learning

Results 151 - 175 of 1037Sort Results By: Published Date | Title | Company Name
By: CA Technologies     Published Date: Nov 02, 2016
Effective metrics and measurements are critical to running a high performance business. Properly applied, they lead you to better insights, better decisions and better business outcomes. They provide feedback to spark improvement and create learning opportunities. They help you identify the right outcomes that drive you toward your business goals. Unfortunately, many businesses misuse these powerful tools in ways that actively destroy the agility they seek to create. In this paper, we highlight nine mistakes organizations make involving agile measurement at enterprise scale—and how to do it right.
Tags : 
     CA Technologies
By: Google     Published Date: Jan 08, 2018
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
Tags : data analytics, machine learning, big data, artificial intelligence
     Google
By: Google     Published Date: Aug 23, 2018
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
Tags : 
     Google
By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Tags : continuous delivery, application delivery, testing, test data management
     CA Technologies EMEA
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
By: ServiceNow     Published Date: Oct 24, 2019
Learn how ServiceNow has been applying machine learning and analytics with AIOps to help you cut through event noise to create actionable signals, identify service outages and degradations, remediate service and infrastructure issues accurately, and drive continuous improvement in service quality
Tags : servicenow, business, services, ops, analytics
     ServiceNow
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.
Tags : cognizant, life sciences, patient care
     Cognizant
By: Intel     Published Date: Apr 15, 2019
There’s never been a more urgent need for comprehensive security and surveillance solutions. GeoVision Inc. has built its business on helping meet this need, providing digital and networked video surveillance solutions to customers in 110 countries. To succeed in its highly competitive and fast-changing industry, GeoVision must always be on the lookout for ways to give its customers leading-edge performance. Find out how GeoVision is working closely with Intel to maximize the performance of the hardware using the tools in Intel® System Studio, a comprehensive development tool suite to optimize the computer vision and deep learning workloads.
Tags : 
     Intel
By: Intel     Published Date: Apr 15, 2019
o The growing video surveillance market is driving demand for advanced video analysis technologies. Businesses and organizations from all vertical sectors are looking to leverage the benefits of enhanced detection accuracy and flexibility provided by deep learning to solve their security, safety, and operations challenges. Discover how Agent Vi’s innoVi* leverages cutting-edge deep learning technology to transform the hundreds, or even thousands, of cameras deployed across a city into smart video devices, contributing to the city’s ability to improve security, safety, and incident response citywide.
Tags : 
     Intel
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
Tags : 
     SAP EMEA Global
By: Dassault Systèmes     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.
Tags : iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
     Dassault Systèmes
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, knowledge management, enterprise applications, data management
     IBM
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 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.
Tags : 
     Oracle PaaS/IaaS/Hardware
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
Tags : 
     Oracle PaaS/IaaS/Hardware
By: Adobe     Published Date: Jun 01, 2016
This report explores the evolution of the key features of course apps mobility, interactivity, engaging design, and integrated analytics — and showcase how course apps are sparking new thinking in higher education about the next iteration of digital learning resources.
Tags : education, mobility, mobile applications, apps, course apps, mobile applications, interactivity, apps for education
     Adobe
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.
Tags : encrypted traffic, digital business, security, network, network visibility, next generation firewall, digital transformation, advanced malware protection
     Cisco
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.
Tags : reporting, artificial intelligence, insights, organization, institution, recognition
     Pure Storage
By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : data, deep learning, automated, intelligence, pure storage
     Pure Storage
By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
Tags : learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
     Pure Storage
By: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay.1 As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world."
Tags : 
     F5 Networks Singapore Pte Ltd
By: UL EduNeering     Published Date: Jul 05, 2012
Cost reduction is a key criteria that executives often use when choosing initiatives to focus on. They are the ones that have the greatest potential to impact an organization's bottom line. Across life science organizations, a critical area for cost containment is training management.
Tags : fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11
     UL EduNeering
By: UL EduNeering     Published Date: Jul 05, 2012
This paper summarizes the results of a quantitative benchmarking survey to over 200 Life Science organizations. The study identifies the key compliance and performance improvement training topics they had addressed in 2011 along with key issues for 2012.
Tags : fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11
     UL EduNeering
By: UL EduNeering     Published Date: Jul 05, 2012
SOPs are critical to efficient manufacturing operations, quality control, and regulatory compliance. This paper reviews best practices for the Life Science industry for training on SOPs, and how learning management technology has the potential to improve learner retention through automated assessments.
Tags : fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11
     UL EduNeering
By: UL EduNeering     Published Date: Jul 05, 2012
Third party intermediaries have played starring roles in some of the most highly publicized global corruption trials. By any measure, third party intermediaries routinely rank high on the list of compliance worries for brand companies.
Tags : fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11
     UL EduNeering
By: UL EduNeering     Published Date: Jul 05, 2012
Good Manufacturing Practices (GMP) violations have become the new healthcare fraud as the Department of Justice (DOJ) tests out new legal theories under the False Claims Act (FCA). The Food and Drug Administration (FDA) has dusted off its regulatory authority to prosecute GMP violations.
Tags : fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11
     UL EduNeering
Start   Previous    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search White Papers      

Add White Papers

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