Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population.
Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
This is an at-a-glance guide to the key innovation trends in fleet management that leverage location data to improve last-mile efficiency and road safety. Presented to you by HERE, one of the world’s leading location platforms in 2019.
Discover the four big trends in fleet management being powered by location services. Trends to help you differentiate your solutions and enable transportation companies to overcome their logistical challenges and increase asset utilization. Discover what’s making the biggest impact, together with how, by integrating some of these trends into your solutions, you can position yourself as the service provider of choice in fleet and transportation management solutions. And find out how HERE is delivering features, from comprehensive mapping capabilities and real-time location data, to truck-specific attributes, to help you do just that.
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"Ransomware is one of the biggest nightmares facing IT today. Hackers are targeting organizations of all kinds with malware designed to encrypt crucial data—and hold it hostage until payment is made. This white paper reveals four highly effective measures for reducing your exposure to ransomware and keeping your apps and data accessible to authorized users—not hackers and their clients.
Download this white paper to learn how to:
- Shield users of web apps from infection and keep sensitive data off the endpoint
- Prevent email-born ransomware from compromising the endpoint
- Protect mobile devices against attack
- Ensure the rapid recovery of ransomware-encrypted data"
Published By: FICO EMEA
Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach.
For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
For financial business leaders and other c-level executives, moving away from unclear or ambiguous “improvements” to quantifiable measurements is crucial to the overall organization. Hard, meaningful data substantiates the execution of strategic, long-term business decisions. As technology is rapidly changing, executives can be challenged to find the right systems that drive business performance, provide competitive advantages, and increase the bottom line.
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
Just like your business, technology never stops advancing. Each year, there are new ways that technology can automate processes, lower costs, and enhance customer and employee satisfaction - all with the goal of increasing revenue! And while it can be difficult to change how your business works, leaving old methods behind and embracing new technology can help lead your business to more success and growth.
The technology landscape in the financial services sector is vast, ranging from cutting-edge to mission-critical, each having an impact on the industry as a whole. Customer-facing services and back-end operations alike are seeing real benefits from innovation, including greater efficiencies and higher levels of customer satisfaction.
The rate at which technology is evolving is increasing almost exponentially. In the business sector, hardware has given way to software-defined everything, while many on-premises technologies are now offered as a service. Much of the advances in technology over the last few years have been the direct result of the growing ubiquity of the cloud and faster connectivity speeds, both of which have enabled companies to adopt digital transformation technologies to help them work smarter and more efficiently.
Published By: PayScale
Published Date: Jun 03, 2016
Employee compensation is the biggest line item for most businesses and spending it well is a priority for leaders in every organization. In PayScale’s “2016 Compensation Best Practices Report,” we heard from more than 7,000 business leaders about their pay practices and what they are adopting to improve business results.
Read our latest eBook, “What top Performing Companies Do Differently” to discover the tactics being utilized by high performing companies and what strategies you can implement in your organization.
Trends we’ll cover:
- Pay transparency
- Variable pay
- The rise of data
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Successful business in the 21st century is based on data: gathering it, managing it, leveraging it. The importance of data to create efficient and effective operations has grown exponentially in just a few years, tracking alongside the rapid proliferation of devices and the technological breakthroughs in networks and connectivity. Concepts like the Internet of Things (IoT) or Industry 4.0 have become as routine to EHS managers as duties related to employee health and safety.
However, while EHS managers may understand the essence of big data, putting those ideals into practice is a much harder task. The sheer amount of data generated and collected is the greatest barrier.
Want to learn more? Download our free paper today!
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.
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
Published By: HPE APAC
Published Date: Jun 16, 2017
The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility.
Read on to find out more.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Published By: Cisco EMEA
Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
Marketing as you know it will never be the same. There’s a fundamental shift in relationships between brands and customers—fueled by smartphones, social media, and today’s
always-on, always-connected mentality. Marketers have access
to more customer data (big data) than ever before. But the quantity of data only matters if you’re smart about using it—to power 1:1 customer journeys.
Businesses who have lived through the evolution of the digital age are well aware that we’ve
experienced a generational shift in technology. The rise of software as a service (SaaS),
cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies
have disrupted industries and changed customers’ expectations. In our always-on, buy
anything anywhere world, customers want their shopping experiences to be personalized,
dynamic, and convenient.
As a result, many businesses are trying to reinvent themselves. Success in a fast-paced
economy depends on continually adapting and innovating. Companies have to move quickly
to keep up; there’s no time for disjointed technologies and old systems that don’t serve the
customer-obsessed mentality needed to thrive in the digital age.
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem.
Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
Wie die meisten Unternehmen werden auch Sie vermutlich mit der Datenspeicherung zu kämpfen haben. In einer jährlichen Umfrage von Frost & Sullivan unter IT-Entscheidungsträgern wurde das Speicherwachstum als eine der größten Herausforderungen der letzten fünf Jahre für das Rechenzentrum genannt.2Da Unternehmen exponentiell mehr Daten als je zuvor sammeln, replizieren und speichern, ist schon der einfache Erwerb ausreichender Speicherkapazitäten ein Problem.
Hinzu kommt nicht zuletzt, dass Unternehmen von ihren gespeicherten Daten mehr erwarten. Daten werden mittlerweile als kostbares Firmenkapital und Möglichkeit gesehen, sich von den Wettbewerbern zu differenzieren: Sie sollen neue Geschäftsmodelle, neue Umsatzchancen, bessere Informationen, optimierte Betriebsabläufe und niedrigere Kosten bringen. Angesagte Trends wie das Internet der Dinge und Big Data-Analysen generieren so schnell neue Marktchancen, dass IT-Organisationen kaum noch Schritt halten können.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.