artificial intelligence

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Published By: Mintigo     Published Date: Sep 05, 2018
One of the most common use cases for AI in B2B is to make predictions about which accounts are most likely to buy and which leads are most likely to convert. However, use cases for AI are being extended beyond predictive account and lead scoring to include decision-making and process automation as well. Download this SiriusDecisions technology perspective on Predictive Analytics and Artificial Intelligence Technology to learn more. This paper will cover: • The benefits, evolution and capabilities of AI technology solutions for B2B organizations • The core and extended capability groups of AI • The business priorities supported by AI Fill out the form to get your free copy!
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Mintigo
Published By: Cylance     Published Date: Jul 02, 2018
SE Labs tested CylancePROTECT® in an offline environment against major threats that subsequently appeared in the wild. The test explores the product’s ability to prevent new threats from attacking endpoint systems successfully. CylancePROTECT contains technology designed to identify and block malware using what it claims to be an “artificial intelligence” (AI) model. This model can be updated over time. However, in this test we used the model created in May 2015 and did not permit further updates so that the software was unable to receive new models or edit the existing one. The test exposed systems protected by this older version of CylancePROTECT to very impactful threats discovered and reported widely after May 2015. In this way, the test shows to what extent the product was able to predict how future threats would appear. This “Predictive Advantage” (PA), the advantage that users of the product have against future adversaries, is presented in this report.
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malware, predictive, test, response
    
Cylance
Published By: Cylance     Published Date: Jul 02, 2018
Fileless attacks surged in 2017, largely due to their ability to bypass traditional antivirus solutions. Last year was host to several fileless malware victories. OceanLotus Group infiltrated Asian corporations during Operation Cobalt Kitty, and conducted nearly six months of fileless operations before detection. Ransomware hall-of-famers Petya and WannaCry both implemented fileless techniques in their kill chains. Every major player in information security agrees that fileless attacks are difficult to stop, and the threats are growing worse. Abandoning files is a logical and tactical response to traditional AV solutions which have overcommitted to file-intensive and signature-based blacklists. What can security solutions offer when there are no infected files to detect? How will a blacklist stop an aggressor that only uses legitimate system resources? The security landscape is changing and the divide between traditional AV products and next-generation security solutions is growing wider by the day. Cylance® has built a reputation on security driven by artificial intelligence and provides a frontline defense against fileless malware. This document details how Cylance protects organizations.
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malware, predictive, test, response
    
Cylance
Published By: IBM Watson Health     Published Date: Dec 20, 2018
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
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government, health and human services, artificial intelligence, data, cognitive insights, long-term care, case study, analytics, social program management, spm, healthcare technology, high-priced drugs, specialty drugs, population health
    
IBM Watson Health
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Dell EMEA     Published Date: Mar 05, 2019
Dell Technologies recently teamed-up with Institute for the Future (IFTF) and 20 experts from around the world to project into the future, forecast how emerging technologies - such as Artificial Intelligence (AI) and Internet of Things (IoT) - will reshape how we live and work by 2030, and gather insights that will help businesses navigate the coming decade. The experts concluded we’re on the cusp of the next era of human-machine partnerships. Learn more about Dell solutions powered by Intel®.
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Dell EMEA
Published By: Dynatrace     Published Date: Mar 06, 2017
This new report outlines how today's hyper-scaled, complex application environment has pushed IT Operations to a tipping point, and why a new approach is critical. It outlines why it is not adequate anymore to simply attempt to enable IT better, why you need to start using automation and AI (artificial intelligence), and steps you can take immediately to begin doing that.
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it operations, dynatrace, itoa, automation
    
Dynatrace
Published By: Oracle     Published Date: Apr 30, 2018
The future is fast approaching. Are you ready? For hospitality leaders, anticipating consumer trends and seeking innovations that enhance guest experiences are vital exercises that need to be practiced diligently. Now, more than ever – with the coming wave of disruptive technologies – taking these steps helps ensure success tomorrow.
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hospitality, artificial intelligence, facial recognition, customer experience, restaurants, 3d printing
    
Oracle
Published By: Oracle     Published Date: Apr 13, 2017
For hospitality leaders, anticipating consumer trends and seeking innovations that enhance guest experiences are vital exercises that need to be practiced diligently. Now, more than ever – with the coming wave of disruptive technologies – taking these steps helps ensure success tomorrow.
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hospitality, artificial intelligence, facial recognition, customer experience, restaurants, 3d printing
    
Oracle
Published By: KPMG     Published Date: Jul 11, 2018
Looking for a smarter approach to workforce planning? With robotics and artificial intelligence transforming the workplace, analysing supply and demand over 3–5 years doesn’t make sense. HR leaders need to find a more flexible approach to workforce shaping. Read this report to discover: • the key trends that will shape the future workforce • what early movers into intelligent automation can teach us • what’s involved in agile workforce shaping • how to use our 5C Framework to navigate the changes ahead.
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KPMG
Published By: LogRhythm     Published Date: Aug 08, 2016
It feels as if these folks have been around forever. They started life as a SIEM with a heavy emphasis on log management. Today they are all that plus a solid suite of next-generation attributes. They have many of the attributes of next-gen SIEMs: artificial intelligence, sophisticated log correlation, sophisticated pattern recognition and behavioral analysis. Their strength is, as it always has been, log management. But “log management” has taken on an entirely new dimension with this product. As is absolutely necessary today, it has the intelligence to analyze, correlate and make sense of huge amounts of data.
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security, technology, best practices, information technology, business intelligence, business technology
    
LogRhythm
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios: Keeping track of essentials such as scalability and availability. Making sure your app delivers consistent service to multiple customers. Delivering data in real time, across the globe, without the complexities of multiple datacenters. Creating actionable insights from big data. Incorporating artificial intelligence into your apps. Locking down security while building in the cloud.
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Microsoft Azure
Published By: Juniper Networks     Published Date: Aug 08, 2017
As enterprises embark on the digital transformation to take advantage of artificial intelligence, big data, machine learning, IoT, and cloud, they need a network infrastructure that gives them a solid foundation. Juniper Networks® Unite CloudEnabled Enterprise allows networking across your entire enterprise—campus, branch, and data center—ultimately helping you reduce risk, increase agility, lower costs, and enhance the customer experience. Here are the Top 6 reasons why enterprises embarking on the journey of digital transformation should switch to the Juniper Unite Cloud-Enabled Enterprise solution.
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Juniper Networks
Published By: FICO EMEA     Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach. For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
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analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
    
FICO EMEA
Published By: Emarsys     Published Date: Feb 15, 2018
Als Marketer am Puls der Zeit sind Sie stets auf der Suche nach Methoden zur Steigerung Ihrer Arbeitseffizienz. Besonders interessant ist dabei spezielle Software, die einen Teil Ihrer Arbeit übernehmen kann. Vermutlich haben Sie in letzter Zeit viel über Artificial Intelligence gelesen; bzw. darüber, was AI als Technologie erreichen kann. Und tatsächlich gibt es in der Marketingwelt kaum einen Ort, an dem AI nicht gegenwärtig thematisiert und diskutiert wird.
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marketer, methoden, steigerung, arbeitseffizienz, besonders, emarsys
    
Emarsys
Published By: Cloudera     Published Date: Mar 31, 2018
Download this special report to learn how non-tech businesses are beginning to use artificial intelligence at scale.
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artificial intelligence, business intelligence, intelligence, ai companies, business technology
    
Cloudera
Published By: HRMC     Published Date: Sep 23, 2010
HRMC Acclaim is a unique talent acquisition SaaS platform that uses artificial intelligence to automate the decisioning and selection process, and starts with an immediate interview rather than a cold, flat resume request.
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applicant, recruiting, staffing, applicant processing, applicant evaluation, assessment, selection, hiring
    
HRMC
Published By: HireVue     Published Date: May 16, 2018
WHY SO MANY COMPANIES ARE RETHINKING ASSESSMENTS If you’re a member of the Talent Acquisition team, there’s a good chance you use a pre-employment assessment at some point in your hiring process. According to the Talent Board, 75% of employers are using some sort of pre-hire assessment. And the Aberdeen Group notes that of its “Best in Class” organizations, 91% use assessments to screen candidates THIS EFFECTIVE SCREENING TOOL HAS UNINTENDED CONSEQUENCES In this eBook, we’ll look at the science behind traditional assessments and why despite sound science, they don’t work for candidates today- and how they can be transformed with video and artificial intelligence.
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HireVue
Published 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
Published By: SAS     Published Date: Apr 25, 2017
This Checklist explores how AI can be used to enhance marketing analytics and to help companies both better understand their customers and deliver a great customer experience. It also provides practical advice on how organizations can use what they may already be doing to become more effective in marketing.
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SAS
Published By: Comcast Business     Published Date: Feb 06, 2019
Just like your business, technology never stops advancing. Each year, there are new ways that technology can automate processes, lower costs, and enhance customer and employee satisfaction - all with the goal of increasing revenue! And while it can be difficult to change how your business works, leaving old methods behind and embracing new technology can help lead your business to more success and growth.
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network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet, ethernet, unified communication, digital initiative, digital first, cloud, sdn, software-defined-networking, gig speed, mobile, big data, analytics, automation
    
Comcast Business
Published By: CA Technologies     Published Date: Jul 20, 2017
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
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CA Technologies
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