Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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.
Published By: Genesys
Published Date: Feb 21, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect.
Learn how you can move beyond single interactions with true omnichannel routing:
• Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency
• Enable seamless transitions between digital self-service and live employee contact
• Replace single, random interactions with thoughtfully designed and optimized customer journeys
Published By: Genesys
Published Date: Feb 21, 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
Published By: Genesys
Published Date: Feb 21, 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.
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations.
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance,
Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
• Global payment initiatives
• Open Banking standards
• Artificial intelligence and machine learning
• Consumer demand for real-time fraud prevention and detection
"This live workshop will explore the technology and value behind the Smart Load Balancer. During this workshop, you'll:
- Learn differences between Smart Load Balancers and Legacy Load Balancers.
- Understand the value of Smart Load Balancers in traditional and modern use cases.
- See a live demonstration of Avi Networks’ Smart Load Balancer in action.
Leading enterprises across financial services, media, technology, oil & gas, and eCommerce have already made the switch to Avi Networks.
To watch the workshop, fill out this form."
The General Data Protection Regulation – or GDPR – is a European
Union (EU) law that protects the rights of individuals with respect to
their data. Adopted as an EU law in April 2016, organizations that hold
data about any resident of the EU must be compliant by May 2018.
With attention-grabbing fines of €20 million or 4% of global annual
turnover, GDPR commands attention at the highest levels. And despite
the “legalese” that compliance suggests brands utilize, the brands that
balance legal compliance with a human approach will turn GDPR to
This white paper provides a series of actions you can take to make
the most of GDPR to both enhance your customer relationships and
Among all the trends and buzzwords currently shaking up the marketing industry, one concept is emerging as the one
to watch: customer experience (CX). Providing individual customers with the best possible experience is becoming the
top priority at the moment, even to the point where experience outshines product quality(!) as the main differentiator.
This is confirmed by a recent Gartner1
survey, in which 86 percent of participating companies listed customer experience
as the main factor for gaining a competitive advantage, compared with merely 36 percent in 2012.
20% of customers will be responsible for 80% of profit – or
so says The Pareto Principle, also known as the “rule of the
vital few.” So, while marketers are trying hard to increase market
share, they should be equally (or even more) concerned about
nurturing the customer relationships they already have. That
means finding ways to strengthen bonds with your best
customers and figuring out how to turn good customers into
Personalization, truly helpful support, data-driven contextual
marketing, re-engagement strategies, gamification… There’s
an almost overwhelming number of options out there, each
touted as your golden key to an enduring bond with your users.
In the pages that follow, you’ll learn about five strategies to drive
engagement and retention with actionable tips from Selligent
clients – top brands that are at the forefront of creating and
sustaining customer loyalty.
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions.
This paper is your first step in understanding:
• how you can leverage and operationalize analytics in your everyday business processes
• improve customer relationships
• grow revenue in an increasingly competitive world
To keep your operations running smoothly, you need industrial printers that are ready for today, ready for tomorrow, ready for anything.
Zebra’s new ZT600 printers deliver next-generation power, intelligence and performance, in virtually any industrial environment. Building on the legacy of the legendary Xi™ Series, the ZT610™ and ZT620™ are built for best-in-class integration, deployment, management and maintenance:
• Link-OS® remote management and cloud capabilities give you complete visibility—anywhere, anytime.
• Secure cloud connections with advanced diagnostics let you scale up or down quickly and easily.
• Micro-consistent printing delivers high-quality labels as small as 3mm.
• Field-installable upgrades and flexible configuration options future-proof your set-up.
Rugged environments? Demanding applications? Unpredictable challenges? Keep your supply chains working at full tilt with full visibility, thanks to the brawn, brains and adaptability of Zebra’s new ZT600 printers.
Machine learning is all around us, from our smart home applications to driverless automobiles. The efficiency of automated decision-making is changing the game in cybersecurity, expanding the capabilities of humans by sifting through enormous quantities of data and presenting it as actionable intelligence.
Machine learning makes security teams better, and vice versa. Human-machine teams deliver the best of both worlds, allowing endpoint security to continually evolve to stop new attack tactics. Your team deserves the best that cybersecurity has to offer, and today the best endpoint security products leverage machine learning.
This paper can help you achieve successful legacy modernization projects. It presents practical steps for starting application modernization projects and describes the benefits of three high payback strategies. It also reviews the criteria for evaluating a variety of modernization tools.
The key benefit of creating a case management methodology is to multiply its effectiveness by replicating it across the organization's patient-facing departments, practices and functions. In this way, your organization can reduce costs, increase quality and streamline its operations.
Welcome to the future of 24/7, any-time, anywhere access to digital content - where dynamic publishing solutions are the mantra. Is your organization ready for this brave new world of digital content distribution? This whitepaper explores how to prime your organization to leverage rapid digital content consumption as a key to business intelligence.
Published By: Emarsys
Published Date: Feb 14, 2018
Expectations for dramatically improved customer experiences (CX) are driving retail investments in omnichannel technologies that provide competitive differentiation beyond core products and services. As retailers pursue more advanced capabilities, artificial intelligence (AI) technologies provide innovative opportunities for retail marketers. It is, therefore, mission-critical for retail decision-makers to understand how ready their organizations are to embrace AI technologies with the potential to propel them forward as industry leaders.
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.
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.
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
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
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!
Machines learn by studying data to detect patterns or by applying known rules to:
• Categorize or catalog like people or things
• Predict likely outcomes or actions based on identified patterns
• Identify hitherto unknown patterns and relationships
• Detect anomalous or unexpected behaviors
The processes machines use to learn are known as algorithms. Different algorithms learn in different ways. As new data regarding observed responses or changes to the environment are provided to the “machine” the algorithm’s performance improves. Thereby resulting in increasing “intelligence” over time.