machine learning

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CA Threat Analytics for PAM

Published By: CA Technologies EMEA     Published Date: Sep 14, 2018
The misuse or takeover of privileged accounts constitutes the most common source of breaches today. CA Threat Analytics for PAM provides a continuous, intelligent monitoring capability that helps enterprises detect and stop hackers and malicious insiders before they cause damage. The software integrates a powerful set of user behavior analytics and machine learning algorithms with the trusted controls provided by CA Privileged Access Manager (CA PAM). The result is a solution that continuously analyzes the activity of individual users, accurately detects malicious and high-risk activities and automatically triggers mitigating controls to limit damage to the enterprise.
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CA Technologies EMEA

A New Software Architecture for a Hyper-Connected World

Published By: Cisco     Published Date: Dec 21, 2016
Technology’s role in business and society has shifted away from largely driving efficiencies to innovating and creating engaging experiences that attract and retain customers. Innovations and business outcomes are fueled by a perfect storm of technology trends in cloud, analytics, machine learning, IoT and the emerging API Economy. The convergence of these technologies has created new opportunities for enterprises to improve business performance by acquiring customers faster while creating brand loyalty. The role of technology expands the interaction with customers beyond the core of the enterprise – away from 100% dependencies on systems of records – and towards real-time, contextual interactions. Businesses are a digital business or they are evolving to become one. This requires enterprises to re-think how they build software architectures.
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Cisco

Smart Factory Applications in Discrete Manufacturing

Published By: Cisco     Published Date: Sep 27, 2018
As the world of traditional manufacturing fuses with information technology, organizations are tapping into a level of technical orchestration never attainable before. Symphonies of systems facilitate real - time interactions of people, machines, assets, systems, and things. This is the Smart Factory; the factory ecosystem of the future. It is an application of the Industrial Internet of Things (IIoT) built with sets of hardware and software that collectively enable processes to govern themselves through machine learning and cognitive computing
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Cisco

Detect malicious patterns in encrypted traffic.

Published By: Cisco     Published Date: Oct 08, 2018
Detect attacks that get past perimeter defenses across the digital business. Detect malicious patterns in encrypted traffic. No decryption is needed with our Encrypted Traffic Analytics technology and multilayer machine learning. Extend your network visibility.
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encrypted traffic, digital business, security, network, network visibility, next generation firewall, digital transformation, advanced malware protection
    
Cisco

AI And Machine Learning Success Requires An Architectural Approach To Infrastructure

Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco

Big Data & Analytics for Dummies

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.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA

MIT Technology Review Insights Report: Anticipating Cloud Work’s Most Common Side Effects

Published By: Citrix ShareFile     Published Date: Jul 02, 2019
Get the report to find out how smart organizations are using new strategies to simplify IT infrastructures and empower employees to do their best work: • Get advice from Google and Citrix on how to manage the cloud transition strategically • Avoid common cloud work side effects such as excessive application logins, siloed data searches, and channel switching • Capture a vision for how artificial intelligence (AI) and machine learning are making work even more intuitive and personalized
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Citrix ShareFile

Ovum "On the Radar: ClearStory Data" Report

Published By: ClearStory     Published Date: Oct 07, 2014
Organizations are more data hungry than ever. Thanks to advances in machine learning and semantic processing, they can now gain new insights from that data. ClearStory Data helps business users gain new insights into their markets and the environments in which they operate.
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data hungry, semantic processing, insight, market enviornment, data management, data center
    
ClearStory

8 Best Practices for Reducing Spend In Google Cloud Platform

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

What Discounts Does Google Cloud Platform Offer and Why Should You Care?

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

Eight Storage Requirements for AI and Machine Learning

Published By: Cloudian     Published Date: Apr 26, 2018
Data is the life-blood of artificial intelligence and machine learning (AI and ML). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships.
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Cloudian

Unprecedented Technological Trends Push the Envelope in Life Sciences

Published By: Cognizant     Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
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cognizant, life sciences, patient care
    
Cognizant

The Rise of Machine Learning (ML) in Cybersecurity

Published By: CrowdStrike     Published Date: Apr 10, 2017
All ML technology isn’t created equal. Learn how the CrowdStrike® ML-based Engine Defends Against Unknown Malware. While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution, it dramatically increases your ability to detect attacks that use unknown malware.
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CrowdStrike

The Rise of Machine Learning (ML) in Cybersecurity

Published By: CrowdStrike     Published Date: Aug 01, 2017
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology —what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution,it dramatically increases your ability to detect attacks that use unknown malware. Download this white paper to learn:?How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware?Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML ?How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-generation AV
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CrowdStrike

The Rise of Machine Learning in Cybersecurity: How this critical capability can help prevent attacks

Published By: CrowdStrike     Published Date: Nov 28, 2018
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? This white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution, it dramatically increases your ability to detect attacks that use unknown malware. Download this white paper to learn: • How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware • Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML • How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-gene
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CrowdStrike

Giving Customers What They Want: Personalized and Predictive Brand Experiences

Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist

Tackling Fraud: the Role of Machine Learning for Today and Beyond

Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource

Machine learning: a silver bullet?

Published By: CyberSource EMEA     Published Date: Jun 28, 2018
It has to be quick and easy for people to pay. At the same time, fraudsters are probing the weaknesses of new digital processes. As the person who can decide whether a transaction is accepted or rejected, fraud managers have a pivotal role. They’re not just preventing losses from chargebacks. They’re gatekeepers to accepting more revenue. It’s a complex job. But get it right, and they enable their business to engage customers better – across devices and places. And that can mean supporting the very growth of the business. In this landscape, the idea that a technology like machine learning might be the answer to all the industry’s needs is attractive. But while machine learning should be a key part of an effective fraud strategy, the truth is that there’s no silver bullet. So, in this paper, we’ll look at how best to put machine learning to use. By employing it in tandem with expert insight, merchants can use it to accept the optimal number of payments. And make a direct impact on the
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CyberSource EMEA

Benefits of Machine Learning

Published By: Cyphort     Published Date: Jun 28, 2016
Computer viruses have plagued personal computers since the original Brain virus began infecting boot sectors in 1986. Originally, these early viruses were annoying, but fundamentally benign in nature. However, once the initial concept of malicious propagating code became established, the actors creating viruses became more sophisticated in their approach. Ultimately, the results of a successful infection were more significant and the impact on an enterprise more severe.
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technology, security, best practices, solutions, network management
    
Cyphort

eBook: The Future of Life Sciences Manufacturing

Published By: Dassault Systčmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
    
Dassault Systčmes

eBook: The Future of Life Sciences Manufacturing

Published By: Dassault Systčmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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Dassault Systčmes

How Data Temperature Drives Data Placement Decisions—and What to Do About It

Published 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.
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storage tiering, auto tiering, all-flash array, ssd, software defined storage, hyperconverged, data migration, storage migration
    
DataCore

DataRobot Automated Machine Learning Platform

Published By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot

Automated Machine Learning on AWS with DataRobot

Published By: Datarobot     Published Date: May 14, 2018
Organizations across industries look to technology, not only as a way to run their operations more smoothly, but as a way to gain competitive advantage. Artificial Intelligence (AI) and machine learning have transformed the businesses that are aggressively adopting these technologies, allowing them to systematically solve business problems faster and more effectively.
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Datarobot

Unleashing the Power of AI Initiatives with the Right Infrastructure

Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
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