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machine learning

Results 201 - 225 of 318Sort Results By: Published Date | Title | Company Name
Published By: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
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data, analytics, customer, banks, intelligence, capabilities, customers, insights
    
TIBCO Software
Published By: TIBCO Software     Published Date: Aug 20, 2019
The oil field is being dynamically transformed through the connective power of the Internet, the advancements in remote connected sensors, and the possibilities of machine learning and artificial intelligence (AI). As the quest for hydrocarbons and alternative energy sources extends into deeper and harsher environments, operators, service companies, and asset owners are leveraging technology advancements to ensure their employees are safer, their fields are more productive, and their capital assets are operating at peak efficiency.
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machine learning, predictive analytics, hydrocarbons, oil&gas, cybersecurity, asset efficiency, safety
    
TIBCO Software
Published By: Oracle     Published Date: Jun 10, 2019
In our recent report, we look into the reasons why HR feel less than confident in their ability to manage the volume of data securely and ethically. From extracting the right type of insights to improving employee productivity and engagement to managing the skills pipeline. We look forwards to how HR can improve their systems by using automated technologies such as artificial intelligence and machine learning. Read the survey today to see how your organisation compares to your peers.
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: IBM APAC     Published Date: Oct 16, 2018
The latest IBM POWER9 Server is built for the most demanding, data-intensive, computing on earth with an enhanced core and chip architecture. It provides scalability and flexibility to handle changing customer needs while being cloud-ready with industry-leading reliability and performance. The POWER9 Systems server family has servers that are available for different workloads, IT environments or budget. You can choose from an array of server options that include: - POWER9 for Enterprise – scale-up - POWER9 for AIX & IBM I – scale-out - POWER9 for Linux - POWER9 for SAP HANA - POWER9 for Enterprise AI, Deep Learning & Machine Learning Find out more about these servers to meet the business needs of tomorrow.
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IBM APAC
Published By: FICO - APAC     Published Date: Jul 10, 2017
As a subsidiary of the world’s largest food company, Nestlé USA is laser-focused on doing more with fewer resources and adopting highly efficient technologies and processes, including machine learning and prescriptive analytics. With 64 brands consisting of numerous products in each brand, maximizing payload and minimizing transportation costs is an extremely complex problem – particularly when you factor in demand forecasts and current supply levels.
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FICO - APAC
Published By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
    
Pentaho
Published By: GE Healthcare     Published Date: Jun 09, 2015
This whitepaper provides an introduction to the Smart Reading Protocol (SRP) feature in Universal Viewer, explains briefly the SRP engine mechanism, and summarizes the key advantages of SRP over traditional hanging protocols.
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smart reading protocol, srp, web-based radiology, pacs, imaging, image documentation
    
GE Healthcare
Published By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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Adobe
Published By: AWS     Published Date: Nov 16, 2018
"Migrating to the cloud? Already living there? TIBCO Cloud Integration is an Integration Platform as a Service (iPaaS) that enables businesses like yours to connect applications easily and securely—no coding required. TIBCO Cloud Integration allows you to extend beyond connectivity to the cloud into IoT application services, analytics, and machine learning. Download this data sheet to see the top 3 reasons to choose TIBCO Cloud Integration for: • A modern platform • True open source innovation • Proven experience at enterprise scale"
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AWS
Published By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
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customer needs, customer experience, customer behavior, customer journey
    
Genesys
Published By: FICO     Published Date: Jun 06, 2017
As a subsidiary of the world’s largest food company, Nestlé USA is laser-focused on doing more with fewer resources and adopting highly efficient technologies and processes, including machine learning and prescriptive analytics. With 64 brands consisting of numerous products in each brand, maximizing payload and minimizing transportation costs is an extremely complex problem – particularly when you factor in demand forecasts and current supply levels.
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manufacturing, manufacturing optimization, manufacturing solutions
    
FICO
Published By: Google Cloud     Published Date: Aug 17, 2017
"A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology — and are already realizing genuine ROI."
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Google Cloud
Published By: Google Cloud     Published Date: Aug 17, 2017
Breakthroughs in artificial intelligence (AI) have captured the imaginations of business and technical leaders alike: computers besting human world-champions in board games with more positions than there are atoms in the universe, mastering popular video games, and helping diagnose skin cancer. The AI techniques underlying these breakthroughs are finding diverse application across every industry. Early adopters are seeing results; particularly encouraging is that AI is starting to transform processes in established industries, from retail to financial services to manufacturing.
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Google Cloud
Published By: BlackBerry Cylance     Published Date: Oct 06, 2017
Not All Cybersecurity Machine Learning Is Created Equal
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BlackBerry Cylance
Published By: Pure Storage     Published Date: Dec 05, 2018
"Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures"
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights for the massive amounts of data. Many organization are now using AI for leading-edge research or as a competitive advantage. This Datanami white paper not only covers the societal impacts of deep learning, but it also discusses why traditional storage can't meet deep learning needs and how having the right data hub can help deliver data throughput for AI.
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Pure Storage
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published 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
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
Published By: ttec     Published Date: Jul 24, 2019
The pace of automation in the contact center is accelerating as it moves from IVR and routing to artifi cial intelligence and bots. With the digitization of contact center operations, the status quo is being upended. Technological advances in robotic process automation (RPA), AI, and machine learning (ML) for both customer and employee interactions are literally changing the face of customer care. Simple, repetitive tasks don’t need a person to do them anymore. Chatbots and self-service knowledgebases put the control in customers’ hands to resolve their own issues quickly. Information from across the business can more easily be accessed, integrated, and analyzed to streamline backoffi ce and customer-facing functions. Companies are creating digital worker factories that leverage AI and ML to improve their business.
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ttec
Published By: Trend Micro     Published Date: May 03, 2018
Since the early days of the Gartner Magic Quadrant for this category, there have been successive waves of innovation. Back in 2002, integrated firewalls captured the market’s (and Gartner’s) attention. Over the years, we’ve seen technologies, such as full disk encryption, data loss prevention (DLP), behavioral detection, application control, and more recently, machine learning, as effective new ways to protect endpoints, detect threats and give security teams peace of mind. Trend Micro has consistently been part of these innovation waves. It’s clear that the market is excited about Endpoint Detection & Response (EDR). There are two drivers for this, and we are committed to delivering effective solutions in both areas.
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Trend Micro
Published By: Oracle     Published Date: Aug 31, 2016
What happened to Moore’s Law? Why is Oracle releasing a new SPARC processor with fewer cores and threads? The SPARC S7’s core processors are 50 percent to 100 percent more efficient than x86 processors. SPARC S7 delivers up to 10 times more-efficient data analytics and machine learning than x86-based systems. The new SPARC S7 is available in servers, an engineered system, and a cloud service at the same price as the Oracle Cloud x86 Compute service. The SPARC S7 processor makes it possible to build powerful, scalable, and cost-effective systems be it for application scale-out, on premise or public cloud.
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Oracle
Published 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.
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sap hana, sap, real time analytics, raw data, generation, analytics, big data, business intelligence
    
Advizex
Published By: Oracle     Published Date: Apr 16, 2018
Lançado no Oracle Open World 2017, o Oracle Autonomous Database Cloud utiliza um revolucionário modelo de machine learning para habilitar a automação que elimina erros humanos e ajustes manuais, resultando em alto desempenho, disponibilidade de armazenamento e segurança a um custo muito mais baixo. Saiba como ele funciona e por que adotá-lo!
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proxima, geracao, banco, dados, lider, setor, acaba
    
Oracle
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