artificial intelligence

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How will digital transformation change the future of risk?

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

Rise of the Humans 2 Looking for a smarter approach to workforce planning?

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

10 Tips for Cloud Migration

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

The Rise of the Renaissance Database Administrator

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

eBook: Blended AI for Customer Experience

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

Forrester Report: Artificial Intelligence with the Human Touch

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

ContactBabel: The US Contact Center Decision-Makers' Guide: The Omnichannel Chapter

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

eBook: Blended AI for Customer Experience

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

8 Best Practices for Reducing Spend In Google Cloud Platform

Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Most organizations use public cloud to reduce costs, but end up spending way more than they expected. Google Cloud Platform is growing at a staggering rate for the business benefits and its rich features around Machine Learning, Artificial Intelligence, Big Data and Containers. However, it’s important to keep a tab on your spend while maximizing your cloud benefits. Reducing spend in GCP doesn’t need to be a process of trial and error -- there are proven ways to save money in your GCP environment without negatively impacting desired outcomes. Read this eBook to learn the 8 different ways to reduce your spend, including: -Terminating Zombie Assets -Deleting Unattached Persistent Disk -Rightsizing Compute Engine VMs Download to learn and practice these techniques to reduce spend in GCP.
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cloud management, google cloud platform, multicloud management
    
CloudHealth by VMware

Mitigating Risk in 2018

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
    
Fiserv

AI is changing the game in Digital Trust: Are you keeping up?

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

Artificial Intelligence and Cybersecurity For Dummies, IBM Limited Edition

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

Hitting the Wall with Server Infrastructure for Artificial Intelligence

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

Hitting the Wall with Server Infrastructure for Artificial Intelligence Whitepaper

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

Agile Finance Unleashed

Published By: Oracle     Published Date: Mar 08, 2019
Did you know that organizations with advanced finance teams are more likely to have a compelling digital customer experience? The driver behind this trend? A digital, customer-first way of working with greater investment in talent, innovation, and advanced technologies such as artificial intelligence (AI) and machine learning (ML). While finance has long taken advantage of technology to help drive productivity and collaboration, the goalposts have recently moved. Today’s organizations must adopt an agile finance operating model— powered by emerging digital technologies and skillsets—to better support the demands of an economy driven by continuous innovation.
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Oracle

Whitepaper: The Spotfire A(X) Experience: The Future of Analytics is Now

Published By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software

How TIBCO Helps Financial Services Turn Technology into Opportunity

Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION 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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TIBCO Software

Algorithmic Insurance Using Machine Learning and Artificial Intelligence to Make Better Decisions

Published By: TIBCO Software     Published Date: Jul 22, 2019
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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TIBCO Software

Rise of the Machines – Artificial Intelligence and Security

Published By: CheckMarx     Published Date: Jun 07, 2019
Artificial Intelligence (AI) software is everywhere being leveraged by many industries such as healthcare, fintech, and e-commerce. But how does AI impact the security space? Join Maty Siman, Checkmarx Founder and CTO, to get both a white hat and black hat perspective to AI and security.
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CheckMarx

Reimagine Storage in the Data Center

Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel

Hitting the Wall with Server Infrastructure for Artificial Intelligence Whitepaper

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

2018 Ponemon Institute Artificial Intelligence in Cybersecurity Study

Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
Ponemon Institute is pleased to present The Value of Artificial Intelligence in Cybersecurity sponsored by IBM Security. The purpose of this research is to understand trends in the use of artificial intelligence and how to overcome barriers to full adoption.
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Group M_IBM Q119

IDC Thinking Supply Chain Whitepaper

Published By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history in terms of driving efficiency and resiliency to disruption. In the context of the challenges facing supply chains, both now and in the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to all data sources, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
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Group M_IBM Q119

The artificial intelligence effect on industrial products

Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Organizations in the global industrial products industry face significant challenges: cost pressures, increased regulations, disruptive technologies and the increasingly costly delivery of raw resources. High volatility in commodity prices has put severe pressure on company margins and can quickly expose inefficient operations.
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Group M_IBM Q3'19

Accelerating Data Management with AI

Published By: Group M_IBM Q3'19     Published Date: Aug 21, 2019
Artificial intelligence (AI), including machine learning and deep learning, is set to become one of the most transformational technologies in the history of the world, affecting most aspects of our lives whether we’re conscious of it or not. The application of these technologies will likely reshape how people work, study, travel, govern, consume and pursue leisure activities.
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Group M_IBM Q3'19
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