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Results 326 - 350 of 925Sort Results By: Published Date | Title | Company Name
Published By: TIBCO Software     Published Date: Jul 22, 2019
Connected Intelligence in Insurance Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI). Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever. What you will learn: The insurance industry's global digital trends, supported by data and analysis What capabilities will make the insurers of the future become disruptors in their industry Notable leaders based on IDC Financial Insights research and their respective use cases Essential guidance from IDC
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TIBCO Software
Published By: IBM APAC     Published Date: Aug 25, 2017
Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high, not only in cost, but also in the need for specialized talent.
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machine learning, apache spark, additional resources, big data, ibm
    
IBM APAC
Published By: ABB     Published Date: Nov 21, 2018
Profitability in the marine and power generation sectors is affected by numerous factors, some of which have a dramatic influence on operational costs. Because many of these influences are external, operators must closely manage those that are within their control to strengthen profit margins. At the top of the priorities list is efficiency, both in terms of processes and physical machinery. Even the smallest details can have an effect on profit, so controlling waste and maximizing uptime at every opportunity is crucial. To understand the benefits of how ABB coated nozzle rings apply to your operations, and how your business could realize significant new efficiencies download this whitepaper today.
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ABB
Published By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
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KPMG
Published By: KPMG     Published Date: Jul 11, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance look like? Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics. Download the report now:
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KPMG
Published By: CA WA 2     Published Date: Oct 01, 2008
Virtualization and clustering can bring many benefits to your business—better IT asset utilization, improved business continuity and improved operational efficiency. At the same time, virtualization can create a new level of complexity for IT. This white paper describes some of the technical challenges inherent in managing these complex environments and recommends strategies for successful deployment that will maximize the value of virtualization technology in your organization.
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virtual, virtual machine, virtual storage, virtual server, virtualization, ca wa, ca wa 2
    
CA WA 2
Published By: CA WA 2     Published Date: Oct 01, 2008
Management of a virtual environment presents unique challenges; many organizations do not thoroughly anticipate the differences in managing a virtual environment from a purely physical environment. Many of your existing management tools may, in fact, only be able to manage physical machines or may collapse under the sudden load of many more systems.
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virtual, virtualization, ca wa, ca wa 2
    
CA WA 2
Published By: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation
    
MarkLogic
Published By: MobileIron     Published Date: May 07, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, ransomware, confidential, networks
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
MobileIron knows that cybercriminals are continuously generating more advanced ways to steal your data by any means necessary. That’s why we are committed to continually innovating and delivering new solutions that help our customers win the race against time to get ahead of the latest mobile security threats. As part of that commitment, MobileIron Threat Defense supports the five critical steps to deploying advanced, on-device mobile security. Our solution provides a single, integrated app that delivers several key advantages: • A single app of threat protection is fully integrated with EMM. • No user action is required to activate or update on-device security. • Advanced mobile security blocks known and zero-day threats across iOS and Android devices with no Internet connectivity required. • Machine-learning algorithms instantly detect and remediate on-device DNA threats.
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mobile, threat, defense, strategy, mobileiron, innovation
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, learning
    
MobileIron
Published By: FICO     Published Date: Nov 30, 2016
Unexpected failure or performance erosion of production equipment can significantly impact productivity, product quality and maintenance expenses within any manufacturing organization. It’s also difficult to get operations ‘back on track’ after these failures occur. The good news is that, via the Internet of Things, intelligent use of sensor data, machine learning and optimization can help companies take a proactive approach to predicting failures and re-optimizing processes around them.
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iot, internet of things, manufacturing, it management
    
FICO
Published By: IBM     Published Date: Nov 30, 2016
Learn how to create powerful analytic apps with IBM Cloudant, dashDB and Apache Spark. This presentation will contain demos of real-life use cases e.g. machine learning predictive analytics, Graph-parallel computation and more.
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ibm, cloud, analytic apps, apps, cloudant, enterprise applications, cloud computing
    
IBM
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
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Oracle
Published By: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
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VMware
Published By: Rosetta Stone     Published Date: Aug 18, 2016
Baldwin County Public Schools has built a curriculum that includes preparing students for the world of intelligent machines and empowering them to participate in the global community through language acquisition. The district sought a technology-based solution to provide students with the opportunity for long-term language learning.
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Rosetta Stone
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Choosing Azure revolutionizes your environment's agility, simplicity, and innovation, but have you achieved the cost savings you expected? Discover 10 ways you can reduce your spend in Azure, including: -Terminate Zombie Assets -Delete Aged Snapshots -Rightsize Virtual Machines -Rightsize SQL Databases Read 10 Best Practices for Reducing Spend in Azure, to learn key strategies for optimizing cloud spend and saving 10-20% on your monthly Azure costs.
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cloud management, microsoft azure, multicloud management
    
CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Microsoft Azure Reserved Virtual Machine (VM) Instances are an effective way to reduce your Azure spend. While the concept of reservations may be new to you, just remember that they enable you to make an all upfront payment towards your compute costs, thereby providing prioritized capacity. Read this eBook to learn: -The benefits of Reserved VM Instances -How to calculate the break-even point -The options for modifying, exchanging, or cancelling your reservations
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cloud management, microsoft azure, multicloud management
    
CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Most organizations use public cloud to reduce costs, but end up spending way more than they expected. Google Cloud Platform is growing at a staggering rate for the business benefits and its rich features around Machine Learning, Artificial Intelligence, Big Data and Containers. However, it’s important to keep a tab on your spend while maximizing your cloud benefits. Reducing spend in GCP doesn’t need to be a process of trial and error -- there are proven ways to save money in your GCP environment without negatively impacting desired outcomes. Read this eBook to learn the 8 different ways to reduce your spend, including: -Terminating Zombie Assets -Deleting Unattached Persistent Disk -Rightsizing Compute Engine VMs Download to learn and practice these techniques to reduce spend in GCP.
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cloud management, google cloud platform, multicloud management
    
CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Google Cloud Platform is being widely adopted for its security and performance networking capabilities, machine learning, Kubernetes support, and data analytics. Google has been developing innovative price models to attract new users and provide cost benefits for customers. Read this eBook for answers to questions such as: -What are Committed Use Discounts? -Why do you need Committed Use Discounts? -What are Sustained Use Discounts? -What is the difference between Committed and Sustained Use Discounts? Download GCP Discounts and Why You Should Care to learn how you can take advantage of discounts in Google Cloud Platform to save you money on your monthly cloud bill.
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cloud management, google cloud platform, multicloud management
    
CloudHealth by VMware
Published By: Palo Alto Networks     Published Date: Dec 02, 2016
Exploit kits, which first became popular in 2006, are used to automate the exploitation of vulnerabilities on victims’ machines, most commonly while users are browsing the web. Over the past decade they have become an extremely popular means for criminal groups to distribute mass malware or remote access tools (RAT), because they lower the barrier to entry for attackers and can enable opportunistic attacks at scale. To understand this phenomenon, we must understand the ecosystem that surrounds exploit kits, including the actors, campaigns and terminology involved.
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palo alto, exploit kits, antivirus, security, security value, prevention
    
Palo Alto Networks
Published By: IBM     Published Date: Jan 11, 2017
Download this white paper to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats. - Why security infrastructure protection alone is not enough to thwart cyber criminals, and how you can fortify your existing security strategy. - How the use of both machine led analytics with human led analysis can help you mitigate threats.
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ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk, enterprise applications
    
IBM
Published By: IBM     Published Date: Sep 11, 2017
There's a new wave of work automation now starting to impact businesses. Yes, partly this is enabled by Machine Learning technologies and techniques: but there's more to it. The new wave of automation brings advances in interaction, insights and integration. This report lays out the landscape.
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work automation, machine learning, integration, interaction, automation
    
IBM
Published By: IBM     Published Date: Nov 03, 2017
Massive shifts within the digital business landscape are sparking immense opportunities and reshaping every sector. In some cases, complete upheaval is happening at lightning-fast speed. In other instances, digital undercurrents are stirring beneath the surface as organizations scramble to monetize vast volumes and variety of data in an effort to sharpen their competitive edge and not be blindsided by unforeseen events that completely upend existing business models. While long-standing industry leadership might be no match for the next cool app, agility, speed and the ability to harness more data than was ever imagined is fueling powerful possibilities for reinvention among companies of every size. Data is following rapidly from mobile devices and social networks, as well as from every connected product, machine and infrastructure. This data holds the potential for deep insights that can replace guesswork and approximations as to locations, behaviors, patterns and preferences. As the w
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digital business, data, data-driven enterprise, innovation, ibm
    
IBM
Published By: Oracle     Published Date: Feb 11, 2019
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Oracle
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