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Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Alert Logic     Published Date: May 23, 2019
Organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments. As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about security of data, systems, and services in the cloud. To cope with new security challenges, security teams are forced to reassess their security posture and strategies as traditional security tools are often not suited for the challenges of dynamic, virtual and distributed cloud environments. This technology challenge is only exacerbated by the dramatic shortage of skilled cybersecurity professionals.
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Alert Logic
Published By: Zscaler     Published Date: May 15, 2019
Cloud computing is rapidly changing enterprise IT with applications like Salesforce and Office 365, which are improving productivity, reducing costs, and simplifying management. Now, organizations are discovering that those same advantages can be achieved by migrating security to the cloud. In fact, in its 2016 Magic Quadrant report on Secure Web Gateways, Gartner reported, “Cloud services have experienced a 35% five-year compound annual growth rate, while on-premises appliances have only grown by 6% during the same period.”
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Zscaler
Published By: Forcepoint     Published Date: May 14, 2019
Downtime Is Not an Option: High Availability Next Generation Firewall Access to applications, data, and resources on the Internet is mission-critical for every organization. Downtime is unacceptable. Security for that network must also be highly available and not cause performance degradation of the network. The increased workload of security devices as they analyze traffic and defend users from malicious attacks strains computing resources. The next generation of security solutions must build in high availability that can scale as the business changes. Download this whitepaper to find out how high availability is at the core of the Forcepoint NGFW (Next Generation Firewall).
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
Downtime Is Not an Option: High Availability Next Generation Firewall Access to applications, data, and resources on the Internet is mission-critical for every organization. Downtime is unacceptable. Security for that network must also be highly available and not cause performance degradation of the network. The increased workload of security devices as they analyze traffic and defend users from malicious attacks strains computing resources. The next generation of security solutions must build in high availability that can scale as the business changes. Download this whitepaper to find out how high availability is at the core of the Forcepoint NGFW (Next Generation Firewall).
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
Downtime Is Not an Option: High Availability Next Generation Firewall Access to applications, data, and resources on the Internet is mission-critical for every organization. Downtime is unacceptable. Security for that network must also be highly available and not cause performance degradation of the network. The increased workload of security devices as they analyze traffic and defend users from malicious attacks strains computing resources. The next generation of security solutions must build in high availability that can scale as the business changes. Download this whitepaper to find out how high availability is at the core of the Forcepoint NGFW (Next Generation Firewall).
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Forcepoint
Published By: IBM APAC     Published Date: May 14, 2019
The perceived x86 benefits of lower acquisition cost and standardizing on are often made at the expense of performance, reliability, scalability and manageability. Moreover, many are driven by the impression that x86-based systems will solve all their computing challenges—when often that is not the case. This eBook looks at companies that chose to invest in IBM® Power Systems™ rather than continuing to run on or migrate to x86-based systems — and why.
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next. Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing. With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected. - Simplified Multicloud - Built-in end-to-end security - Proven Reliability - Industry-leading value and performance
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IBM APAC
Published By: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle
Published By: LiveAction     Published Date: Apr 26, 2019
In March of 2019, Sirkin Research was commissioned by LiveAction to identify the driving forces of network transformation and how the rapidly evolving network environment is impacting network professionals. It is well recognized that network transformations, such as SD-WAN, WiFi, and multi-cloud, edge computing among other trends, are creating a host of new challenges and opportunities for network operations. This research is based on responses from over 163 network and IT professionals in predominantly in enterprise organizations with at least $1 billion in revenue Attached is also the target account list.
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LiveAction
Published By: SAS     Published Date: Apr 17, 2019
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges. In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including: Why are organizations moving analytic work to the cloud? What are the key challenges and misconceptions? How do IT leaders provide choice while maintaining control?
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SAS
Published By: Amazon Web Services EMEA     Published Date: Apr 16, 2019
By placing the future of transportation in the cloud, governments can improve the performance of technology infrastructure and focus on delivering innovative services to citizens, without increasing costs. You can start that journey today. In this eBook, you will learn about: • Life-saving digital initiatives on US streets • Valuable data insights across UK airports • Scalable ticketing services for Turkey’s Istanbul Deniz Otobüsleri ferry passengers • Cost savings for Singapore’s Land Transport Agency • Scalable, secure innovation at speed
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cloud computing, public sector, aws, healthcare, amazon web services
    
Amazon Web Services EMEA
Published By: Amazon Web Services EMEA     Published Date: Apr 16, 2019
Whether you are part of a community hospital or global pharmaceutical company, Amazon Web Services (AWS) can help you add agility, improve collaboration and security, create an environment of experimentation, and drive new technological innovation.
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cloud computing, public sector, aws, healthcare, amazon web services
    
Amazon Web Services EMEA
Published By: Intel     Published Date: Apr 16, 2019
Gartner predicts that the public cloud market will surpass USD 300 billion by 2021 . With the big players (Amazon, Google, Microsoft and IBM) taking home 63 percent of the market share , how will next wave CSPs stand out from the crowd? Download Intel's latest whitepaper, Differentiating for Success: A Guide for Cloud Service Providers' to discover how to offer unique services, including: - Providing workload-specific optimizations, for example machine learning or high-performance computing - Targeting a particular geographical area - Focusing on an industry, such as financial services - Delivering emerging technology, such as virtual reality, in-memory databases, and containerization
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Intel
Published By: BlackBerry Cylance     Published Date: Apr 15, 2019
Artificial intelligence (AI) leads the charge in the current wave of digital transformation underway at many global companies. Organizations large and small are actively expanding their AI footprints as executives try to comprehend more fully what AI is and how they can use it to capitalize on business opportunities by gaining insight to the data they collect that enables them to engage with customers and hone a competitive edge. But, while AI may indeed be the frontier of enterprise technology, there remain many misconceptions about it. Part of the confusion stems from the fact that AI is an umbrella term that covers a range of technologies — including machine learning, computer vision, natural language processing, deep learning, and more — that are in various stages of development and deployment. The use of AI for dynamic pricing and targeted marketing has been in use for a while, but actual AI computing where machines think like humans is still many years from becoming mainstream. T
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BlackBerry Cylance
Published By: Pure Storage     Published Date: Apr 15, 2019
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights. By watching this webinar, you'll learn: - Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business - Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center - Gain insights that can drive your AI infrastructur
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Pure Storage
Published By: Gigaom     Published Date: Apr 10, 2019
In this 1-hour recorded webinar, viewers will discover why the data center of the future will need to co-exist with cloud environments for a long time to come.
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nutanix, hyperconverged, cloud, public cloud, cloud environment, cloud computing, hci, infrastructure
    
Gigaom
Published By: Darktrace     Published Date: Apr 02, 2019
As organizations increasingly rely on cloud services and SaaS applications to streamline business practices, the familiar paradigm of the network perimeter has dissolved, leaving a porous and ever-changing digital estate in its wake. While the benefits of cloud computing will ensure that migrations continue apace, the unique security challenges presented by the cloud will not only require a more agile mindset, but also self-learning technologies that can move at the speed of cloud deployments and spot subtle deviations indicative of a threat, while providing complete, real-time visibility across the digital business. Darktrace’s world leadership in the field of artificial intelligence for cyber security makes it the most effective and proven solution to detect unprecedented threats and anomalous cyber-incidents in the cloud. Whether faced with an insider threat, an attacker targeting sensitive data in test containers, or a significant misconfiguration that could be exploited in the fut
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Darktrace
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloud-ready servers help you unleash insight from your data pipeline—from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Schneider Electric     Published Date: Mar 28, 2019
Colocation providers are dealing with market forces that represent both great opportunity and significant challenge – in some cases from the same development. Providers have to deal with an ever-changing set of buyers, with CFOs and COOs playing an increased role in the decision-making. And they need to address emerging trends such as the Internet of Things and cloud computing, which can have both a positive and negative impact on their businesses.
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decision-making, emerging threats, schneider electric, - colocation data center threats, colocation provider
    
Schneider Electric
Published By: Red Hat     Published Date: Mar 28, 2019
Digital business requires a culture of organizational agility, as the rapid pace of demand can only be satisfied by faster and more flexible development and delivery models. Most organizations do not have the luxury of completely rebuilding their technology foundation or immediately adopting new practices and mindsets, so they are embracing gradual yet fundamental shifts in culture, processes, and technology to support greater velocity and agility. The cloud-native approach modernizes existing applications and builds new applications based on cloud principles, using services and adopting processes optimized for the agility and automation of cloud computing.
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Red Hat
Published By: Red Hat     Published Date: Mar 28, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster.
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Red Hat
Published By: Gigamon     Published Date: Mar 26, 2019
Read this ESG research brief to learn how to improve visibility across distributed computing environments without increasing staff or tools. Download “The Importance of a Common Distributed Data Services Layer” to learn why ensuring visibility in a distributed network environment is crucial and how a common distributed data services layer to collect, process and share data ensures that network operations teams are able to provide better digital experiences, mitigate risk and respond to changing environments.
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Gigamon
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