artificial intelligence

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Published By: FICO EMEA     Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach. For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
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analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
    
FICO EMEA
Published By: FICO EMEA     Published Date: Jan 25, 2019
A leading communication services company serving more than 50 million individual, business and government subscribers across the United States.
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analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
    
FICO EMEA
Published By: FICO EMEA     Published Date: May 31, 2019
: FICO commissioned an independent research study by TM Forum to look at how global telecommunication providers are using (and plan to use) machine learning and advanced analytics to improve the customer experience in credit risk and beyond. This in-depth report includes key insights from a global survey as well as executive interviews with leading communication service providers such as Telstra, Vodafone, Sky, Globe Telecom, and BT on their vision for leveraging artificial intelligence to stop fraud, better engage customers across channels, improve risk management, and drive collection results. Read this report to understand: o What CSPs see as the biggest drivers for deploying advanced analytics over the next two years o How and where BT, Globe Telecom, Vodafone UK, Sky and Telstra are using analytics, from marketing through origination o The opportunities and pitfalls around financing devices as opposed to or in addition to subsidising them o The scope for analytics to improve c
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csp, advanced analytics, telco, improve credit risk, reduce fraud loss
    
FICO EMEA
Published By: Genesys     Published Date: Dec 20, 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: Dec 20, 2018
Companies across the world are innovating with artificial intelligence (AI) to improve customer experience and forge deeper relationships with customers. Through surveys and interviews with 599 executives, from large and mid-sized companies across the globe, this MIT report reveals that most customer-centric firms have already deployed AI extensively in their customer-facing operations and customer experience management processes. Get the global report and regional spotlights on North America, Latin America, Europe and Asia to access complete results. Key insights include: • Nearly 90% of respondents report measurable improvements in the speed of complaint resolution; 80% note enhanced call volume processing using AI • 80% of respondents report measurable improvements in customer satisfaction, service delivery and contact center performance • In North America, 60% of the respondents believe they will deliver a 10% or more increase in customer lifetime value in the next year • Europe
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Genesys
Published By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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Genesys
Published By: Darktrace     Published Date: Apr 02, 2019
As organizations increasingly rely on cloud services and SaaS applications to streamline business practices, the familiar paradigm of the network perimeter has dissolved, leaving a porous and ever-changing digital estate in its wake. While the benefits of cloud computing will ensure that migrations continue apace, the unique security challenges presented by the cloud will not only require a more agile mindset, but also self-learning technologies that can move at the speed of cloud deployments and spot subtle deviations indicative of a threat, while providing complete, real-time visibility across the digital business. Darktrace’s world leadership in the field of artificial intelligence for cyber security makes it the most effective and proven solution to detect unprecedented threats and anomalous cyber-incidents in the cloud. Whether faced with an insider threat, an attacker targeting sensitive data in test containers, or a significant misconfiguration that could be exploited in the fut
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Darktrace
Published By: VMware SD-WAN by VeloCloud     Published Date: Feb 19, 2019
Digital transformation has moved out of the early-adopter phase and into mainstream adoption. According to the ZK Research 2018 IT Priorities Study, 88% of businesses now have digital initiatives underway, up from 84% in 2017. The urgency of IT and business leaders is well warranted, as companies that master being digital will leapfrog the competition and be able to sustain a market-leading position. Those that lag in their digital initiatives will fall farther behind and will struggle to survive. The key to digital success is having an agile IT foundation that enables businesses to adapt to market transitions faster than the competition. However, there is no single technology called “digital transformation.” Rather, it is powered by the following four key enabling technologies
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sd-wan, cloud computing, artificial intelligence
    
VMware SD-WAN by VeloCloud
Published By: EverString     Published Date: Jun 27, 2018
Artificial Intelligence (AI) is becoming more prevalent as a component of marketing technology solutions. The promise for AI seems huge in part by what people think it is, what it can do, and what others say about it. EverString and Heinz Marketing conducted the first ever survey to understand how B2B marketers view AI currently and how they envision using AI as a strategic tool to help meet their goals and objectives.
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EverString
Published By: ESADE     Published Date: Jan 20, 2019
Read the latest articles on the most relevant management research topics such as Artificial intelligence collaborations for society.
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esade, executive education, business training, best practices, business management, collaboration
    
ESADE
Published By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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SAS
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios: Keeping track of essentials such as scalability and availability. Making sure your app delivers consistent service to multiple customers. Delivering data in real time, across the globe, without the complexities of multiple datacenters. Creating actionable insights from big data. Incorporating artificial intelligence into your apps. Locking down security while building in the cloud.
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Microsoft Azure
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: Comcast Business     Published Date: Feb 06, 2019
The quick-service restaurant industry continues to be a favorite among consumers who look to the sector for a wide variety of food served quickly and at a low price. The speed and efficiency of QSRs, which include the emergent “fast casual” restaurants, match today’s on-the-go lifestyle of consumers across all ages who often are too busy to cook at home. That said, consumers expect their dining experience at a QSR to be comfortable with conveniences ranging from WiFi connectivity to ordering kiosks and dining area entertainment on large screens or even tableside tablets. They expect the information on menu boards to be accurate and up-to-date and their meal orders to be fulfilled quickly and accurately. Technology is a major enabler in meeting consumers’ expectations while simultaneously helping QSR locations increase operational efficiencies and quality of service.
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restaurants, quick-serve restaurants, qsr, fast food, convenience food, restaurant technology, qsr technology, guest experience, pos, digital entertainment, wifi, television, network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet
    
Comcast Business
Published By: Comcast Business     Published Date: Feb 06, 2019
Hospitality is a customer-focused industry, with a hotel brand’s reputation and ultimate success dependent on the quality of the experience of its guests. It is no surprise then, that digital transformation efforts within the hospitality sector are focused on technologies that improve the guest experience, from check-in to check-out and everything in between. Today’s travelers are digitally savvy, using their smartphones and mobile devices for a multitude of tasks. They expect a high-quality connection throughout the property and the ability to perform certain tasks from the hotel’s app, such as checking in and choosing their own room. They expect in-room entertainment beyond basic cable and in-room digital devices they can use to order food, book a massage or control the lighting, for example.
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hospitality, hospitality providers, hotel technology, motel technology, guest experience, pos, digital entertainment, wifi, hospitality technology, network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet, ethernet, unified communication, digital initiative
    
Comcast Business
Published By: Comcast Business     Published Date: Feb 06, 2019
Retail has been transformed by technology in multiple ways, from the way customers interact with retailers to how products are offered and acquired. Indeed, the entire shopping experience has been redefined and expanded to enable customers to purchase products anytime, anywhere, with any device, from any number of retailers. Consumers’ changing shopping behaviors and their reliance on technology enables retailers to reach a wider swath of potential buyers, moving well beyond the borders of their physical store locations to new geographies and populations. That said, retailers must understand how to use technology effectively to draw in customers and entice them to purchase, as well as help them improve their operations and enable new, innovative ways to keep customers coming back.
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retail, shopping, retailers, wifi, retail technology, network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet, ethernet, unified communication, digital initiative, digital first, cloud, sdn, software-defined-networking
    
Comcast Business
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.
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marketing, retail, ecommerce, customer experiences
    
Emarsys
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.
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marketer, methoden, steigerung, arbeitseffizienz, besonders, emarsys
    
Emarsys
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: SAS     Published Date: Apr 25, 2017
Artificial intelligence and related forms of advanced analytics hold enormous potential for marketers to expand and deepen customer intelligence, improve business processes, and deliver engaging customer experiences. But many marketing organizations are just getting their feet wet in leveraging these technologies. To learn about the opportunities and challenges, IIA spoke with Analise Polsky, Business Solutions Manager, SAS Best Practices and Jonathan Moran, Principal Product Marketing Manager, SAS Customer Intelligence Solutions.
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SAS
Published By: AWS     Published Date: Jun 07, 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: Jun 11, 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: Jun 11, 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: Mintigo     Published Date: Sep 05, 2018
One of the most common use cases for AI in B2B is to make predictions about which accounts are most likely to buy and which leads are most likely to convert. However, use cases for AI are being extended beyond predictive account and lead scoring to include decision-making and process automation as well. Download this SiriusDecisions technology perspective on Predictive Analytics and Artificial Intelligence Technology to learn more. This paper will cover: • The benefits, evolution and capabilities of AI technology solutions for B2B organizations • The core and extended capability groups of AI • The business priorities supported by AI Fill out the form to get your free copy!
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Mintigo
Published By: Mintigo     Published Date: Sep 05, 2018
Artificial intelligence (AI) enables marketers using a predictive marketing platform to address many strategic questions. Whether you’re new to AI for Marketing or more seasoned with the use of AI, this ebook is a great resource for you. In this ebook, you’ll learn how to: • Optimize your marketing spending • Increase conversion rate across the funnel • Optimize customer engagement • Cross-sell and upsell throughout your customer base • Segment leads and grow customer value • Grow your market and find new prospects Fill out the form to get your free copy!
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Mintigo
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