learning architecture

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Published By: Dell EMC     Published Date: Oct 13, 2016
Flexibility is important, since many future initiatives—big data, machine learning, emerging technologies, and new business directions—will be built on this cloud structure. No matter what shape your cloud infrastructure takes, Dell EMC converged and hyper-converged platforms and innovations like Dell EMC VscaleTM Architecture, powered by Intel® Xeon® processors, deliver the pathways to scale-up and scale-out, today and tomorrow.
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emc, capex, opex, roi, hyper-converged platforms
    
Dell EMC
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: Splunk     Published Date: Aug 21, 2018
Due to recent cyberattacks, security operations centers (SOCs) have had to focus on a holistic and cohesive security strategy by consolidating the right people, processes and technology to mitigate and remediate attacks. This white paper, “The Five Essential Capabilities of an Analytics-Driven SOC”, dives into the necessity of SOCs to be analytics driven and how it helps IT and business leaders assess their own risk levels. Download this white paper to to learn about: *How advanced analytics and machine learning are now critical hallmarks of the modern security platform *How proactively hunting and investigating threats can shore up defenses *Why adaptive security architectures, like Splunk’s, are needed to prevent, detect and respond to attacks in today’s security landscape
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Splunk
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.
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Group M_IBM Q2'19
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: MemSQL     Published Date: Nov 15, 2017
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
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data pipelines, analytics, database, machine learning
    
MemSQL
Published By: Skillsoft     Published Date: Nov 22, 2013
Cloud solutions are the “new normal” as organizations opt to deploy more business systems “in the cloud.” For learning professionals, cloud-based solutions provide a wide range of benefits from cost savings to decreased delivery time, to global reach. Before selecting a cloud-based learning provider, you should understand all the benefits and be prepared to ask potential providers critical questions regarding the architecture and management of the service you are considering.
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skillsoft, cloud computing, learning management, system of engagement, cloud-based, learning architecture, cost savings, global reach
    
Skillsoft
Published By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
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SAS
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
Published By: Success Factors     Published Date: Feb 06, 2014
Organizations in regulated industries struggle with adopting SaaS-based learning solutions because of specific documentation, record-keeping, and IT requirements that must be followed, and the need to comply with a range of Good Practice (GxP) requirements. With a cloud solution that supports GxP requirements, companies in regulated industries can address compliance challenges and deliver a validated environment with a cloud-based LMS.
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good practice, gxp, learning management system, lms, cloud-based lms, saas-based learning solutions, human resources, e-learning
    
Success Factors
Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
Over the past few years, business leaders have been the primary drivers of technology change, including making decisions to adopt new applications in the cloud, mandate a cloud-first strategy, offer new capabilities with an API-first strategy, and provide new applications to end users on mobile first. There are significant benefits to these cloud decisions because they decrease time to value, lower costs, and make it easier for organizations to experiment and innovate. But there are consequences as well, chiefly in the complexity of learning how to integrate applications and exchange data across a decentralized architecture that is largely driven by autonomous development decisions. This IDC White Paper answers the following questions about the need for hybrid integration: How are changes in business strategy and technology adoption requiring changes in how organizations approach integration? What are the major events that trigger integration adaptation? How are the roles involve
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Group M_IBM Q418
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