Wholly relevant and personalized customer service is no longer an optional preference, so much as an inevitable reality. Through the right data management technology, marketers can pave the way for their customers to reach the right ticket for their chosen journey, through the channels they prefer, in a way which means something to them in that particular moment.
Airlines don’t have to make use of beacon technology and IoT to begin uplifting their outreach, but should choose a solution which is ready as soon as they are, to plug into, embrace and deliver actions with a shifting landscape of consumer touchpoints.
Die Application Economy hat Unternehmen zu Umstellungen gezwungen. Unternehmen machen ausgewählte Daten und Anwendungen für Entwickler, Partner, Mobile Devices, die Cloud und das Internet of Things (IoT) zugänglich, um neue Wachstumschancen wahrzunehmen. Im Zuge dieser Umstellungen zeigte sich, dass Legacy-Daten in der Application Economy von Nutzen sein können, und zwar in einem solchen Ausmaß, dass sich durch die neue Art der Verwendung dieser Daten neue Umsatzchancen ergeben.
Data center requirements are shifting as the business environment evolves to leverage new technologies. Organizations are turning to multicloud environments comprising a mix of private cloud, public cloud, and on-premise infrastructure to best address their unique needs. Understandably, this shift is putting a renewed emphasis on security, automation, orchestration, and agility. IT leaders are responding by building and deploying multicloud data center networks that leverage automation and software-defined networks (SDN) as a cost effective means of providing dynamic network control.
Of course, while many organizations are recognizing the need for a data center upgrade, not all have the same drivers. All, however, need to make a business case for the investment. Here are four common inflection points that can help you to justify the need for data center upgrades that support business goals.
Published By: Riverbed
Published Date: Feb 15, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
Today’s biotechnology and military companies have high expectations for software performance of electromechanical devices. However, attempting to satisfy all customer demands and features at the outset can lead to costly challenges and inefficiencies down the road. This white paper explains five benefits of taking a phased approach to the development, as well as what to look for when vetting potential contract manufacturing partners.
ASG's Business Service PortfolioT (BSPT) Virtualization Management provides comprehensive oversight, inspections, discoveries, warnings, diagnostics, and reporting for the critical technology and administrative disciplines involved in virtual workload management. This is all done in parallel with physical systems management.
Despite the business-transforming upsides of data from the Internet of things (IoT), there’s a downside: security. Porous networks and lax users offer tantalizing access for hackers. Although most security spending is at the enterprise level, a shift is needed to secure IoT applications and provide improved governance and accountability. Electronics companies must create secure environments that safely collect, consume, share and store data on their networks. But they also must go beyond devices and consumers to close holes to factory, ecosystem and partner networks.
The Internet of Things enables retailers to do three basics better
1) Sensing who customers are and what they’re doing,
2) Understanding customer behavior and preferences, and
3)Acting on that insight to create a more engaging customer
- There are high-potential IoT applications in supply chain, in
“smart store” operations, and especially in providing an engaging
experience to the “connected customer.” IoT data can anticipate
where the customer is headed and how to meet her there.
- Much of the IoT ground, in both data management and analytics,
may be unfamiliar. Retailers and their IT organizations have to be
realistic about the technological challenges, their own capabilities,
and where they need assistance.
- To differentiate through IoT, focus on the analytics. Devices and
their data — and even their platforms — are commodities.
Advantage goes to the retailer who does the most with the data to
engage the connected customer.
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain.
Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
In April 2016, SAP commissioned Forrester Consulting to evaluate how enterprises are taking advantage of IoT, how IoT fits into broader digital transformation initiatives, and the role of immediate insights in realizing the benefits that IoT can deliver.
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
Enterprise IT is changing. It’s evolving from a rigid, static, manually configured and managed architecture to one where connectivity is dynamic, application services are on demand, and processes are automated. Enterprise networking is evolving along with IT. This has been evident in the past several years in initiatives such as enterprise digitization and as-a-service consumption models, as well as their enablers, including BYOD, IoT and cloud. Add to this, all of the security implications of each initiative. The evolution of IT requires a network that evolves along with IT’s changing requirements – a network that continuously adapts to ever-changing security threats, and evolving digitization, mobility, IoT and cloud requirements.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
Security is a looming issue for organizations. The threat landscape is increasing, and attacks are becoming more sophisticated. Emerging technologies like IoT, mobility, and hybrid IT environments now open new organization opportunity, but they also introduce new risk. Protecting servers at the software level is no longer enough. Organizations need to reach down into the physical system level to stay ahead of threats. With today’s increasing regulatory landscape, compliance is more critical for both increasing security and reducing the cost of compliance failures. With these pieces being so critical, it is important to bring new levels of hardware protection and drive security all the way down to the supply chain level. Hewlett Packard Enterprise (HPE) has a strategy to deliver this through its unique server firmware protection, detection, and recovery capabilities, as well as its HPE Security Assurance.
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
IoT describes a system where items in the physical world, and sensors within or attached to these items, are connected to the Internet via wireless and wired Internet connections. These sensors can use various types of local area connections such as RFID, NFC, Wi-Fi, Bluetooth, and Zigbee. Sensors can also have wide area connectivity such as GSM, GPRS, 3G, and LTE.