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Artikels

De behoefte aan datacenters neemt alleen maar toe

Data zijn de nieuwe olie. Applicaties moeten altijd en overal beschikbaar zijn. Jazeker, daarover is iedereen het eens. Maar hoe ziet de optimale oplossing er achter de schermen uit? Gaat de voorkeur naar on-premise infrastructuur? Een lokale datacenterpartner? Kan alles in de cloud? Of haalt het hybride model de bovenhand? Data News bracht vijf specialisten samen voor een gesprek over beschikbaarheid, connectiviteit, kosten en compliance.

“Het klopt dat bedrijven hun infrastructuur niet langer compleet in eigen beheer willen houden”, zegt Laurens van Reijen, managing director bij LCL. “Waarom dan niet naar een datacenter trekken, als alternatief voor de servers in de eigen bezemkast? Wij sluiten de weg naar de publieke cloud bovendien niet uit. We tekenden onlangs een proof of concept uit waarbij de klant zijn rekenkracht afneemt via Microsoft Azure, maar de data opslaat in een datacenter van LCL.”

20-12-2018 -

Artikels

Securitas: “Wij staan aan de kant van onze klant”

Securitas staat vooral bekend voor haar permanente bewaking maar de marktleider in beveiliging beperkt zich niet tot louter fysieke veiligheid. Ook op de digitale markt is het bedrijf actief, zegt directeur ICT Solutions Wim Bisschops: “Data zijn de belangrijkste asset van bedrijven en moeten altijd en overal veilig raadpleegbaar zijn. Wij helpen onze klanten bij hun digitale transformatie.” In die context sloot het bedrijf een langetermijnraamcontract voor overheden af met VITO, de Vlaamse Instelling voor Technologisch Onderzoek.

Wat houdt het raamcontract met VITO juist in?
Wim Bisschops: “Het contract omvat allerlei ICT-oplossingen. Het is een license to sell: Securitas creëert de mogelijkheid om op eenvoudige en flexibele manier hardware, software en diensten aan te kopen conform de wet op de overheidsopdrachten. Zowel op Vlaams als op nationaal niveau maken heel wat afnemers gebruik van het contract.”

lees het volledige artikel van datanews

20-12-2018 - Securitas

Artikels

Oblivion Cloud Control Migrates ZuidZorg's Healthcare Applications

About ZuidZorg

ZuidZorg is a Dutch healthcare company that provides home-centered healthcare services for seniors across the Netherlands.

Helping a Healthcare Organization Overcome Performance Challenges

For more than five years, Oblivion Cloud Control has helped enterprises across Europe move critical business applications to the Amazon Web Services (AWS) Cloud. Because of its success working with AWS, Oblivion Cloud Control has become a Premier Consulting Partner and a Public Sector Partner in the AWS Partner Network (APN). “We chose to partner with AWS because of its mature ecosystem and speed of innovation as well as the reliability of its services,” says Jeroen Jacobs, project manager and cloud consultant for Oblivion Cloud Control. “By partnering with AWS, we can confidently help our customers adopt cloud technology and do business more cost-effectively.”

Application Issues Impact Patient Care

Increasingly, the company’s public sector customers, including healthcare organizations, are seeking more flexibility to meet employee demands. For example, ZuidZorg needed to give nurses and other workers more flexible and better-performing tools. “Our application infrastructure was based in two data centers that had aging hardware,” says Dionysis Linardatos, IT manager at ZuidZorg. “As a result, we had performance problems with both software and hardware. Applications weren’t reliable and that created problems for nurses. For instance, when nurses took online video training, the video was very slow to load. Nurses also had challenges quickly opening the healthcare applications they depend on every day, which meant they could not spend as much time with patients.”

ZuidZorg developed a plan to move its collocated servers to AWS, implement a universal cloud identity management tool, replace laptops, eliminate its desktop virtualization software, and migrate to a cloud application suite. To implement its plan, ZuidZorg turned to Oblivion Cloud Control. “ZuidZorg had the vision to become completely cloud-based,” says Jacobs. “We knew we could help.”

Migrating Critical Applications to AWS in Under Three Minutes

After consulting closely with ZuidZorg on a cloud migration plan, Oblivion Cloud Control began to implement an AWS foundation and, following this implementation, the process of moving the customer’s key applications to AWS. Using AWS Server Migration Service(AWS SMS), Oblivion Cloud Control moved dozens of ZuidZorg applications—including healthcare business applications, employee databases, and a business intelligence system—to Amazon Elastic Compute Cloud (Amazon EC2) instances and Amazon Relational Database Service (Amazon RDS).

Oblivion Cloud Control also used its own Cloud Foundation service, which quickly enables the setup of secure, scalable, multi-account AWS environments. “Relying on our Cloud Foundation, including AWS Well-Architected Framework best practices, we quickly created a structure with separate logging, backup, audit, and production accounts for different ZuidZorg business units,” says Jacobs. Additionally, Oblivion Cloud Control took advantage of its AWS APN partnership status to integrate solutions from AWS APN partners Okta and Trend Micro. Specifically, Oblivion Cloud Control used Okta for Cloud Identity Management to give ZuidZorg secure access to applications and to arrange access to AWS. The company also took advantage of Trend Micro Deep Security for its antivirus capabilities. Oblivion Cloud Control relies on AWS Lambda to automatically integrate the ZuidZorg HR application with Okta for Cloud Identity Management. The overall migration from the ZuidZorg data centers to AWS took less than three months, which was faster than ZuidZorg expected.

Enabling Easy Application Access

In the migration’s final phase, Oblivion Cloud Control helped ZuidZorg become fully web-enabled by implementing the Amazon AppStream 2.0 managed application streaming service and Amazon WorkSpaces, a secure cloud desktop service. Through these two solutions, ZuidZorg can easily provision Windows client-based applications to mobile employees. As a result, nurses and other workers can quickly access training videos and critical healthcare applications.

Improving the Patient Experience through Better Performance

With its new cloud solution, ZuidZorg is empowering its employees to spend more time with patients. “Our entire application environment is much more robust and performs better now that it is based in the AWS Cloud instead of in a data center,” Linardatos states. “Everything is more reliable, which means nurses are not frustrated by application performance problems. Because they can access healthcare applications faster on AWS, our nurses will spend more of their time at a patient’s bedside delivering better care.”

Cutting Operational Costs by 50 Percent

ZuidZorg simplified its overall environment by migrating to AWS, changing laptops, eliminating virtualization software, and moving to a new collaboration suite. With these changes, ZuidZorg is saving money. “We are saving more than 50 percent on operational costs because we have eliminated complexity,” says Linardatos. “The aim of this project was to become a fully web-based healthcare organization, and we have achieved that with the help of Oblivion Cloud Control and AWS.”

As it continues to assist customers in their cloud migration journeys, Oblivion Cloud Control plans to take advantage of new AWS services as they become available. “Knowledge is one of the biggest benefits we get from our AWS APN partnership,” says Jacobs. “We are constantly learning more about new technologies and new AWS services, and this will help us accelerate our business.”

19-12-2018 - Amazon

Artikels

AWS Partner Story: VDAB & Radix.ai

About VDAB

VDAB, a public employment service (PES), helps residents of Flanders (a region in Belgium) find jobs or take vocational training.

Using Machine Learning to Connect Job Seekers with Jobs

The Radix.ai team connected with VDAB through their Innovation Lab, an internal team focused on innovative technologies and ideas. The team uses proof-of-concept (POC) projects to validate which innovations support the overall strategy of VDAB.

“The Innovation Lab team approached us with two questions,” explains Davio Larnout, cofounder and business lead at Radix.ai. “First, they asked how they could use machine learning to create value from their data. Then they wondered how to translate that in a way that would impact the strategic goals of the PES. We realized the data contained in their CVs and job postings would make a great starting point to help them achieve their mission of connecting people with jobs.” 

“A core function of VDAB is matching job seekers to vacancies. We’re always looking for better ways to make matches for our users,” says Michael De Blauwe, project manager at the VDAB Innovation Lab.

“VDAB’s original job-matching tool is rules-based, which requires one-to-one matches for a successful search,” says Larnout. That means if a posting states a requirement, such as a driver’s license or specific software experience, then a match occurs only if the job seeker’s CV contains the words and phrases used in the job description. Rules-based models find it difficult to process natural language, whereas a deep learning solution captures nuance and accounts for relationships between certain phrases or user preferences. "The hosting service for the BNA website was becoming increasingly problematic," says Huda Ahmed Mohsen, chief of IT for MIA. Problems with the site's availability, performance, and security were becoming more frequent even as BNA was working to implement a much-needed redesign of both the website and its back-end publishing workflows.

How a Deep Learning Model Learns How the Job Market Evolves

Radix.ai applied machine learning to VDAB data to provide better-targeted matches for its users. Deep learning, a subset of machine learning, enables machines to mimic human behavior. “Deep learning requires a lot of computing power,” says Larnout. “We use Amazon Web Services to provide that power in the most flexible way.” Radix.ai, an AWS Partner Network (APN) Standard Consulting Partner, relies on Amazon Elastic Compute Cloud (Amazon EC2) to generate compute capacity in the cloud whenever its clients need it. The company uses Amazon CloudWatch to gain a unified view of its AWS resources and services.

There was a sense of urgency with the VDAB project, which was internally named JobNet. Radix.ai and the Innovation Lab team shared a prototype of the service with VDAB’s director. She was impressed with the results and asked that the technology be put in production within six months.

“Deploying our technology required access to on-demand computing power and flexibility to spin up different machines and services. These abilities allow regular experimentation and learning by the algorithm. The most convenient way to ensure that was through the AWS Cloud,” says Larnout.

To train Radix.ai’s deep learning model, VDAB regularly uploads new vacancies and CVs to the engine via Amazon Simple Storage Service (Amazon S3), which acts as a bridge with clients, where they can drop data. VDAB automatically loads content in an Amazon S3 bucket and Radix.ai picks it up to process it further using Amazon Simple Queue Service (Amazon SQS). With each new data set, the engine learns how the job market evolves, noting changes in job demand and how trends shift over time.

The solution also learns how jobs are spoken of and what the changing interplay of words means. For example, the job of a data scientist is relatively new. Related to that role are the jobs of machine learning engineer, data analyst, and even AI architect. “The system we created learns the meaning of those words, those new titles, from the data alone. No one has to manually feed in that information,” says Larnout.

Radix.ai Helps VDAB Meet Belgians' Unique Needs

Radix.ai’s deep learning model continues to improve matching quality that surpasses the rules-based model. Rather than relying on one-to-one matching, search results are now more targeted. Based on word relationships and the interests and behavior of the users, job matches align more closely to the aptitudes, talents, and preferences of the job seekers.

“The data from our systems reveals these relationships, creating a matching solution that is completely data-driven, which is one of the goals of the Innovation Lab,” says Eric Klewais, analytics manager for VDAB Innovation Lab.

Another benefit of Radix.ai’s deep learning model is its ability to operate in multiple languages. Inhabitants of Flanders primarily speak Dutch, but Belgium is a multilingual country that counts Dutch, French, and German as official languages. In addition, many residents and their employers speak English. This makes the technology appealing to other European public employment services that serve multilingual job seekers and employers.

The success of the JobNet launch has prompted more use cases that VDAB and Radix.ai want to explore. For example, an employer may receive notice from an employee that she plans to leave her job. This employee performed well in her job and the employer would like to replace her with someone with similar skills and abilities. The deep learning model could send similar matches to the employer, revealing job seekers that would make a good match for the open position.

“This model learns how people view jobs and better defines who matches specific job listings. We have open vacancies that have been difficult to fill for a variety of reasons. This deep learning tool helps us bridge that gap,” says De Blauwe.

VDAB has hosted PES leaders from multiple countries to share its success and allowed Radix.ai to demonstrate the project. Understanding the value of partnership, Radix.ai joined the AWS Public Sector Partner Program and is exploring the use of Amazon SageMaker as a tool to build, train, and deploy machine learning models at scale. Supported by the computing power of the AWS Cloud, the reach of the APN, and the success of JobNet, Radix.ai believes other European public employment services can benefit from this tool, just as VDAB has.

19-12-2018 - Amazon

Artikels

re:Invent 2018 Keynote: Andy Jassy

Andy Jassy, CEO of Amazon Web Services, delivers his AWS re:Invent 2018 keynote, featuring the latest AWS news and announcements.

Top Takeaways from the AWS Public Sector Breakfast at re:Invent

read about top takeaways

Register to Innovate today to access to all content from re:Invent 2018

Welcome to AWS Innovate – re:Invent Recap Edition 2018. This online conference is designed for executives, IT professionals, and anyone looking to leverage the AWS Cloud to build and transform their businesses.

Whether you are new to the cloud or an experienced user, you will learn something new at AWS Innovate. This free online conference is designed to inspire and educate you about AWS services and help you develop the skills to design, deploy, and operate infrastructure and applications.

Each November, AWS hosts re:Invent, our global cloud computing conference featuring Keynotes, Product and Service Announcements, a Partner Expo Hall, Breakout Sessions, Chalk Talks, Workshops, Builders Sessions, Training and Certification, and Hackathons that cover AWS core topics and embrace the emerging technologies we are developing.

This special Innovate edition brings you a recap of the event, breakout sessions, launches, AWS insights, live Q&A access to AWS experts, and more.

19-12-2018 - Amazon

Artikels

NxtPort: een mooi voorbeeld van deeleconomie bij de Haven van Antwerpen

 

Dankzij het digitale dataplatform NxtPort wordt de Antwerpse haven een aantrekkingspool voor technologische ontwikkeling op het snijvlak van industrie, logistiek en transport. De initiatiefnemers noemen het een wereldprimeur.

Een mooi voorbeeld van de nieuwe ‘deeleconomie’

Het gloednieuwe dataplatform zal gegevens uit diverse geledingen van de logistieke ketting uit de haven verzamelen. De nieuwe technologieën maken het mogelijk om op grote schaal gegevens verwerken en ter beschikking te stellen van de spelers op het terrein die ze nodig hebben. Nu gaat er nog ontzettend veel tijd en energie verloren omdat de verschillende bedrijven in de haven elkaars gegevens niet kunnen raadplegen omdat ze op verschillende digitale platformen werken. Veel wordt zelfs nog op papier afgehandeld.
 

Wanneer bv. een schip in de haven aankomt met ettelijke duizenden containers, weet de stouwer die ze lost niet hoe ze worden opgehaald: per truck, per spoor op per binnenschip. Indien wel zou hij de containers die op een later tijdstip per trein vertrekken elders op zijn terminal kunnen plaatsen dan een container die binnen twaalf uur met een truck vertrekt. Nu moet hij zijn containers soms tot vier keer herpositioneren omdat hij niet weet welke container wanneer door wie afgehaald zal worden. Daarnaast zijn de partijen die containers komen afhalen vaak pas heel laat of niet op de hoogte van het feit dat een container al dan niet aanwezig en vrijgegeven is. Verschillende partijen (douane, scheepagent, terminal) geven elk hun eigen groen licht voor de container pick-up via hun eigen (al dan niet digitale) kanalen. Bundeling van deze groene lichten in een centraal data platform kan zorgen voor een snellere doorstoom van de containers naar hun bestemming.  Aan de terminals kampen de truckers en binnenvaart operators soms met enorme wachttijden omdat de informatie niet goed doorstroomt.

In de nautische keten gaan jaarlijks duizenden uren verloren aan wachttijd omdat er geen goede informatie-uitwisseling is tussen de verschillende partijen die nodig zijn om een schip de haven van Antwerpen binnen te brengen. Centrale planning en afstemming tussen de sluizen, rivierloodsen, dokloodsen, sleepboten, etc. kan het aanlopen van Antwerpen nog aantrekkelijker maken voor rederijen.

Het is de bedoeling dat op termijn alle spelers in de supply chain hun logistieke gegevens in de superdatabank stoppen. Het is een open en neutraal systeem, gericht op de uitwisseling van data. De data die verzameld is zal beschikbaar zijn voor alle partijen in de logistieke ketting, rederijen, expediteurs, terminals, verschepers, loodsen, douane… etc, maar onder strikte toegangscontrole van diegene die de data aangeleverd heeft.  De bedoeling is dat externe bedrijven applicaties en apps ontwikkelen die de data van NxtPort beschikbaar maken voor hun gebruikers. Iedereen levert vrijwillig data aan, iedereen kan nieuwe toepassingen ontwikkelen en iedereen kan gebruik maken van de gecommercialiseerde of open oplossingen die gebouwd zijn boven op de data services van NxtPort.

Hoe heeft BDO Crossroad hierbij geholpen?

  • BDO Crossroad heeft het initiële marktonderzoek gedaan voor het initiatief en een eerste technische aanzet.
  • Voor de selectie van de platform technologie en leveranciers adviseerde BDO Crossroad de Raad van Bestuur van NxtPort.
    • Een IT Steerco samengesteld uit de initiatiefnemende bedrijven van NxtPort (Katoennatie, MSC, DP World, BASF en PSA) werd geïnstalleerd net zoals een juristenkantoor.
    • De planning en het budget werden opgemaakt.
    • De partners werden in kaart gebracht op basis van hun technische en financiële draagkracht, hun imago en reputatie in de markt.
  • Na het selectieproces heeft BDO Crossroad samen met de finalist het wettelijke en budgettaire overleg gefaciliteerd.
  • Een nieuwe organisatie werd gevormd rond de CEO, Daniël Lievens. BDO Crossroad is in het eerste jaar van NxtPort als bedrijf aan boord gebleven ter ondersteuning van de functionele uitwerking van de ‘use cases’ met de ‘community’ en om mee de architectuur van het technische platform vorm te geven.

 

De eerste toepassingen op het platform zijn beschikbaar sedert 2017, en de volledige portfolio aan data services kan gevonden worden op de NxtPort marketplace: https://www.nxtport.eu/en/market/our-marketplace/marketplace#

Belangrijke use cases zijn onder meer:

  • ‘next mode of transport’ van containers melden aan de terminal
  • Groene lichten voor container pickup
  • Digitaal hergebruik van de manifestgegevens van import containers
  • ‘Vessel stay’ informatie
  • ‘Secure’ container pickup process

 

Het pragmatisme, de ‘hands-on’ benadering en voeten-op-de-grond-mentaliteit, liggen aan de basis van de samenwerking. De diepe kennis van de IT-materie en technische kennis waren eveneens uitermate belangrijk voor het project. Het unieke samenwerkingsmodel en de frequente communicatie-initiatieven hebben geleid tot een succesvolle eerste fase. 

Daniël Lievens van NxtPort aan het woord 

"BDO Crossroad heeft ons van in het begin van het traject geholpen met de vormgeving van het concept tot de concrete implementatie. Ik apprecieer de unieke combinatie van hun sectorkennis enerzijds en anderzijds hun grondig begrip van de technologie en uiteraard ook hun flexibiliteit." 

19-12-2018 - BDO Digital

Artikels

How Cloud Services Can Help Optimize Public Transportation Systems in Cities

Transportation and traffic management are hot topics when city planners and administrations think about ways to make a city smarter and more livable. Recent statistics tell us that drivers in the U.S. spend an average of 42 hours per year in traffic in cities and lose $1,400 on gas, while idling. In Europe, cities like London and Paris show an average of 74 and 69 hours spent idling per year respectively. Researchers in England found adding an additional 20 minutes of commuting per day has the same negative effect on job satisfaction as receiving a 19% pay cut. These statistics and an increasing desire to be more environment friendly are reasons why city leaders are looking to tackle this problem.

Adaptive Traffic Flow Systems – dawn of real-time analytics, modeling and forecasting

The California Department of Transportation (Caltrans), in partnership with Partners for Advanced Transportation Technology (PATH) at the University of California, Berkeley, developed a project called Connected Corridors that seeks to reduce congestion and improve mobility, travel-time reliability, safety, and system efficiency in California’s most congested corridors. The project includes a Data Hub to consolidate real-time Internet of Things (IoT) sensor datasets; scalable, real-time traffic modeling and forecasting; an incident response Decision Support System informed by data and models; and coordinated, real-time control of signals, ramp meters, and detour signs.

A similar concept is being built by Louisville, Kentucky. By using machine learning, real-time traffic data, IoT infrastructure, and interconnected systems, a next-generation adaptive traffic-flow management system can sense detrimental systemic changes to the circulatory nature of traffic and automatically adjust city infrastructure to mitigate the impact. With such a large amount of data collected and analyzed, they needed a scalable and reliable platform for testing their applications and model. They went all-in on AWS to support data storage, analytics, and scaling for all of their testing environments.

Dev/Test Environments for Smart Cities

Testing and developing new models and applications are key enablers for developing a smart city. Technology is evolving rapidly. If planners focus on pre-packaged solutions that fail to adapt to changes in user requirements, it may hinder or slow down city administrators in meeting the objective of transforming their community into a smart city. The concept of ‘smart’ itself is relative in this context –  a city needs to be smarter than it was before.One way administrators can overcome this challenge is by adopting solutions and technologies that can support evolving demands.

Going back to the traffic management example, a common solution is to deploy traffic sensors on the ground to sense the traffic flow. After you collect enough data and understand traffic flow patterns, you may want to deploy additional functionality or machine learning models directly onto the sensor and extend its capabilities to meet real-time response needs.

AWS Greengrass lets you run local compute, messaging, data caching, sync, and machine learning (ML) inference capabilities for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambdafunctions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. If the connected IoT device/sensor you deployed to monitor traffic is AWS Greengrass compatible, then you can easily extend its capability over time with new Lambda functions or with new ML inference models.

With fast emerging concepts such as connected cars, cities have exciting new opportunities to address traffic challenges. A recent study suggests that a single connected car will send around 25GB of data per hour from its sensors. While most of this data may be sent to private users or vehicle manufacturers, in some contexts and scenarios, cities can derive benefits by leveraging this data, especially when the city owns and/or is responsible for a vehicle fleet.

For example, connected police cars or ambulances may send or receive data as they patrol the city and this data can be used to understand vehicle performance, maintenance needs, and operational readiness. Central Command Center and operational teams may get real-time insights and situational awareness based on data transmitted directly from the vehicle. This data can, in turn, be used to adjust operation of traffic lights in real-time, to reduce the time it takes for an ambulance or police car to reach their destination.

Storage services like Amazon S3 give customers the ability to store virtually an unlimited amount of data cost-effectively, while services like Amazon SageMaker make it easy to build, train, and deploy machine learning models at scale.

Using cloud services, administrators have the opportunity to deliver on the promise of making our cities smarter and more responsive, fulfilling the smart city promise: making lives of citizens more enjoyable and safer. To learn more about how other cities around the world are becoming smarter, increasingly connected, and more sustainable, visit the AWS Smart Cities site.

10-12-2018 - Amazon

Artikels

AWS for Smart, Connected and Sustainable Cities

Cloud technology will be the backbone infrastructure for more sustainable cities of the future, but you can start transforming your city today. AWS and our partner ecosystem can help you implement smart city solutions to support your goals around energy efficiency, air quality, intelligent transportation, public safety, public health, and other programs focused on improving quality of life for your citizens.

What makes a city smart? Your data and your vision! By leveraging the multiple data sources that you have today and integrating additional datasets, you can design modern programs and services that make a city smart. Through sensors, connectivity, and analytics, AWS can help you begin your transformation.

AWS offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. Customers can use these services to build agile, secure, and cost-effective solutions quickly. Customers also have the option to deploy solutions provided by our partners on top of AWS.

read more

07-12-2018 - Amazon

Artikels

Creating a Long-Term Smart Cities Vision with AWS

Cities worldwide are improving citizen services and economic and environmental outcomes through technology, while also seeking to create a vision of what a smart, connected, and sustainable city of the future will look like. While you can start building and experimenting today, it’s important to have a long-term vision and a set of principles to guide you in building cost-effective, adaptable, secure, and low-risk solutions during a time of rapid technological change.

Some starting points to consider include:

  • Cities collect an increasing amount of data. In order to integrate data with other sources, data sources should also be open and accessible.
  • Connected devices and IoT sensors are becoming more prevalent, powerful, and cheaper.
  • The rise of machine learning (ML) continues in a range of applications, both in the cloud and at the edge.

A smart city platform is made up of inputs, processes, and outputs. This approach highlights the centrality and importance of data, which can help you build the right solutions for the long and short term.

Inputs

City data is collected from a wide and growing array of sources. These can be legacy data sources, IoT sensors that transmit data securely and at scale to the cloud, or video and audio sources that can be analyzed at the edge using a trained machine learning model deployed with AWS Greengrass. People can also be sources of data via mobile apps and wearable devices. And open data portals, such as the Registry of Open Data on AWS, can also enrich your data.

Customers and partners can develop data ingestion capabilities using AWS services, like Amazon FreeRTOSAWS IoT CoreAWS GreengrassAmazon Kinesis, and Amazon Kinesis Video Streams. Starting with a small volume of data, they can then scale to cater to millions of devices and messages, only ever paying for what they use.

One customer example is the City of Newport in Wales, UK, who partnered with system integrator Pinacl Solutions and IoT solution provider Davra Networks to build an ingestion network for air quality, water, and waste Management IoT sensors. Another example is PetaBencana.id, which provides the citizens of Jakarta, Indonesia with real-time flood information collected using IoT water-level sensors and crowd-sourced data. And Miovision brings connected sensors to existing infrastructure and uses data to enable analytics that improve transport planning.

Process

Once you’ve ingested data in the cloud, you need to act on and store the data for later use. Amazon S3 is a highly reliable, secure, and scalable object store ideal for smart city solutions. Once data has moved to S3, customers can use services like AWS GlueAWS IAM, and AWS Lambda to build a data lake that can transform and enrich their raw data, making it available for analytics and other solutions.

Customers can build their own data lake and data management platform or engage with our smart cities partners like C3 IoT, Xaqt, and ThingLogix. For example, Kansas City, Missouri, turned to Xaqt to take all of the data being generated by disparate devices day and night, plus more than 4,200 existing datasets, and turn it into tangible outcomes.

Whichever path you choose, the acquisition, storage, and management of your city data will help support evidence-based decision-making and help you build data assets for public use and future innovation.

Outputs

A city’s data can support many use cases. With AWS, you can:

Find out more about building a scalable, secure, adaptable and future-proof smart city platform on AWS at AWS for Smart, Connected and Sustainable Cities and AWS Marketplace – Smart City Solutions.  And get ideas from the AWS City on a Cloud Innovation Challenge winners.

And listen to the “Using IoT for Smart Cities” podcast here.

04-12-2018 - Amazon

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