artificial intelligence

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Published By: Oracle     Published Date: Feb 21, 2018
Artificial Intelligence (AI) is evolving at a rising pace, now able to mine vast amounts of data and learn from experience, with the potential to reshape entire industries. One application of this technology is to streamline how businesses interact with their customers, through 'chatbots'.To look at how chatbots will change certain aspects of doing business, such as customer service, Ceylon FT also weighed in with Oracle's Vice President of Product Management, Suhas Uliyar, for his insight on the matter.
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Oracle
Published By: Genesys     Published Date: Jun 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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artificial intelligence, customer experience, customer journey, self-servic e, personalization
    
Genesys
Published By: Genesys     Published Date: Jun 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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artificial intelligence, human touch, customer conversations, customer service, reduce costs
    
Genesys
Published By: Genesys     Published Date: Jun 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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artificial intelligence, customer service, agent productivity, recommendations
    
Genesys
Published By: Genesys     Published Date: Jun 13, 2018
In today’s digital world, the messaging and texting that have become a prominent part of most people’s lives are a form of asynchronous messaging. These are a simple, convenient method of communication for people on the go, with varied time in response based upon intrigue and urgency. Asynchronous messaging has become so ingrained in consumers’ lives, an expectation has evolved that businesses should be able resolve issues just as quickly and easily, and on the customer’s timetable. To keep up with consumer expectations and offer differentiated customer experiences, there is a strong case for implementing capabilities where messages can be fielded by bots using artificial intelligence, with a human touch through skilled representatives, or a combination of both within the same conversation, without losing context. Download this white paper to learn about: • 6 benefits to asynchronous messaging in B2C customer experience and operations • Incorporating asynchronous messaging into your u
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customer service, operations, asynchronous, messaging, customer expectations
    
Genesys
Published By: Genesys     Published Date: Feb 12, 2019
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: Personalise self-service Connect customer conversations Create smart agent experiences Start small and deploy fast with MicroApps
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Genesys
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: Anaplan     Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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Anaplan
Published By: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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Anaplan
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: HireVue     Published Date: Mar 05, 2019
The AI-in-recruiting space has exploded, leaving many recruiting leaders feeling overwhelmed and poorly qualified to evaluate vendors. Our AI Buying Guide is designed to help TA leaders cut through the hype and misinformation that surrounds artificial intelligence, and make highly qualified, informed buying decisions. YOU’LL LEARN: • What AI is, and what makes it different from previous technological innovations • Why different types of organizations see different levels of success with AI - and how to prep yours to maximize the impact • How to evaluate vendors across the 3 steps of the buying process • How to build a rock-solid business case for AI-driven recruiting technology Download the guide now.
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HireVue
Published By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
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inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
    
TIBCO Software
Published By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
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agile insurance, customer experience, digital initiatives, analytical techniques
    
TIBCO Software
Published By: TIBCO Software     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software
Published By: TIBCO Software     Published Date: Feb 26, 2019
MoneyLIVE’s annual survey of over 600 banking professionals found that traditional banks face a significant challenge when it comes to building AI-powered customer journeys. 75% believe that as the use of AI intensifies, banks will struggle to recruit the necessary expertise. 84% fear regulatory and liability issues surrounding AI. Just 7% think their organization’s use of AI is highly sophisticated. But for banks to keep pace with challengers and FinTechs, it’s crucial that they harness this continually evolving technology. Download this chapter of MoneyLIVE's The Future of Retail Banking Report 2018/19 now and understand how TIBCO’s Connected Intelligence Platform, with the use of AI and machine learning algorithms, can help with banks’ digital transformation needs.
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artificial intelligence, machine learning, financial services, retail banking
    
TIBCO Software
Published By: TIBCO Software     Published Date: May 16, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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data, applications, analytics, algorithms, innovation, cloud, technology, customer, banking
    
TIBCO Software
Published By: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
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data, analytics, customer, banks, intelligence, capabilities, customers, insights, banking
    
TIBCO Software
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
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 their advantage. This white paper provides a series of actions you can take to make the most of GDPR to both enhance your customer relationships and mitigate risk.
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data driven marketing, gdpr, compliancy, data privacy, customer data, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning
    
Selligent Marketing Cloud
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
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.
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customer lifecycle, lifecycle marketing, customer experience, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
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 better ones. 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.
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customer engagement, marketing strategy, customer retention, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
Published By: IBM APAC     Published Date: Jul 16, 2018
Elinar Oy Ltd Jumps to the front of the pack with disruptive innovation powered by AI technology Artificial intelligence (AI) solutions can—and will—transform processes across every industry. Long-time innovator Elinar saw an opportunity to take its content management solutions to new levels with AI technology. By choosing IBM infrastructure, the company enabled faster, easier development, exceptional performance and shorter time-to-market.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 19, 2018
Did you know that more than 77.1% of AI adopters have hit limitations with their on-premise server infrastructure? AI and deep learning are extremely demanding on server infrastructure. Unfortunately, not all servers are cut out for AI tasks. Read this white paper from IDC to find out: • What should be your server strategy when developing AI capabilities • Approaches for small to medium-sized AI initiatives, larger AI initiatives, choosing On-Premise or Cloud and the use of Accelerators Download this white paper to know why server infrastructure is crucial to your AI plans.
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IBM APAC
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: KPMG     Published Date: Jun 06, 2019
As businesses start to experiment with true artificial intelligence, safe delivery of AI demands a new risk and control framework. This report, designed for anyone tasked with the safe delivery of AI, proposes an effective solution. Read the report to find out: • the risks associated with AI and the challenge of managing them • a 17-category Risk & Controls framework for AI • in-depth details for key categories, including security management, business continuity and knowledge management • an essential glossary of AI terms.
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KPMG
Published By: Adobe     Published Date: May 15, 2018
There’s no doubt in the trends. Focusing on the customer experience is at the top of the priority list for most companies. Personalization plays a key role as top organizations strive to make experiences as compelling as possible with the integration of artificial intelligence and cloud-based technology. To understand and prioritize what your next big moves should be, read The Econsultancy 2018 Digital Trends report. Here’s what’s top of mind for the majority of your peers: Increasing digital marketing activities and budgets Investing in well-designed user journeys that facilitate clear communication Valuing creativity and design to differentiate their brands Combining digital skills with technology to improve customer experience
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Adobe
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