artificial intelligence

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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: 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: 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
Published By: Bronto     Published Date: Jul 10, 2017
Artificial intelligence (AI) is a hot topic in commerce marketing and may be the fastest growing technology trend today. Experts believe AI will have a huge impact on our daily lives, our interactions with one another and the broader economy. A growing number of commerce marketing software providers claim their systems use AI. But it can be difficult to know for sure what that means for your brand and how you can use it to market products and services more effectively to consumers. Does the rise of AI and related technologies signal a sea change in commerce marketing? In a word, yes. Let’s take a closer look at these techniques and how they can boost your marketing efforts and success. We’ll also look at their limitations and the questions you can ask to help you distinguish between marketing hype and tools that can provide value for your business.
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artificial intelligence, commerce marketing, branding
    
Bronto
Published By: Rocket Fuel     Published Date: Mar 04, 2015
Remember back in the day when digital advertising was simple to understand? Like popping open the hood of a 1972 Ford, all the parts were simple and visible, and how they fit together was intuitive. It made sense. Now? Piecing together the modern digital advertising ecosystem is like trying to assemble a spaceship in your living room. But as Rocket Fuel Director of Artificial Intelligence Michael Benisch explains in our latest whitepaper, using advanced systems to buy media programmatically doesn't have to be overwhelming. Michael will take you "under the hood" of programmatic buying and walk you through the process of how and why a consumer sees the ads they see. Download the whitepaper and pop open the hood before choosing a programmatic partner.
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programmatic, programmatic partner, digital advertising, programmatic advertising, online advertising, ad platform, digital marketing, ad network, media buying, real-time bidding, digital media buys, big data, artificial intelligence, programmatic media buying, always-on marketing, dsp, big data marketing, optimize advertising performance, fixed-price bid models, marketing roi
    
Rocket Fuel
Published By: AdRoll     Published Date: Jul 11, 2017
The worlds of advertising and marketing technology are merging. This brings huge implications for marketers and the industry as a whole. In this report, you’ll learn: ? What’s the difference between ad tech and martech, really? ? Why are they merging? ? What difficulties does the merger present? ? How do brands stand to benefit? ? . . . and much more.
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advertising, marketing, artificial intelligence, automation, technology
    
AdRoll
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: Help Interactive     Published Date: Feb 01, 2011
Learn how our live chat interface incorporates a sophisticated Artificial Intelligence engine to increase revenue and reduce costs.
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live chat, artificial intelligence, virtual chat, hybrid chat
    
Help Interactive
Published By: Workday     Published Date: Oct 11, 2018
Artificial intelligence (AI) and machine learning are redefining business analytics. But for HR, use cases can be much more complex. Learn five key steps to build a strong foundation for answering HCM questions today and position yourself to use AI in HR going forward.
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Workday
Published By: Genesys     Published Date: Jul 13, 2018
When building artificial intelligence (AI) into your business strategy, it’s easy to become distracted by all the new technologies on the market—each one promising a better customer experience. Make decisions based on facts, not misconceptions. When you evaluate AI technologies, consider these facts: • Bots working with human agents enables a seamless customer journey • Automated self-service costs as little as 20 cents per interaction • A single platform makes it easier to deliver personalized, proactive and predictive experiences See how AI connects customer conversations in this new analyst guide, 2017 ContactBabel Inner Circle Guide to Self-Services.
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Genesys
Published By: Genesys     Published Date: Jul 13, 2018
Artificial Intelligence (AI) is staggering in its speed of handling simple requests and automating conversations. But AI solutions are not enough for the best customer experiences. Human emotions sometimes demand the human touch that only live agents can provide. Kate, Customer Experience AI by Genesys, combined with the power of human touch can improve customer experience, empower employees and dramatically reduce costs. This seamless combination of AI technology and humans, or “Blended AI by Genesys,” addresses the entire customer journey for the best possible outcomes. Download the eBook and learn how Kate and Blended AI lets you: • Personalize self-service • Connect customer conversations • Create smart agent experiences • Start small and deploy fast with MicroApps
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Genesys
Published By: Genesys     Published Date: Jul 13, 2018
Artificial intelligence (AI) can’t replicate the human touch, but it can ease your agents’ burden by handling many simple, repetitive requests. A new Forrester Consulting paper offers a look at the strengths and weaknesses of both AI and humans independently, yet how blending them together can give your customers the seamless end-to-end experience they expect. See how enterprises around the world use AI to improve customer service and uncover new revenue streams, the challenges they overcame, and why a blended solution with live agents makes sense. Download the paper to learn three key recommendations on using AI to improve agent productivity, agent satisfaction, and customer satisfaction.
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Genesys
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