HIT Consultant Insightful coverage of healthcare innovation
 

enterprise learning

Results 1 - 25 of 52Sort Results By: Published Date | Title | Company Name
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
Tags : 
    
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.
Tags : 
    
Unit4
Published By: Anaplan     Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
Tags : 
    
Anaplan
Published By: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
Tags : 
    
Anaplan
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.
Tags : 
    
Oracle EMEA
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"
Tags : 
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
Tags : 
    
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
Tags : 
    
Hewlett Packard Enterprise
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.
Tags : 
    
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
Tags : 
    
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
Tags : 
    
Tenable
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
Tags : 
    
Pure Storage
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.
Tags : 
    
CA Technologies EMEA
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.
Tags : 
ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning
    
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.
Tags : 
e-learning, sumtotal, training, development, employee training, employee development, workforce, workforce management, skill development, human resources, hr technology, soft skill development, function skill development, compliance development, enterprise learning
    
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.
Tags : 
    
CA Technologies
Published By: TIBCO Software APAC     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.
Tags : 
    
TIBCO Software APAC
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.
Tags : 
    
Pure Storage
Published By: Infor     Published Date: Mar 03, 2017
Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.
Tags : 
cio, finance, digital, manufacturing, enterprise
    
Infor
Published By: Infor     Published Date: Mar 03, 2017
Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.
Tags : 
cfo, finance, digital, manufacturing, enterprise
    
Infor
Published By: Pure Storage     Published Date: Oct 09, 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.
Tags : 
    
Pure Storage
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
Tags : 
    
Group M_IBM Q2'19
Published By: MobileIron     Published Date: Apr 11, 2018
The enterprise landscape has changed dramatically with the influx of millennials — and their preferred devices — into the workforce. As a result, Macs that were once limited to mostly niche usage are now rapidly expanding their enterprise footprint. These devices require the same level of security and oversight that organizations apply to all of their other devices. Otherwise, the risk of leaving Macs either unmanaged or secured by point products creates security gaps that can leave the enterprise open to cyberattacks and compliance violations. The good news is, MobileIron makes it easy to secure Macs the same way all other devices in the enterprise are managed. No integrations, additional training, or learning curves are involved. The time has come for a modern approach to Mac management that is seamless for end users, improves operational efficiency, and simplifies IT operations across the entire device lifecycle. MobileIron makes it all possible.
Tags : 
macos, modern, work, era, devices, workforce, organizations
    
MobileIron
Published By: Genesys     Published Date: Feb 21, 2018
In the ongoing evolution of the customer experience, organizations continue to rely on phone and email while introducing new customer engagement channels. With the channel mix rapidly changing, it has become more important than ever to accurately identify and proactively deploy the next-best channels for engaging customers today and tomorrow. Gartner Research has profiled 15 ways that organizations will engage customers over the next 20 years. This includes augmented reality, virtual reality and mixed reality immersive solutions which will be adopted by 20% of large enterprises by 2020. By learning which engagement channels will best meet your customers’ needs in the future and prioritizing those aligned with your business model, you can improve customer engagement and
Tags : 
gartner, customer engagement, customer experience, gartner research
    
Genesys
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
Tags : 
    
IBM
Start   Previous   1 2 3    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.