artificial intelligence

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Published By: 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
    
Cylance
Published By: SAS     Published Date: Mar 06, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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SAS
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: Mar 06, 2018
This interview survey explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on AI and their organisations’ levels of readiness were diverse. Download this whitepaper to learn more!
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SAS
Published By: SAS     Published Date: Mar 06, 2018
What management and leadership challenges will the next wave of analytic technology bring? This Insight Center on HBR.org went beyond the buzz of what artificial intelligence can do, to talk about how it will change companies and the way we manage them.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence Practice, sees particular interest and application in AML circles. "There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses: • The new industry intrigue with artificial intelligence a
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SAS
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: IBM     Published Date: Aug 01, 2018
Your customers aren't the only ones who can benefit from advancing artificial intelligence (AI) support — your employees can, too. Chatbots help employees who service customers, and you can build them with mature AI components. But success requires a focus on tasks rather than job replacement as well as a cyborg-like division between human and machine tasks. This report helps infrastructure and operations (I&O) pros determine which tasks are best executed by people and which are best left to machines, with use cases describing how that looks.
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IBM
Published By: IBM     Published Date: Aug 01, 2018
Inefficient contracting can cause firms to lose up to 40% of a deal’s value--but contracting doesn't have to be inefficient anymore. Watson can help your procurement teams dramatically cut the time they spend manually reading through, highlighting and comparing dense contracts--all while increasing the accuracy of their work. Join IBM Watson and client experts as they share how easy it is to start applying artificial intelligence to streamline contract reviews and improve accuracy. Get started today ... and in as little as six weeks, your contract governance teams can be implementing a transformative AI-solution.
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Feb 27, 2018
Forrester survey: global IT leaders plan their transition to consolidated, cognitive smartphone, tablet, laptop, and IoT security by 2020.
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iot security, internet of things, mobility
    
Group M_IBM Q1'18
Published By: VMS     Published Date: Jul 31, 2009
If management has not already cut your budget, be prepared to “prove it or lose it” soon. This report will help you think through your measurement strategies, and either fine-tune an existing program, or get one started post haste.
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vms, economy, measurement strategies, budget, pr objective, objective, smart media, share, radio monitoring, proof of performance, realtime monitoring, artificial intelligence, human analysis, opportunities to see, ots, metrics, benchmark, proof of performance
    
VMS
Published By: VMS     Published Date: Jul 31, 2009
One of the big challenges with massive PR initiatives is the difficulty in measuring the outcomes as it pertains to your brand and business objectives set. Read this guide for a five step process that will help you determine the impact of your PR initiatives and compare it to the organizational goals they were aimed to accomplish.
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awareness, preferences, share, share of discussion, brand equity, cgm/wom, goals, economy, measurement strategies, budget, pr objective, objective, smart media, share, radio monitoring, proof of performance, realtime monitoring, artificial intelligence, human analysis, opportunities to see
    
VMS
Published By: VMS     Published Date: Jul 31, 2009
In the times of increased awareness and integrated communication across channels, it is crucial to understand correlation between the advertising spend and the PR that surrounds your brand. This report sheds new light on the impact of earned and paid media on the effectiveness of paid advertising.
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vms, economy, measurement strategies, budget, pr objective, objective, smart media, share, radio monitoring, proof of performance, realtime monitoring, artificial intelligence, human analysis, opportunities to see, ots, metrics, benchmark, proof of performance, communications, vantage
    
VMS
Published By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
Published By: SAS     Published Date: Oct 03, 2018
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? Technology is redefining what’s possible in fighting fraud and financial crimes, and SAS is at the forefront, offering solutions to: • Protect from reputational, regulatory and financial risks. • Reduce the cost of fraud and financial crimes prevention. • Gain a holistic view of risk across functions. • Include cyber events in regulatory report filings. In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security. SAS fraud solutions use advanced analytics and artificial intelligence to help your organization better detect and prevent fraud. By applying analytics and powerful machine learning on a unifying platform, SAS helps organizations around the globe detect more financial offenses, reduce false positives and run more efficient investigations.
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SAS
Published By: SAS     Published Date: Jan 30, 2019
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
Published By: Bronto     Published Date: Feb 01, 2018
What you'll learn: • Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. • How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. • What artificial intelligence is offering today – and what it could offer years from now. • How omnichannel merchants can leverage physical locations as part of their online strategy.
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email, omnichannel, retail, ecommerce
    
Bronto
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: SAS     Published Date: Oct 18, 2017
Are you thinking about adding artificial intelligence to your organization? It’s certainly a hot topic and worth the attention. This paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
What management and leadership challenges will the next wave of analytic technology bring? This Insight Center on HBR.org went beyond the buzz of what artificial intelligence can do, to talk about how it will change companies and the way we manage them.
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SAS
Published By: Conversica     Published Date: Nov 10, 2015
In this whitepaper you will learn how artificial intelligence can automatically interpret and respond to emails from leads.
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conversica, sales leads, leads, lead nurturing, intelligence
    
Conversica
Published By: Pure Storage     Published Date: Feb 04, 2019
Download the new report from Pure Storage to find out how to tap into the world of big data and emerging AI technology.
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pure storage, data storage, ai technology, artificial intelligence, big data
    
Pure Storage
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