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Published By: Forcepoint     Published Date: May 14, 2019
Security spending is expected to reach $120 billion by 2021, yet the amount of data loss events seems to be increasing. Legacy DLP solutions, which rely on traditional threat blocking policies, have been unable to evolve to address these threats. Organizations need to fundamentally rethink how they address cybersecurity for today’s modern threats. Watch this webcast to understand how taking a Risk-Adaptive approach enables security to fluctuate based on the threat environment. See how Dynamic Data Protection, an industry-first solution, uses human-centric behavior analytics to continuously determine the risk cyber identities pose, based on their actions.
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property. However, the threat-centric security approach, with its static policies forces decisions about cyber activity with no insight into the broader context. The result is a disproportionate number of flagged activities, overwhelming security teams who have no way to understand the ones most worthy of investigation. Read Rethinking Data Security with a Risk-Adaptive Approach to learn how a human-centric, risk-adaptive approach can help your organization be more proactive in order to: • Automate policy enforcement to deter data loss events • Reduce the number of security alerts • Cut down on incident investigation time
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Forcepoint
Published By: Infinidat EMEA     Published Date: May 14, 2019
Even after decades of industry and technology advancements, there still is no universal, integrated storage solution that can reduce risk, enable profitability, eliminate complexity and seamlessly integrate into the way businesses operate and manage data at scale? To reach these goals, there are capabilities that are required to achieve the optimum results at the lowest cost. These capabilities include availability, reliability, performance, density, manageability and application ecosystem integration? This paper outlines a better way to think about storing data at scale—solving these problems not only today, but well into the future?
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
2017 and 2018 were not easy years to be a CIO or CISO, and 2019 isn’t showing any signs of being easier. With so many career-ending-level data breaches in 2017 (e.g., Equifax, Uber, Yahoo, to name a few) and with the stronger regulatory requirements worldwide, CIOs/CISOs have a corporate responsibility to rethink their approach to data security. Regulatory compliance aside, companies have a responsibility to their customers and shareholders to protect data, and minimize its exposure not only to external attackers but also to employees. The most common method of data breach in 2017 was a phishing email sent to a company’s internal employees (See 2017 Data Breach Investigation Report), This makes employees unwillingly complicit in the data breach. Over 80% of successful cyberattacks have a critical human element that enabled them. The average employee who opens the innocent-looking attachment or link, is unintentionally jeopardizing a company’s data. While there is no 100% protection, th
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Infinidat EMEA
Published By: Lenovo UK     Published Date: May 13, 2019
It’s time to think bigger than incremental processing power and storage capacity upgrades. In 2019 IT modernisation offers much more, providing opportunities to closely align infrastructure with your most ambitious goals and build a future-facing foundation for success. Whatever your goals, this playbook gives you six versatile strategies that can help you plan a successful IT modernisation project, supported by examples from our industry-leading data centre portfolio.
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Lenovo UK
Published By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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Zaloni
Published By: Rubrik EMEA     Published Date: Apr 15, 2019
Backup and recovery needs a radical rethink. When today’s incumbent solutions were designed over a decade ago, IT environments were exploding, heterogeneity was increasing, and backup was the protection of last resort. The goal was to provide a low cost insurance policy for data, and to support this increasingly complex multi-tier, heterogeneous environment. The answer was to patch together backup and recovery solutions under a common vendor management framework and to minimize costs by moving data across the infrastructure or media.
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data, backup, recovery, virtualization, solutions, cloud, architectures
    
Rubrik EMEA
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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Oracle EMEA
Published By: Mimecast     Published Date: Mar 19, 2019
An Executive Strategy Guide Brought To You By The Cyber Resilience Think Tank Big budget or not, CISOs must make threat intelligence a priority and learn how to focus on only the data that matters—data that will help mitigate future risks. Though the technical definition of threat intelligence may change depending on who you ask, one factor remains constant: If threat intelligence isn’t part of your cyber resilience strategy in some capacity, you have a massive gap on your hands. And you may be blindsided by a phishing attack, malware incident or worse. Read this Cyber Resilience Think Tank executive strategy guide to develop a plan to architect a threat intelligence program in your organization.
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Mimecast
Published By: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: Workday     Published Date: Feb 01, 2019
"Are you spending more time aggregating and reconciling data than analyzing it? We uncovered the main roadblocks that are keeping finance and analytics apart, and they’ll have you rethinking the role of finance at your organization. View the infographic to get insight from more than 670 finance leaders on data intelligence."
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finance, workday, workforce technology, digital strategy
    
Workday
Published By: Fujitsu America, Inc.     Published Date: Jan 22, 2019
Crime overall is decreasing, but chaotic events such as extreme weather, domestic terrorist attacks, gun violence, and opioid-related emergencies are increasing, requiring highly coordinated response protocols. From raucous inner cities to sleepy suburbs, the scope and nature of these threats demand a new way of thinking and acting — a new, frictionless collaboration among agencies, departments, and vendor partners.1 Ideally, public safety professionals are already fitted with the latest smartphones, laptops, and tablets to receive targeted information about situations, individuals, and locations before they respond. However, when police, fire, EMT, first responders, and even utility companies can communicate and share data via secure channels, the severity and length of incidents may be lessened, and lives can be saved. This is the next phase of digital age public safety. As more public safety leaders get introduced to sophisticated surveillance and big data technologies, they realize
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Fujitsu America, Inc.
Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
    
Attunity
Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
Published By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history in terms of driving efficiency and resiliency to disruption. In the context of the challenges facing supply chains, both now and in the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to all data sources, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
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Group M_IBM Q119
Published By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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SAS
Published By: Emarsys     Published Date: Dec 20, 2018
As a modern marketer, you’re always looking for ways to improve your efficiency at work, especially in the form of software that makes some part of your job easier. You’ve likely heard a lot lately about AI in marketing and how it promises to do just that – and more, of course. In fact, it’s pretty hard to avoid the topic of AI and all the ways it is destined to change marketing as we know it. You may already know that companies who have adopted AI boast about the results: increased conversions, engagement, and a host of other metrics. With such decisive evidence, everybody must be aware of AI and clearly sees its business potential, right? Then you go to your Chief Marketing Officer to strike up an informal conversation where you can strategically recommend the technology, and it starts off great — your CMO is well aware of AI and what it could do for the business. You’re thinking, “What luck! I might not have to put up much of an argument.” Then your CMO says, “But you’re not a data
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Emarsys
Published By: MuleSoft     Published Date: Nov 27, 2018
Traditional insurers are no longer safe with insurtechs challenging incumbents to rethink their business and operating models. This mass disruption creates increased pressure on IT to deliver intrinsic business value, including new services, customer touchpoints, and experiences. Successful insurance transformation requires rethinking the traditional IT operating model to allow IT to focus on creating reusable assets that empower lines of business. Doing so increases IT’s delivery capacity, making businesses more agile. Read this whitepaper to learn: An overview of the challenges insurers are facing in the industry. How a new IT operating model – API-led connectivity – allows IT teams to unlock data from legacy systems and drive reuse across the enterprise. Strategies for using APIs to create a single view of the customer and build connected customer experiences.
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MuleSoft
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Most organizations are in the midst of some form of digital transformation (DX), transforming how they bring products and services to the market—and ultimately deliver value to their customers. But DX initiatives also bring complexity for the network operations team. With business-critical services distributed across multiple clouds, this leads to potential performance issues, especially at branch locations. Given these realities, it is no wonder that software-defined wide-area network (SD-WAN) technology is rapidly going mainstream. Unfortunately, SD-WAN is an example of the paradox of DX: transformative technology can potentially move the business to the next level, but the expanded attack surface it creates can expose the organization to significant risk. That is why an SD-WAN deployment, like every other DX effort, should be accompanied by a security transformation (SX) that rethinks outdated principles, broadens protection beyond the data center, and integrates the security archit
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Fortinet EMEA
Published By: Lenovo     Published Date: Nov 01, 2018
Digital transformation is putting data at the core of business processes, necessitating a rethink of IT infrastructure. This new business environment is driving new requirements for performance, scalability, availability, and flexibility in data center storage. In this IDC white paper, learn about evolving enterprise infrastructure requirements and learn more about the Lenovo and NetApp strategic relationship, including IDC's take on the value this delivers to both customers and the vendors themselves.
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Lenovo
Published By: Lenovo and Intel®     Published Date: Oct 31, 2018
Digital transformation is putting data at the core of business processes, necessitating a rethink of IT infrastructure. This new business environment is driving new requirements for performance, scalability, availability, and flexibility in data center storage. In this IDC white paper, learn about evolving enterprise infrastructure requirements and learn more about the Lenovo and NetApp strategic relationship, including IDC's take on the value this delivers to both customers and the vendors themselves.
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Lenovo and Intel®
Published By: Fujitsu America, Inc.     Published Date: Oct 22, 2018
Crime overall is decreasing, but chaotic events such as extreme weather, domestic terrorist attacks, gun violence, and opioid-related emergencies are increasing, requiring highly coordinated response protocols. From raucous inner cities to sleepy suburbs, the scope and nature of these threats demand a new way of thinking and acting– a new, frictionless collaboration among agencies, departments, and vendor partners. This is the next phase of digital age public safety. As more public safety leaders get introduced to sophisticated surveillance and big data technologies, they realize the benefits are within reach. Find out how by downloading today! Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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smart mobility, technology solutions, integrated management
    
Fujitsu America, Inc.
Published By: Pure Storage     Published Date: Oct 09, 2018
Digital technology is so intrinsic to our personal lives that we barely think about the fitness trackers and smartphones that are as much a part of us as the clothing we wear. For organizations, the shift to digital is more disruptive and the stakes far higher. Digital transformation has been high on the executive agenda for a few years and, for many, harnessing data has become a significant force for value and revenue creation. Agility has emerged as an organizational superpower as businesses grapple with change and uncertainty in their own customer bases and in the global political and economic landscape. IT has been thrust into the spotlight as the unwitting hero of the story – tasked with delivering on the digital vision, implementing all manner of applications and building firm infrastructure foundations to support the latest digital initiatives. In an increasingly on-demand world, it is this final point that often gets overlooked in the rush for the next shiny new technologies. E
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Pure Storage
Published By: Herman Miller     Published Date: Oct 04, 2018
As workplace researcher Robert Propst observed in A Facility Based on Change, “Not only must we accept change, we must adjust to accelerated growth.” If your office doesn’t reflect who you are now and who you hope to become in the future, accelerated growth can feel especially painful. Whoever you are, you can’t escape change. But we think that workplaces can actually be catalysts for growth without all the growing pains. Whether you’re trying to spark innovative thinking or encourage people to work together more efficiently, you can reach your goals with a workplace tailored to your unique needs. We’ve been capturing workplace data and transforming it into growth-enhancing insight since Propst began studying the connections between people, work, and the workplace nearly 50 years ago. This legacy of workplace research—in combination with the research we do today—informs Living Office®, a research-based placemaking approach that ignites powerful workplace transformations. With Living Of
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Herman Miller
Published By: SAP     Published Date: Sep 28, 2018
The consumer products industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined
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customer experience & engagement, digital transformation, sap
    
SAP
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