Maintaining a competitive edge today means building a Digital Enterprise capable of taking full advantage of social, mobile, web, cloud, “things,” (sensors and devices), and analytics technologies. Among the terms used to describe this business transition is “the API Economy,” an economy in which APIs are no longer just an IT concern, but the underpinnings of new revenue streams and new business models that are disrupting entire industries.
Read this paper to learn about:
New, modern applications being built for the enterprise
Application ecosystems and extending the value of your company in the API Economy
Two ways to integrate devices in the Internet of Things
The microservices approach to application development
The role of API management in the digital enterprise
Published By: Turbonomic
Published Date: Jul 05, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike.
Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model.
With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency?
In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden
If there’s one thing that stands out about central government, it’s the appetite for digital transformation. Whether delivering new customer-facing websites to drive better engagement with services or establishing a centre of excellence to accelerate the take-up of robotic process automation (RPA), UK government is embracing opportunities to modernise with new technologies.
But despite the great strides made in the last few years, the UK is slipping backwards in E-Government development terms – down from #1 in 2016 to #4 in 2018, according to the UN E-Government Survey 2018. Some argue this is due to the government having tackled the more straightforward digitisation opportunities and because it is now facing the bigger, more complex systems that need modernising. Our research shows that there are also wider challenges, including uncertainty around the impact of Brexit, budgetary pressures and emerging technologies, coming into play.
So what needs to happen to overcome our challenges
Published By: Cohesity
Published Date: Oct 02, 2018
Public cloud expansion will continue to see double digit growth over the next five years according to IDC. Making the public cloud interoperable with on-premises solutions needs to be part of your hybrid cloud strategy for secondary data workloads. Legacy solutions, however weren’t architected with the cloud in mind. They require use of cloud gateways and don’t scale well in the cloud. Cohesity integrates with Amazon Web Services, Microsoft Azure, and Google Cloud Platform to extend your on-premises data protection solution to these public cloud services. Our built-in cloud capabilities give you flexibility to use the cloud for multiple use cases. Download the solution brief for more details.
Under GDPR, we all have new obligations to improve the security and privacy of personal data at our organisations. With the new Amazon Web Services eBook, GDPR: The Basics, you’ll gain a fundamental understanding of this new EU regulation.
In this eBook, you will learn about:
• How to view GDPR as an opportunity, and how you can build on it
• Article 32 – a core part of the security principle
• Data subject rights
• Key players and responsibilities
• And much more
As customers demand and expect more of a digitized experience, the scale and volume of secure data that’s being transmitted across the network is increasing exponentially. At the same time, across the APAC region high digital connectivity, contrasted with low cybersecurity awareness, growing cross-border data transfers and weak regulations have made this data a global target.
The growth in the “as-a-service” nature of the cybercrime marketplace is also fueling an increase in the number of traditional crime groups and individuals drawn into cyber offending. New sources of vulnerability from mobile, BYOD, CYOD, web-services and IoT devices are further broadening the cyber threat landscape with ever-more sophisticated forms of malware and DDoS attacks.
Download the IDC Report to get some tips on how to stay protected against cybercrime.
Published By: Iterable
Published Date: Sep 07, 2018
Whether they want tickets for the next Lady Gaga concert, the World Series, the Indianapolis 500, or Hamilton, people are quickly discovering that SeatGeekis the place to find the best selection and great bargains.
This relative newcomer to the online ticket business has quickly grown to offer the largest inventory of live event tickets on the web, in addition offering differentiating services like best-bargain ratings and notifications when a fan’s favorite team or entertainer will be performing nearby.
Email and push have been the primary channels for interacting with customers. However, according to Ben Clark, Vice President of Customer Retention, the marketing team previously struggled to deliver consistent, relevant messaging across channels because their email and push tools ran on separate platforms.
The old tools were also cumbersome to use and offered limited functionality. Worse yet, they didn’t support the team’s AI driven, omni-channel marketing strategy, which includes rea
While the shift from disk to digital offers tremendous potential opportunities, it also presents a host
of new challenges for gaming companies. As the online channel grows increasingly complex and the pace
of innovation accelerates, many companies struggle to keep up. Not only are there websites and storefronts
to manage, but also real-time gaming servers, large software downloads, and live-streamed competitions and
events. Games are transforming from fixed, boxed products to dynamic, ongoing services – with frequently
updated content, in-game micro-transactions, virtual goods and social interactions. Mobile adds another
dimension to the trend, as consumers increasingly look to play on smart phones and tablets – or on multiple
screens across devices.
To successfully navigate this complex and changing landscape, gaming companies need an agile,
high- performance infrastructure that allows them to turn the Internet into a reliable and effective
online distribution channel. This requires f
The ways in which the Internet supports our everyday lives have become richer, more engaging, and more mobile. This innovation is driven by the visionaries, designers, developers, and managers of the web experiences that users consume every day. By exploring new ways to solve challenges and improve products and services that enrich our lives, developers and business owners have stretched the Internet to support use cases for which it was never designed. In order to succeed, modern web experiences must seem simple to end-users, even though most ultimately require complex design and technology to deliver.
The Cloud, once a radical idea in IT, is now mainstream. Whether it’s email, backup or file sharing, most consumers probably use a cloud service or two. Similarly, most IT professionals are familiar with cloud service providers such as Amazon, Google and Microsoft Azure, and many companies have moved at least some of their information technology processes into the cloud. In fact, the cloud has become so popular it’s easy to assume that running IT applications on-premises is not cost competitive with a cloud based service. In this report Evaluator Group will test the validity of that assumption with a TCO (Total Cost of Ownership) model analyzing a hyperconverged appliance solution from HPE and a comparable cloud service from Amazon Web Services (AWS).
Published By: LogMeIn
Published Date: Mar 19, 2015
Remote support technology, including remote control, desktop sharing, and web collaboration, is one of the most popular platforms used across TSIA service disciplines. Today’s remote support solutions offer much more than just remote control for PCs, their functional footprint is expanding to include support for more devices and richer analytics for trend analysis and supervisor dashboards. Remote support solutions are typically well regarded by users, consistently delivering one of the highest average satisfaction scores in TSIA’s annual Global Technology Survey. Service executives should acquaint themselves with the new features and capabilities being introduced by leading remote support platforms and find ways to leverage the capabilities beyond technical support. Field services, education services, professional services, and managed services are all increasing adoption of these tools to boost productivity and avoid on-site visits. Download this white paper to learn more.
Published By: MuleSoft
Published Date: Jan 16, 2018
To achieve efficiencies in today’s turbulent economic climate, government entities need to integrate legacy applications with modern systems and web services. Orchestration between multiple systems across various departments and municipalities is needed to deliver quality public services. At the same time, public sector agencies face aggressive timelines and budget constraints, changing constituent needs, and open source policies. Learn how utilizing a lightweight, standalone Enterprise Service Bus (ESB) enables government entities to meet these key challenges and deliver vital public goods while cutting costs.
Evalute important decisions:
Achieving efficiencies in today’s turbulent budgetary environment
Time to Delivery and Budget Constraints
Constituent Needs and Public Value
Open Source Policies & Initiatives
The Software Architecture for Government
Learn to deliver projects within tight schedules and fiscal constraints - download now.
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time.
AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance.
In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences.
Join this webinar to learn:
How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development.
How AWS supports BI solutions f
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time.
This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
AbeBooks, with Amazon Redshift, has been able to upgrade to a comprehensive data warehouse with the enlistment of Matillion ETL for Amazon Redshift. In this case study, we share AbeBooks’ data warehouse success story.
As a cloud-based business services suite, Microsoft® Office 365™ provides organizations with access to web, mobile and desktop versions of traditional Office software tools, cloud storage space for enterprise file sharing, and hosted services for communication and social. By making these services available across desktop, mobile, and web platforms, Microsoft is experiencing increased adoption from both consumers and businesses while expanding the possibilities for anytime-anywhere collaboration.
Enabling business value through the Mobile Web requires new thinking as well as a shift in technology. Putting “mobile first” and implementing services-based architectures are among the critical steps. The options are limited only to the imaginations of the designers but must be driven by the user’s context.
Published By: Dell EMC
Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their
only option, since many don’t have the capital or expertise to build and operate the IT systems their
businesses need. Existing companies with established data centers are also looking at public clouds, to
increase IT agility while limiting risk. The idea of building-out their production capacity while possibly
reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t
an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And
like most infrastructure decisions the question of cost is certainly a consideration.
In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with
a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged
appliance cluster and the cloud solution is Amazon Web Services (AWS).
One of the value propositions of an Internet of Things (IoT) strategy is the ability to provide insight that was previously invisible to the business. But before a business can develop a strategy for IoT, it needs a platform that meets the foundational principles of an IoT solution. Amazon Web Services (AWS) believes in some basic freedoms that are driving organizational and economic benefits of the cloud into businesses. These freedoms are why more than a million customers already use the AWS platform to support virtually any cloud workload. These freedoms are also why AWS is proving itself as the primary catalyst to any Internet of Things strategy across commercial, consumer, and industrial solutions.
This paper outlines core tenets that should be considered when developing an IoT strategy, the benefits of AWS in that strategy and how the AWS cloud platform can be the critical component supporting those core tenets.
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances.
Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit.
Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.