cognitive computing

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Published By: IBM     Published Date: Feb 26, 2016
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online. Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up? As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
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cognitive computing, analytics software, ibm, insurance, process automation, business technology
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 26, 2015
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world.
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ibm, ibm watson, big data, data center, data analysis
    
IBM
Published By: IBM     Published Date: Feb 16, 2016
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
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analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights
    
IBM
Published By: BMC     Published Date: Nov 19, 2018
Learn how BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities
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bmc, cognitive service management, service management, itsm, automation, digital transformation, business technology
    
BMC
Published By: IBM     Published Date: May 22, 2018
Prepare competency frameworks to leverage AI and cognitive computing to transform your HR strategy.
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human resources, talent management
    
IBM
Published By: IBM     Published Date: Aug 09, 2016
Download this white paper to learn: - How you can scale the expertise of your best agent using cognitive technology - The 5-step process behind how Watson Engagement Advisor works - What you can do to improve customer engagement
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ibm, watson, customer engagement, customer experience, cognitive computing, watson engagement advisor, millennials, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Apr 21, 2017
"When the CMO Council recently asked more than 200 senior marketing decision makers how effectively they have aligned physical and digital experiences, half admitted that these integrated experiences were selective, at best. Yet it is alignment, consistency and connection that drive the foundational relationship between the brand and the buyer. The CMO Council, in partnership with IBM, will host a one-hour interactive webcast with industry-leading media, entertainment and telecommunications marketers to discuss how audience insights across the digital and physical experience have been turned into action, allowing these brands to personalize and enrich each engagement. Multiple case studies will also be discussed during the webcast that focus on the power of segmentation and innovations around cognitive computing. Speakers include Liz Miller, Senior Vice President of Marketing for the CMO Council; Jody Sarno, Dedicated Client Partner, Communications Industry for IBM; Chris Crayner, Ch
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ibm, senior marketing decision makers, audience targeting, digital experiences, branding
    
IBM
Published By: IBM     Published Date: May 16, 2017
When the CMO Council recently asked more than 200 senior marketing decision makers how effectively they have aligned physical and digital experiences, half admitted that these integrated experiences were selective, at best. Yet it is alignment, consistency and connection that drive the foundational relationship between the brand and the buyer. The CMO Council, in partnership with IBM, will host a one-hour interactive webcast with industry-leading media, entertainment and telecommunications marketers to discuss how audience insights across the digital and physical experience have been turned into action, allowing these brands to personalize and enrich each engagement. Multiple case studies will also be discussed during the webcast that focus on the power of segmentation and innovations around cognitive computing.
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
    
IBM
Published By: IBM     Published Date: Nov 10, 2016
In this 3-part video series, Jim Casey, senior offering manager for IBM Smarter Process gives insight into how the BPM discipline is evolving in the face of cognitive computing.
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ibm, middleware, cloud, cognitive computing, ibm smarter process, ibm bpm, bpm, knowledge management, enterprise applications, business technology
    
IBM
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 i
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Oracle
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published By: Avanade DACH     Published Date: Aug 01, 2018
Je besser die Daten, desto besser die Künstliche Intelligenz Sie möchten Ihre Kunden und deren Verhalten besser verstehen? Ihnen eine maßgeschneiderte Customer Experience bieten? Oder neue Geschäftsfelder identifizieren? Es ist vielleicht nicht immer offensichtlich: Aber die Grundlage jeder gut funktionierenden KI sind Daten. In unserem Leitfaden zeigen wir Ihnen in sechs Schritten, wie Sie Ihre Daten auf innovative Weise organisieren. So schaffen Sie eine optimale Grundlage, um künftig das Beste aus künstlicher Intelligenz, Cognitive Computing und maschinellem Lernen herausholen zu können.
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Avanade  DACH
Published By: IBM     Published Date: Aug 09, 2016
This white paper breaks down the Watson Engagement Advisor in full.
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ibm, watson, customer engagement, customer experience, cognitive computing, watson engagement advisor, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Begin your journey toward becoming a cognitive enterprise and start gaining unprecedented value from your own data. Watson Explorer reduces unnecessary research time and allows enterprises to work smarter and faster. Read this brochure to learn how Watson Explorer combines content and data with cognitive computing capabilities to help your organization work more efficiently and make better decisions.
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ibm, watson, software, explorer, applications, developer, cloud
    
IBM
Published By: IBM     Published Date: May 31, 2017
What defines cognitive manufacturing maturity? Our study found three stages of cognitive manufacturing maturity. We call those organizations in the earliest stage Observers, followed by Starters and Actives, respectively. These groups differ on two key characteristics: the presence of an overall strategy for cognitive manufacturing, and degree of strategic execution of multiple projects that enable higher project success and significantly fewer failed projects. Strategy is the crucial enabler of higher maturity. How do manufacturers get beyond the obstacles and barriers to increase cognitive manufacturing maturity? The obstacles encountered by our respondents are tied to organizational maturity. Overcoming them is fundamental to increase cognitive manufacturing success. In this report, we’ll first describe cognitive computing and how it gives rise to cognitive manufacturing. Then, we’ll review specific study findings and recommend actions for electronics executives.
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cognitive manufacturing, cognitive computing, organizational maturity, electronics, ibv
    
IBM
Published By: IBM     Published Date: Jul 13, 2017
IBM has a unique position in the marketplace, with cognitive platforms and services, industry-specific offerings and expert consulting to support electronics companies. To understand how the electronics industry is applying cognitive computing to manufacturing, the IBM Institute for Business Value surveyed 140 electronics executives around the world and across all industry subsectors. We found that a core group of early adopters has kicked off a new generation of production success with cognitive manufacturing and show greater returns on investment (ROI) with increased productivity. Our analysis answers some important questions.
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ibm, consulting, cognitive, electronic manufacturing, roi, increased productivity, cognitive manufacturing
    
IBM
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
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ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM APAC     Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into things no one would recognize as computers: appliances, cars, roadways, clothes, even rivers and cornfields. Tomorrow, many of these things will think, thanks to breakthroughs in cognitive computing. Even the things that don’t think themselves will continue collecting and reporting the massive quantities of data that feed cognitive systems.
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ibm, tss, cloud, mobile, appliances
    
IBM APAC
Published By: SAS     Published Date: Jun 05, 2017
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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SAS
Published By: IBM Watson Health     Published Date: Nov 20, 2017
Strong patient engagement leads to improved population health, a better experience of care, and lower healthcare costs. Even so, few healthcare organizations have a well-defined patient engagement strategy, according to research by IBM Watson Health. Read this whitepaper and learn why healthcare organizations should create a comprehensive patient engagement strategy, what each component of such a strategy entails and how to take the steps required to build an effective patient engagement program. From patient portals, telemedicine, and mobile health, to data sharing, automation tools and cognitive computing, you’ll gain the ability to leverage valuable tools for increasing patients’ involvement in their own health outcomes.
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patient outreach, patient relationship management, patient experience, population health management, cognitive computing, data, data sharing, healthcare costs, care, patient engagement, patient engagement strategy, patient portals, mobile health, telemedicine, automation tools, health outcomes
    
IBM Watson Health
Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
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ibm, analytics, fraud analytics, insurance, fraud
    
IBM
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