learning technologies

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By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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     Entrust Datacard
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.
Tags : emc, capex, opex, roi, hyper-converged platforms
     Dell EMC
By: CrowdStrike     Published Date: Aug 01, 2017
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology —what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution,it dramatically increases your ability to detect attacks that use unknown malware. Download this white paper to learn:?How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware?Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML ?How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-generation AV
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     CrowdStrike
By: Amazon Web Services     Published Date: Apr 28, 2018
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
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     Amazon Web Services
By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Tags : akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
     Akamai
By: Success Factors     Published Date: Jul 27, 2012
The complimentary 2011-12 Towards Maturity Benchmark report consolidates the experiences of more than 1,800 organizations over the last 8 years. It cuts through the hype to show how HR leaders in real organizations are using both established and new learning technologies to help improve performance and business agility. Download today.
Tags : success factors, sap, towards maturity, towards maturity benchmark, boosting business agility, learning technologies, learning strategies, technology-enabled learning, workplace learning, business agility, e-learning maturity, learning technology investment, learning technology adoption
     Success Factors
By: IBM     Published Date: Sep 11, 2017
There's a new wave of work automation now starting to impact businesses. Yes, partly this is enabled by Machine Learning technologies and techniques: but there's more to it. The new wave of automation brings advances in interaction, insights and integration. This report lays out the landscape.
Tags : work automation, machine learning, integration, interaction, automation
     IBM
By: IBM     Published Date: Jun 25, 2018
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience. Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk. Find out how Watson Assistant can accelerate your customer support experience. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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     IBM
By: Amazon Web Services     Published Date: Feb 01, 2018
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet. Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
Tags : digital, technologies, optimization, amazon
     Amazon Web Services
By: Datarobot     Published Date: May 14, 2018
Organizations across industries look to technology, not only as a way to run their operations more smoothly, but as a way to gain competitive advantage. Artificial Intelligence (AI) and machine learning have transformed the businesses that are aggressively adopting these technologies, allowing them to systematically solve business problems faster and more effectively.
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     Datarobot
By: The Starr Conspiracy     Published Date: Jun 23, 2017
Stop us if you’ve heard this one before: The learning management system is dead. The LMS is mentioned in learning the same way that people talk about applicant tracking systems in recruiting and performance evaluation solutions in talent management. They’re the technologies people love to hate. The solutions people want to love? Many times, these are the so-called “next-generation solutions.”
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     The Starr Conspiracy
By: Polycom     Published Date: Mar 06, 2017
Education today is described as between paradigms from the traditional to the digital. Students expect a highly engaging interactive learning environment, not stagnant instructor-led designs. Learning technologies, and changing pedagogical methods, are not only changing the way we teach but also the physical environments we teach in. Download now to learn more.
Tags : polycom, education, education technology, students, public sector, global connectivity, education sector, enterprise applications
     Polycom
By: Salesforce.com     Published Date: May 14, 2013
Transforming Your Business with Salesforce. Pull ahead of your competition by learning best practices for incorporating social and mobile technologies.
Tags : salesforce, salesforce app, sales application, crm, customer relationship management, saas crm
     Salesforce.com
By: Salesforce     Published Date: Mar 19, 2013
Pull ahead of your competition by learning best practices for incorporating social and mobile technologies. This white paper will explore how you can close more deals and save hours each week by taking advantage of these new technologies.
Tags : crm, social, sales, social media, mobile, emerging technologies, operations, process management, roi, best practices
     Salesforce
By: IBM     Published Date: Sep 30, 2013
Using social technologies, organizations can develop a workforce development program where employees can develop skills on the job by collaborating with experts and sharing tacit knowledge. This white paper shows how organizations that develop a social learning program can improve employee engagement, reduce attrition and decrease the amount of time employees waste searching for expertise and information.
Tags : workforce, workforce management, social business, social learning environment, social learning, social technologies, skills development, employee retention
     IBM
By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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     SAS
By: SAS     Published Date: Mar 06, 2018
There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Although many of these technologies have been available for decades, new advancements in compute power along with new algorithmic developments are making these technologies more attractive to early adopter companies. These organizations are embracing advanced analytics technologies for a number of reasons including improving operational efficiencies, better understanding behaviors, and gaining competitive advantage.
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     SAS
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
By: SAS     Published Date: Oct 18, 2017
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars. This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
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     SAS
By: Norse     Published Date: Oct 24, 2013
Learn how to protect your financial institution and your customers from cyber-attacks and fraud by learning about 4 technologies that can strengthen security.
Tags : threat, cyber security, impact report, threat intelligence, it security, cyber threat, data breach, security attacks, enterprise security, exploits, live threat, security
     Norse
By: Salesforce.com     Published Date: Jun 17, 2013
Transforming Your Business with Salesforce Pull ahead of your competition by learning best practices for incorporating social and mobile technologies.
Tags : social, mobile, technology, sales and marketing operations, crm, customer relationship management, networking, it management
     Salesforce.com
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