cloud architecture planning and management, including basic programming, software development and continuous integration, database, networking and security skills, modern application architecture skills, and more.
Additionally, cloud architects can attain an industry-recognized certification, such as the new AWS Certified Solutions Architect – Associate certification, which validates the ability to design and deploy well-architected solutions on AWS that meet customer requirements.
Over the last few years, I have seen cloud computing evolve from a relatively unknown technology to a leading driver of business results. While the technology has grown and changed significantly, most skills needed to succeed in its use have remained largely constant. By committing to understand how to use cloud to its full potential – and empowering the professionals who make that possible – we can make the most of the tremendous opportunity cloud creates for businesses and employees to thrive.
[1] MIA (Malaysian Institute of Accountants) and ACCA (Association of Chartered Certified Accountants), Business Outlook Report 2020, 2020
Paul Chen is the head of Architecture for Amazon Web Services ASEAN, Paul is responsible for managing a regional team of Solutions Architects, creating architectural best practices and working with customers on how they use the cloud for business transformation.
He has 30 years of pre-sales leadership and solutions experience in the IT Industry, with 15+ years in technical management across ASEAN and Asia Pacific. His breath of technology experience includes cloud architectures, application solutions development, database platforms, web-based applications, networking, enterprise mobility solutions, virtualized unified communications and customer experience platforms.
Can you briefly explain AWS Outposts?
AWS Outposts is here to support your applications that have low latency or local data processing requirements on premise. These applications may need to make near real time responses to end user applications or need to communicate with other on-premises systems or control on-site equipment. These can include workloads running on factory floors for automated operations in manufacturing, real time patient diagnosis or medical imaging, and content and media streaming. You can use AWS Outposts to run applications that need to access data stores that will continue to remain on-premises.
Businesses in Malaysia are stuck somewhere in between when it comes to could computing and going digital. Can AWS Outposts help them accelerate their digitisation? How can they benefit from it?
We continue to believe that in the fullness of time, the vast majority of companies will run almost all of their IT workloads in the cloud. It is today and always has been a priority for us to make it easy for customers to run AWS as a seamless extension of their existing on-premises infrastructure. However, we have many customers who are going to be running on-premises data centers alongside AWS for many years to come and at varying paces. These customers are looking to us to help ensure that they have seamless integration between these two environments. That’s why we have been investing so much in hybrid capabilities over the past several years.
AWS offers the broadest and deepest hybrid capabilities including data integration and transport services, integrated and dedicated networking services, and identity and access management solutions fully integrated with the on-premises environment. Today, customers can take the tools they have from VMware and use them to run their workloads on AWS. This partnership makes it easy for customers to run in a hybrid mode between AWS and their VMware-based on-premises deployments using the same VMware tools and skillsets they have today. And with the availability of AWS Outposts, customers can now use the same AWS APIs, control plane, tools, and hardware on-premises and in the AWS cloud to deliver a truly consistent hybrid experience.
Why choose Outposts instead of using the AWS’s pre-existing cloud infrastructure?
AWS Outposts is designed for several different uses cases where workloads need to run on premises due to latency requirements, like:
Manufacturing automation—operating manufacturing process control systems and automated plant assembly lines
Health care—delivering real-time medical diagnostics and imaging to physicians
Telecommunications—building new network services and deploying virtual network functionality
Media & entertainment—delivering live event streaming, real-time gaming, rendering, and VFX
Financial services—developing low latency trading platforms in a secure environment
Retail—delivering real-time interactive retail services and unifying apps across environments
With Outposts, customer can benefit of running low-latency workloads, processing data locally and be able to harness the innovative services available on the AWS cloud. This can mean advanced analytics to monetize data or adding machine learning and artificial intelligence services such as Amazon Rekognition, Amazon Personalize and Amazon Comprehend.
Customers should run AWS Local Zones when they need to run their applications with single-digit millisecond latencies close to end users, but they don’t want to build and operate a datacenter or co-location facility. They can run the parts of their application in the Local Zone that requires ultra-low latency and connect back to the rest of their application and the full range of services running in AWS.
Customers should run AWS Wavelength when they want to build an applications that require single digit millisecond latency to mobile and connected devices over the 5G network. A range of emerging applications like machine learning inference, industrial IoT, and AR/VR require ultra-low latency to serve mobile users and connected devices, ad developers can place the parts of their application that require single-digit millisecond latency at the edge of the 5G network and then connect back to the rest of the application and the full range of services in AWS.
During the launch at AWS Re:invent last year, AWS announced that it was partnering with Verizon in the US. Why launch with a telco provider?
Amazon is partnering with Verizon to incorporate AWS WaveLength technology into parts of its wireless network. Amazon is also working with other global partners, such as Vodafone, KDDI and SK Telecom to provide this capability. This capability will result in fewer disruptions and shorter lag times when streaming videos, among other applications.
Who are your partners in rolling out Outposts in Malaysia? What are the roles that they are playing in providing the service to customers?
One of the partners in Malaysia is Maxis where they will incorporate Maxis cloud offerings and professional services to incorporate hybrid cloud and technologies to address edge computing.
We also have InfoFabrica who will be working with us to help outfit interested customers with Outposts.
We operate on a few models; customers will come directly to us or work with partners with Malaysia. Marketplace model – direct from us. Reseller model – contact reseller and work with the customers on the Outposts. – NSI model – customer work through NSI.
AWS Partner Network (APN) Partners provide technology and consulting services to help customers migrate, build, and run applications using AWS services.
APN Consulting Partners around the globe can help you with strategy and technology advisory services to migrate your on-premises applications onto Outposts as well as a variety of installation and maintenance options. You can also use Outposts validated technology partner solutions to build and run your applications on Outposts.
Does Outpost require a stable internet connection to operate? Can customers use Outpost offline? What happens to workloads if internet connection is lost suddenly?
To provide a consistent user experience, AWS advises customers to have 1GB internet over direct connect or VPN. The rack only needs 10MB to run but AWS recommends a default of 1 GB to be safe.
An AWS Outpost relies on connectivity to the parent AWS Region. AWS Outposts are not designed for disconnected operations or environments with limited to no connectivity. We recommend that customers have highly available networking connections back to their AWS Region. If interested in leveraging AWS services in disconnected environments such as cruise ships or remote mining locations, learn more about AWS services such as Snowball Edge.
If connection is lost suddenly, EC2 instances and EBS volumes on the Outpost will continue to operate normally and can be accessed locally via the local gateway. Similarly, AWS service resources such as ECS worker nodes continue to run locally. However, API availability will be degraded, for instance run/start/stop/terminate APIs may not work. Instance metrics and logs will continue to be cached locally for a few hours and will be pushed to the AWS Region when connectivity returns. Disconnection beyond a few hours however may result in loss of metrics and logs. As Route53 DNS will not resolve when disconnected, an on-premises DNS resolver should be used if network disconnections are expected. If you expect to lose network connectivity, we strongly recommend regularly testing your workload to ensure it behaves properly in this state when an Outpost is disconnected.
AWS Outposts are a managed service according to your website. What does “Fully Managed” mean? What does this entail?
AWS Outposts is the only fully managed offering available to customers today. AWS delivers, installs, and maintains the infrastructure the same way as we do in our data centers. Competitive offerings do not address key customer pain points in a production grade hybrid environment. They require customers to build against a limited set of services and APIs, forcing them to write custom software that quickly becomes inconsistent and incompatible with cloud services. It requires customers to set up and manage different operating environments for each site, resulting in duplicate effort, higher complexity, and increased risk. Customers must also manually manage, upgrade, and patch software themselves, and risk dropping out of compliance if they fail to upgrade. Customers also have to purchase hardware from third party vendors, who are responsible for providing the first line of customer support, making it administratively difficult to debug and resolve their issues.
How secure is AWS Outpost? Are there built-in redundancies when it comes to preventing data loss and data security?
Each AWS Outposts rack has a built-in tamper detection and a lockable door. AWS engineered a capability in a form of security key that looks like a screw specifically made for the chip. To remove the hardware from the rack, you must use the screw and turn it and it will crush the security chip key and once its crushed, the server and the data is protected. It is also encrypted by default.
AWS Outposts builds on the AWS Nitro system technologies that enables AWS to provide enhanced security that continuously monitors, protects, and verifies your Outpost’s instance hardware and firmware. With AWS Nitro, virtualization resources are offloaded to dedicated hardware and software minimizing the attack surface. Finally, Nitro System’s security model is locked down and prohibits administrative access, eliminating the possibility of human error and tampering.
AWS Outposts have an updated shared responsibility model underlying security. AWS is responsible for protecting Outposts’ infrastructure similar to how it secures infrastructure in the cloud today. Customers are responsible for securing their applications running on Outposts as they do in the Region today. With Outposts, customers are also responsible for the physical security of their Outpost racks, and for ensuring consistent networking to the Outpost.
Securing data
Data-at-rest: Data is encrypted at rest by default on EBS volumes on Outposts.
Data-in-transit: Data is encrypted in transit between Outposts and the AWS Region.
Deleting data: All data is deleted when instances are terminated in the same way as in the AWS Region.
AWS Outposts have been out for more than half a year now. How many countries is the service available in?
Outposts can be shipped to and installed in the following countries
NA – US, Canada, Mexico
EMEA – All EU countries, Switzerland, Norway, Bahrain, United Arab Emirates (UAE), and Kingdom of Saudi Arabia (KSA), Israel, South Africa
APAC – Australia, New Zealand, Japan, South Korea, Hong Kong Special Administrative Region, Taiwan, Singapore, Indonesia, Malaysia, Thailand, India
SA – Brazil
Support for more countries is coming soon.
Have there been any particular segment of customers that have adopted Outposts more than others? Do you see an opportunity for other segments to take advantage of Outpost?
There has been broad interest in AWS Outposts from both enterprise and start up customers, across a range of industries including financial services, e-commerce, healthcare and manufacturing.
With AWS Outposts infrastructure, customers in manufacturing can AWS services to run manufacturing process control systems such as MES and SCADA systems and applications that need to run close to factory floor equipment. These on-premises applications can integrate with services running in the AWS Region for centralized operations.
Healthcare customers can apply analytics and machine learning AWS services to health management systems that need to remain on premises due to low latency processing requirements. This will enable rapid retrieval of medical information by storing data locally on Outposts.
At the launch, Andy Jassy mentioned that the launch of AWS Outposts is step in providing services for edge computing. How does Outposts do this?
One common scenario for AWS Outposts is running applications that need single-digit millisecond latency to end-users or onsite equipment. Customer may want to run graphics-intensive applications such as image analysis that need low-latency access to end-users or storage-intensive workloads that collect and process hundreds of TBs daily. Others may need to run compute-intensive workloads on their manufacturing factory floors with precision and quality. Customers want to integrate their cloud deployments with their on-premises environments and use AWS services for a consistent hybrid experience. Outposts is both a way to deploy an AWS-centric hybrid-cloud and an edge computing approach.
How do you see the landscape changing with the introduction of AWS Outposts?
With the introduction of AWS Outposts, customer from a broad array of industries can bring the benefits of cloud computing right to their business door-steps. Business solutions requiring low latency performance can seamlessly be integrated to the cloud and deployed to provide a truly hybrid experience. Customers that have large amount of on-premise data can also process these sets of data in more meaningful ways to monetize the data assets. In this AWS hybrid-cloud approach, you use the same AWS application programming interfaces (API), tools and infrastructure both on your premises and the AWS cloud. Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility.
With Malaysia’s big move into supporting and growing its tech space, particularly its animation and game development segment, where do you see AWS Outposts fitting in?
In the gaming industry, the applications tend to be very sensitive to latency and require considerable processing resources to provide rich animation and customer experience.
With AWS Outposts, gaming developers will have access to the latest GPU innovations on premises for graphics processing, audio and video rendering, and for running other media applications. Support live and real-time event streaming applications that require low latency by running those applications in on-premises locations close to end users.
AWS (Amazon Web Services) isn’t slowing down for anything! The company is making quick work of expanding the availability of their Outposts technology. The latest countries to join the fold is Thailand and India with the rollout coming near simultaneously with Malaysia’s.
The new AWS Outposts feature will bring the power of AWS into the on-premises arena in Thailand and India. This will give businesses the flexibility of adopting cloud infrastructure without sacrificing valuable time migrating their on-premises data to a new cloud server. Instead, they will be able to bring the power and flexibility of the AWS cloud to their on-premise data.
The highly flexible and adaptable system allows businesses to deploy all of AWS’s technologies including their EC2 (Elastic Compute Cloud), EKS (Elastic Kubernetes Services), RDS (Relational Database Service) and more to help deploy and make sense of the large amounts of data they may have stored on-premises. They will also be able to keep sensitive data off the cloud while getting the benefit of being able to utilise them in computational and machine learning models. In addition, the close proximity of AWS’s many technologies and services also means that businesses stand to benefit from lower latency when it comes to deploying these assets.
The AWS Outposts on-premises hardware is a fully managed service. Businesses will not need to worry about downtime or learning a new interface. In fact, AWS Outposts shares the same interface as its online counterpart. This also removes the lag time required for staff to learn new platforms and interfaces.
Paradigms are shifting when it comes to how companies are managing their data. It shifted from having their own, on-premise servers to having cloud based infrastructure to support their data storage and compute needs. Now, the paradigm is shifting to a complementary approach which focuses on what the industry is calling – the hybrid cloud. Amazon Web Services (AWS) addressed the growing demand for a hybrid solution for their customers with their announcement of AWS Outposts at their annual Re:Invent conference last year.
The new AWS Outposts offering brings the power and flexibility of AWS’s cloud platform on premises for businesses that require it. The service provides customers with an customizable server stack that is able to provide any of AWS’s numerous modules. These workloads can then function exactly like their cloud counterparts but at a drastically reduced latency; allowing for local processing for workloads that require low latency. The new service also allows users to store and access their data locally. This negates the need for businesses to sacrifice large chunks of time uploading their data to cloud servers and data lakes. It also helps businesses that handle sensitive data maintain their integrity while bringing them into the future.
AWS Outposts are a fully managed service allowing companies to rest at ease when it comes to maintenance and troubleshooting. In fact, AWS Outposts are designed to give the exact same user experience as AWS’s regular services. Users won’t need to learn a totally new interface or jump between the interfaces when it comes to handling these hybrid workloads. Outposts are also able to interact with AWS Cloud seamlessly.
AWS Outposts have now made it’s way to Malaysia. The infrastructure is ready for Malaysia’s homegrown businesses to take advantage of. The introduction of AWS Outposts in Malaysia allows businesses to process compute workloads on premises. In fact, two major companies have already adopted the technology in their everyday business.
Starting on the 25th of June 2020, AWS customers in Malaysia are able to bring AWS’s compute, storage and graphics optimised instances on premises. This includes the recently announced AMD powered instance in addition to AWS’s Elastic Compute Cloud (EC2), Elastic Kubernetes Services (EKS), Relational Database Service (RDS) and more.
Artificial Intelligence and Machine Learning (AI and ML) technologies have come a long way since its first inception. Who would have thought that we would have a working model of actual computer-based assistants that can do things like manage our schedules? Who would have thought that we could even use these assistants to manage our homes? These things can even be used to diagnose cancer patients, something impossible without doctors even five years ago.
Amazon Web Services (AWS) is at the forefront of AI and ML technology. As one of the world’s largest technology innovators, they would naturally be at an advantage to feed enough data to the technology and accelerate their development. Because they are also one of the largest technology firms any man has ever seen, they are also at an advantage in placing AI and ML in places and applications we may never have imagined.
Linguistics is one segment that has benefitted greatly from technologies today. Linguistics, if you think about it is also one of the most complex things that us humans can create and understand. The context of it and interpretation can be affected by plenty of things too. Linguistics is affected by area, culture, community, heritage, and even lineage.
For example, there are differences between French spoken in France and Canada. There are even subtle differences between French spoken in France and Monaco, or even Switzerland. The most common language of all, English has differences even in spelling and context in Britain, the Americas, and even Australia. English spoken today is also a distinct form of the language that was spoken 50 years ago.
The progression of technology in linguistics have progressed through years and years of feeding all these data into it. That has allowed us to communicate with global communities with more ease than peeling an orange. AWS has taken it a little further than that though. They have gone beyond spoken or written languages. Through something called AWS DeepLens, they have developed translation algorithms to sign languages.
While that technology might sound like it is as simple as gesture controls, it is plenty more than that. Yes, it is technically gesture control and recognition. But it is way larger and more complex than just a solution for end-point devices. The trick is to teach the native algorithm to recognise all the available sign words and even alphabets. The AWS DeepLens Community projects so far has learnt to recognise most of the alphabets in the American Sign Language.
But technology also goes beyond just recognising alphabets to understanding proper words with the algorithm in Amazon Alexa. It is not just about communicating with your friends anymore. It is about using the platform as a home assistant tool, a customer service tool, a command center, and user defined PC experience that mimics voice control and command for us. Instead of using voice though, its all in the gestures.
The tool they use is called Amazon Transcribe. It works just like any transcribe apps you can find in the market. It supports up to 31 languages currently with more being added by time. It even supports ASL as a component to create text from sign language.
Simple communication is just the beginning for the technology though. AI and ML still has a long way to go even in the medical field. Just like the human race, the technology gets better everyday though. If you really think about it, the technology is not that new in the first place. We have embarked on the journey of having machine built and defined assistants since we started developing computers to help us with simple and complex mathematical problems.
It is just that simple mathematical problem solver has become something much bigger today. Who would have thought that we would let computers fly a commercial airplane? Who would have thought that cars can drive themselves today? Who would have thought that we could hire a private translator without spending any money or any time? You just have to look into your pocket.
*This article is contributed by Myles Hosford, Head of Security Architecture, ASEAN, AWS*
Cybersecurity professionals see some threat
actors or outside-parties as the enemy. However, challenging this mindset is
important; you can better protect your organization against outside-parties if
you understand how they think and operate. With this in mind, businesses around
the globe have turned to hackers to test security infrastructure and develop
stronger, more robust security practices.
Before integrating penetration testing
into your security policy, it is important to understand the different types of
hackers that exist. Each group has differing motivations, and you must be clear
on which of their skills can be used to your organization’s advantage.
Black hat
Photo by Luca Nardone from Pexels
Black hat hackers are cybercriminals
motivated by personal or financial gain. They range from teenage amateurs to
experienced individuals or teams with a specific remit. However, over recent
years, several high profile blackhat hackers have refocused on using their
cyber skills to protect organizations. An example is Kevin Mitnick aka Condor,
who was just sixteen years old when he gained access to a Department of Defense
computer. Following this and numerous
other hacks, Mitnick spent five and a half years in prison. Upon his release
set up his own company, Mitnick Security Consulting, which now runs penetration
tests for clients.
The issue of whether to work
with a previous black hat hacker is a contentious one. Some, including David Warburton, senior threat evangelist at F5 Networks,
believe that hiring ex-hackers is critical in staying ahead of the threat
landscape. However, others are concerned about allowing this group access to
corporate systems and customer data. The latter group should, however, consider
other approaches to working with hackers.
White hat
Photo by Reza Rostampisheh on Unsplash
Often referred to as ethical hackers,
white hat hackers are employed by organizations to look for vulnerabilities in
security defences. Despite using the same tactics as black hat hackers, this
group has permission from the organization making what they do entirely legal.
While they use their knowledge to find ways to break the defences, they then
work alongside security teams to fix issues before others discover them.
Many of the biggest organizations in
the world, including General Motors and Starbucks, are turning to white hat
hackers to help identify fault lines and proactively enhance security posture.
White hat hacking can offer an interesting and lucrative career path for people
with technical skills. Drawing attention to the important role white hat
hackers play can encourage more talented individuals to take a positive path
instead of becoming black hat hackers.
Nurturing
talent
There are many programmes in place to
find, encourage and support the next generation of white hat hackers. An
example, supported by AWS, is r00tz Asylum, a conference dedicated to teaching
young people how to become white-hats. Attendees learn how hackers operate and
how cybersecurity experts defend against hackers. The aim is to encourage
people with technical expertise to use it for good in their career. By equipping aspiring cybersecurity
professionals with knowledge and skills, they can bake security into
infrastructure, from the ground up. AWS’s support for r00tz is our chance to
give back to the next generation, providing young people who are interested in
security with a safe learning environment and access to mentors.
Building on
solid foundations
Photo by Ramin Khatibi on Unsplash
For those responsible for maintaining
customer trust and protecting data, an end to end approach to security is
critical. As we have seen, working with ethical hackers is a powerful way to
view security posture from a cyber-criminal’s perspective to identify and
tackle vulnerabilities. However, it’s also important to remember that security
needs to be baked in throughout an organization’s infrastructure. This is where
partnering with a cloud platform can be beneficial; the best of these are
developed to satisfy the needs of the most risk-sensitive organizations. Cloud
platforms also offer automated security services, which can proactively manage
security assessments, threat detection, and policy management. In so doing,
these platforms take on a lot of the heavy lifting for security professionals,
including ethical hackers.
*This article is contributed by Myles Hosford, Head of Security Architecture, ASEAN, AWS*
As the world
becomes more interconnected, opportunities for companies and individuals to
interact and transact across borders, time zones, and channels grow quickly. To
make sure that these transactions run smoothly, proactive management –
specifically to ensure the minimization of cost, lowering of risk, and the
elimination of inefficiencies – is needed.
Distributed
ledger technology (DLT) such as blockchain helps simplify transactions and
conduct efficient, secure interactions with multiple independent parties around
the globe. All without the need for a third-party intermediary. These
transactions can vary from sending anything from farm data, to banking and
contract transactions.
Use case: Empowering farmers to sell field data
transparently
Farmers collect
large volumes of data with each step in the planting and harvesting process.
Licensed data – data that qualifies as intellectual property of the farmer such
as which crops to plant or how many seedlings – can be anonymized, sold to
third parties and offer the agricultural industry with real-time insights on
farms across the world. However, farmers are unsure how to monetize this crop
data.
As farmers are
unsure how to monetize their crop data, Farmobile addresses these challenges through a
blockchain-based exchange, built on AWS. The solution empowers farmers to licence
data to approved buyers and includes account set up, creation, confirmation,
execution of the offer, and delivery of the digital asset. They can seamlessly
sell single-use licenses while keeping their farm’s identity completely
anonymous. However, farmers have full visibility into the identities of
potential data buyers, such as agronomists, equipment producers, and retailers,
and are free to decline offers.
Use Case: Boosting financial inclusivity
Another case
study for Blockchain technology is the financial sector in the Philippines.
Here, rural banks lack the resources of larger banking institutions, making it
nearly impossible for them to thrive or survive. This has left a large majority
of rural-based Filipinos with little or no banking access.
Photo by David McBee from Pexels
UnionBank,
a pioneer in its use of blockchain technology, joined forces with ConsenSys,
an AWS Partner , to build a blockchain solution that would resolve this issue.
The new, blockchain-based solution created a decentralized, cost-efficient, and
near real-time network, allowing for the execution of domestic payments without
relying on existing banking infrastructure and intermediaries.
The blockchain
solution introduced means that rural banks no longer have to shoulder the
burden of manually processing back-office transactions, freeing up staff to
serve more customers. As such, the technology not only increased banking access
and inclusivity but drove sustainable, future banking practices.
Use case: Limiting contract disputes in the oil and gas industry
Another example
comes from the oil and gas industry. Moving resources through the oil and gas
supply chain involves many stakeholders, including landowners, governments, oil
and gas company operators, surveyors, and financial institutions. One critical
step occurs between those mining the oil and royalty owners on whose land the
oil is mined. Checking royalty transaction payments is a lengthy, manual
process where stakeholders must agree to contract terms upfront. However, those
terms are often interpreted differently on either side, often leading to
disputes.
GuildOne,
believed companies needed more efficient, secure, and cost-effective ways to
execute a royalty contract transaction. They developed a solution through which
contract terms are capable of being replicated, and consensus agreed using
blockchain technology. By doing so, they mitigated the possibility of disputes
and eliminated a large chunk of the expense of contract administration.
To build its
royalty ledger and to meet the stringent privacy and security needs of its
stakeholders, GuildOne chose to use R3’s Corda — a blockchain platform built for
business and longevity — on AWS. Believing that the security capabilities
gained would be vital in enabling rapid adoption of the royalty ledger solution
in the oil and gas industry.
The future of blockchain technology solutions
Blockchain
solutions are transforming the ways companies and individuals do business,
locally and globally, by simplifying transactions and increasing their
efficiency. Those looking to take advantage of the technology should partner
with cloud providers capable of scaling up while delivering cybersecurity controls
and standards to protect from external attacks. With Amazon Managed Blockchain,
it eliminates the overhead required to create the network and automatically
scales to meet the demands of thousands of applications running millions of
transactions. Once a network is up and running, Managed Blockchain makes it
easy to manage and maintain the blockchain network
by managing its certificates and letting customers easily invite new members to
join the network.
5G is fast becoming the norm in the tech industry as more countries see the rollout of their own 5G networks. Back at AWS re:invent, Amazon Web Services made a significant announcement, in partnership with Verizon, which made it the first company to have 5G edge computing services. AWS Wavelength is a first of its kind service which brings AWS services closer to developers and, more importantly, end users.
AWS Wavelength will see an initial rollout to 69 sites in the United States. Verizon and AWS have already been hard at work developing and fine tuning the service in Chicago. There companies such as Bethesda Softworks and the National Football League have been developing on and utilising Wavelength to deliver new, enhanced experiences to their users. This includes interactive experiences which may be the next generation of gaming and sports.
AWS Wavelength essentially brings the company’s full suite of services to the 5G Edge. The technology allows telecommunications providers and AWS to deploy remote containers fitted with all of its services. This allows developers to develop with real time experience and with single digit millisecond latency. They will then be able deploy whole new experiences to end users.
The deployment of Wavelength marks a paradigm shift which empowers edge computing like never before. It allows real time compute with large data packets which will find its applications in things like autonomous vehicles and even Smart City management. The deployment of Amazon’s full suite of web services will allow developers to deploy unique experiences for end users which take advantage of the low latency and high data volume. This in addition to the exponential increase in the number of devices each base station is able to handle will enable IoT technologies as well. The availability of machine learning interfaces at the 5G edge enables developers to develop more complex applications with further ranging implications.
Source: AWS
Developers won’t need to familiarise themselves with a new interface; Wavelength comes with the same interface developers are used to in their AWS dashboard. In fact, they will simply need to activate instances of AWS services such as EC2, ECS and more which suit their needs at a Wavelength availability zone to use the service.
AWS Wavelength is available in an initial 69 availability zones in 25 AWS Regions. The initial rollout in the United States will be done in partnership with Verizon. However, the company has committed to new availability zone in South Korea (SK Telcom), Japan (KDDI) and Europe (Vodafone) in 2020.
