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By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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     BMC ASEAN
By: DataCore     Published Date: Apr 23, 2019
The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis. In this white paper, explore: • How the relative proportion of hot, warm, and cooler data changes over time • New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life • The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.
Tags : storage tiering, auto tiering, all-flash array, ssd, software defined storage, hyperconverged, data migration, storage migration
     DataCore
By: Citrix NetScaler     Published Date: May 06, 2013
The ability to observe, diagnose, and subsequently improve the performance of business-critical applications is essential to ensuring a positive user experience and maintaining the highest levels of employee productivity and customer satisfaction. The challenge of establishing an effective application visibility and control function is only growing, as trends such as mobility, virtualization, and cloud computing fundamentally alter datacenter and application architectures. With NetScaler Insight Center enterprises get: • Unparalleled application visibility and invaluable operational intelligence; • Increased operational efficiency, as troubleshooting and capacity planning efforts are greatly simplified; • An optimized user experience that drives greater employee productivity and customer satisfaction; • Increased assurance that governing SLAs will always be met; and, • Reduced total cost of ownership, based on having a low-cost, low-impact solution—particularly compared to traditional
Tags : application visibility, netscaler insight center, optimized user experience, low cost, citrix
     Citrix NetScaler
By: Cisco     Published Date: Nov 17, 2015
Gain Immediate Value from Your Connected Factory Architecture! Imagine if you could reconfigure your production line in days instead of weeks. Or if you could cut long search times for parts in half using factory wireless across a connected factory architecture. These are only a few of the reasons why leading manufacturers deploy Cisco’s Connected Factory Solution. Now you can try out these new technologies and capabilities on a small scale, with low financial risk in your own plant with the Cisco Connected Factory Starter Kit. Create a living lab and test out one or more specific use cases. Use it as a demo to get buy in from stakeholders. Or get one production line up and running immediately and roll out a more comprehensive deployment later on.
Tags : cisco, connected factory, starter kit, manufacturing process management, programmable logic controllers, plcs, wireless equipment connectivity, convergence
     Cisco
By: Amazon Web Services     Published Date: Sep 05, 2018
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
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     Amazon Web Services
By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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     Amazon Web Services
By: Burton Group     Published Date: Jul 07, 2008
Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
Tags : modeling, data modeling, data management, data mining, business intelligence, dba, database administration, burton group
     Burton Group
By: PitneyBowes     Published Date: Sep 29, 2010
Breakthroughs in relationship marketing are transforming the role of transaction mail-and those who manage it.
Tags : pitney bowes, mail, transpromo, openability, postal, customer data integration, production intelligence, marketing
     PitneyBowes
By: IBM US Smarter Buildings     Published Date: Dec 20, 2011
This demonstration shows how IBM Integrated Service Management Solutions provide the tools that help turn data into intelligence and provide smarter transportation and smarter energy for cities and buildings.
Tags : ibm, smart buildings, integrated service, solutions, tools, technology, software
     IBM US Smarter Buildings
By: IBM US Smarter Buildings     Published Date: Dec 20, 2011
This demonstration shows how IBM Integrated Service Management Solutions provide the tools that help turn data into intelligence and provide smarter transportation and smarter energy for cities and buildings.
Tags : ibm, smarter buildings, service management, solutions, technology, integrated service management, energy
     IBM US Smarter Buildings
By: Infosys Limited     Published Date: Aug 02, 2019
Cloud along with other technologies such as Big Data, Internet of Things, Artificial Intelligence and Blockchain have made it possible for enterprise to have bolder visions for the future. The new technologies motivate them to accelerate their digital transformation journey and deliver more rewarding experiences to clients.
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     Infosys Limited
By: CDW     Published Date: Jul 11, 2013
In government, Big Data presents both a challenge and an opportunity that will grow over time.
Tags : cdw, big data, electronic records, cloud, cloud services, social networks, smart sensors, business intelligence
     CDW
By: CDW     Published Date: Jul 11, 2013
5 Ways to Future-Proof Your Data Center for Big Data
Tags : cdw, cdw blog, big data, data center, business intelligence
     CDW
By: McAfee     Published Date: Feb 06, 2013
Gartner defines "big data analytics" as the practices and technology used to pursue emerging and divergent pattern detection as well as enhance the use of previously disconnected information assets.
Tags : big data analytics, gartner, big data, big security data, advanced targeted attacks, advanced persistent threats, atas, context aware security intelligence
     McAfee
By: McAfee     Published Date: Feb 06, 2013
Read about the top five issues McAfee customers face with security information and event management (SIEM) and see corresponding use cases and customer case studies.
Tags : big security data, siem, mcafee global threat intelligence, mcafee gti, mcafee risk advisor, security connected
     McAfee
By: McAfee     Published Date: Jul 24, 2013
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
Tags : siem, big security data, security information, advanced threats, security intelligence, security
     McAfee
By: McAfee     Published Date: Apr 16, 2014
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
Tags : siem, big security data, security information, advanced threats, security intelligence, security
     McAfee
By: McAfee     Published Date: Oct 28, 2014
Broad adoption of SIEM technology is being driven by the need to detect threats and breaches, as well as by compliance needs. Early breach discovery requires effective user activity, data access and application activity monitoring. Vendors are improving threat intelligence and security analytics. Read this report from leading analyst firm Gartner, to learn why they have placed McAfee as a Leader in the Magic Quadrant for Security Information and Event Management.
Tags : siem, mcafee enterprise security manager, gartner, magic quadrant, threat management, collect, store, forensics and regulatory compliance
     McAfee
By: Advizex     Published Date: Sep 25, 2013
The challenge of Big Data is more than a question of size; it’s about time to insight and action. With the exponential growth of unstructured data such as social media, video and the raw data generated by smartphones and other “intelligent” machines, businesses are buried under an avalanche of data that renders even best-effort analytics slow and sometimes unreliable. As many businesses are learning in this age of Big Data, it’s not just what you know, but when you know it and how much you trust it. Download this white paper and learn that with SAP HANA, companies can react intelligently at the speed of thought to capture new opportunities.
Tags : sap hana, sap, real time analytics, raw data, generation, analytics, big data, business intelligence
     Advizex
By: InfoSys     Published Date: Apr 08, 2013
Big Data: Too Much information, Too Little illumination; As enterprises go about their Big Data adoption journey, there are many pressing questions at hand. What are the Big Data capabilities they desire?
Tags : big data, business intelligence, analytics, data warehousing, infosys
     InfoSys
By: Dell     Published Date: Sep 12, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
Tags : data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
     Dell
By: Cisco     Published Date: Dec 21, 2016
Today’s corporate networks are more important to business objectives than ever before. Consequently, greater amounts of sensitive data traverse both wired and wireless networks. This plethora of valuable data in today's enterprise attracts an increasing number of hackers and malware applications. However, the inherent connected intelligence and distributed nature that makes the network a treasure trove for cybercriminals can also empower the network to be a proactive security tool. Through traffic visibility, and segmentation, today's enterprise network can prove itself to be a sensor and enforcer for security
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     Cisco
By: HP     Published Date: Jan 20, 2015
Big Data is an opportunity for CSPs to create the intelligence for operating networks more efficiently, to analyze the success of the services that telcos are offering, and to create a better personal experience for their customers. Learn how to leverage the Big Data opportunity.
Tags : big data, hp haven, scalable, secure data platform, ecosystem, security
     HP
By: HP     Published Date: Jan 20, 2015
HP HAVEn is the industry’s first comprehensive, scalable, open, and secure platform for Big Data. Enterprises are drowning in a sea of data and need a trusted partner to help them. HP HAVEn has two primary components: a platform and an ecosystem. Together, the platform and the ecosystem provide the capability to handle 100 percent of your enterprise data—structured, unstructured, and semi-structured—and securely derive actionable intelligence from that data in real-time.
Tags : big data, hp haven, scalable, secure data platform, ecosystem, security
     HP
By: HP     Published Date: Nov 05, 2014
Webinar: Supporting users is more complex than ever. But now there’s a simple way to apply data and deliver service that’s truly amazing. Watch and see how it’s done.
Tags : itsm, itil, saas help desk, itil service desk, itil service management, itil change management, itil problem management, hp service anywhere
     HP
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