enterprise learning

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Published By: Larsen & Toubro Infotech(LTI)     Published Date: Feb 20, 2020
The greatest challenge is to identify where AI will have the maximum impact and reap the greatest benefits; what type of AI initiatives the business should be undertaking; and how to implement Smart Automation as a step towards becoming an Intelligent Enterprise. Applications of AI cover a wide range of functional areas, so organizations must decide where AI will have the biggest impact. This will typically be in value added business areas: for example, in retail organizations it will be the marketing and sales function; in advanced manufacturing it will be in operations. Organizations with a “cloud first” strategy have a head start with AI. Deploying ERP on the cloud and cloud-ERPs is an essential requirement in the transformation towards a digital Intelligent Enterprise. These organizations can deploy and leverage multiple technologies: the Internet of Things (IoT), Machine Learning, Chatbots, Predictive Maintenance, Blockchain and Big Data.
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Larsen & Toubro Infotech(LTI)
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
The performance of enterprise applications will have a direct impact on business activities and outcomes. The quality of the delivery of applications will depend on how smoothly the underlying data infrastructure operates. ? Optimal application performance and delivery is difficult to achieve in complex environments. ? Many IT infrastructure and operations teams are stretched to the breaking point. ? Predictive analytics and machine learning can be applied to great effect
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise
Published By: Cisco     Published Date: Jul 08, 2016
Cisco's 2015 Mobility Landscape Survey provides new insights into how mobility is being approached by mid-market and enterprise organizations globally Specific objectives include: • Discovering insights into current strategy and future plans • Identifying priority mobility initiatives and top challenges • Learning how IT and Business leaders’ views, priorities and objectives align and differ • Building a global and local view from over 1400 respondents across 14 countries in every geography
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise
Published By: Dell Bedrock     Published Date: Feb 17, 2020
To run a digital business that is Intelligent and agile, your enterprise requires an IT landscape capable of connecting the front and back offices. In other words, the ability to engage customers depends on the oftenunseen capabilities in the data center. To remain on a path to digital transformation and capitalize on innovations in AI and machine learning (ML), companies are migrating their enterprise resource planning (ERP) and business warehouse (BW) workloads to SAP HANA and SAP S/4HANA. For enterprises running legacy SAP solutions, with an end of service life after 2025, the timetable for migration is rapidly approaching given that the average implementation is several years. IT decision makers (ITDMs) begin this journey by articulating the business case for why they should modernize their IT landscape for SAP and what factors they should consider along the way.
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Dell Bedrock
Published By: Dell EMC Storage     Published Date: Dec 02, 2019
Why AI? Artificial Intelligence (AI) is transforming how consumers and enterprises work, learn, and play. Winning organisations will be those that use AI - as well as machine learning (ML) and deep learning (DL) - to: - Deliver meaningful insights and value-added predictions - - Uncover new business opportunities and revenue sources - Improve processes, products, or services across industries and use cases - Enable digital transformation Learn more about Dell EMC solutions powered by Intel®
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Dec 02, 2019
Why AI? Artificial Intelligence (AI) is transforming how consumers and enterprises work, learn, and play. Winning organisations will be those that use AI - as well as machine learning (ML) and deep learning (DL) - to: - Deliver meaningful insights and value-added predictions - Uncover new business opportunities and revenue sources - Improve processes, products, or services across industries and use cases - Enable digital transformation Learn more about Dell EMC solutions powered by Intel®
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
Fueled by data, infrastructure advances, and the ubiquity of machine learning and deep learning (ML/DL) toolkits, artificial Intelligence (AI) solutions are fast becoming a mainstay in the enterprise data center. This paper describes how deep learning and artificial intelligence in the enterprise bring new workflows and challenges to data center architecture. It also addresses how solutions can be constructed from infrastructure architectures specifically designed to bring scale-out compute and storage closer together.
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
Executive Summary: To deliver new value and enable innovation, organizations are striving to build intelligent enterprises that run on insight from data delivered in real time. The transition can be challenging especially in this digital era. Enterprises are accumulating increasing volumes of data, yet they struggle to identify what data is relevant and how to manage the data they are collecting. Success hinges on the way an enterprise uses data to transform it into data capital and the way the organization invests in data technology. Many organizations utilize SAP enterprise software to manage their data capital; however, as of 2025, SAP software will run on only one database, SAP HANA. This deadline and the desire to leverage SAP’s next-generation applications, including artificial intelligence and machine learning, are driving enterprises to migrate to SAP HANA and SAP S/4HANA. Dell EMC and Intel commissioned Forrester Consulting to conduct a market survey and a Total Economic Im
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Dell EMC Storage
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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Oracle EMEA
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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Dun & Bradstreet
Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable
Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable
Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: Unit4     Published Date: Apr 12, 2019
Looking to improve accuracy of enterprise budgeting and financial planning? Just 1% of firms can forecast costs at 90% accuracy 30 days out. This white paper by BPM Partners and sponsored by Unit4 shows how Artificial Intelligence (AI) makes a real impact on budgeting, planning, and analysis, and when complemented with deep machine learning, gives greater accuracy to data, budget rules and budget drivers. Download now and learn how AI can help auto-tune your FP&A.
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corporate performance management, cpm, corporate budgeting, forecasting, financial planning and analysis, artificial intelligence
    
Unit4
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
Published By: SAP EMEA Global     Published Date: Aug 23, 2019
Hear from IDC analyst Mickey North Rizza and an SAP's Neil Krefsky as they discuss what intelligent ERP is, how it will impact your business, and how to get started. We will cover how an intelligent ERP will help to to: Reduce complexity within your enterprise Speed up decision making and time to value Bring machine learning to the finance function
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SAP EMEA Global
Published By: IBM     Published Date: Apr 05, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning, knowledge management, enterprise applications, data management
    
IBM
Published By: SumTotal Systems     Published Date: Oct 10, 2013
E-learning is already known to be the most efficient and cost effective way to deliver training to a workforce. However, the best way to truly prepare employees for meeting organisational objectives is to focus the training on three major areas of skill development. Using a learning solution that is capable of delivering optimal training on each type of skill and checking for comprehension by examining the outcomes from other HR processes will drive performance within the company as employees develop their soft, functional and compliancebased skills.
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e-learning, sumtotal, training, development, employee training, employee development, workforce, workforce management
    
SumTotal Systems
Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: TIBCO Software     Published Date: Aug 15, 2018
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
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TIBCO Software
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Dec 05, 2019
The greatest challenge is to identify where AI will have the maximum impact and reap the greatest benefits; what type of AI initiatives the business should be undertaking; and how to implement Smart Automation as a step towards becoming an Intelligent Enterprise. Applications of AI cover a wide range of functional areas, so organizations must decide where AI will have the biggest impact. This will typically be in value added business areas: for example, in retail organizations it will be the marketing and sales function; in advanced manufacturing it will be in operations. Organizations with a “cloud first” strategy have a head start with AI. Deploying ERP on the cloud and cloud-ERPs is an essential requirement in the transformation towards a digital Intelligent Enterprise. These organizations can deploy and leverage multiple technologies: the Internet of Things (IoT), Machine Learning, Chatbots, Predictive Maintenance, Blockchain and Big Data.
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Larsen & Toubro Infotech(LTI)
Published By: Pure Storage     Published Date: Apr 18, 2018
Data is the fuel driving rapid innovation powered by artifi cial intelligence. Enterprises need modern data platform purpose-built for machine learning, accelerating insight while simplifying complex data pipelines in analytics.
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Pure Storage
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