artificial intelligence

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Published By: Automation Anywhere APAC     Published Date: Aug 15, 2019
Global corporate enterprise AI practitioners are clearly still dealing with infrastructure issues related to talent and technology. End-to-end processes remain stubbornly carbon-based. Rule-based automation is truly not yet globally scaled across the majority of organizations. Double the AI And yet, the AI & Intelligent Automation Network members went from 21%, having deployed Intelligent Enterprise solutions to over 44% in just one year’s time. Over 4/5 expect to deploy AI in under two years The stated goal for deployment is just under 83% by the end of 2020. Considering the fact that they’ve essentially got two years, and those ranks have doubled in one year – doubling again in two years is achievable. Incidentally, that same number was only 67% a year ago. 50% expect to be established, globally scaling or refining AI in under two years Global corporate enterprise is in fact slowly but surely transforming into the intelligent enterprise of tomorrow. Having said that, it will be
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analyst, artificial intelligence, intelligent automation, rpa
    
Automation Anywhere APAC
Published By: Automation Anywhere APAC     Published Date: Aug 15, 2019
Robotic process automation (RPA) has emerged as a hugely popular business-IT priority – and with good reason. RPA platforms grow more and more sophisticated by the day, opening up fresh automation opportunities throughout the enterprise and business. But RPA platforms generally aren’t a one-size-fits-all investment. In this market guide, find out how the top RPA vendors stack up against one another on key investment criteria, including ideal use cases, unique RPA capabilities, and more.
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analyst, roi, rpa, artificial intelligence
    
Automation Anywhere APAC
Published By: Avanade DACH     Published Date: May 08, 2018
While there’s no hotter topic at the intersection of business and technology than AI, Avanade research shows that 88% of global business and IT decision-makers say they don’t know how to use AI, and 79% say that internal resistance limits their implementation of it. It doesn’t have to be this way. Human-centered AI, which focuses on augmenting the workforce to improve customer and employee experiences, can contribute directly to achieving business goals. This point of view discusses the ways your organization can take advantage of a human-centered AI approach, including redefining jobs and creating a digital ethics framework.
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Avanade  DACH
Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services (AWS), can help you generate deep insights in minutes, without the need for IT intervention.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
With more data to analyze than ever before, companies are finding new ways to quickly find meaning in their data with artificial intelligence (AI). Natural Language Generation (NLG) technologies deployed on Amazon Web Services (AWS) can enable organizations to free their employees from manual data analysis and interpretation tasks. NLG transforms data into easy-to-understand, data-driven narratives with context and relevance.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Common daily media broadcaster tasks such as ad verification are slow and costly. Done manually, they may also introduce inefficiencies that can interfere with transparency and payment accountability—and impact your bottom line. Meanwhile, recent and archived media lies idle when you could repurpose it to increase brand exposure and generate revenue. Learn how Veritone, Inc. used its aiWARE Operating System, building on Amazon Web Services (AWS), to help Westwood One, Inc., a large audio broadcasting network in the United States, develop Artificial Intelligence (AI) and Machine Learning (ML) solutions designed for ad verification and monetizing archived media. Download our webinar to learn how you can Automate ad verification and reporting tasks. Enhance archive content to make media searchable and reusable. Use AI and ML in the cloud for near real-time media intelligence. Start applying machine learning tools.
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AWS
Published By: Beqom     Published Date: Jun 14, 2019
New Techniques That Will Drive Revenue in 2019 If you’re ready to move beyond simple calculations and realize the vast potential of data driven selling, you’re ready to explore the next generation of SPM platforms. Download the report to learn how the modern technologies like Artificial Intelligence and Machine Learning, can give your sales reps a roadmap to better performance and give sales management insights that will enable them to achieve more profitable sales.
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Beqom
Published By: BlackBerry Cylance     Published Date: Sep 13, 2017
" Artificial intelligence and machine learning approaches provide radically new and improved endpoint protection. But not all companies' claims of using machine learning add up to a threat prevention strategy. Know the difference."
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BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Oct 06, 2017
Artificial Intelligence Cybersecurity - A New Approach to Cyberattacks
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BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) seems to be on everyone’s mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players, and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use its insights into their data to better capitalize on business opportunities. This additional information can enable engaging with customers more productively and efficiently, forming an edge against the competition. Read more in our AI survey summary.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: BlackBerry 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
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
How did you choose your anti-malware solution? Did you put it through the same rigorous process as your other security solutions? Or, did you simply renew your current product licensing? Perhaps you went with something you had used at a previous job. Maybe you even went so far as to read a few product reviews and third-party test results or evaluations. But, did you test the anti-malware solution yourself? In this book, we explain how artificial intelligence (AI) can help your enterprise combat malware threats in a more preventative, proactive, and radically better way than legacy anti-malware products. We explain why you shouldn't just believe a vendor's marketing. Instead, you should test different solutions for yourself, just as you would with any other major security investment. Read more in this eBook.
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anti, malware, testing, generation, data, security
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
VolitionRx Limited is a multi-national company which develops new ways to detect cancer. Their ideal product needed to be reliable, efficient, and easily manageable for their modestly-sized IT department. Additionally, the solution had to be readily deployable to their operations in four separate countries. According to Daniel Halter, Group IT Manager at Volition, traditional antivirus vendors were “offering the same old solution only slightly jazzier. The model they were offering, although new, was and is the same thing that has been around for a while.” Daniel also stated that Volition had little time to determine which vendors are “selling the truth and which ones are selling the dreams.” Seeking an ideal match, Daniel reached out to Khipu Networks for their security recommendation. Khipu Networks suggested CylancePROTECT®, Cylance’s artificial intelligence endpoint security product. Read the full case study to learn about the results Cylance was able to deliver.
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volitionrx, cyber, security, data
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Forrester Consulting was commissioned to conduct a Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) enterprises may realize by deploying Cylance's advanced threat protection solution, CylancePROTECT®, and its deployment and configuration services, ThreatZero™. The study aims to provide readers with a framework to evaluate the potential financial impact of CylancePROTECT and ThreatZero on their organizations, which will improve customer success with advanced cybersecurity and antivirus protection solutions. To better understand the benefits, costs, and risks associated with an investment in Cylance, Forrester interviewed the Chief Information Security Officer for a Large State County Government, who has used the solutions for over a year. Cylance provides a new-generation, predictive, cybersecurity, and malware prevention solution that leverages artificial intelligence to prevent malware from executing on endpoints in real time. This is usually implemented with ThreatZero, which is a continuous professional service program rendered by Cylance for users of CylancePROTECT. ThreatZero guides through the planning, implementation, integration, and ongoing optimization of the solution. This often includes end user education, training, and support to totally eliminate endpoint threats and incidents. With CylancePROTECT and ThreatZero, the organization was able to reduce security breaches to almost zero, catching malware before it ever gained access to public records. Relative to their previous endpoint protection, this significantly reduced costs from remediation/reimaging and incidence response. Additionally, IT and security employees’ productivity were boosted. Read more in the full TEI report.
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economic, cylance, roi, enterprises
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) technologies are rapidly moving beyond the realms of academia and speculative fiction to enter the commercial mainstream, with innovative products that utilize AI transforming how we access and leverage information. AI is also becoming strategically important to national defense and in securing our critical financial, energy, intelligence, and communications infrastructures against state-sponsored cyberattacks. According to an October 2016 report issued by the federal government’s National Science and Technology Council Committee on Technology (NSTCC), “AI has important applications in cybersecurity, and is expected to play an increasing role for both defensive and offensive cyber measures.” Based on this projection, the NSTCC has issued a National Artificial Intelligence Research and Development Strategic Plan to guide federally-funded research and development. The era of AI has most definitely arrived, but many still don’t understand the basics of this im
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artificial, intelligence, cybersecurity, machine
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
BlackBerry Cylance
Published By: BlackBerry 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
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Aug 22, 2018
Artificial intelligence (AI) is a security industry term that is now so broadly and loosely applied, it's become almost meaningless. Now that every product boasts AI capabilities, security decision makers are becoming cynical, even in the face of the most exciting innovation shaping cybersecurity today.
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security, solutions, industry, artificial, intelligence
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Mar 12, 2019
Artificial intelligence (AI) has become a security industry buzzword so broadly applied as to become almost meaningless. When every product boasts AI capabilities, security decision makers may quickly become cynical, even in the face of the most exciting innovation shaping cybersecurity today.
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BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Apr 15, 2019
Artificial intelligence (AI) leads the charge in the current wave of digital transformation underway at many global companies. Organizations large and small are actively expanding their AI footprints as executives try to comprehend more fully what AI is and how they can use it to capitalize on business opportunities by gaining insight to the data they collect that enables them to engage with customers and hone a competitive edge. But, while AI may indeed be the frontier of enterprise technology, there remain many misconceptions about it. Part of the confusion stems from the fact that AI is an umbrella term that covers a range of technologies — including machine learning, computer vision, natural language processing, deep learning, and more — that are in various stages of development and deployment. The use of AI for dynamic pricing and targeted marketing has been in use for a while, but actual AI computing where machines think like humans is still many years from becoming mainstream. T
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BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Apr 26, 2019
The concept of artificial intelligence (AI) has been with us since the term was coined for the Dartmouth Summer Research Project on Artificial Intelligence in 1956. Today, while general AI strives for full cognitive abilities, there is a narrower scope—this better-defined AI is the domain of machine learning (ML) and other algorithm-driven solutions where cybersecurity has embraced AI. SANS recently conducted a survey of professionals working or active in cybersecurity, and involved with or interested in the use of AI for improving the security posture of their organization. Read their report to learn their survey findings, conclusions, and recommended considerations.
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BlackBerry Cylance
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
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