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artificial intelligence

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By: Corrigo     Published Date: Nov 01, 2019
PropTech is disrupting the facilities management and real estate industries – from big data and IoT to artificial intelligence and augmented reality. The latest advances in PropTech are accelerating change in facilities management like never before, driving bottom line value and helping future-proof FM operations. The promise of PropTech is why our Corrigo team is investing so heavily in frictionless, self-learning platforms to help our clients use technology to truly transform their businesses. But as we amplify FM ops with new technology, we are just as passionate about helping our clients optimize their current processes. Why? Because making even small changes today can mean huge savings for their bottom line. In fact, 80% of organizations are leaking more FM value right now than they could immediately gain with new, emerging tech strategies. That’s no small leak – it’s a staggering loss for organizations of all sizes. After analyzing 700 million facilities management transactions a
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Corrigo
By: Corrigo     Published Date: Nov 01, 2019
Think about all the ways your life today is different than it was ten years ago. Think about how you shop, how you get around, how you plan travel, and how you stay in touch. So many things that used to be a hassle are now almost effortless. If your life feels different, it’s because you’re living in a new era – what experts are calling the 4th Industrial Revolution. You’ve probably heard some of the more catch-phrased components – big data, artificial intelligence, deep analytics. Some of these still seem like science fiction, but they are very real, very active, and crucial parts of what we at Corrigo call the Intelligence Economy. In the Intelligence Economy, data is collected, crunched, and activated to solve problems and create greater value for customers, partners, and employees. It’s the information, insights, and automations that enhance experiences, predict needs, strengthen connections, and deliver the right info or action at the right time, in the right way. And the Intellig
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Corrigo
By: Box     Published Date: Nov 06, 2019
Unstructured business content contains critical information that can be tough to extract, manage, and analyze. Artificial intelligence capabilities can automate many manual processes and help unlock this valuable resource. To find out more download this whitepaper today.
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Box
By: Intel     Published Date: Nov 14, 2019
Evaluating an existing HPC platform for efficient AI-driven workloads The growth of artificial intelligence (AI) capabilities, data volumes and computing power in recent years mean that AI is now a serious consideration for most organizations. When combined with high-performance computing (HPC) capabilities, its potential grows even stronger. However, converging the two approaches requires careful thought and planning. New AI initiatives must align with organizational strategy. Then AI workloads must integrate with your existing HPC infrastructure to achieve the best results in the most efficient and cost- effective way. This paper outlines the key considerations for organizations looking to bring AI into their HPC environment, and steps they can take to ensure the success of their first forays into HPC/AI convergence.
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Intel
By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights 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.
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TIBCO Software
By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
A new era of business reinvention is dawning. Organizations are facing an unprecedented convergence of technological, social and regulatory forces. As artificial intelligence (AI), automation, Internet of Things (IoT), blockchain and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies.
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Group M_IBM Q4'19
By: SDL     Published Date: Sep 20, 2019
Every commercial organization wants to grow. THrough its unlimited processing power Artificial Intelligence (AI) has the power to make that growth a reality. However, established workflows and processes often hamper the application of true AI, so how do organizations get started on digital transformation without disrupting their existing operations? Intelligent content holds the key to digital transformation. But what do we mean by intelligent content? How does it all aid digital transformation? How do you take your first steps forward for building an intelligent formation for AI? What are the misconceptions around AI-led transformations? This paper provides you with the answers.
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SDL
By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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SDL
By: Intel     Published Date: Sep 20, 2019
AI is fundamentally reshaping business as we know it. It drives innovation, efficiency, productivity, new operational models, and entirely new revenue opportunities. It is no wonder, then, that enterprises of all sizes are keen to adopt this transformative technology. When embarking on the AI journey, however, it is critical to understand that data is the heart of any effective AI algorithm. So, for any enterprise looking to harness the promise of AI, the first question to ask is quite simply, “is my data ready?” This technology brief simplifies the path to AI by offering actionable steps to data readiness.
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Intel
By: MicroStrategy     Published Date: Nov 08, 2019
With trends such as big data, artificial intelligence and IoT dominating today’s business technology headlines, the buzz around enterprise mobility (now considered known and familiar) may have lessened, but its importance has not. Consider its key role in today’s top tech trends, and then also consider this. According to an Oxford Economics survey of 500 senior IT executives, CEOs, and other senior managers, 80% say workers cannot do their jobs effectively without a mobile device. The same survey shows: 82% say mobile devices are critical to employee productivity 82% say mobile devices are critical to agility and the speed of decision making 76% say mobile devices are critical to customer service and satisfaction 75% say mobile devices are critical to innovation and collaboration 70% say mobile devices are critical to employee satisfaction and 70% say mobile devices are critical to revenue growth. The known and familiar now demands a fresh look and focus from enterprise organizatio
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MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
With trends such as big data, artificial intelligence and IoT dominating today’s business technology headlines, the buzz around enterprise mobility (now considered known and familiar) may have lessened, but its importance has not. Consider its key role in today’s top tech trends, and then also consider this. According to an Oxford Economics survey of 500 senior IT executives, CEOs, and other senior managers, 80% say workers cannot do their jobs effectively without a mobile device. The same survey shows: 82% say mobile devices are critical to employee productivity 82% say mobile devices are critical to agility and the speed of decision making 76% say mobile devices are critical to customer service and satisfaction 75% say mobile devices are critical to innovation and collaboration 70% say mobile devices are critical to employee satisfaction and 70% say mobile devices are critical to revenue growth. The known and familiar now demands a fresh look and focus from enterprise organizatio
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MicroStrategy
By: AppZen     Published Date: Aug 07, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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AppZen
By: AppZen     Published Date: Oct 21, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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AppZen
By: AppZen     Published Date: Oct 21, 2019
AI helps finance team to reduce spend, ensure compliance and streamline process: - Audit 100% of spend instantly - Comply with regulations like FCPA - Eliminate fraud and waste
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AppZen
By: ttec     Published Date: Nov 08, 2019
Today’s most successful brands blend Artificial Intelligence (AI) and automation with human intelligence (HUMINT) to augment their customer and employee experience strategies in the contact center – and as a result, they’re winning over customers. While some tasks are perfect for automation – think about those mundane, repetitive, low-value actions – the truth is, AI simply cannot replicate the “human touch.” Understanding the strengths of each kind of intelligence (AI + HUMIT), and using them to cooperatively deliver exceptional employee and customer experiences is a pivotal competitive differentiator for brands. These leading brands agree there are four specific ways to drive the greatest outcomes – and we go into detail about them in all our Contact Center Collaborative Intelligence strategy guide.
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ttec
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
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
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
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
By: Cisco     Published Date: Dec 20, 2018
Knowledge workers today have a rich portfolio of team collaboration tools to help them get their jobs done, starting with email and encompassing texting, file sharing, online chat and message boards, social media and video conferencing. Yet collaboration across these tools can be a frustrating experience, due to the complexity of the technology and lack of integration. The good news: the application of emerging technologies and artificial intelligence (AI) enables more people to connect when and how they need to. And that makes for more productive teams.
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Cisco
By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
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