artificial intelligence

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Published By: AppDynamics     Published Date: Dec 08, 2017
This Whitepaper looks into the technologies once relegated to the pages of science fiction novels—artificial intelligence, digital currency, and self-driving cars to name a few—have become a reality. Enterprises must innovate with high velocity and at massive scale to stay competitive. Cloud adoption has become a strategic imperative for enterprises—it’s the price required to transform into a digital business.
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AppDynamics
Published By: Infosys Limited     Published Date: Aug 02, 2019
Cloud along with other technologies such as Big Data, Internet of Things, Artificial Intelligence and Blockchain have made it possible for enterprise to have bolder visions for the future. The new technologies motivate them to accelerate their digital transformation journey and deliver more rewarding experiences to clients.
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Infosys Limited
Published By: Adobe     Published Date: Jun 26, 2019
Artificial intelligence (AI) and analytics make a good team. With AI-powered analytics, you and your team can concentrate on the initiatives that really matter instead of burying yourself in reports.
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Adobe
Published By: Gigaom     Published Date: Oct 07, 2019
While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the attitude, appreciation, and approach necessary to drive adoption and working solutions. To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and panelists Jen Stirrup, Lillian Pierson, and special guest from Cloudera Fast Forward Labs, Alice Albrecht. Our panel members are seasoned veterans in the database and analytics consulting world, each with a track record of successful implementations. They’ll explain how to go beyond the fascination phase of new technology towards the battened down methodologies necessary to build bulletproof solutions th
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Gigaom
Published By: LogRhythm     Published Date: Aug 08, 2016
It feels as if these folks have been around forever. They started life as a SIEM with a heavy emphasis on log management. Today they are all that plus a solid suite of next-generation attributes. They have many of the attributes of next-gen SIEMs: artificial intelligence, sophisticated log correlation, sophisticated pattern recognition and behavioral analysis. Their strength is, as it always has been, log management. But “log management” has taken on an entirely new dimension with this product. As is absolutely necessary today, it has the intelligence to analyze, correlate and make sense of huge amounts of data.
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security, technology, best practices, information technology, business intelligence, business technology
    
LogRhythm
Published By: FICO     Published Date: Mar 02, 2018
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
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fico, customers, analytic, management, applications, solutions
    
FICO
Published By: MemSQL     Published Date: Nov 15, 2017
Data Warehousing in the Age of Artificial Intelligence This Ebook will guide you through building and deploying scalable, production-ready artificial-intelligence applications. Inside, you will find several artificial intelligence use cases, code samples to help you get started, and an outline of high throughput data processing architectures necessary for developing AI applications.
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data warehousing, artificial intelligence, data piplelines
    
MemSQL
Published By: Infosys     Published Date: May 21, 2018
In HR, working purely on instinct is dangerous. HR Professionals are highly skilled, and their experienced opinion is extremely valuable when it comes to selecting candidates, assessing performance, and all the other important aspects of this function. But can you rely on their instinct alone? This was the big question that our client, a large CPG company was facing. When we realized this was the problem, the solution was obvious. Not necessarily easy, but obvious. There was plenty of data, but it wasn't being used to improve HR decision making. We designed an analytics solution that would improve HR Decision making. We designed an analytics solution that would improve the efficiency of data gathering, to make the HR function more effective. We then proposed an additional layer, which would use artificial intelligence (AI) to improve HR Decision-making further.
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company, employee
    
Infosys
Published By: Infosys     Published Date: Jun 14, 2019
Introduction Cloud along with other technologies such as Big Data, Internet of Things, Artificial Intelligence and Blockchain have made it possible for enterprises to have bolder visions for the future. The new technologies motivate them to accelerate tier digital transformation journey and deliver more rewarding experiences to clients.
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Infosys
Published By: Cloudian     Published Date: Apr 26, 2018
Data is the life-blood of artificial intelligence and machine learning (AI and ML). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships.
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Cloudian
Published By: Dassault Systemes SolidWorks Corp.     Published Date: Jul 11, 2018
How do you design and manufacture products suited for the Fourth Industrial Revolution — the Internet of Things (IoT) and artificial intelligence (AI)? Hint: You can’t do it with single-point 3D modeling and 2D drawing solutions. Learn how upgrading to an integrated 3D product development solution can help boost productivity, reduce costs, improve quality, foster collaboration and increase innovation.
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designing, fourth, industrial, revolution
    
Dassault Systemes SolidWorks Corp.
Published By: ESADE     Published Date: Dec 20, 2018
Download to learn how Artificial Intelligence may affect the practice of management itself.
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artificial intelligence, machine learning, operations management, robot managers, business technology
    
ESADE
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: Google - SAP     Published Date: Dec 02, 2019
"Report: 2019 Predictions for Customer Data Management Where will the next evolutions in customer experience, consumer privacy and the digital enterprise lead your business in 2019? In this report, we break down the hottest trends, biggest roadblocks and most tantalising opportunities facing the customer data management market. Download it now to explore megatrends that we see as being vital considerations if you want to thrive – not just survive – in today’s and tomorrow’s digital marketplace. You’ll discover: --Forecasts for the future of data protection and consumer privacy regulations --Predictions about cutting-edge technologies such as artificial intelligence, machine learning and customer data platforms --New frontiers ushered in by evolving cloud technology integrations and the convergence of the front and back offices"
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Google - SAP
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: Genesys     Published Date: Jan 13, 2020
Applications and devices that are enabled for artificial intelligence (AI) increasingly think and act more like humans. This gives AI huge potential to make customer service more effective by streamlining case management and other predictable tasks. But all the noise about AI can be overwhelming. This CustomerThink paper outlines key findings, predictions and guidance from analysts and industry leaders about the use of AI in the customer service market, including: Why loyalty-based customer experiences are as important as increased efficiency How to ensure that efficiency gains don’t undermine customer experience objectives How blended AI eases the shift of work from AI to humans and back, as customers require Five tactical steps to properly implement your AI customer experience strategy Get the in-depth analyst view from the latest paper by CustomerThink, Artificial intelligence: Friend or foe of customer service?
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Genesys
Published By: Genesys     Published Date: Jan 13, 2020
Applications and devices that are enabled for artificial intelligence (AI) increasingly think and act more like humans. This gives AI huge potential to make customer service more effective by streamlining case management and other predictable tasks. But all the noise about AI can be overwhelming. This CustomerThink paper outlines key findings, predictions and guidance from analysts and industry leaders about the use of AI in the customer service market, including: Why loyalty-based customer experiences are as important as increased efficiency How to ensure that efficiency gains don’t undermine customer experience objectives How blended AI eases the shift of work from AI to humans and back, as customers require Five tactical steps to properly implement your AI customer experience strategy Get the in-depth analyst view from the latest paper by CustomerThink, Artificial intelligence: Friend or foe of customer service?
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Genesys
Published By: Genesys     Published Date: Jan 13, 2020
Implementing artificial intelligence (AI) is one of the most important things you can do to gain a competitive edge today—and over the long-term. Make a bigger impact with Genesys blended AI. The ability to automate your information, processes, insights and trends—and add the power of your human team—is built into every area of our portfolio. Read this eBook to discover our unique AI capabilities and see how customers are: Reducing cart abandonment by 30% Enriching customer experience Achieving critical KPIs
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Genesys
Published By: MuleSoft     Published Date: Sep 11, 2019
Artificial intelligence (AI), the internet of things (IoT), and security technologies are set to disrupt every industry in the next decade. To get there, leading organizations like McDonald’s, Uber Eats, and HSBC have built adaptable digital platforms via APIs. In the ebook, MuleSoft founder Ross Mason shares his point of view on how to build a thoughtful API strategy that will help your organization take full advantage of emerging technologies like AI, chatbots, and IoT without compromising on security. Download this ebook to learn: How to unlock AI customer insights with an API strategy. How to make APIs the bedrock of IoT development. Why zero trust is key to API security in the new API economy.
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MuleSoft
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
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