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Published By: Oracle     Published Date: Apr 13, 2017
For hospitality leaders, anticipating consumer trends and seeking innovations that enhance guest experiences are vital exercises that need to be practiced diligently. Now, more than ever – with the coming wave of disruptive technologies – taking these steps helps ensure success tomorrow.
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hospitality, artificial intelligence, facial recognition, customer experience, restaurants, 3d printing
    
Oracle
Published By: Workday     Published Date: Mar 02, 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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artificial intelligence, hcm, five steps
    
Workday
Published By: Singularity University     Published Date: Oct 17, 2017
Agile and innovative companies like Netflix, Instagram, Amazon, Airbnb, and Uber have used exponential technologies to completely disrupt their industries. But some of the largest industries in the world have fallen prey to these and other disruptive companies. And most of them didn’t even see it coming. The convergence of exponential technologies, along with bold thinking and the willingness to take risks, is completely altering the business landscape. And that landscape is changing at an accelerating pace. Disruption is occurring far more quickly than ever before. On average, an S&P 500 company is being replaced every 2 weeks, and over 40% of today’s Fortune 500 companies on the S&P 500 will no longer exist within 10 years. The only options are to disrupt yourself or be disrupted by your competition. Which will you choose? If you choose the former, do you know how to proceed? This guide shares strategies you can employ today to start future-proofing your company.
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innovation, disruption, technology, business, management, leadership, strategy, revenue, retail, healthcare, manufacturing, government, financial services, learning, future of work, artificial intelligence
    
Singularity University
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Fiserv     Published Date: Jan 16, 2018
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
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2018 trends, aml trends, money laundering trends
    
Fiserv
Published By: Infosys     Published Date: Dec 12, 2017
Few topics garner more headlines today than artificial intelligence, and for good reason. Despite the fact tech luminaries can’t seem to agree if it’s the world’s greatest existential threat or saviour, there is little debate about its ability to fundamentally transform everyday life and the business models that support it. As Dr. Anastassia Lauterbach, Board member of Dun & Bradstreet, recently put it, “The internet disrupted 20% of all business models. Artificial intelligence will disrupt the remaining 80%.”
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artificial intelligence
    
Infosys
Published By: Infosys     Published Date: Dec 12, 2017
Overcoming AI’s barriers are not easy, but it is certainly achievable. The starting point to a successful journey is identifying the correct problem to solve. Too often, firms do this by looking internally at their own operations. Instead, companies should employ the powerful tenets of design thinking, which focus on customer empathy and outside-in thinking to iteratively test prototypes.
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artificial intelligence, design thinking
    
Infosys
Published By: Cloudera     Published Date: Mar 31, 2018
Download this special report to learn how non-tech businesses are beginning to use artificial intelligence at scale.
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artificial intelligence, business intelligence, intelligence, ai companies, business technology
    
Cloudera
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: KPMG     Published Date: Jul 10, 2018
Digital transformation brings risks and opportunities for internal audit and risk functions. Are you ready to help the business stay safe in an increasingly challenging technology environment? Watch this webinar to understand: • the unique risks from artificial intelligence • the relevance of AI technologies for internal audit and risk functions • what an effective risk and control framework looks like for AI risks • key actions internal audit and risk functions should consider now.
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KPMG
Published By: KPMG     Published Date: Jul 11, 2018
Looking for a smarter approach to workforce planning? With robotics and artificial intelligence transforming the workplace, analysing supply and demand over 3–5 years doesn’t make sense. HR leaders need to find a more flexible approach to workforce shaping. Read this report to discover: • the key trends that will shape the future workforce • what early movers into intelligent automation can teach us • what’s involved in agile workforce shaping • how to use our 5C Framework to navigate the changes ahead.
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KPMG
Published By: AppDynamics     Published Date: Sep 21, 2017
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: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
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Oracle
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
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artificial intelligence, customer experience, automation, genesys
    
Genesys
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.
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forrester, artificial intelligence, consulting, customer experience
    
Genesys
Published By: Genesys     Published Date: Feb 22, 2018
Your customers expect effortless and personalized engagement across all their channels. Delivering exceptional customer service requires the platform, infrastructure, applications and resources to identify, route and switch interactions seamlessly between agents and channels, while keeping relevant data available throughout the customer journey. Download this paper to learn how to: • Transform single interactions into personalized customer journeys • Empower employees with the right set of tools, including a unified desktop • Quickly deploy new technologies, like blended artificial intelligence (AI), bots and virtual assistants to exceed your customers’ rapidly evolving expectations
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contactbabel, contact center, omnichannel, routing, customer experience
    
Genesys
Published By: Genesys     Published Date: Feb 22, 2018
Bots and automation collide with the power of human touch. 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, customer experience, automation, genesys
    
Genesys
Published By: Fiserv     Published Date: Mar 02, 2018
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
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cyber crime, financial crime, financial security, customer experience, financial crime risk management, global payments, open banking standards, artificial intelligence, machine learning, fraud prevention, fraud detection
    
Fiserv
Published By: IBM     Published Date: May 09, 2018
Does the future of digital trust lie in artificial intelligence (AI)? Join the conversation between Valerie Bradford, product marketing manager at IBM Security, and Andras Cser, vice president and principal analyst serving security and risk professionals at Forrester, to discover how AI is changing the landscape of digital identity. Key takeaways: Understand how AI is helping organizations respond to current changes in the threat landscape. Examine how companies are using AI to establish trust in digital identities. Hear how AI is changing the end-to-end customer journey by improving the digital experience.
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digital trust, security, digital identity
    
IBM
Published By: IBM     Published Date: May 30, 2018
AI is a world-changing tool that enhances humankind’s abilities in a number of areas.
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IBM
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q119
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